diff --git a/.gitignore b/.gitignore index b8fc1f36a..7d4fc7b1e 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,6 @@ .DS_Store .ipynb_checkpoints desktop.ini + +.idea/ +venv/ diff --git a/README.md b/README.md index 23e75d332..41c1ad392 100644 --- a/README.md +++ b/README.md @@ -127,7 +127,9 @@ bids-examples (in alphabetical order). | eeg_matchingpennies | @sappelhoff | Offline data of BCI experiment decoding left vs. right hand movement. BrainVision data format (.eeg, .vhdr, .vmrk) | https://doi.org/10.17605/OSF.IO/CJ2DR | | eeg_rishikesh | @arnodelorme | Mind wandering experiment. EEG data in Biosemi (.bdf) format | https://openneuro.org/datasets/ds001787 | | eeg_face13 | @andesha | Deconstructing the early visual electrocortical response to face and house stimuli. EDF format | | -| eeg_hed_small | @VisLab | Shows usage of Hierarchical Event Descriptor (HED) in events files | | +| eeg_ds003654s_hed | @VisLab | Shows usage of Hierarchical Event Descriptor (HED) in events files | https://openneuro.org/datasets/ds003645 | +| eeg_ds003654s_hed_inheritance | @VisLab | HED annotation with multiple inherited sidecars | https://openneuro.org/datasets/ds003645 | +| eeg_ds003654s_hed_longform | @VisLab | HED annotation using tags in long form. | https://openneuro.org/datasets/ds003645 | | eeg_cbm | @cpernet | Rest EEG. European Data Format (.edf) | | ### iEEG datasets diff --git a/eeg_hed_small/CHANGES b/eeg_ds003654s_hed/CHANGES similarity index 100% rename from eeg_hed_small/CHANGES rename to eeg_ds003654s_hed/CHANGES diff --git a/eeg_ds003654s_hed/README b/eeg_ds003654s_hed/README new file mode 100644 index 000000000..4b1d4f00c --- /dev/null +++ b/eeg_ds003654s_hed/README @@ -0,0 +1,24 @@ +**Introduction:** +This dataset consists of the MEEG (sMRI+MEG+EEG) portion of the multi-subject, multi-modal face processing dataset (ds000117). This dataset was originally acquired and shared by Daniel Wakeman and Richard Henson (https://pubmed.ncbi.nlm.nih.gov/25977808/). The data has been repackaged in EEGLAB format and has undergone minimal preprocessing as well as reorganization and annotation of the dataset events. + +**Overview of the experiment:** +Eighteen participants completed two recording sessions spaced three months apart – one session recorded fMRI and the other simultaneously recorded MEG and EEG data. During each session, participants performed the same simple perceptual task, responding to presented photographs of famous, unfamiliar, and scrambled faces by pressing one of two keyboard keys to indicate a subjective yes or no decision as to the relative spatial symmetry of the viewed face. Famous faces were feature-matched to unfamiliar faces; half the faces were female. The two sessions (MEEG, fMRI) had different organizations of event timing and presentation because of technological requirements of the respective imaging modalities. Each individual face was presented twice during the session. For half of the presented faces, the second presentation followed immediately after the first. For the other half, the second presentation was delayed by 5-15 face presentations. + +**Preprocessing:** +The preprocessing, which was performed using the `wh_extracteeg_BIDS.m` located in the code directory, includes the following steps: +* Ignore MRI data except for sMRI. +* Extract EEG channels out of the MEG/EEG fif data +* Add fiducials +* Rename EOG and EKG channels +* Extract events from event channel +* Remove spurious events 5, 6, 7, 13, 14, 15, 17, 18 and 19 +* Remove spurious event 24 for subject 3 run 4 +* Rename events taking into account button assigned to each subject +* Correct event latencies (events have a shift of 34 ms) +* Resample data to 250 Hz (this step is performed because this dataset is used in a tutorial for EEGLAB and needs to be lightweight) +* Remove event fields `urevent` and `duration` +* Save as EEGLAB .set format + +**Data curators:** +Ramon Martinez, Dung Truong, Scott Makeig, Arnaud Delorme (UCSD, La Jolla, CA, USA), Kay Robbins (UTSA, San Antonio, TX, USA) + diff --git a/eeg_ds003654s_hed/dataset_description.json b/eeg_ds003654s_hed/dataset_description.json new file mode 100644 index 000000000..91b31167a --- /dev/null +++ b/eeg_ds003654s_hed/dataset_description.json @@ -0,0 +1,24 @@ +{ + "Name": "Face processing MEEG dataset with HED annotation", + "BIDSVersion": "1.8.4", + "HEDVersion": "8.0.0", + "License": "CC0", + "Authors": [ + "Daniel G. Wakeman", + "Richard N Henson", + "Dung Truong (curation)", + "Kay Robbins (curation)", + "Scott Makeig (curation)", + "Arno Delorme (curation)" + ], + "ReferencesAndLinks": [ + "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1", + "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.", + "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4." + ], + "Funding": [ + "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.", + "Curation was supported by: Army Research Laboratory W911NF-10-2-0022, NIH R01 EB023297-03, NIH R01 NS047293-l4, and NIH R24 MH120037-01." + ], + "DatasetDOI": "10.18112/openneuro.ds003645.v1.0.0" +} \ No newline at end of file diff --git a/eeg_hed_small/participants.json b/eeg_ds003654s_hed/participants.json similarity index 100% rename from eeg_hed_small/participants.json rename to eeg_ds003654s_hed/participants.json diff --git a/eeg_hed_small/participants.tsv b/eeg_ds003654s_hed/participants.tsv similarity index 100% rename from eeg_hed_small/participants.tsv rename to eeg_ds003654s_hed/participants.tsv diff --git a/eeg_hed_small/stimuli/circle.bmp b/eeg_ds003654s_hed/stimuli/circle.bmp similarity index 100% rename from eeg_hed_small/stimuli/circle.bmp rename to 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diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set rename to eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set diff --git a/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv new file mode 100644 index 000000000..5c94973c7 --- /dev/null +++ b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv @@ -0,0 +1,553 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +24.2098181818 n/a 6052.4545 show_face_initial unfamiliar_face first_show 1 n/a 13 u032.bmp +25.0352727273 n/a 6258.8182 show_circle n/a n/a 1 n/a 0 circle.bmp +25.158 n/a 6289.5 left_press n/a n/a 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eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.json diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set rename to eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set diff --git a/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv new file mode 100644 index 000000000..2e59f8cf6 --- /dev/null +++ b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv @@ -0,0 +1,517 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +25.696181818200003 n/a 6424.0455 show_face_initial scrambled_face first_show 1 n/a 17 s096.bmp +26.5616363636 n/a 6640.4091 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148 11 19 s020.bmp +494.488 n/a 123622.0 right_press n/a n/a 148 n/a 4096 n/a +494.6152727273 n/a 123653.8182 show_circle n/a n/a 148 n/a 0 circle.bmp +496.31527272730006 n/a 124078.8182 show_cross n/a n/a 149 n/a 1 cross.bmp diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-3_channels.tsv b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_channels.tsv similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-3_channels.tsv rename to eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_channels.tsv diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.json b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.json similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.json rename to eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.json diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set rename to eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set diff --git a/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv new file mode 100644 index 000000000..b95ec3e72 --- /dev/null +++ b/eeg_ds003654s_hed/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv @@ -0,0 +1,534 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +24.5989090909 n/a 6149.7273 show_face_initial unfamiliar_face first_show 1 n/a 13 u097.bmp +25.3198181818 n/a 6329.9545 right_press n/a n/a 1 n/a 4096 n/a +25.4325454545 n/a 6358.1364 show_circle n/a n/a 1 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n/a n/a 150 n/a 1 cross.bmp +498.87527272730006 n/a 124718.8182 show_face famous_face delayed_repeat 150 14 7 f027.bmp +499.7898181818 n/a 124947.4545 show_circle n/a n/a 150 n/a 0 circle.bmp +501.4898181818 n/a 125372.4545 show_cross n/a n/a 151 n/a 1 cross.bmp diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-1_channels.tsv b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_channels.tsv similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-1_channels.tsv rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_channels.tsv diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.json b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.json similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.json rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.json diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set diff --git a/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv new file mode 100644 index 000000000..e868a93f8 --- /dev/null +++ b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv @@ -0,0 +1,590 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +25.1161818182 n/a 6279.0455 show_face_initial famous_face first_show 1 n/a 5 f074.bmp +25.9789090909 n/a 6494.7273 show_circle n/a n/a 1 n/a 0 circle.bmp +26.0261818182 n/a 6506.5455 left_press n/a n/a 1 n/a 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similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-2_channels.tsv rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_channels.tsv diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.json b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.json similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.json rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.json diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.set b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.set similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.set rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.set diff --git a/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv new file mode 100644 index 000000000..beae0bd77 --- /dev/null +++ b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv @@ -0,0 +1,590 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +25.0143636364 n/a 6253.5909 show_face_initial famous_face first_show 1 n/a 5 f108.bmp +25.8598181818 n/a 6464.9545 right_press n/a n/a 1 n/a 4096 n/a +25.9516363636 n/a 6487.9091 show_circle n/a n/a 1 n/a 0 circle.bmp +27.6516363636 n/a 6912.9091 show_cross n/a n/a 2 n/a 1 cross.bmp +28.2552727273 n/a 7063.8182 show_face scrambled_face first_show 2 n/a 17 s141.bmp +28.9170909091 n/a 7229.2727 left_press n/a n/a 2 n/a 256 n/a +29.2725454545 n/a 7318.1364 show_circle n/a n/a 2 n/a 0 circle.bmp +30.9725454545 n/a 7743.1364 show_cross n/a n/a 3 n/a 1 cross.bmp +31.4452727273 n/a 7861.3182 show_face scrambled_face 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eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.json rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.json diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set rename to eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set diff --git a/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv new file mode 100644 index 000000000..b48439ffe --- /dev/null +++ b/eeg_ds003654s_hed/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv @@ -0,0 +1,584 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +27.5589090909 n/a 6889.7273 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n/a 121321.7727 show_cross n/a n/a 146 n/a 1 cross.bmp +485.7652727273 n/a 121441.3182 show_face scrambled_face first_show 146 n/a 17 s063.bmp +486.4825454545 n/a 121620.6364 right_press n/a n/a 146 n/a 4096 n/a +486.6489090909 n/a 121662.2273 show_circle n/a n/a 146 n/a 0 circle.bmp +488.3489090909 n/a 122087.2273 show_cross n/a n/a 147 n/a 1 cross.bmp +488.9389090909 n/a 122234.7273 show_face unfamiliar_face first_show 147 n/a 13 u101.bmp +489.6416363636 n/a 122410.4091 right_press n/a n/a 147 n/a 4096 n/a +489.9434545455 n/a 122485.8636 show_circle n/a n/a 147 n/a 0 circle.bmp +491.6434545455001 n/a 122910.8636 show_cross n/a n/a 148 n/a 1 cross.bmp diff --git a/eeg_ds003654s_hed/task-FacePerception_events.json b/eeg_ds003654s_hed/task-FacePerception_events.json new file mode 100644 index 000000000..fa018c473 --- /dev/null +++ b/eeg_ds003654s_hed/task-FacePerception_events.json @@ -0,0 +1,138 @@ +{ + "onset": { + "Description": "Position of event marker in seconds relative to the start.", + "Units": "s" + }, + "duration": { + "Description": "Duration of the event in seconds.", + "Units": "s" + }, + "event_type": { + "LongName": "Event category", + "Description": "The main category of the event.", + "Levels": { + "show_face": "Display a face to mark end of pre-stimulus and start of blink-inhibition.", + "show_face_initial": "Display a face at the beginning of the recording.", + "show_circle": "Display a white circle to mark end of the stimulus and blink inhibition.", + "show_cross": "Display only a white cross to mark start of trial and fixation.", + "left_press": "Experiment participant presses a key with left index finger.", + "right_press": "Experiment participant presses a key with right index finger.", + "setup_left_sym": "Setup for experiment with pressing key with left index finger means a face with above average symmetry.", + "setup_right_sym": "Setup for experiment with pressing key with right index finger means a face with above average symmetry.", + "double_press": "Experiment participant presses both keys ." + }, + "HED": { + "show_face": "Sensory-event, Experimental-stimulus, (Def/Face-image, Onset), (Def/Blink-inhibition-task,Onset),(Def/Cross-only, Offset)", + "show_face_initial": "Sensory-event, Experimental-stimulus, (Def/Face-image, Onset), (Def/Blink-inhibition-task,Onset), (Def/Fixation-task, Onset)", + "show_circle": "Sensory-event, (Intended-effect, Cue), (Def/Circle-only, Onset), (Def/Face-image, Offset), (Def/Blink-inhibition-task, Offset), (Def/Fixation-task, Offset)", + "show_cross": "Sensory-event, (Intended-effect, Cue), (Def/Cross-only, Onset), (Def/Fixation-task, Onset), (Def/Circle-only, Offset)", + "left_press": "Agent-action, Participant-response, Def/Press-left-finger", + "right_press": "Agent-action, Participant-response, Def/Press-right-finger", + "setup_left_sym": "Experiment-structure, (Def/Left-sym-cond, Onset), (Def/Initialize-recording, Onset)", + "setup_right_sym": "Experiment-structure, (Def/Right-sym-cond, Onset), (Def/Initialize-recording, Onset)", + "double_press": "Agent-action, Indeterminate-action, (Press, Keyboard-key)" + } + }, + "face_type": { + "Description": "Factor indicating type of face image being displayed.", + "Levels": { + "famous_face": "A face that should be recognized by the participants.", + "unfamiliar_face": "A face that should not be recognized by the participants.", + "scrambled_face": "A scrambled face image generated by taking face 2D FFT." + }, + "HED": { + "famous_face": "Def/Famous-face-cond", + "unfamiliar_face": "Def/Unfamiliar-face-cond", + "scrambled_face": "Def/Scrambled-face-cond" + } + }, + "rep_status": { + "Description": "Factor indicating whether this image has been already seen.", + "Levels": { + "first_show": "Factor level indicating the first display of this face.", + "immediate_repeat": "Factor level indicating this face was the same as previous one.", + "delayed_repeat": "Factor level indicating face was seen 5 to 15 trials ago." + }, + "HED": { + "first_show": "Def/First-show-cond", + "immediate_repeat": "Def/Immediate-repeat-cond", + "delayed_repeat": "Def/Delayed-repeat-cond" + } + }, + "trial": { + "Description": "Indicates which trial this event belongs to.", + "HED": "Experimental-trial/#" + }, + "rep_lag": { + "Description": "How face images before this one was the image was previously presented.", + "HED": "(Face, Item-interval/#)" + }, + "stim_file": { + "Description": "Path of the stimulus file in the stimuli directory.", + "HED": "(Image, Pathname/#)" + }, + "hed_def_sensory": { + "Description": "Metadata dictionary for gathering sensory definitions", + "HED": { + "cross_only_def": "(Definition/Cross-only, (Visual-presentation, (Foreground-view, (White, Cross), (Center-of, Computer-screen)), (Background-view, Black), Description/A white fixation cross on a black background in the center of the screen.))", + "face_image_def": "(Definition/Face-image, (Visual-presentation, (Foreground-view, ((Image, Face, Hair), Color/Grayscale), ((White, Cross), (Center-of, Computer-screen))), (Background-view, Black), Description/A happy or neutral face in frontal or three-quarters frontal pose with long hair cropped presented as an achromatic foreground image on a black background with a white fixation cross superposed.))", + "circle_only_def": "(Definition/Circle-only, (Visual-presentation, (Foreground-view, ((White, Circle), (Center-of, Computer-screen))), (Background-view, Black), Description/A white circle on a black background in the center of the screen.))" + } + }, + "hed_def_actions": { + "Description": "Metadata dictionary for gathering participant action definitions", + "HED": { + "press_left_finger_def": "(Definition/Press-left-finger, ((Index-finger, (Left-side-of, Experiment-participant)), (Press, Keyboard-key), Description/The participant presses a key with the left index finger to indicate a face symmetry judgment.))", + "press_right_finger_def": "(Definition/Press-right-finger, ((Index-finger, (Right-side-of, Experiment-participant)), (Press, Keyboard-key), Description/The participant presses a key with the right index finger to indicate a face symmetry evaluation.))" + } + }, + "hed_def_conds": { + "Description": "Metadata dictionary for gathering experimental condition definitions", + "HED": { + "famous_face_cond_def": "(Definition/Famous-face-cond, (Condition-variable/Face-type, (Image, (Face, Famous)), Description/A face that should be recognized by the participants))", + "unfamiliar_face_cond_def": "(Definition/Unfamiliar-face-cond, (Condition-variable/Face-type, (Image, (Face, Unfamiliar)), Description/A face that should not be recognized by the participants.))", + "scrambled_face_cond_def": "(Definition/Scrambled-face-cond, (Condition-variable/Face-type, (Image, (Face, Disordered)), Description/A scrambled face image generated by taking face 2D FFT.))", + "first_show_cond_def": "(Definition/First-show-cond, ((Condition-variable/Repetition-type, (Item-count/1, Face), Item-interval/0), Description/Factor level indicating the first display of this face.))", + "immediate_repeat_cond_def": "(Definition/Immediate-repeat-cond, ((Condition-variable/Repetition-type, (Item-count/2, Face), Item-interval/1), Description/Factor level indicating this face was the same as previous one.))", + "delayed_repeat_cond_def": "(Definition/Delayed-repeat-cond, (Condition-variable/Repetition-type, (Item-count/2, Face), (Item-interval, (Greater-than-or-equal-to, Item-interval/5)), Description/Factor level indicating face was seen 5 to 15 trials ago.))", + "left_sym_cond_def": "(Definition/Left-sym-cond, (Condition-variable/Key-assignment, ((Index-finger, (Left-side-of, Experiment-participant)), (Behavioral-evidence, Symmetrical)), ((Index-finger, (Right-side-of, Experiment-participant)), (Behavioral-evidence, Asymmetrical)), Description/Left index finger key press indicates a face with above average symmetry.))", + "right_sym_cond_def": "(Definition/Right-sym-cond, (Condition-variable/Key-assignment, ((Index-finger, (Right-side-of, Experiment-participant)), (Behavioral-evidence, Symmetrical)), ((Index-finger, (Left-side-of, Experiment-participant)), (Behavioral-evidence, Asymmetrical)), Description/Right index finger key press indicates a face with above average symmetry.))" + } + }, + "hed_def_tasks": { + "Description": "Metadata dictionary for gathering task definitions", + "HED": { + "face_symmetry_evaluation_task_def": "(Definition/Face-symmetry-evaluation-task, (Task, Experiment-participant, (See, Face), (Discriminate, (Face, Symmetrical)), (Press, Keyboard-key), Description/Evaluate degree of image symmetry and respond with key press evaluation.))", + "blink_inhibition_task_def": "(Definition/Blink-inhibition-task, (Task, Experiment-participant, Inhibit-blinks, Description/Do not blink while the face image is displayed.))", + "fixation_task_def": "(Definition/Fixation-task, (Task, Experiment-participant, (Fixate, Cross), Description/Fixate on the cross at the screen center.))" + } + }, + "hed_def_setup": { + "Description": "Metadata dictionary for gathering setup definitions", + "HED": { + "setup_def": "(Definition/Initialize-recording, (Recording))" + } + + }, + "value": { + "Description": "Numerical event marker", + "Levels": { + "x0": "Disappearance of face image and display of the inter-stimulus circle simultaneously", + "x1": "Disappearance of face image and display of the inter-stimulus circle simultaneously", + "x2": "Initial setup with left finger key press indicating above average symmetry", + "x3": "Initial setup with right finger key press indicating above average symmetry", + "x5": "Initial presentation of famous face", + "x6": "Immediate repeated presentation of famous face", + "x7": "Delayed repeated presentation of famous face", + "x13": "Initial presentation of unfamiliar face", + "x14": "Immediate repeated presentation of unfamiliar face", + "x15": "Delayed repeated presentation of unfamiliar face", + "x17": "Initial presentation of scrambled face", + "x18": "Immediate repeated presentation of scrambled face", + "x19": "Delayed repeated presentation of scrambled face", + "x256": "Left finger key press", + "x4096": "Right finger key press", + "x4352": "Left and right finger key presses" + } + } +} diff --git a/eeg_ds003654s_hed_inheritance/CHANGES b/eeg_ds003654s_hed_inheritance/CHANGES new file mode 100644 index 000000000..c5166eebf --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/CHANGES @@ -0,0 +1,6 @@ +1.0.0 2021-05-11 + - First release +Revision history for Face Recognition experiment by Wakeman-Henson + +version 1.0 - April 2021 + - Initial release of EEG data in this experiment for HED education purposes diff --git a/eeg_ds003654s_hed_inheritance/README b/eeg_ds003654s_hed_inheritance/README new file mode 100644 index 000000000..4b1d4f00c --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/README @@ -0,0 +1,24 @@ +**Introduction:** +This dataset consists of the MEEG (sMRI+MEG+EEG) portion of the multi-subject, multi-modal face processing dataset (ds000117). This dataset was originally acquired and shared by Daniel Wakeman and Richard Henson (https://pubmed.ncbi.nlm.nih.gov/25977808/). The data has been repackaged in EEGLAB format and has undergone minimal preprocessing as well as reorganization and annotation of the dataset events. + +**Overview of the experiment:** +Eighteen participants completed two recording sessions spaced three months apart – one session recorded fMRI and the other simultaneously recorded MEG and EEG data. During each session, participants performed the same simple perceptual task, responding to presented photographs of famous, unfamiliar, and scrambled faces by pressing one of two keyboard keys to indicate a subjective yes or no decision as to the relative spatial symmetry of the viewed face. Famous faces were feature-matched to unfamiliar faces; half the faces were female. The two sessions (MEEG, fMRI) had different organizations of event timing and presentation because of technological requirements of the respective imaging modalities. Each individual face was presented twice during the session. For half of the presented faces, the second presentation followed immediately after the first. For the other half, the second presentation was delayed by 5-15 face presentations. + +**Preprocessing:** +The preprocessing, which was performed using the `wh_extracteeg_BIDS.m` located in the code directory, includes the following steps: +* Ignore MRI data except for sMRI. +* Extract EEG channels out of the MEG/EEG fif data +* Add fiducials +* Rename EOG and EKG channels +* Extract events from event channel +* Remove spurious events 5, 6, 7, 13, 14, 15, 17, 18 and 19 +* Remove spurious event 24 for subject 3 run 4 +* Rename events taking into account button assigned to each subject +* Correct event latencies (events have a shift of 34 ms) +* Resample data to 250 Hz (this step is performed because this dataset is used in a tutorial for EEGLAB and needs to be lightweight) +* Remove event fields `urevent` and `duration` +* Save as EEGLAB .set format + +**Data curators:** +Ramon Martinez, Dung Truong, Scott Makeig, Arnaud Delorme (UCSD, La Jolla, CA, USA), Kay Robbins (UTSA, San Antonio, TX, USA) + diff --git a/eeg_ds003654s_hed_inheritance/dataset_description.json b/eeg_ds003654s_hed_inheritance/dataset_description.json new file mode 100644 index 000000000..91b31167a --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/dataset_description.json @@ -0,0 +1,24 @@ +{ + "Name": "Face processing MEEG dataset with HED annotation", + "BIDSVersion": "1.8.4", + "HEDVersion": "8.0.0", + "License": "CC0", + "Authors": [ + "Daniel G. Wakeman", + "Richard N Henson", + "Dung Truong (curation)", + "Kay Robbins (curation)", + "Scott Makeig (curation)", + "Arno Delorme (curation)" + ], + "ReferencesAndLinks": [ + "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1", + "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.", + "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4." + ], + "Funding": [ + "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.", + "Curation was supported by: Army Research Laboratory W911NF-10-2-0022, NIH R01 EB023297-03, NIH R01 NS047293-l4, and NIH R24 MH120037-01." + ], + "DatasetDOI": "10.18112/openneuro.ds003645.v1.0.0" +} \ No newline at end of file diff --git a/eeg_ds003654s_hed_inheritance/participants.json b/eeg_ds003654s_hed_inheritance/participants.json new file mode 100644 index 000000000..4fbcc432d --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/participants.json @@ -0,0 +1,17 @@ +{ + "participant_id": { + "LongName": "Participant identifier", + "Description": "Unique subject identifier" + }, + "gender": { + "Description": "Sex of the subject", + "Levels": { + "M": "male", + "F": "female" + } + }, + "age": { + "Description": "Age of the subject", + "Units": "years" + } +} \ No newline at end of file diff --git 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b/eeg_ds003654s_hed_inheritance/stimuli/u148.bmp differ diff --git a/eeg_ds003654s_hed_inheritance/stimuli/u149.bmp b/eeg_ds003654s_hed_inheritance/stimuli/u149.bmp new file mode 100644 index 000000000..402551f0d Binary files /dev/null and b/eeg_ds003654s_hed_inheritance/stimuli/u149.bmp differ diff --git a/eeg_ds003654s_hed_inheritance/stimuli/u150.bmp b/eeg_ds003654s_hed_inheritance/stimuli/u150.bmp new file mode 100644 index 000000000..171b8ab57 Binary files /dev/null and b/eeg_ds003654s_hed_inheritance/stimuli/u150.bmp differ diff --git a/eeg_hed_small/stimuli/cross.bmp b/eeg_ds003654s_hed_inheritance/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set similarity index 100% rename from eeg_hed_small/stimuli/cross.bmp rename to eeg_ds003654s_hed_inheritance/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_eeg.set b/eeg_ds003654s_hed_inheritance/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_eeg.set rename to eeg_ds003654s_hed_inheritance/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-5_eeg.set b/eeg_ds003654s_hed_inheritance/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-5_eeg.set rename to eeg_ds003654s_hed_inheritance/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_channels.tsv b/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_channels.tsv similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_channels.tsv rename to eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_channels.tsv diff --git a/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_eeg.json b/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_eeg.json new file mode 100644 index 000000000..f57fa2c67 --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_eeg.json @@ -0,0 +1,24 @@ +{ + "TaskName": "FacePerception", + "TaskDescription": "Subjects viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", + "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", + "InstitutionName": "MRC Cognition & Brain Sciences Unit", + "EEGReference": "nose", + "EEGGround": "left collar bone", + "SamplingFrequency": 250, + "PowerLineFrequency": 50, + "SoftwareFilters": { + "LowPassFilter": { + "cutoff": "350 (Hz)" + } + }, + "EEGPlacementScheme": "extended 10-10% system", + "CapManufacturer": "Easycap", + "EEGChannelCount": 70, + "EOGChannelCount": 2, + "RecordingType": "continuous", + "MiscChannelCount": 309, + "RecordingDuration": 491, + "ECGChannelCount": 0, + "EMGChannelCount": 0 +} \ No newline at end of file diff --git a/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_events.json b/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_events.json new file mode 100644 index 000000000..78cf05855 --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_events.json @@ -0,0 +1,19 @@ +{ + "rep_status": { + "Description": "Factor indicating whether this image has been already seen.", + "Levels": { + "first_show": "Factor level indicating the first display of this face.", + "immediate_repeat": "Factor level indicating this face was the same as previous one.", + "delayed_repeat": "Factor level indicating face was seen 5 to 15 trials ago." + }, + "HED": { + "first_show": "Def/First-show-cond", + "immediate_repeat": "Def/Immediate-repeat-cond", + "delayed_repeat": "Def/Delayed-repeat-cond" + } + }, + "rep_lag": { + "Description": "How face images before this one was the image was previously presented.", + "HED": "(Face, Item-interval/#)" + } +} diff --git a/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_run-1_events.tsv b/eeg_ds003654s_hed_inheritance/sub-002/sub-002_task-FacePerception_run-1_events.tsv new file mode 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immediate_repeat 144 1 14 u136.bmp +480.8925454545 n/a 120223.1364 show_circle n/a n/a 144 n/a 0 circle.bmp +482.5925454545 n/a 120648.1364 show_cross n/a n/a 145 n/a 1 cross.bmp +483.0552727273 n/a 120763.8182 show_face famous_face delayed_repeat 145 13 7 f110.bmp +483.9461818182 n/a 120986.5455 show_circle n/a n/a 145 n/a 0 circle.bmp +485.6461818182 n/a 121411.5455 show_cross n/a n/a 146 n/a 1 cross.bmp +486.1461818182 n/a 121536.5455 show_face scrambled_face first_show 146 n/a 17 s011.bmp +487.1007272727 n/a 121775.1818 show_circle n/a n/a 146 n/a 0 circle.bmp +488.8007272727 n/a 122200.1818 show_cross n/a n/a 147 n/a 1 cross.bmp +489.4370909091001 n/a 122359.2727 show_face scrambled_face immediate_repeat 147 1 18 s011.bmp +490.4498181818 n/a 122612.4545 show_circle n/a n/a 147 n/a 0 circle.bmp +492.1498181818 n/a 123037.4545 show_cross n/a n/a 148 n/a 1 cross.bmp +492.7943636364 n/a 123198.5909 show_face unfamiliar_face first_show 148 n/a 13 u145.bmp +493.5007272727 n/a 123375.1818 right_press n/a n/a 148 n/a 4096 n/a +493.6225454545 n/a 123405.6364 show_circle n/a n/a 148 n/a 0 circle.bmp +495.3225454545 n/a 123830.6364 show_cross n/a n/a 149 n/a 1 cross.bmp +495.818 n/a 123954.5 show_face unfamiliar_face immediate_repeat 149 1 14 u145.bmp +496.4516363636 n/a 124112.9091 right_press n/a n/a 149 n/a 4096 n/a +496.6634545455 n/a 124165.8636 show_circle n/a n/a 149 n/a 0 circle.bmp +498.3634545455 n/a 124590.8636 show_cross n/a n/a 150 n/a 1 cross.bmp +498.87527272730006 n/a 124718.8182 show_face famous_face delayed_repeat 150 14 7 f027.bmp +499.7898181818 n/a 124947.4545 show_circle n/a n/a 150 n/a 0 circle.bmp +501.4898181818 n/a 125372.4545 show_cross n/a n/a 151 n/a 1 cross.bmp diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-5_channels.tsv b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_channels.tsv similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-5_channels.tsv rename to eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_channels.tsv diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-5_eeg.json b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_eeg.json similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-5_eeg.json rename to eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_eeg.json diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-6_eeg.set b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-6_eeg.set rename to eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set diff --git a/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv new file mode 100644 index 000000000..e868a93f8 --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv @@ -0,0 +1,590 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +25.1161818182 n/a 6279.0455 show_face_initial famous_face first_show 1 n/a 5 f074.bmp +25.9789090909 n/a 6494.7273 show_circle n/a n/a 1 n/a 0 circle.bmp +26.0261818182 n/a 6506.5455 left_press n/a n/a 1 n/a 256 n/a +27.678909090900003 n/a 6919.7273 show_cross n/a n/a 2 n/a 1 cross.bmp +28.1734545455 n/a 7043.3636 show_face unfamiliar_face first_show 2 n/a 13 u011.bmp +29.0598181818 n/a 7264.9545 show_circle n/a n/a 2 n/a 0 circle.bmp +29.1116363636 n/a 7277.9091 left_press n/a n/a 2 n/a 256 n/a +30.7598181818 n/a 7689.9545 show_cross n/a n/a 3 n/a 1 cross.bmp +31.3307272727 n/a 7832.6818 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n/a 122398.8182 left_press n/a n/a 148 n/a 256 n/a +490.0361818182 n/a 122509.0455 show_circle n/a n/a 148 n/a 0 circle.bmp +491.7361818182 n/a 122934.0455 show_cross n/a n/a 149 n/a 1 cross.bmp diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-5_eeg.set b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-5_eeg.set rename to eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set diff --git a/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv new file mode 100644 index 000000000..b48439ffe --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv @@ -0,0 +1,584 @@ +onset duration sample event_type face_type rep_status trial rep_lag value 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right_press n/a n/a 145 n/a 4096 n/a +483.5870909091 n/a 120896.7727 show_circle n/a n/a 145 n/a 0 circle.bmp +485.2870909091 n/a 121321.7727 show_cross n/a n/a 146 n/a 1 cross.bmp +485.7652727273 n/a 121441.3182 show_face scrambled_face first_show 146 n/a 17 s063.bmp +486.4825454545 n/a 121620.6364 right_press n/a n/a 146 n/a 4096 n/a +486.6489090909 n/a 121662.2273 show_circle n/a n/a 146 n/a 0 circle.bmp +488.3489090909 n/a 122087.2273 show_cross n/a n/a 147 n/a 1 cross.bmp +488.9389090909 n/a 122234.7273 show_face unfamiliar_face first_show 147 n/a 13 u101.bmp +489.6416363636 n/a 122410.4091 right_press n/a n/a 147 n/a 4096 n/a +489.9434545455 n/a 122485.8636 show_circle n/a n/a 147 n/a 0 circle.bmp +491.6434545455001 n/a 122910.8636 show_cross n/a n/a 148 n/a 1 cross.bmp diff --git a/eeg_ds003654s_hed_inheritance/sub-003/sub-003_task-FacePerception_events.json b/eeg_ds003654s_hed_inheritance/sub-003/sub-003_task-FacePerception_events.json new file mode 100644 index 000000000..78cf05855 --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/sub-003/sub-003_task-FacePerception_events.json @@ -0,0 +1,19 @@ +{ + "rep_status": { + "Description": "Factor indicating whether this image has been already seen.", + "Levels": { + "first_show": "Factor level indicating the first display of this face.", + "immediate_repeat": "Factor level indicating this face was the same as previous one.", + "delayed_repeat": "Factor level indicating face was seen 5 to 15 trials ago." + }, + "HED": { + "first_show": "Def/First-show-cond", + "immediate_repeat": "Def/Immediate-repeat-cond", + "delayed_repeat": "Def/Delayed-repeat-cond" + } + }, + "rep_lag": { + "Description": "How face images before this one was the image was previously presented.", + "HED": "(Face, Item-interval/#)" + } +} diff --git a/eeg_ds003654s_hed_inheritance/task-FacePerception_events.json b/eeg_ds003654s_hed_inheritance/task-FacePerception_events.json new file mode 100644 index 000000000..b98b57b9c --- /dev/null +++ b/eeg_ds003654s_hed_inheritance/task-FacePerception_events.json @@ -0,0 +1,117 @@ +{ + "onset": { + "Description": "Duration of the event in seconds.", + "Units": "s" + }, + "event_type": { + "LongName": "Event category", + "Description": "The main category of the event.", + "Levels": { + "show_face": "Display a face to mark end of pre-stimulus and start of blink-inhibition.", + "show_face_initial": "Display a face at the beginning of the recording.", + "show_circle": "Display a white circle to mark end of the stimulus and blink inhibition.", + "show_cross": "Display only a white cross to mark start of trial and fixation.", + "left_press": "Experiment participant presses a key with left index finger.", + "right_press": "Experiment participant presses a key with right index finger.", + "setup_left_sym": "Setup for experiment with pressing key with left index finger means a face with above average symmetry.", + "setup_right_sym": "Setup for experiment with pressing key with right index finger means a face with above average symmetry.", + "double_press": "Experiment participant presses both keys ." + }, + "HED": { + "show_face": "Sensory-event, Experimental-stimulus, (Def/Face-image, Onset), (Def/Blink-inhibition-task,Onset),(Def/Cross-only, Offset)", + "show_face_initial": "Sensory-event, Experimental-stimulus, (Def/Face-image, Onset), (Def/Blink-inhibition-task,Onset), (Def/Fixation-task, Onset)", + "show_circle": "Sensory-event, (Intended-effect, Cue), (Def/Circle-only, Onset), (Def/Face-image, Offset), (Def/Blink-inhibition-task, Offset), (Def/Fixation-task, Offset)", + "show_cross": "Sensory-event, (Intended-effect, Cue), (Def/Cross-only, Onset), (Def/Fixation-task, Onset), (Def/Circle-only, Offset)", + "left_press": "Agent-action, Participant-response, Def/Press-left-finger", + "right_press": "Agent-action, Participant-response, Def/Press-right-finger", + "setup_left_sym": "Experiment-structure, (Def/Left-sym-cond, Onset), (Def/Initialize-recording, Onset)", + "setup_right_sym": "Experiment-structure, (Def/Right-sym-cond, Onset), (Def/Initialize-recording, Onset)", + "double_press": "Agent-action, Indeterminate-action, (Press, Keyboard-key)" + } + }, + "face_type": { + "Description": "Factor indicating type of face image being displayed.", + "Levels": { + "famous_face": "A face that should be recognized by the participants.", + "unfamiliar_face": "A face that should not be recognized by the participants.", + "scrambled_face": "A scrambled face image generated by taking face 2D FFT." + }, + "HED": { + "famous_face": "Def/Famous-face-cond", + "unfamiliar_face": "Def/Unfamiliar-face-cond", + "scrambled_face": "Def/Scrambled-face-cond" + } + }, + "trial": { + "Description": "Indicates which trial this event belongs to.", + "HED": "Experimental-trial/#" + }, + "stim_file": { + "Description": "Path of the stimulus file in the stimuli directory.", + "HED": "(Image, Pathname/#)" + }, + "hed_def_sensory": { + "Description": "Metadata dictionary for gathering sensory definitions", + "HED": { + "cross_only_def": "(Definition/Cross-only, (Visual-presentation, (Foreground-view, (White, Cross), (Center-of, Computer-screen)), (Background-view, Black), Description/A white fixation cross on a black background in the center of the screen.))", + "face_image_def": "(Definition/Face-image, (Visual-presentation, (Foreground-view, ((Image, Face, Hair), Color/Grayscale), ((White, Cross), (Center-of, Computer-screen))), (Background-view, Black), Description/A happy or neutral face in frontal or three-quarters frontal pose with long hair cropped presented as an achromatic foreground image on a black background with a white fixation cross superposed.))", + "circle_only_def": "(Definition/Circle-only, (Visual-presentation, (Foreground-view, ((White, Circle), (Center-of, Computer-screen))), (Background-view, Black), Description/A white circle on a black background in the center of the screen.))" + } + }, + "hed_def_actions": { + "Description": "Metadata dictionary for gathering participant action definitions", + "HED": { + "press_left_finger_def": "(Definition/Press-left-finger, ((Index-finger, (Left-side-of, Experiment-participant)), (Press, Keyboard-key), Description/The participant presses a key with the left index finger to indicate a face symmetry judgment.))", + "press_right_finger_def": "(Definition/Press-right-finger, ((Index-finger, (Right-side-of, Experiment-participant)), (Press, Keyboard-key), Description/The participant presses a key with the right index finger to indicate a face symmetry evaluation.))" + } + }, + "hed_def_conds": { + "Description": "Metadata dictionary for gathering experimental condition definitions", + "HED": { + "famous_face_cond_def": "(Definition/Famous-face-cond, (Condition-variable/Face-type, (Image, (Face, Famous)), Description/A face that should be recognized by the participants))", + "unfamiliar_face_cond_def": "(Definition/Unfamiliar-face-cond, (Condition-variable/Face-type, (Image, (Face, Unfamiliar)), Description/A face that should not be recognized by the participants.))", + "scrambled_face_cond_def": "(Definition/Scrambled-face-cond, (Condition-variable/Face-type, (Image, (Face, Disordered)), Description/A scrambled face image generated by taking face 2D FFT.))", + "first_show_cond_def": "(Definition/First-show-cond, ((Condition-variable/Repetition-type, (Item-count/1, Face), Item-interval/0), Description/Factor level indicating the first display of this face.))", + "immediate_repeat_cond_def": "(Definition/Immediate-repeat-cond, ((Condition-variable/Repetition-type, (Item-count/2, Face), Item-interval/1), Description/Factor level indicating this face was the same as previous one.))", + "delayed_repeat_cond_def": "(Definition/Delayed-repeat-cond, (Condition-variable/Repetition-type, (Item-count/2, Face), (Item-interval, (Greater-than-or-equal-to, Item-interval/5)), Description/Factor level indicating face was seen 5 to 15 trials ago.))", + "left_sym_cond_def": "(Definition/Left-sym-cond, (Condition-variable/Key-assignment, ((Index-finger, (Left-side-of, Experiment-participant)), (Behavioral-evidence, Symmetrical)), ((Index-finger, (Right-side-of, Experiment-participant)), (Behavioral-evidence, Asymmetrical)), Description/Pressing a key with the left index finger indicates a face with above average symmetry.))", + "right_sym_cond_def": "(Definition/Right-sym-cond, (Condition-variable/Key-assignment, ((Index-finger, (Right-side-of, Experiment-participant)), (Behavioral-evidence, Symmetrical)), ((Index-finger, (Left-side-of, Experiment-participant)), (Behavioral-evidence, Asymmetrical)), Description/Right finger key press means above average symmetry.))" + } + }, + "hed_def_tasks": { + "Description": "Metadata dictionary for gathering task definitions", + "HED": { + "face_symmetry_evaluation_task_def": "(Definition/Face-symmetry-evaluation-task, (Task, Experiment-participant, (See, Face), (Discriminate, (Face, Symmetrical)), (Press, Keyboard-key), Description/Evaluate degree of image symmetry and respond with key press evaluation.))", + "blink_inhibition_task_def": "(Definition/Blink-inhibition-task, (Task, Experiment-participant, Inhibit-blinks, Description/Do not blink while the face image is displayed.))", + "fixation_task_def": "(Definition/Fixation-task, (Task, Experiment-participant, (Fixate, Cross), Description/Fixate on the cross at the screen center.))" + } + }, + "hed_def_setup": { + "Description": "Metadata dictionary for gathering setup definitions", + "HED": { + "setup_def": "(Definition/Initialize-recording, (Recording))" + } + + }, + "value": { + "Description": "Numerical event marker", + "Levels": { + "x0": "Disappearance of face image and display of the inter-stimulus circle simultaneously", + "x1": "Disappearance of face image and display of the inter-stimulus circle simultaneously", + "x2": "Initial setup with left finger key press indicating above average symmetry", + "x3": "Initial setup with right finger key press indicating above average symmetry", + "x5": "Initial presentation of famous face", + "x6": "Immediate repeated presentation of famous face", + "x7": "Delayed repeated presentation of famous face", + "x13": "Initial presentation of unfamiliar face", + "x14": "Immediate repeated presentation of unfamiliar face", + "x15": "Delayed repeated presentation of unfamiliar face", + "x17": "Initial presentation of scrambled face", + "x18": "Immediate repeated presentation of scrambled face", + "x19": "Delayed repeated presentation of scrambled face", + "x256": "Left finger key press", + "x4096": "Right finger key press", + "x4352": "Left and right finger key presses" + } + } +} diff --git a/eeg_ds003654s_hed_longform/CHANGES b/eeg_ds003654s_hed_longform/CHANGES new file mode 100644 index 000000000..c5166eebf --- /dev/null +++ b/eeg_ds003654s_hed_longform/CHANGES @@ -0,0 +1,6 @@ +1.0.0 2021-05-11 + - First release +Revision history for Face Recognition experiment by Wakeman-Henson + +version 1.0 - April 2021 + - Initial release of EEG data in this experiment for HED education purposes diff --git a/eeg_ds003654s_hed_longform/README b/eeg_ds003654s_hed_longform/README new file mode 100644 index 000000000..4b1d4f00c --- /dev/null +++ b/eeg_ds003654s_hed_longform/README @@ -0,0 +1,24 @@ +**Introduction:** +This dataset consists of the MEEG (sMRI+MEG+EEG) portion of the multi-subject, multi-modal face processing dataset (ds000117). This dataset was originally acquired and shared by Daniel Wakeman and Richard Henson (https://pubmed.ncbi.nlm.nih.gov/25977808/). The data has been repackaged in EEGLAB format and has undergone minimal preprocessing as well as reorganization and annotation of the dataset events. + +**Overview of the experiment:** +Eighteen participants completed two recording sessions spaced three months apart – one session recorded fMRI and the other simultaneously recorded MEG and EEG data. During each session, participants performed the same simple perceptual task, responding to presented photographs of famous, unfamiliar, and scrambled faces by pressing one of two keyboard keys to indicate a subjective yes or no decision as to the relative spatial symmetry of the viewed face. Famous faces were feature-matched to unfamiliar faces; half the faces were female. The two sessions (MEEG, fMRI) had different organizations of event timing and presentation because of technological requirements of the respective imaging modalities. Each individual face was presented twice during the session. For half of the presented faces, the second presentation followed immediately after the first. For the other half, the second presentation was delayed by 5-15 face presentations. + +**Preprocessing:** +The preprocessing, which was performed using the `wh_extracteeg_BIDS.m` located in the code directory, includes the following steps: +* Ignore MRI data except for sMRI. +* Extract EEG channels out of the MEG/EEG fif data +* Add fiducials +* Rename EOG and EKG channels +* Extract events from event channel +* Remove spurious events 5, 6, 7, 13, 14, 15, 17, 18 and 19 +* Remove spurious event 24 for subject 3 run 4 +* Rename events taking into account button assigned to each subject +* Correct event latencies (events have a shift of 34 ms) +* Resample data to 250 Hz (this step is performed because this dataset is used in a tutorial for EEGLAB and needs to be lightweight) +* Remove event fields `urevent` and `duration` +* Save as EEGLAB .set format + +**Data curators:** +Ramon Martinez, Dung Truong, Scott Makeig, Arnaud Delorme (UCSD, La Jolla, CA, USA), Kay Robbins (UTSA, San Antonio, TX, USA) + diff --git a/eeg_ds003654s_hed_longform/dataset_description.json b/eeg_ds003654s_hed_longform/dataset_description.json new file mode 100644 index 000000000..91b31167a --- /dev/null +++ b/eeg_ds003654s_hed_longform/dataset_description.json @@ -0,0 +1,24 @@ +{ + "Name": "Face processing MEEG dataset with HED annotation", + "BIDSVersion": "1.8.4", + "HEDVersion": "8.0.0", + "License": "CC0", + "Authors": [ + "Daniel G. Wakeman", + "Richard N Henson", + "Dung Truong (curation)", + "Kay Robbins (curation)", + "Scott Makeig (curation)", + "Arno Delorme (curation)" + ], + "ReferencesAndLinks": [ + "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1", + "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.", + "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4." + ], + "Funding": [ + "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.", + "Curation was supported by: Army Research Laboratory W911NF-10-2-0022, NIH R01 EB023297-03, NIH R01 NS047293-l4, and NIH R24 MH120037-01." + ], + "DatasetDOI": "10.18112/openneuro.ds003645.v1.0.0" +} \ No newline at end of file diff --git a/eeg_ds003654s_hed_longform/participants.json b/eeg_ds003654s_hed_longform/participants.json new file mode 100644 index 000000000..4fbcc432d --- /dev/null +++ b/eeg_ds003654s_hed_longform/participants.json @@ -0,0 +1,17 @@ +{ + "participant_id": { + "LongName": "Participant identifier", + "Description": "Unique subject identifier" + }, + "gender": { + "Description": "Sex of the subject", + "Levels": { + "M": "male", + "F": "female" + } + }, + "age": { + "Description": "Age of the subject", + "Units": "years" + } +} \ No newline at end of file diff --git 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b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.json new file mode 100644 index 000000000..f57fa2c67 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.json @@ -0,0 +1,24 @@ +{ + "TaskName": "FacePerception", + "TaskDescription": "Subjects viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", + "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", + "InstitutionName": "MRC Cognition & Brain Sciences Unit", + "EEGReference": "nose", + "EEGGround": "left collar bone", + "SamplingFrequency": 250, + "PowerLineFrequency": 50, + "SoftwareFilters": { + "LowPassFilter": { + "cutoff": "350 (Hz)" + } + }, + "EEGPlacementScheme": "extended 10-10% system", + "CapManufacturer": "Easycap", + "EEGChannelCount": 70, + "EOGChannelCount": 2, + "RecordingType": "continuous", + "MiscChannelCount": 309, + "RecordingDuration": 491, + "ECGChannelCount": 0, + "EMGChannelCount": 0 +} \ No newline at end of file diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_eeg.set b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_eeg.set rename to eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-1_eeg.set diff --git a/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv new file mode 100644 index 000000000..5c94973c7 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv @@ -0,0 +1,553 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +24.2098181818 n/a 6052.4545 show_face_initial unfamiliar_face first_show 1 n/a 13 u032.bmp +25.0352727273 n/a 6258.8182 show_circle n/a n/a 1 n/a 0 circle.bmp +25.158 n/a 6289.5 left_press n/a n/a 1 n/a 256 n/a +26.7352727273 n/a 6683.8182 show_cross n/a n/a 2 n/a 1 cross.bmp +27.2498181818 n/a 6812.4545 show_face unfamiliar_face immediate_repeat 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famous_face delayed_repeat 146 8 7 f137.bmp +483.8407272727 n/a 120960.1818 show_circle n/a n/a 146 n/a 0 circle.bmp +485.5407272727 n/a 121385.1818 show_cross n/a n/a 147 n/a 1 cross.bmp diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-4_channels.tsv b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_channels.tsv similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-4_channels.tsv rename to eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_channels.tsv diff --git a/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.json b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.json new file mode 100644 index 000000000..31deb23d3 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.json @@ -0,0 +1,24 @@ +{ + "TaskName": "FacePerception", + "TaskDescription": "Subjects viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", + "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", + "InstitutionName": "MRC Cognition & Brain Sciences Unit", + "EEGReference": "nose", + "EEGGround": "left collar bone", + "SamplingFrequency": 250, + "PowerLineFrequency": 50, + "SoftwareFilters": { + "LowPassFilter": { + "cutoff": "350 (Hz)" + } + }, + "EEGPlacementScheme": "extended 10-10% system", + "CapManufacturer": "Easycap", + "EEGChannelCount": 70, + "EOGChannelCount": 2, + "RecordingType": "continuous", + "MiscChannelCount": 309, + "RecordingDuration": 497, + "ECGChannelCount": 0, + "EMGChannelCount": 0 +} \ No newline at end of file diff --git a/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_eeg.set new file mode 100644 index 000000000..e69de29bb diff --git a/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv new file mode 100644 index 000000000..2e59f8cf6 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv @@ -0,0 +1,517 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +25.696181818200003 n/a 6424.0455 show_face_initial scrambled_face first_show 1 n/a 17 s096.bmp +26.5616363636 n/a 6640.4091 show_circle n/a n/a 1 n/a 0 circle.bmp +28.2616363636 n/a 7065.4091 show_cross n/a n/a 2 n/a 1 cross.bmp +28.8870909091 n/a 7221.7727 show_face famous_face first_show 2 n/a 5 f148.bmp +29.771636363600003 n/a 7442.9091 right_press n/a n/a 2 n/a 4096 n/a +29.9052727273 n/a 7476.3182 show_circle n/a n/a 2 n/a 0 circle.bmp +31.6052727273 n/a 7901.3182 show_cross 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similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-5_channels.tsv rename to eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-3_channels.tsv diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-5_eeg.json b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.json similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-5_eeg.json rename to eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.json diff --git a/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-3_eeg.set new file mode 100644 index 000000000..e69de29bb diff --git a/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv b/eeg_ds003654s_hed_longform/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv new file mode 100644 index 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148 n/a 13 u145.bmp +493.5007272727 n/a 123375.1818 right_press n/a n/a 148 n/a 4096 n/a +493.6225454545 n/a 123405.6364 show_circle n/a n/a 148 n/a 0 circle.bmp +495.3225454545 n/a 123830.6364 show_cross n/a n/a 149 n/a 1 cross.bmp +495.818 n/a 123954.5 show_face unfamiliar_face immediate_repeat 149 1 14 u145.bmp +496.4516363636 n/a 124112.9091 right_press n/a n/a 149 n/a 4096 n/a +496.6634545455 n/a 124165.8636 show_circle n/a n/a 149 n/a 0 circle.bmp +498.3634545455 n/a 124590.8636 show_cross n/a n/a 150 n/a 1 cross.bmp +498.87527272730006 n/a 124718.8182 show_face famous_face delayed_repeat 150 14 7 f027.bmp +499.7898181818 n/a 124947.4545 show_circle n/a n/a 150 n/a 0 circle.bmp +501.4898181818 n/a 125372.4545 show_cross n/a n/a 151 n/a 1 cross.bmp diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_channels.tsv b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_channels.tsv similarity index 100% rename from eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_channels.tsv rename to eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_channels.tsv diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.json b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.json new file mode 100644 index 000000000..164288067 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.json @@ -0,0 +1,24 @@ +{ + "TaskName": "FacePerception", + "TaskDescription": "Subjects viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", + "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", + "InstitutionName": "MRC Cognition & Brain Sciences Unit", + "EEGReference": "nose", + "EEGGround": "left collar bone", + "SamplingFrequency": 250, + "PowerLineFrequency": 50, + "SoftwareFilters": { + "LowPassFilter": { + "cutoff": "350 (Hz)" + } + }, + "EEGPlacementScheme": "extended 10-10% system", + "CapManufacturer": "Easycap", + "EEGChannelCount": 70, + "EOGChannelCount": 2, + "RecordingType": "continuous", + "MiscChannelCount": 309, + "RecordingDuration": 494, + "ECGChannelCount": 0, + "EMGChannelCount": 0 +} \ No newline at end of file diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_eeg.set new file mode 100644 index 000000000..e69de29bb diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv new file mode 100644 index 000000000..e868a93f8 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv @@ -0,0 +1,590 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +25.1161818182 n/a 6279.0455 show_face_initial famous_face first_show 1 n/a 5 f074.bmp +25.9789090909 n/a 6494.7273 show_circle n/a n/a 1 n/a 0 circle.bmp +26.0261818182 n/a 6506.5455 left_press n/a n/a 1 n/a 256 n/a +27.678909090900003 n/a 6919.7273 show_cross n/a n/a 2 n/a 1 cross.bmp +28.1734545455 n/a 7043.3636 show_face unfamiliar_face first_show 2 n/a 13 u011.bmp +29.0598181818 n/a 7264.9545 show_circle n/a n/a 2 n/a 0 circle.bmp +29.1116363636 n/a 7277.9091 left_press n/a n/a 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microV +EEG032 EEG microV +EEG033 EEG microV +EEG034 EEG microV +EEG035 EEG microV +EEG036 EEG microV +EEG037 EEG microV +EEG038 EEG microV +EEG039 EEG microV +EEG040 EEG microV +EEG041 EEG microV +EEG042 EEG microV +EEG043 EEG microV +EEG044 EEG microV +EEG045 EEG microV +EEG046 EEG microV +EEG047 EEG microV +EEG048 EEG microV +EEG049 EEG microV +EEG050 EEG microV +EEG051 EEG microV +EEG052 EEG microV +EEG053 EEG microV +EEG054 EEG microV +EEG055 EEG microV +EEG056 EEG microV +EEG057 EEG microV +EEG058 EEG microV +EEG059 EEG microV +EEG060 EEG microV +EEG061 HEOG n/a +EEG062 VEOG n/a +EEG063 MISC n/a +EEG064 MISC n/a +EEG065 EEG microV +EEG066 EEG microV +EEG067 EEG microV +EEG068 EEG microV +EEG069 EEG microV +EEG070 EEG microV +EEG071 EEG microV +EEG072 EEG microV +EEG073 EEG microV +EEG074 EEG microV +STI101 n/a n/a diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_eeg.json b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.json similarity index 100% rename from eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_eeg.json rename to eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.json diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.set b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-2_eeg.set new file mode 100644 index 000000000..e69de29bb diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv new file mode 100644 index 000000000..beae0bd77 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv @@ -0,0 +1,590 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +25.0143636364 n/a 6253.5909 show_face_initial famous_face first_show 1 n/a 5 f108.bmp 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microV +EEG060 EEG microV +EEG061 HEOG n/a +EEG062 VEOG n/a +EEG063 MISC n/a +EEG064 MISC n/a +EEG065 EEG microV +EEG066 EEG microV +EEG067 EEG microV +EEG068 EEG microV +EEG069 EEG microV +EEG070 EEG microV +EEG071 EEG microV +EEG072 EEG microV +EEG073 EEG microV +EEG074 EEG microV +STI101 n/a n/a diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.json b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.json new file mode 100644 index 000000000..acc6c9490 --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.json @@ -0,0 +1,24 @@ +{ + "TaskName": "FacePerception", + "TaskDescription": "Subjects viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", + "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", + "InstitutionName": "MRC Cognition & Brain Sciences Unit", + "EEGReference": "nose", + "EEGGround": "left collar bone", + "SamplingFrequency": 250, + "PowerLineFrequency": 50, + "SoftwareFilters": { + "LowPassFilter": { + "cutoff": "350 (Hz)" + } + }, + "EEGPlacementScheme": "extended 10-10% system", + "CapManufacturer": "Easycap", + "EEGChannelCount": 70, + "EOGChannelCount": 2, + "RecordingType": "continuous", + "MiscChannelCount": 309, + "RecordingDuration": 492, + "ECGChannelCount": 0, + "EMGChannelCount": 0 +} \ No newline at end of file diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_eeg.set new file mode 100644 index 000000000..e69de29bb diff --git a/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv new file mode 100644 index 000000000..b48439ffe --- /dev/null +++ b/eeg_ds003654s_hed_longform/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv @@ -0,0 +1,584 @@ +onset duration sample event_type face_type rep_status trial rep_lag value stim_file +0.004 n/a 1.0 setup_right_sym n/a n/a n/a n/a 3 n/a +27.5589090909 n/a 6889.7273 show_face_initial scrambled_face first_show 1 n/a 17 s044.bmp +28.2207272727 n/a 7055.1818 left_press n/a n/a 1 n/a 256 n/a +28.4352727273 n/a 7108.8182 show_circle n/a n/a 1 n/a 0 circle.bmp +30.1352727273 n/a 7533.8182 show_cross n/a n/a 2 n/a 1 cross.bmp +30.7489090909 n/a 7687.2273 show_face scrambled_face immediate_repeat 2 1 18 s044.bmp +31.3243636364 n/a 7831.0909 left_press n/a n/a 2 n/a 256 n/a +31.6498181818 n/a 7912.4545 show_circle n/a n/a 2 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119879.2727 show_face unfamiliar_face delayed_repeat 144 12 15 u037.bmp +480.2225454545 n/a 120055.6364 left_press n/a n/a 144 n/a 256 n/a +480.4025454545 n/a 120100.6364 show_circle n/a n/a 144 n/a 0 circle.bmp +482.1025454545 n/a 120525.6364 show_cross n/a n/a 145 n/a 1 cross.bmp +482.658 n/a 120664.5 show_face unfamiliar_face first_show 145 n/a 13 u148.bmp +483.4707272727 n/a 120867.6818 right_press n/a n/a 145 n/a 4096 n/a +483.5870909091 n/a 120896.7727 show_circle n/a n/a 145 n/a 0 circle.bmp +485.2870909091 n/a 121321.7727 show_cross n/a n/a 146 n/a 1 cross.bmp +485.7652727273 n/a 121441.3182 show_face scrambled_face first_show 146 n/a 17 s063.bmp +486.4825454545 n/a 121620.6364 right_press n/a n/a 146 n/a 4096 n/a +486.6489090909 n/a 121662.2273 show_circle n/a n/a 146 n/a 0 circle.bmp +488.3489090909 n/a 122087.2273 show_cross n/a n/a 147 n/a 1 cross.bmp +488.9389090909 n/a 122234.7273 show_face unfamiliar_face first_show 147 n/a 13 u101.bmp +489.6416363636 n/a 122410.4091 right_press n/a n/a 147 n/a 4096 n/a +489.9434545455 n/a 122485.8636 show_circle n/a n/a 147 n/a 0 circle.bmp +491.6434545455001 n/a 122910.8636 show_cross n/a n/a 148 n/a 1 cross.bmp diff --git a/eeg_ds003654s_hed_longform/task-FacePerception_events.json b/eeg_ds003654s_hed_longform/task-FacePerception_events.json new file mode 100644 index 000000000..c022a76b1 --- /dev/null +++ b/eeg_ds003654s_hed_longform/task-FacePerception_events.json @@ -0,0 +1,137 @@ +{ + "onset": { + "Description": "Position of event marker in seconds relative to the start.", + "Units": "s" + }, + "duration": { + "Description": "Duration of the event in seconds.", + "Units": "s" + }, + "event_type": { + "LongName": "Event category", + "Description": "The main category of the event.", + "Levels": { + "show_face": "Display a face to mark end of pre-stimulus and start of blink-inhibition.", + "show_face_initial": "Display a face at the beginning of the recording.", + "show_circle": "Display a white circle to mark end of the stimulus and blink inhibition.", + "show_cross": "Display only a white cross to mark start of trial and fixation.", + "left_press": "Experiment participant presses a key with left index finger.", + "right_press": "Experiment participant presses a key with right index finger.", + "setup_left_sym": "Setup for experiment with pressing key with left index finger means a face with above average symmetry.", + "setup_right_sym": "Setup for experiment with pressing key with right index finger means a face with above average symmetry.", + "double_press": "Experiment participant presses both keys ." + }, + "HED": { + "show_face": "Event/Sensory-event,Property/Task-property/Task-event-role/Experimental-stimulus,(Property/Organizational-property/Def/Face-image,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Blink-inhibition-task,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Cross-only,Property/Data-property/Data-marker/Temporal-marker/Offset)", + "show_face_initial": "Event/Sensory-event,Property/Task-property/Task-event-role/Experimental-stimulus,(Property/Organizational-property/Def/Face-image,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Blink-inhibition-task,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Fixation-task,Property/Data-property/Data-marker/Temporal-marker/Onset)", + "show_circle": "Event/Sensory-event,(Property/Task-property/Task-effect-evidence/Intended-effect,Property/Task-property/Task-stimulus-role/Cue),(Property/Organizational-property/Def/Circle-only,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Face-image,Property/Data-property/Data-marker/Temporal-marker/Offset),(Property/Organizational-property/Def/Blink-inhibition-task,Property/Data-property/Data-marker/Temporal-marker/Offset),(Property/Organizational-property/Def/Fixation-task,Property/Data-property/Data-marker/Temporal-marker/Offset)", + "show_cross": "Event/Sensory-event,(Property/Task-property/Task-effect-evidence/Intended-effect,Property/Task-property/Task-stimulus-role/Cue),(Property/Organizational-property/Def/Cross-only,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Fixation-task,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Circle-only,Property/Data-property/Data-marker/Temporal-marker/Offset)", + "left_press": "Event/Agent-action,Property/Task-property/Task-event-role/Participant-response,Property/Organizational-property/Def/Press-left-finger", + "right_press": "Event/Agent-action,Property/Task-property/Task-event-role/Participant-response,Property/Organizational-property/Def/Press-right-finger", + "setup_left_sym": "Event/Experiment-structure,(Property/Organizational-property/Def/Left-sym-cond,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Initialize-recording,Property/Data-property/Data-marker/Temporal-marker/Onset)", + "setup_right_sym": "Event/Experiment-structure,(Property/Organizational-property/Def/Right-sym-cond,Property/Data-property/Data-marker/Temporal-marker/Onset),(Property/Organizational-property/Def/Initialize-recording,Property/Data-property/Data-marker/Temporal-marker/Onset)", + "double_press": "Event/Agent-action,Property/Task-property/Task-action-type/Indeterminate-action,(Action/Move/Move-body-part/Move-upper-extremity/Press,Item/Object/Man-made-object/Device/IO-device/Input-device/Keyboard/Keyboard-key)" + } + }, + "face_type": { + "Description": "Factor indicating type of face image being displayed.", + "Levels": { + "famous_face": "A face that should be recognized by the participants.", + "unfamiliar_face": "A face that should not be recognized by the participants.", + "scrambled_face": "A scrambled face image generated by taking face 2D FFT." + }, + "HED": { + "famous_face": "Property/Organizational-property/Def/Famous-face-cond", + "unfamiliar_face": "Property/Organizational-property/Def/Unfamiliar-face-cond", + "scrambled_face": "Property/Organizational-property/Def/Scrambled-face-cond" + } + }, + "rep_status": { + "Description": "Factor indicating whether this image has been already seen.", + "Levels": { + "first_show": "Factor level indicating the first display of this face.", + "immediate_repeat": "Factor level indicating this face was the same as previous one.", + "delayed_repeat": "Factor level indicating face was seen 5 to 15 trials ago." + }, + "HED": { + "first_show": "Property/Organizational-property/Def/First-show-cond", + "immediate_repeat": "Property/Organizational-property/Def/Immediate-repeat-cond", + "delayed_repeat": "Property/Organizational-property/Def/Delayed-repeat-cond" + } + }, + "trial": { + "Description": "Indicates which trial this event belongs to.", + "HED": "Property/Organizational-property/Experimental-trial/#" + }, + "rep_lag": { + "Description": "How face images before this one was the image was previously presented.", + "HED": "(Item/Biological-item/Anatomical-item/Body-part/Head/Face,Property/Data-property/Data-value/Quantitative-value/Item-interval/#)" + }, + "stim_file": { + "Description": "Path of the stimulus file in the stimuli directory.", + "HED": "(Item/Object/Man-made-object/Media/Visualization/Image,Property/Informational-property/Metadata/Pathname/#)" + }, + "hed_def_sensory": { + "Description": "Metadata dictionary for gathering sensory definitions", + "HED": { + "cross_only_def": "(Property/Organizational-property/Definition/Cross-only,(Property/Sensory-property/Sensory-presentation/Visual-presentation,(Property/Sensory-property/Sensory-presentation/Visual-presentation/Foreground-view,(Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/White-color/White,Item/Object/Geometric-object/2D-shape/Cross),(Relation/Spatial-relation/Center-of,Item/Object/Man-made-object/Device/IO-device/Output-device/Display-device/Computer-screen)),(Property/Sensory-property/Sensory-presentation/Visual-presentation/Background-view,Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/Gray-color/Black),Property/Informational-property/Description/A white fixation cross on a black background in the center of the screen.))", + "face_image_def": "(Property/Organizational-property/Definition/Face-image,(Property/Sensory-property/Sensory-presentation/Visual-presentation,(Property/Sensory-property/Sensory-presentation/Visual-presentation/Foreground-view,((Item/Object/Man-made-object/Media/Visualization/Image,Item/Biological-item/Anatomical-item/Body-part/Head/Face,Item/Biological-item/Anatomical-item/Body-part/Head/Hair),Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/Grayscale),((Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/White-color/White,Item/Object/Geometric-object/2D-shape/Cross),(Relation/Spatial-relation/Center-of,Item/Object/Man-made-object/Device/IO-device/Output-device/Display-device/Computer-screen))),(Property/Sensory-property/Sensory-presentation/Visual-presentation/Background-view,Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/Gray-color/Black),Property/Informational-property/Description/A happy or neutral face in frontal or three-quarters frontal pose with long hair cropped presented as an achromatic foreground image on a black background with a white fixation cross superposed.))", + "circle_only_def": "(Property/Organizational-property/Definition/Circle-only,(Property/Sensory-property/Sensory-presentation/Visual-presentation,(Property/Sensory-property/Sensory-presentation/Visual-presentation/Foreground-view,((Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/White-color/White,Item/Object/Geometric-object/2D-shape/Ellipse/Circle),(Relation/Spatial-relation/Center-of,Item/Object/Man-made-object/Device/IO-device/Output-device/Display-device/Computer-screen))),(Property/Sensory-property/Sensory-presentation/Visual-presentation/Background-view,Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/Gray-color/Black),Property/Informational-property/Description/A white circle on a black background in the center of the screen.))" + } + }, + "hed_def_actions": { + "Description": "Metadata dictionary for gathering participant action definitions", + "HED": { + "press_left_finger_def": "(Property/Organizational-property/Definition/Press-left-finger,((Item/Biological-item/Anatomical-item/Body-part/Upper-extremity/Hand/Finger/Index-finger,(Relation/Spatial-relation/Left-side-of,Property/Agent-property/Agent-task-role/Experiment-participant)),(Action/Move/Move-body-part/Move-upper-extremity/Press,Item/Object/Man-made-object/Device/IO-device/Input-device/Keyboard/Keyboard-key),Property/Informational-property/Description/The participant presses a key with the left index finger to indicate a face symmetry judgment.))", + "press_right_finger_def": "(Property/Organizational-property/Definition/Press-right-finger,((Item/Biological-item/Anatomical-item/Body-part/Upper-extremity/Hand/Finger/Index-finger,(Relation/Spatial-relation/Right-side-of,Property/Agent-property/Agent-task-role/Experiment-participant)),(Action/Move/Move-body-part/Move-upper-extremity/Press,Item/Object/Man-made-object/Device/IO-device/Input-device/Keyboard/Keyboard-key),Property/Informational-property/Description/The participant presses a key with the right index finger to indicate a face symmetry evaluation.))" + } + }, + "hed_def_conds": { + "Description": "Metadata dictionary for gathering experimental condition definitions", + "HED": { + "famous_face_cond_def": "(Property/Organizational-property/Definition/Famous-face-cond,(Property/Organizational-property/Condition-variable/Face-type,(Item/Object/Man-made-object/Media/Visualization/Image,(Item/Biological-item/Anatomical-item/Body-part/Head/Face,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Famous)),Property/Informational-property/Description/A face that should be recognized by the participants))", + "unfamiliar_face_cond_def": "(Property/Organizational-property/Definition/Unfamiliar-face-cond,(Property/Organizational-property/Condition-variable/Face-type,(Item/Object/Man-made-object/Media/Visualization/Image,(Item/Biological-item/Anatomical-item/Body-part/Head/Face,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Unfamiliar)),Property/Informational-property/Description/A face that should not be recognized by the participants.))", + "scrambled_face_cond_def": "(Property/Organizational-property/Definition/Scrambled-face-cond,(Property/Organizational-property/Condition-variable/Face-type,(Item/Object/Man-made-object/Media/Visualization/Image,(Item/Biological-item/Anatomical-item/Body-part/Head/Face,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Disordered)),Property/Informational-property/Description/A scrambled face image generated by taking face 2D FFT.))", + "first_show_cond_def": "(Property/Organizational-property/Definition/First-show-cond,((Property/Organizational-property/Condition-variable/Repetition-type,(Property/Data-property/Data-value/Quantitative-value/Item-count/1,Item/Biological-item/Anatomical-item/Body-part/Head/Face),Property/Data-property/Data-value/Quantitative-value/Item-interval/0),Property/Informational-property/Description/Factor level indicating the first display of this face.))", + "immediate_repeat_cond_def": "(Property/Organizational-property/Definition/Immediate-repeat-cond,((Property/Organizational-property/Condition-variable/Repetition-type,(Property/Data-property/Data-value/Quantitative-value/Item-count/2,Item/Biological-item/Anatomical-item/Body-part/Head/Face),Property/Data-property/Data-value/Quantitative-value/Item-interval/1),Property/Informational-property/Description/Factor level indicating this face was the same as previous one.))", + "delayed_repeat_cond_def": "(Property/Organizational-property/Definition/Delayed-repeat-cond,(Property/Organizational-property/Condition-variable/Repetition-type,(Property/Data-property/Data-value/Quantitative-value/Item-count/2,Item/Biological-item/Anatomical-item/Body-part/Head/Face),(Property/Data-property/Data-value/Quantitative-value/Item-interval,(Relation/Comparative-relation/Greater-than-or-equal-to,Property/Data-property/Data-value/Quantitative-value/Item-interval/5)),Property/Informational-property/Description/Factor level indicating face was seen 5 to 15 trials ago.))", + "left_sym_cond_def": "(Property/Organizational-property/Definition/Left-sym-cond,(Property/Organizational-property/Condition-variable/Key-assignment,((Item/Biological-item/Anatomical-item/Body-part/Upper-extremity/Hand/Finger/Index-finger,(Relation/Spatial-relation/Left-side-of,Property/Agent-property/Agent-task-role/Experiment-participant)),(Property/Task-property/Task-effect-evidence/Behavioral-evidence,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Symmetrical)),((Item/Biological-item/Anatomical-item/Body-part/Upper-extremity/Hand/Finger/Index-finger,(Relation/Spatial-relation/Right-side-of,Property/Agent-property/Agent-task-role/Experiment-participant)),(Property/Task-property/Task-effect-evidence/Behavioral-evidence,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Asymmetrical)),Property/Informational-property/Description/Left index finger key press indicates a face with above average symmetry.))", + "right_sym_cond_def": "(Property/Organizational-property/Definition/Right-sym-cond,(Property/Organizational-property/Condition-variable/Key-assignment,((Item/Biological-item/Anatomical-item/Body-part/Upper-extremity/Hand/Finger/Index-finger,(Relation/Spatial-relation/Right-side-of,Property/Agent-property/Agent-task-role/Experiment-participant)),(Property/Task-property/Task-effect-evidence/Behavioral-evidence,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Symmetrical)),((Item/Biological-item/Anatomical-item/Body-part/Upper-extremity/Hand/Finger/Index-finger,(Relation/Spatial-relation/Left-side-of,Property/Agent-property/Agent-task-role/Experiment-participant)),(Property/Task-property/Task-effect-evidence/Behavioral-evidence,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Asymmetrical)),Property/Informational-property/Description/Right index finger key press indicates a face with above average symmetry.))" + } + }, + "hed_def_tasks": { + "Description": "Metadata dictionary for gathering task definitions", + "HED": { + "face_symmetry_evaluation_task_def": "(Property/Organizational-property/Definition/Face-symmetry-evaluation-task,(Property/Organizational-property/Task,Property/Agent-property/Agent-task-role/Experiment-participant,(Action/Perceive/See,Item/Biological-item/Anatomical-item/Body-part/Head/Face),(Action/Think/Discriminate,(Item/Biological-item/Anatomical-item/Body-part/Head/Face,Property/Data-property/Data-value/Categorical-value/Categorical-judgment-value/Symmetrical)),(Action/Move/Move-body-part/Move-upper-extremity/Press,Item/Object/Man-made-object/Device/IO-device/Input-device/Keyboard/Keyboard-key),Property/Informational-property/Description/Evaluate degree of image symmetry and respond with key press evaluation.))", + "blink_inhibition_task_def": "(Property/Organizational-property/Definition/Blink-inhibition-task,(Property/Organizational-property/Task,Property/Agent-property/Agent-task-role/Experiment-participant,Action/Move/Move-body-part/Move-eyes/Inhibit-blinks,Property/Informational-property/Description/Do not blink while the face image is displayed.))", + "fixation_task_def": "(Property/Organizational-property/Definition/Fixation-task,(Property/Organizational-property/Task,Property/Agent-property/Agent-task-role/Experiment-participant,(Action/Move/Move-body-part/Move-eyes/Fixate,Item/Object/Geometric-object/2D-shape/Cross),Property/Informational-property/Description/Fixate on the cross at the screen center.))" + } + }, + "hed_def_setup": { + "Description": "Metadata dictionary for gathering setup definitions", + "HED": { + "setup_def": "(Property/Organizational-property/Definition/Initialize-recording,(Property/Organizational-property/Recording))" + } + }, + "value": { + "Description": "Numerical event marker", + "Levels": { + "x0": "Disappearance of face image and display of the inter-stimulus circle simultaneously", + "x1": "Disappearance of face image and display of the inter-stimulus circle simultaneously", + "x2": "Initial setup with left finger key press indicating above average symmetry", + "x3": "Initial setup with right finger key press indicating above average symmetry", + "x5": "Initial presentation of famous face", + "x6": "Immediate repeated presentation of famous face", + "x7": "Delayed repeated presentation of famous face", + "x13": "Initial presentation of unfamiliar face", + "x14": "Immediate repeated presentation of unfamiliar face", + "x15": "Delayed repeated presentation of unfamiliar face", + "x17": "Initial presentation of scrambled face", + "x18": "Immediate repeated presentation of scrambled face", + "x19": "Delayed repeated presentation of scrambled face", + "x256": "Left finger key press", + "x4096": "Right finger key press", + "x4352": "Left and right finger key presses" + } + } +} \ No newline at end of file diff --git a/eeg_hed_small/README b/eeg_hed_small/README deleted file mode 100644 index 5ce053b29..000000000 --- a/eeg_hed_small/README +++ /dev/null @@ -1,24 +0,0 @@ -**Introduction:** -This dataset consists of the MEEG (sMRI+MEG+EEG) portion of the multi-subject, multi-modal face processing dataset (ds000117). This dataset was originally acquired and shared by Daniel Wakeman and Richard Henson (https://pubmed.ncbi.nlm.nih.gov/25977808/). The data has been repackaged in EEGLAB format and has undergone minimal preprocessing as well as reorganization and annotation of the dataset events. - -**Overview of the experiment:** -Nineteen participants completed two recording sessions spaced three months apart – one session recorded fMRI and the other simultaneously recorded MEG and EEG data. During each session, participants performed the same simple perceptual task, responding to presented photographs of famous, unfamiliar, and scrambled faces by pressing one of two keyboard keys to indicate a subjective yes or no decision as to the relative spatial symmetry of the viewed face. Famous faces were feature-matched to unfamiliar faces; half the faces were female. The two sessions (MEEG, fMRI) had different organizations of event timing and presentation because of technological requirements of the respective imaging modalities. Each individual face was presented twice during the session. For half of the presented faces, the second presentation followed immediately after the first. For the other half, the second presentation was delayed by 5-15 face presentations. - -**Preprocessing:** -The preprocessing, which was performed using the `wh_extracteeg_BIDS.m` located in the code directory, includes the following steps: -* Ignore MRI data except for sMRI. -* Extract EEG channels out of the MEG/EEG fif data -* Add fiducials -* Rename EOG and EKG channels -* Extract events from event channel -* Remove spurious events 5, 6, 7, 13, 14, 15, 17, 18 and 19 -* Remove spurious event 24 for subject 3 run 4 -* Rename events taking into account button assigned to each subject -* Correct event latencies (events have a shift of 34 ms) -* Resample data to 250 Hz (this step is performed because this dataset is used in a tutorial for EEGLAB and needs to be lightweight) -* Remove event fields `urevent` and `duration` -* Save as EEGLAB .set format - -**Data curators:** -Ramon Martinez, Dung Truong, Scott Makeig, Arnaud Delorme (UCSD, La Jolla, CA, USA), Kay Robbins (UTSA, San Antonio, TX, USA) - diff --git a/eeg_hed_small/code/dInfo.m b/eeg_hed_small/code/dInfo.m deleted file mode 100644 index cc591325b..000000000 --- a/eeg_hed_small/code/dInfo.m +++ /dev/null @@ -1,662 +0,0 @@ -% subj001 -datInfo = []; -datInfo(end+1).name = 'sub001'; -datInfo(end).event256 = 'left_nonsym'; -datInfo(end).event4096 = 'right_sym'; -datInfo(end).edgelenval = 1; -datInfo(end).twoDipoleList = 0; -datInfo(end).fid = []; -datInfo(end).bad_channels = []; -datInfo(end).bad_regions = []; -datInfo(end).bad_epochs = []; -datInfo(end).bad_comps = []; - -% subj002 -datInfo(end+1).name = 'sub002'; -datInfo(end).event256 = 'left_nonsym'; -datInfo(end).event4096 = 'right_sym'; -datInfo(end).edgelenval = 1; -datInfo(end).fid = [-7.09986 -2.65374e-06 -6.44006e-07; 3.99949e-07 10.6357 -9.81698e-07; 7.75649 1.59871e-06 -6.62746e-07]; %[LPA; Nz; LRA] -datInfo(end).bad_channels = []; -datInfo(end).bad_regions = []; -datInfo(end).bad_epochs = [666 674]; -datInfo(end).bad_comps = [ -0.765634 3.618415 -0.809915 4.195134 2.555376 1.737993 1.885690 2.150372 1.169568 1.310148 1.031629 0.807578 0.714619 0.614589 0.848417 0.631290 0.088102 -0.240097 0.143432 0.359244 0.311920 0.213760 0.133346 0.094467 -0.026823 -0.171969 -0.330970 -0.671507 -0.467847 -0.246083 -0.112702 -0.104001 -0.181463 -0.212945 -0.260056 -0.306892 -0.407788 -0.541494 -0.692519 -0.667245 -0.466392 -0.352304 -0.347139 -0.330855 -0.398919 -0.439460 -0.436753 -0.520580 -0.618681 -0.781394 -0.729188 -0.580607 -0.508374 -0.492709 -0.482689 -0.543367 -0.551239 -0.554906 -0.606628 -0.686350 -0.798555 -0.652014 -0.610401 -0.648008 -0.657103 -0.718258 -0.637996 -0.712061 -0.729551 -0.804659 ; 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- -0.360343 1.886924 -0.775683 3.325563 1.701949 1.047775 0.138283 -1.788267 2.411499 1.889732 1.307464 0.833667 0.556902 0.155834 -0.384493 -1.277709 -2.103656 1.474321 1.597868 1.498306 1.056373 0.598503 0.271078 -0.068985 -0.529877 -1.087841 -1.484918 -1.675422 0.998253 0.910531 0.881877 0.572858 0.304504 0.055733 -0.196094 -0.509033 -0.858204 -1.058179 -1.322189 0.227166 0.358235 0.367629 0.267345 0.068450 -0.103528 -0.306958 -0.489799 -0.671852 -0.841252 -0.860313 -0.119120 0.019027 0.047912 0.007927 -0.133162 -0.281849 -0.403487 -0.522842 -0.614300 -0.709376 -0.794001 -0.247517 -0.268004 -0.444083 -0.561913 -0.711341 -0.410086 -0.587051 -0.642182 -0.634579 ; -]; - -%% Subject 18 -datInfo(18).twoDipoleIC = [ 1.131427 -1.178418 1.448746 -1.003113 -1.201136 -1.271171 -1.227686 -1.035643 -0.978690 -1.013504 -1.113621 -1.219845 -1.249517 -1.199994 -1.135856 -1.050418 -0.525620 -0.748164 -0.880799 -1.013356 -1.068276 -0.970016 -0.846686 -0.686951 -0.543967 -0.569258 -0.320865 -0.240256 -0.344675 -0.505934 -0.646788 -0.654940 -0.533864 -0.342734 -0.172205 -0.317635 0.436722 0.504697 0.133353 -0.071439 -0.229122 -0.182995 -0.009922 0.362746 0.695192 1.231768 0.683876 0.932256 0.901371 0.766328 0.397797 0.165082 0.276716 0.532406 1.175659 1.980860 2.116974 1.532175 1.305812 0.781690 0.722859 1.770255 2.462825 1.232933 1.300694 1.694424 0.899796 ; - -0.547242 0.145438 0.643994 -1.534579 -0.733792 0.077195 0.885279 1.800282 -1.779197 -1.506726 -0.975088 -0.421519 0.018194 0.543830 1.056640 1.575631 -1.825423 -1.618839 -1.236955 -0.524307 0.050709 0.590672 1.114946 1.452247 1.717478 1.853040 -1.719674 -1.532576 -1.456983 -0.968229 -0.456397 0.004974 0.408176 0.823573 1.250899 1.630339 -1.352408 -1.283139 -1.115504 -0.851468 -0.435772 -0.007946 0.353036 0.682190 0.997598 1.203978 1.253561 -0.929045 -0.882847 -0.901939 -0.682031 -0.345862 0.034428 0.298062 0.527761 0.754083 0.910483 0.915491 -0.603093 -0.367845 0.019770 0.385247 0.717440 -0.282208 0.071436 0.489283 0.145700 ; - 1.031124 -0.718383 0.866850 -0.642872 -0.811998 -0.801268 -0.670144 -0.540343 -0.628749 -0.762008 -0.910551 -0.974011 -0.958194 -0.895752 -0.749177 -0.576166 -0.352065 -0.656841 -0.851598 -1.120548 -1.019278 -0.987456 -0.742992 -0.629609 -0.548616 -0.335491 -0.250097 -0.389362 -0.454630 -0.599091 -0.760758 -0.751972 -0.720794 -0.642836 -0.589045 -0.328308 -0.069479 -0.005049 -0.069067 -0.180116 -0.261043 -0.197943 -0.220407 -0.217528 -0.406563 -0.600964 -0.147912 0.378354 0.651622 0.787423 0.729290 0.520994 0.786828 0.740864 0.787294 0.390890 0.233805 0.319095 1.567212 1.980931 2.076295 2.546798 1.493451 2.693135 3.145674 2.207702 1.144774 ; -]; - -%% Subject 19 -datInfo(19).twoDipoleIC = [ 0.851713 -1.045674 1.948645 -0.948616 -1.077178 -1.045106 -1.018733 -0.857547 -0.947894 -0.983165 -1.021990 -1.045328 -1.012185 -0.954880 -0.876023 -0.738861 -0.520279 -0.662014 -0.761016 -0.856090 -0.910587 -0.951268 -0.868657 -0.761339 -0.608272 -0.474912 -0.383096 -0.391698 -0.316703 -0.452288 -0.658632 -0.675183 -0.647330 -0.562821 -0.438512 -0.182735 -0.029309 -0.147973 0.534411 0.324386 -0.044432 -0.349178 -0.365458 -0.272046 -0.097978 0.178321 0.497316 0.921842 1.089910 0.964802 1.008519 0.620133 0.046626 -0.077599 0.020070 0.315118 0.911394 1.620594 2.246269 2.083611 1.466623 0.421919 0.427476 1.526658 3.864383 0.749310 0.810262 1.845574 0.556179 ; - -0.804909 3.380096 -0.820260 3.452108 2.549894 2.037594 2.031478 1.375166 1.585071 1.311765 1.074355 0.971299 0.818195 0.939810 1.239716 0.994468 0.100102 0.396278 0.471377 0.283868 0.141527 -0.005640 -0.044174 0.008073 0.085315 0.122410 -0.077582 -0.239918 -0.135467 -0.179831 -0.282038 -0.367610 -0.480739 -0.478193 -0.452103 -0.358177 -0.308245 -0.425298 -0.596399 -0.409218 -0.451704 -0.535668 -0.600464 -0.680821 -0.680197 -0.656366 -0.599568 -0.561662 -0.662733 -0.711690 -0.576560 -0.588461 -0.663117 -0.726257 -0.788501 -0.793389 -0.775079 -0.744770 -0.693085 -0.793304 -0.661595 -0.749035 -0.849796 -0.836823 -0.797538 -0.770631 -0.866166 -0.830154 -0.859945 ; - 0.105397 7.627760 0.096583 0.790474 -0.685067 -1.369172 -1.206884 0.083564 -0.678875 -1.203880 -0.834599 -0.692534 -0.696251 -1.016957 -1.038720 0.023607 0.003062 0.000726 -0.238590 -0.324299 -0.293437 -0.234079 -0.240486 -0.277907 -0.238252 0.056728 0.042764 0.042375 0.020148 -0.038206 -0.060300 -0.060546 -0.031452 -0.039552 -0.039462 -0.023734 0.000331 0.084990 0.078490 0.054581 0.035643 0.027581 0.023352 0.033035 0.034921 0.034427 0.051946 0.099469 0.097831 0.088209 0.058776 0.062790 0.062619 0.060021 0.064852 0.059937 0.067274 0.068077 0.078442 0.096663 0.068922 0.076813 0.084289 0.079671 0.087545 0.081737 0.092399 0.089165 0.097304 ; -]; - - -% datInfo(11).= - - - - \ No newline at end of file diff --git a/eeg_hed_small/code/wh_bids_export_eeglab.m b/eeg_hed_small/code/wh_bids_export_eeglab.m deleted file mode 100644 index c3463b38e..000000000 --- a/eeg_hed_small/code/wh_bids_export_eeglab.m +++ /dev/null @@ -1,264 +0,0 @@ -% Script to import Wakeman-Henson data to BIDS -% Authors: Ramon Martinez-Cancino SCCN 2020 -% Dung Truong, SCCN 2020 -% Arnaud Delorme, 2020 -% -%% Raw data files path -% -----------------------------------------------------| -clear -currentPath = fileparts( which('code_wh_extracteeg_BIDS_HED') ); -path2code = currentPath; - -% path2data = fullfile(currentPath, 'ds117forbids'); % Arno's path -path2data = fullfile(fileparts(currentPath), 'ds117forbids-HED'); - -% path2bids = fullfile(currentPath, 'bids_export'); % Arno's path -path2bids = fullfile(fileparts(currentPath), 'bids_export_with_HED2'); - -% path2stimfiles = fullfile(currentPath, 'faces_images'); % Arno's path -path2stimfiles = fullfile(fileparts(currentPath), 'faces_images'); - -subjindx = 2:19; % range of subject to export -for isubj=1:length(subjindx) - filenames = {}; - for irun=1:6 - subjfilename = sprintf('sub%3.3d/SET/ds000117_sub%3.3d_run-%d.set', subjindx(isubj), subjindx(isubj), irun); - filenames{end+1} = fullfile(path2data, subjfilename); - end - subject(isubj).file = filenames; - subject(isubj).session = [1 1 1 1 1 1]; - subject(isubj).run = [1 2 3 4 5 6]; - subject(isubj).anat = fullfile(path2data, sprintf('sub%3.3d/anat/anat_sub%3.3d.nii.gz', subjindx(isubj), subjindx(isubj))); -end - -% Anatomical MRI files -anattype = 'T1w'; -defacedflag = 'on'; - -% Creating array of stimulus files -tmpfiles = dir(path2stimfiles); -stimfiles = [{tmpfiles(3:end).folder}' {tmpfiles(3:end).name}']; - -%% Code Files used to preprocess and import to BIDS -% -----------------------------------------------------| -codefiles = { fullfile(path2code, 'wh_extracteeg_BIDS_HED.m') ... - fullfile(path2code, 'wh_bids_export_eeglab.m') ... - fullfile(path2code, 'dInfo.m')}; - -%% General information for dataset_description.json file -% -----------------------------------------------------| -generalInfo.Name = 'Face processing MEEG dataset with HED annotation'; -generalInfo.BIDSVersion = 'v1.4.0'; -generalInfo.License = 'CC0'; -generalInfo.Authors = {'Daniel G. Wakeman', 'Richard N Henson'}; -generalInfo.ReferencesAndLinks = {'Wakeman, D., Henson, R. A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001 (2015). https://doi.org/10.1038/sdata.2015.1'}; -generalInfo.Funding = {'This work was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.'}; - -%% Participant information for participants.tsv file -% -------------------------------------------------| -%% Subjects missing information in WH BIDS 1.0.0: [4 6 7 13 19] -pInfo = {'participant_id' 'age' 'gender';... - 'sub-002' 31 'M'; - 'sub-003' 25 'M'; - 'sub-004' 'n/a' 'n/a' - 'sub-005' 30 'M'; - 'sub-006' 'n/a' 'n/a' - 'sub-007' 'n/a' 'n/a' - 'sub-008' 23 'F'; - 'sub-009' 26 'M'; - 'sub-010' 31 'F'; - 'sub-011' 26 'M'; - 'sub-012' 29 'M'; - 'sub-013' 'n/a' 'n/a' - 'sub-014' 26 'F'; - 'sub-015' 23 'M'; - 'sub-016' 24 'F'; - 'sub-017' 24 'F'; - 'sub-018' 25 'F'; - 'sub-019' 'n/a' 'n/a' }; - -pInfo = pInfo([1 subjindx], :); - -%% Participant column description for participants.json file -% ---------------------------------------------------------| -% participant_id -pInfoDesc.participant_id.LongName = 'Participant identifier'; -pInfoDesc.participant_id.Description = 'Unique subject identifier'; - -% sex -pInfoDesc.gender.Description = 'Sex of the subject'; -pInfoDesc.gender.Levels.M = 'male'; -pInfoDesc.gender.Levels.F = 'female'; - -% age -pInfoDesc.age.Description = 'Age of the subject'; -pInfoDesc.age.Units = 'years'; - - -%% Event column description for xxx-events.json file -% --------------------------------------------------- -eInfo = {'event_type' 'type'; - 'face_type' 'face_type'; - 'repetition_type' 'repetition_type'; - 'trigger' 'trigger'; - 'stim_file' 'stim_file'}; - - -% Event Onset -eInfoDesc.onset.Description = 'Onset of the event in seconds relative to the start of the recording.'; -eInfoDesc.onset.Units = 'miliseconds'; - -% Event Duration -eInfoDesc.onset.Description = 'Duration of the event in seconds.'; -eInfoDesc.onset.Units = 's'; - -% Event types -eInfoDesc.event_type.LongName = 'Event category'; -eInfoDesc.event_type.Description = 'The main category of the event.'; -eInfoDesc.event_type.Levels.setup = 'Mark start of experiment and document applicable metadata.'; -eInfoDesc.event_type.Levels.('show_cross') = 'Display only a white cross to mark start of trial and fixation.'; -eInfoDesc.event_type.Levels.('show_face') = 'Display a face to mark end of pre-stimulus and start of blink-inhibition.'; -eInfoDesc.event_type.Levels.('show_circle') = 'Display a white circle to mark end of the stimulus and blink inhibition.'; -eInfoDesc.event_type.Levels.('left_press') = 'Experimental participant presses a key with left index finger.'; -eInfoDesc.event_type.Levels.('right_press') = 'Experimental participant presses a key with right index finger.'; -eInfoDesc.event_type.Levels.('left_sym') = 'Pressing key with left index finger means a face with above average symmetry.'; -eInfoDesc.event_type.Levels.('right_sym') = 'Pressing key with right index finger means a face with above average symmetry.'; -eInfoDesc.event_type.('HED').setup = 'Experiment-structure, (Def/Initialize-recording, Onset)'; -eInfoDesc.event_type.('HED').('show_cross') = 'Sensory-event, (Intended-effect, Cue), (Def/Cross-only, Onset),(Def/Fixation, Onset), (Def/Trial, Onset), (Def/Circle-only, Offset)'; -eInfoDesc.event_type.('HED').('show_face') = 'Sensory-event, Experimental-stimulus, (Def/Face-image, Onset),(Def/Blink-inhibition-task,Onset),(Def/Cross-only, Offset)'; -eInfoDesc.event_type.('HED').('show_circle') = 'Sensory-event, (Intended-effect, Cue), (Def/Circle-only, Onset),(Def/Face-image, Offset), (Def/Blink-inhibition-task, Offset),(Def/Fixation-task, Offset)'; -eInfoDesc.event_type.('HED').('left_press') = 'Agent-action, Participant-response, Def/Press-left-finger'; -eInfoDesc.event_type.('HED').('right_press') = 'Agent-action, Participant-response, Def/Press-right-finger'; -eInfoDesc.event_type.('HED').('left_sym') = 'Experiment-structure, (Def/Left-sym-cond, Onset)'; -eInfoDesc.event_type.('HED').('right_sym') = 'Experiment-structure, (Def/Right-sym-cond, Onset)'; - -% Face Type -eInfoDesc.face_type.Description = 'Factor indicating type of face image being displayed.'; -eInfoDesc.face_type.Levels.('famous_face') = 'A face that should be recognized by the participants.'; -eInfoDesc.face_type.Levels.('unfamiliar_face') = 'A face that should not be recognized by the participants.'; -eInfoDesc.face_type.Levels.('scrambled_face') = 'A scrambled face image generated by taking face 2D FFT.'; -eInfoDesc.face_type.('HED').('famous_face') = 'Def/Famous-face-cond'; -eInfoDesc.face_type.('HED').('unfamiliar_face') = 'Def/Unfamiliar-face-cond'; -eInfoDesc.face_type.('HED').('scrambled_face') = 'Def/Scrambled-face-cond'; - -% Repetition Type -eInfoDesc.repetition_type.Description = 'Factor indicating whether this image has been already seen.'; -eInfoDesc.repetition_type.Levels.('first_show') = 'Factor level indicating the first display of this face.'; -eInfoDesc.repetition_type.Levels.('immediate_repeat') = 'Factor level indicating this face was the same as previous one.'; -eInfoDesc.repetition_type.Levels.('delayed_repeat') = 'Factor level indicating face was seen 5 to 15 trials ago.'; -eInfoDesc.repetition_type.('HED').('first_show') = 'Def/First-show-cond'; -eInfoDesc.repetition_type.('HED').('immediate_repeat') = 'Def/Immediate-repeat-cond'; -eInfoDesc.repetition_type.('HED').('delayed_repeat') = 'Def/Delayed-repeat-cond'; - -% Stim Files -eInfoDesc.stim_file.Description = 'Path of the stimulus file in the stimuli directory.'; -eInfoDesc.stim_file.('HED') = '(Image, Path-name/#)'; - -% HED definitions -eInfoDesc.hed_def_sensory.Description = 'Metadata dictionary for gathering sensory definitions'; -eInfoDesc.hed_def_sensory.('HED').('Cross_only_def') = '(Definition/Cross-only, (Visual, (Foreground-view, (White, Cross), (Center-of, Screen)), (Background-view, Black),Description/A white fixation cross on a black background in the center of the screen.))'; -eInfoDesc.hed_def_sensory.('HED').('Face_image_def') = '(Definition/Face-image, (Visual, (Foreground-view, ((Image, Face, Hair), Color/Achromatic), ((White, Cross), (Center-of, Screen))), (Background-view, Black), Description/A happy or neutral face in frontal or three-quarters frontal pose with long hair cropped presented as an achromatic foreground image on a black background with a white fixation cross superposed.))'; -eInfoDesc.hed_def_sensory.('HED').('Circle_only_def') = '(Definition/Circle-only, (Visual, (Foreground-view, ((White, Circle), (Center-of, Screen))), (Background-view, Black), Description/A white circle on a black background in the center of the screen.))'; - -eInfoDesc.hed_def_actions.Description = 'Metadata dictionary for gathering participant action definitions'; -eInfoDesc.hed_def_actions.('HED').('Press_left_finger_def') = '(Definition/Press-left-finger, (Experimental-participant, (Index-finger, Left-side), (Press, Keyboard-key), Description/The participant presses a key with the left index finger to indicate a face symmetry judgment.))'; -eInfoDesc.hed_def_actions.('HED').('Press_right_finger_def') = '((Definition/Press-right-finger, (Experimental-participant, (Index-finger, Right-side), (Press, Keyboard-key), Description/The participant presses a key with the right index finger to indicate a face symmetry evaluation.))'; - -eInfoDesc.hed_def_conds.Description = 'Metadata dictionary for gathering experimental condition definitions'; -eInfoDesc.hed_def_conds.('HED').('Famous_face_cond_def') = '(Definition/Famous-face-cond, (Experimental-condition, Label/Face-type, (Image, (Face, Famous)), Description/A face that should be recognized by the participants))'; -eInfoDesc.hed_def_conds.('HED').('Unfamiliar_face_cond_def') = '(Definition/Unfamiliar-face-cond, (Experimental-condition, Label/Face-type, (Image, (Face, Unfamiliar)), Description/A face that should not be recognized by the participants.))'; -eInfoDesc.hed_def_conds.('HED').('Scrambled_face_cond_def') = '(Definition/Scrambled-face-cond, (Experimental-condition,Label/Face-type, (Image, (Face, Disordered)), Description/A scrambled face image generated by taking face 2D FFT.))'; -eInfoDesc.hed_def_conds.('HED').('First_show_cond_def') = '(Definition/First-show-cond, (Experimental-condition, Label/Repetition-type, (First-item, Repetition/1), Description/Factor level indicating the first display of this face.))'; -eInfoDesc.hed_def_conds.('HED').('Immediate_repeat_cond_def') = '(Definition/Immediate-repeat-cond, (Experimental-condition,Label/Repetition-type, (Next-item, Repetition/2), Description/Factor level indicating this face was the same as previous one.))'; -eInfoDesc.hed_def_conds.('HED').('Delayed_repeat_cond_def') = '(Definition/Delayed-repeat-cond, (Experimental-condition, Label/Repetition-type, (Later-item, Repetition/2), Description/Factor level indicating face was seen 5 to 15 trials ago.))'; -eInfoDesc.hed_def_conds.('HED').('Left_sym_cond_def') = '(Definition/Left-sym-cond, (Experimental-condition, Label/Key-assignment, ((Button, Left-side), Symmetric), ((Button, Right-side), Asymmetric),Description/Left finger key press means above average symmetry.))'; -eInfoDesc.hed_def_conds.('HED').('Right_sym_cond_def') = '(Definition/Right-sym-cond, (Experimental-condition, Label/Key-assignment, ((Button, Right-side), (Behavioral-evidence, Symmetric)), ((Button, Left-side), (Behavioral-evidence, Asymmetric)), Description/Right finger key press means above average symmetry.))'; - -eInfoDesc.hed_def_tasks.Description = 'Metadata dictionary for gathering task definitions'; -eInfoDesc.hed_def_tasks.('HED').('Face_symmetry_evaluation_task_def') = '(Definition/Face-symmetry-evaluation-task, (Task, Experimental-participant, (Look, Face), (Discriminate, (Face, Symmetric)),(Press, Keyboard-key), Description/Evaluate degree of image symmetry and respond with key press evaluation.))'; -eInfoDesc.hed_def_tasks.('HED').('Blink_inhibition_task_def') = '(Definition/Blink-inhibition-task, (Task, Experimental-participant, Inhibit-blinks, Description/Don’t blink while the face image is displayed.))'; -eInfoDesc.hed_def_tasks.('HED').('Fixation_task_def') = '(Definition/Fixation-task, (Task, Experimental-participant, (Fixate, Cross), Description/Fixate on the cross at the screen center.))'; -eInfoDesc.hed_def_tasks.('HED').('Face_novelty_detection_task_def') = '(Definition/Face-novelty-detection-task, ((Task, Implicit), Experimental-participant, (Look, Face), (Detect, (Face, Novel)), Description/Recognize presentations of previously unseen face images-implicit task.))'; - -eInfoDesc.hed_def_setup.Description = 'Metadata dictionary for gathering setup definitions'; -eInfoDesc.hed_def_setup.('HED').('Initialize_recording_def') = '(Definition/Initialize-recording, (Description/Stuff and setup stuff.))'; - -% Event values -eInfoDesc.value.Description = 'Numerical event marker'; -eInfoDesc.value.Levels.x0 = 'Disappearance of face image and display of the interstimulus circle simultaneously'; -eInfoDesc.value.Levels.x5 = 'Initial presentation of famous face'; -eInfoDesc.value.Levels.x6 = 'Immediate repeated presentation of famous face'; -eInfoDesc.value.Levels.x7 = 'Delayed repeated presentation of famous face'; - -eInfoDesc.value.Levels.x13 = 'Initial presentation of unfamiliar face'; -eInfoDesc.value.Levels.x14 = 'Immediate repeated presentation of unfamiliar face'; -eInfoDesc.value.Levels.x15 = 'Delayed repeated presentation of unfamiliar face'; - -eInfoDesc.value.Levels.x17 = 'Initial presentation of scrambled face'; -eInfoDesc.value.Levels.x18 = 'Immediate repeated presentation of scrambled face'; -eInfoDesc.value.Levels.x19 = 'Delayed repeated presentation of scrambled face'; - -eInfoDesc.value.Levels.x256 = 'Left button press'; -eInfoDesc.value.Levels.x4096 = 'Right button press'; - -%% Content for README file -% ------------------------ -README = [ 'Multi-subject, multi-modal (sMRI+EEG) neuroimaging dataset' 10 ... - 'on face processing. Original data described at https://www.nature.com/articles/sdata20151' 10 ... - 'This is repackaged version of the EEG data in EEGLAB format. The data has gone through' 10 ... - 'minimal preprocessing including (see wh_extracteeg_BIDS.m):' 10 ... - '- Ignoring fMRI and MEG data (sMRI preserved for EEG source localization)' 10 ... - '- Extracting EEG channels out of the MEG/EEG fif data' 10 ... - '- Adding fiducials' 10 ... - '- Renaming EOG and EKG channels' 10 ... - '- Extracting events from event channel' 10 ... - '- Removing spurious events 5, 6, 7, 13, 14, 15, 17, 18 and 19' 10 ... - '- Removing spurious event 24 for subject 3 run 4' 10 ... - '- Renaming events taking into account button assigned to each subject' 10 ... - '- Correcting event latencies (events have a shift of 34 ms)' 10 ... - '- Resampling data to 250 Hz (this is a step that is done because' 10 ... - ' this dataset is used as tutorial for EEGLAB and need to be lightweight' 10 ... - '- Merging run 1 to 6' 10 ... - '- Removing event fields urevent and duration ' 10 ... - '- Filling up empty fields for events boundary and stim_file.' 10 ... - '- Saving as EEGLAB .set format' 10 10 ... - 'Ramon Martinez, Dung Truong, Kay Robbins, Scott Makeig, Arnaud Delorme (UCSD, La Jolla, CA, USA)' 10 ... - ]; - -%% Content for CHANGES file -% ------------------------ -CHANGES = sprintf([ 'Revision history for Face Recognition experiment by Wakeman-Henson\n\n' ... - 'version 1.0 - April 2021\n' ... - ' - Initial release of EEG data in this experiment for HED education purposes \n' ... - '\n' - ]); - -% ---------------------------------------| -tInfo.TaskName = 'FacePerception'; -tInfo.TaskDescription = sprintf(['Subjects viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs ' ... - 'of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. ' ... - 'Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each ' ... - 'stimulus, participants were asked to press one of two keys with either their left or right index ' ... - 'finger (assignment counter-balanced across participants). Their key-press was based on how symmetric ' ... - 'they regarded each image: pressing one or the other key depending whether they thought the image was ' ... - '''more'' or ''less symmetric'' than average.']); -tInfo.InstitutionAddress = '15 Chaucer Road, Cambridge, UK'; -tInfo.InstitutionName = 'MRC Cognition & Brain Sciences Unit'; - -% EEG-specific fields -% ---------------------------------------| -tInfo.EEGReference = 'nose'; -tInfo.EEGGround = 'left collar bone'; -tInfo.SamplingFrequency = 1100; -tInfo.PowerLineFrequency = 50; -tInfo.SoftwareFilters = struct('LowPassFilter', struct ('cutoff', '350 (Hz)')); -tInfo.EEGPlacementScheme = 'extended 10-10% system'; -tInfo.CapManufacturer = 'Easycap'; -tInfo.EEGChannelCount = 70; -tInfo.EOGChannelCount = 2; -tInfo.RecordingType = 'continuous'; - -% call to the export function -% --------------------------- -bids_export(subject, 'targetdir', path2bids, 'eInfo', eInfo, 'taskName', tInfo.TaskName, 'gInfo', generalInfo, 'pInfo', pInfo, 'pInfoDesc', pInfoDesc, 'eInfoDesc', eInfoDesc, 'README', README, 'CHANGES', CHANGES,'tInfo', tInfo,'codefiles',codefiles,'defaced', defacedflag,'anattype', anattype, 'copydata', 1); -copyfile(path2stimfiles, fullfile(path2bids, 'stimuli')); diff --git a/eeg_hed_small/code/wh_extracteeg_BIDS_HED.m b/eeg_hed_small/code/wh_extracteeg_BIDS_HED.m deleted file mode 100644 index ac12e7493..000000000 --- a/eeg_hed_small/code/wh_extracteeg_BIDS_HED.m +++ /dev/null @@ -1,341 +0,0 @@ -% Wakeman-Henson data EEG extraction from FIF files to be saved into BIDS -% format. -% -% Channel locatons are extracted and saved without modification. For use in EEGLAB is recomended to -% 1) Rotate the nose direction to match the +Y axes. For this use: EEG = pop_chanedit(EEG,'nosedir','+Y'); -% This line is commented below -% 2) Recompute the center of the electrode coordinates -% For this use: EEG = pop_chanedit(EEG, 'eval','chans = pop_chancenter( chans, [],[])'); -% This line is commented below -% -% Authors: Ramon Martinez-Cancino, SCCN, 2019 -% Arnaud Delorme, SCCN, 2019 -% Dung Truong, SCCN, 2019 -% -% Copyright (C) 2019 Ramon Martinez-Cancino,INC, SCCN -% -% This program is free software; you can redistribute it and/or modify -% it under the terms of the GNU General Public License as published by -% the Free Software Foundation; either version 2 of the License, or -% (at your option) any later version. -% -% This program is distributed in the hope that it will be useful, -% but WITHOUT ANY WARRANTY; without even the implied warranty of -% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -% GNU General Public License for more details. -% -% You should have received a copy of the GNU General Public License -% along with this program; if not, write to the Free Software -% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA -% script folder, this must be updated to the files on your enviroment. -clear; % clearing all is recommended to avoid variable not being erased between calls -currentPath = fileparts( which('wh_extracteeg_BIDS') ); -path2code = currentPath; - -% path2data = fullfile(currentPath, 'ds117'); % Arno's path -path2data = '/data/projects/WakemanHensonData/r00_rawdata/rawdata_unzip'; % Path to the original unzipped data files - -% path2stim = fullfile(currentPath, 'face_images'); -path2stim = '/data/projects/WakemanHensonData/r00_rawdata/ds117_R0.1.1_metadata/stimuli/meg'; - -path2save = fullfile(fileparts(currentPath), 'ds117forbids-HED'); % Arno's path -% path2save = fullfile(fileparts(fileparts(currentPath)), 'ds117forbids'); - -dInfo; % load dataset information (datInfo) -% addpath('/data/projects/BIDSfiles/HED-wakeman-henson/code/eeglab-lite'); -[ALLEEG, EEG, CURRENTSET] = eeglab; % start EEGLAB - -if ~exist(path2data,'dir'), error('Data folder not found, edit script to indicate data location'); end -if ~exist(path2save,'dir'), mkdir(path2save); end % check if folders exist -if ~exist('ft_read_data','file'), error('You must install the File-IO plugin'); end - -% Copy stimulus file (This can be done with command 'dir' but there may be tons of hidden files, then we'll need more code to filter out this files) -files1 = dir(fullfile(path2stim,'f*.bmp')); -files2 = dir(fullfile(path2stim,'s*.bmp')); -files3 = dir(fullfile(path2stim,'u*.bmp')); -allstimfiles = [files1 ;files2 ;files3]; -mkdir(fullfile(fileparts(fileparts(currentPath)), 'faces_images')); -for i = 1:length(allstimfiles) - copyfile(fullfile(allstimfiles(i).folder, allstimfiles(i).name),fullfile(fileparts(fileparts(currentPath)), 'faces_images')); -end - - -% Extract EEG data from the FIF file and importing it to EEGLAB -parfor isubj = 2:length(datInfo) % Loop accross subjects (Subject 0001 was taken out of the analysis) - ALLEEG = []; CURRENTSET = 0; % Initializing/clearing variables for each subject in the loop - - for irun = 1:6 % Loop accross runs - - % Step 1: Importing data with FileIO - EEG = pop_fileio(fullfile(path2data, datInfo(isubj).name,'MEG',['run_0' num2str(irun) '_raw.fif'])); - - % Step 2: Selecting EEG data and event (STI101) channels - % EEG channels 1-60 are EEG, as are 65-70, but channels 61-64 are actually HEOG, VEOG and two floating channels (EKG). - eeg_mask = cellfun(@(x) logical(~isempty(x)), regexp({EEG.chanlocs.labels},'EEG.*')); - meg_mask = cellfun(@(x) logical(~isempty(x)), regexp({EEG.chanlocs.labels},'MEG.*')); - stim_chan_mask = strcmp({EEG.chanlocs.labels},'STI101'); - selected_chans = find(eeg_mask | meg_mask | stim_chan_mask); -% EEGtest = pop_select(EEG, 'channel', {'EEG001' 'EEG002' 'EEG003' 'EEG004' 'EEG005' 'EEG006' 'EEG007' 'EEG008' 'EEG009' 'EEG010' 'EEG011' 'EEG012' 'EEG013' 'EEG014' 'EEG015'... -% 'EEG016' 'EEG017' 'EEG018' 'EEG019' 'EEG020' 'EEG021' 'EEG022' 'EEG023' 'EEG024' 'EEG025' 'EEG026' 'EEG027' 'EEG028' 'EEG029' 'EEG030'... -% 'EEG031' 'EEG032' 'EEG033' 'EEG034' 'EEG035' 'EEG036' 'EEG037' 'EEG038' 'EEG039' 'EEG040' 'EEG041' 'EEG042' 'EEG043' 'EEG044' 'EEG045'... -% 'EEG046' 'EEG047' 'EEG048' 'EEG049' 'EEG050' 'EEG051' 'EEG052' 'EEG053' 'EEG054' 'EEG055' 'EEG056' 'EEG057' 'EEG058' 'EEG059' 'EEG060'... -% 'EEG061' 'EEG062' 'EEG063' 'EEG064' 'EEG065' 'EEG066' 'EEG067' 'EEG068' 'EEG069' 'EEG070' 'EEG071' 'EEG072' 'EEG073' 'EEG074' 'STI101'}); - EEG = pop_select(EEG, 'channel', selected_chans); - % Correcting channel type to be EEG - for ichan = 1:length(EEG.chanlocs)-1 % ignoring STI101 - if isempty(regexp(EEG.chanlocs(ichan).labels,'MEG.*','once')) - EEG = pop_chanedit(EEG,'changefield',{ichan 'type' 'EEG'}); - else - EEG = pop_chanedit(EEG,'changefield',{ichan 'type' 'MEG'}); - end - end - - % Correcting reference label - EEG.ref = 'nose'; - - % Step 3: Adding fiducials and rotating montage. Note:The channel location from this points were extracted from the FIF - % files (see below) and written in the dInfo file. The reason is that File-IO does not import these coordinates. - EEG = pop_chanedit(EEG,'append',{length(EEG.chanlocs) 'LPA' [] [] datInfo(isubj).fid(1,1) datInfo(isubj).fid(1,2) datInfo(isubj).fid(1,3) [] [] [] 'FID' '' [] 0 [] []}); - EEG = pop_chanedit(EEG,'append',{length(EEG.chanlocs) 'Nz' [] [] datInfo(isubj).fid(2,1) datInfo(isubj).fid(2,2) datInfo(isubj).fid(2,3) [] [] [] 'FID' '' [] 0 [] []}); - EEG = pop_chanedit(EEG,'append',{length(EEG.chanlocs) 'RPA' [] [] datInfo(isubj).fid(3,1) datInfo(isubj).fid(3,2) datInfo(isubj).fid(3,3) [] [] [] 'FID' '' [] 0 [] []}); - %EEG = pop_chanedit(EEG,'nosedir','+Y'); % Not used here - - % Changing Channel types and removing channel locations for channels 61-64 (Raw data types are incorrect) - EEG = pop_chanedit(EEG,'changefield',{find(strcmp({EEG.chanlocs.labels}, 'EEG061')) 'type' 'HEOG' 'X' [] 'Y' [] 'Z' [] 'theta' [] 'radius' [] 'sph_theta' [] 'sph_phi' [] 'sph_radius' []}); - EEG = pop_chanedit(EEG,'changefield',{find(strcmp({EEG.chanlocs.labels}, 'EEG062')) 'type' 'VEOG' 'X' [] 'Y' [] 'Z' [] 'theta' [] 'radius' [] 'sph_theta' [] 'sph_phi' [] 'sph_radius' []}); - EEG = pop_chanedit(EEG,'changefield',{find(strcmp({EEG.chanlocs.labels}, 'EEG063')) 'type' 'EKG' 'X' [] 'Y' [] 'Z' [] 'theta' [] 'radius' [] 'sph_theta' [] 'sph_phi' [] 'sph_radius' []}); - EEG = pop_chanedit(EEG,'changefield',{find(strcmp({EEG.chanlocs.labels}, 'EEG064')) 'type' 'EKG' 'X' [] 'Y' [] 'Z' [] 'theta' [] 'radius' [] 'sph_theta' [] 'sph_phi' [] 'sph_radius' []}); - - % Recomputing head center % Not used here - % EEG = pop_chanedit(EEG, 'eval','chans = pop_chancenter( chans, [],[])'); - - % Step 4: Re-import events from STI101 channel (the original ones are incorect) - stim_chan_index = find(strcmp({EEG.chanlocs.labels}, 'STI101')); - EEG = pop_chanevent(EEG, stim_chan_index,'edge','leading','edgelen',datInfo(isubj).edgelenval,'delevent','on','delchan','off','oper','double(bitand(int32(X),31))'); % first 5 bits - - % Step 5: Cleaning artefactual events (keep only valid event codes) - EEG = pop_selectevent( EEG, 'type',[5 6 7 13 14 15 17 18 19],'deleteevents','on'); -% EEG = pop_selectevent( EEG, 'type',[arrayfun(@num2str,[5 6 7 13 14 15 17 18 19],'UniformOutput',false) 'circle'] ,'deleteevents','on'); - if isubj== 3 && irun == 4, EEG = pop_editeventvals(EEG, 'delete', 24); end - - % Step 6: Importing info from image presented into event structure - EEG = pop_importevent(EEG, 'skipline', 1, 'fields', {'stimtype' 'nested' 'ignore' 'imgcode' 'imgfile' }, 'event', fullfile(path2data, datInfo(isubj).name,'MEG',[datInfo(isubj).name '_' num2str(irun) '.txt'])); - - % Circle onset - EEG = pop_chanevent(EEG, stim_chan_index,'edge','trailing','edgelen',datInfo(isubj).edgelenval,'delevent','off','delchan','off','nbtype',1,'typename','0','oper','double(bitand(int32(X),31))'); % first 5 bits - - % Step 7:Importing button press info - EEG = pop_chanevent(EEG, stim_chan_index,'edge','leading','edgelen',datInfo(isubj).edgelenval, 'delevent','off','delchan','off','oper','double(bitand(int32(X),8160))'); % bits 5 to 13 - - % Step 8: Event manipulation (not necessary in standard analysis) - % Here fixing overlapped buttonpressing events - event4352 = find([EEG.event.type]==4352); % overlapping of events 256 and 4096 - if ~isempty(event4352) - for ievt =1: length(event4352) - event4352_1 = find([EEG.event.type]==4352,1); - if EEG.event(event4352_1 - 1).type == 256 || EEG.event(event4352_1 - 1).type == 4096 - EEG = pop_editeventvals( EEG,'changefield', { event4352_1 'type' 4352-EEG.event(event4352_1 -1).type}); - else - EEG = pop_editeventvals( EEG, 'delete', event4352_1); - end - end - end - - % Renaming, adding and removing event fields - % EEG = pop_editeventfield( EEG, 'rename', 'imgcode->stim_file'); % Note: Code kept for further analysis. DO NOT USE - EEG = pop_editeventfield( EEG, 'rename', 'imgfile->stim_file'); - EEG = pop_editeventfield( EEG,'rename', 'ignore->face_type'); -% EEG = pop_editeventfield( EEG,'rename', 'ignore->event_type'); - EEG = pop_editeventfield( EEG, 'nested', [], 'stimtype',[],'imgcode', [], 'trigger', {EEG.event.type}); - - % Renaming button press events in field event type -% EEG = pop_selectevent( EEG, 'type',256, 'renametype',datInfo(isubj).event256 ,'deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',4096,'renametype',datInfo(isubj).event4096,'deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',256, 'renametype','left_press' ,'deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',4096,'renametype','right_press','deleteevents','off'); -% -% % Updating field stimtype for the button press event -% indx1 = find(strcmp({EEG.event.type}, 'right_finger')); -% indx2 = find(strcmp({EEG.event.type}, 'left_finger')); -% allindx = sort([indx1, indx2]); -% -% for iButton = 1:length(allindx) -% EEG = pop_editeventvals( EEG,'changefield', { allindx(iButton) 'event_type' 'button_press'}); -% end - - % Rename face presentation events -% EEG = pop_selectevent( EEG, 'type',5,'renametype','famous_new','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',6,'renametype','famous_second_early','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',7,'renametype','famous_second_late','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',13,'renametype','unfamiliar_new','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',14,'renametype','unfamiliar_second_early','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',15,'renametype','unfamiliar_second_late','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',17,'renametype','scrambled_new','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',18,'renametype','scrambled_second_early','deleteevents','off'); -% EEG = pop_selectevent( EEG, 'type',19,'renametype','scrambled_second_late','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',0,'renametype','show_circle','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',5,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',6,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',7,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',13,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',14,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',15,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',17,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',18,'renametype','show_face','deleteevents','off'); - EEG = pop_selectevent( EEG, 'type',19,'renametype','show_face','deleteevents','off'); - - % Time and trial distance between face presentation events - EEG = pop_editeventfield( EEG, 'trial_dist','0'); - EEG = pop_editeventfield( EEG, 'time_dist' ,'0'); - myevents = arrayfun(@num2str,[ 5 6 7 13 14 15 17 18 19], 'UniformOutput', false); -% allevents = [EEG.event.value]; % Retreiving events indices - allevents = [EEG.event.trigger]; % Retreiving events indices - indx2insert = find(ismember(allevents, myevents)); - - for ievents = 1 : length(indx2insert) -% if ~ismember(EEG.event(indx2insert(ievents)).value,[5 13 17]) && ievents ~= 1 - if ~ismember(EEG.event(indx2insert(ievents)).trigger,{'5' '13' '17'}) && ievents ~= 1 - tmpeventlist = indx2insert(1:ievents-1); - tmpevent = EEG.event(indx2insert(ievents)).stim_file; - allprev_event = find(~cellfun(@isempty,strfind({EEG.event(tmpeventlist).stim_file},tmpevent))); - - if ~isempty(allprev_event) - timedist = (EEG.event(indx2insert(ievents)).latency - EEG.event(tmpeventlist(allprev_event(end))).latency)/EEG.srate; - trialdist = (length(tmpeventlist)-allprev_event(end)) + 1; - - EEG = pop_editeventvals(EEG,'changefield',{indx2insert(ievents) 'trial_dist' trialdist}); - EEG = pop_editeventvals(EEG,'changefield',{indx2insert(ievents) 'time_dist' timedist}); - end - end - end - - % Presentation order - EEG = pop_editeventfield( EEG, 'event_order','0'); - uniquefaces = unique({EEG.event.stim_file}); - for ievents =1: length(uniquefaces) - evtindx = find(~cellfun(@isempty,strfind({EEG.event.stim_file},uniquefaces(ievents)))); - if ~isempty(evtindx) - for i=1:length(evtindx) - EEG = pop_editeventvals(EEG,'changefield',{evtindx(i) 'event_order' i}); - end - end - end - - % Repetition type condition - EEG = pop_editeventfield( EEG, 'repetition_type','n/a'); - for ievents=1:length(EEG.event) - if EEG.event(ievents).event_order == 1 - EEG = pop_editeventvals(EEG,'changefield',{ievents 'repetition_type' 'first_show'}); - elseif EEG.event(ievents).event_order == 2 - if EEG.event(ievents).trial_dist == 1 - EEG = pop_editeventvals(EEG,'changefield',{ievents 'repetition_type' 'immediate_repeat'}); - elseif EEG.event(ievents).trial_dist > 1 - EEG = pop_editeventvals(EEG,'changefield',{ievents 'repetition_type' 'delayed_repeat'}); - end - end - end - - % Face type - EEG = pop_editeventfield( EEG, 'face_type','n/a'); - for i=1:length(allevents) - % Type of face - if strcmp(EEG.event(i).trigger, '5') || strcmp(EEG.event(i).trigger, '6') || strcmp(EEG.event(i).trigger, '7') - evttmp = 'famous_face'; - elseif strcmp(EEG.event(i).trigger, '13') || strcmp(EEG.event(i).trigger, '14') || strcmp(EEG.event(i).trigger, '15') - evttmp = 'unfamiliar_face'; - elseif strcmp(EEG.event(i).trigger, '17') || strcmp(EEG.event(i).trigger, '18') || strcmp(EEG.event(i).trigger, '19') - evttmp = 'scrambled_face'; - else - evttmp = 'n/a'; - end - - EEG = pop_editeventvals(EEG,'changefield',{i 'face_type' evttmp}); - end - - - % Updating path to stimulus - for ievt =1: length(indx2insert) - [path2stim,filename, fileext] = fileparts(EEG.event(indx2insert(ievt)).stim_file); - EEG = pop_editeventvals(EEG,'changefield',{indx2insert(ievt) 'stim_file' [filename, fileext]}); - end - - % Add fixation-cross events 1700ms after circle onset - nevents = length(EEG.event); - for index = 1 : nevents - if ischar(EEG.event(index).type) && strcmpi(EEG.event(index).type, 'show_circle') - % Add events relative to existing events - EEG.event(end+1) = EEG.event(index); % Add event to end of event list - % Specifying the event latency to be 1.7 sec after the referent event (in real data points) - EEG.event(end).latency = EEG.event(index).latency + 1.7*EEG.srate; - EEG.event(end).type = 'show_cross'; % Make the type of the new event cue - EEG.event(end).trigger = {'n/a'}; % Mark that cross events doesn't exist in actual trigger channel - EEG.event(end).stim_file = 'cross.bmp'; - end - end - EEG = eeg_checkset(EEG, 'eventconsistency'); % Check all events for consistency - - % Step 9: Correcting event latencies (events have a shift of 34 ms) - EEG = pop_adjustevents(EEG,'addms',34); - - % Remove/rename event fields - EEG = pop_editeventfield( EEG, 'urevent',[], 'duration', [], 'event_order', [], 'trial_dist', [], 'time_dist', []); - - % Correct and fill up empty fields for event 'stim_file' - for iEvent = 1:length(EEG.event) - if ischar(EEG.event(iEvent).type) && strcmpi(EEG.event(iEvent).type, 'show_circle') - EEG.event(iEvent).stim_file = 'circle.bmp'; - end - if isempty(EEG.event(iEvent).stim_file) - EEG.event(iEvent).stim_file = 'n/a'; -% else -% EEG.event(iEvent).stim_file = EEG.event(iEvent).stim_file(14:end); - end - end - % Step 10: Replacing original imported channels - % Note: This is a very unusual step that should not be done lightly. The reason here is because - % of the original channels were wrongly labeled at the time of the experiment - EEG = pop_chanedit(EEG, 'rplurchanloc',1); - - % Step 11: Resample the data to 250Hz - EEG = pop_resample( EEG, 250); - - % Add setup event at beginning of the event file - EEG.event(end+1) = EEG.event(1); - EEG.event(end).latency = 1; - EEG.event(end).type = 'setup'; - EEG.event(end).face_type = 'n/a'; - EEG.event(end).repetition_type = 'n/a'; - EEG.event(end).trigger = {'n/a'}; - EEG.event(end).stim_file = 'n/a'; - - EEG.event(end+1) = EEG.event(1); - EEG.event(end).latency = 1; - if strcmp(datInfo(isubj).event256,'left_nonsym') - EEG.event(end).type = 'right_sym'; - elseif strcmp(datInfo(isubj).event256,'left_sym') - EEG.event(end).type = 'left_sym'; - end - EEG.event(end).face_type = 'n/a'; - EEG.event(end).repetition_type = 'n/a'; - EEG.event(end).trigger = {'n/a'}; - EEG.event(end).stim_file = 'n/a'; - EEG = eeg_checkset(EEG, 'eventconsistency'); - - % Step 12: Creating subject folder if does not exist and save dataset - if ~exist(fullfile(path2save,datInfo(isubj).name), 'dir'), mkdir(path2save,datInfo(isubj).name); end - -% % Step 13: storing run into ALLEEG -% ALLEEG = eeg_store(ALLEEG, EEG); - % Saving data - % Saving concatenated runs using.set format - if ~exist(fullfile(path2save,datInfo(isubj).name, 'SET'),'dir'), mkdir(fullfile(path2save,datInfo(isubj).name), 'SET'); end - pop_saveset(EEG, 'filename', ['ds000117_' datInfo(isubj).name '_run-' num2str(irun) '.set'], 'filepath', fullfile(path2save,datInfo(isubj).name, 'SET')); - - % % Saving MRI anat - if ~exist(fullfile(path2save,datInfo(isubj).name, 'anat'),'dir'), mkdir(fullfile(path2save,datInfo(isubj).name), 'anat'); end - copyfile(fullfile(path2data,datInfo(isubj).name, 'anatomy', 'highres001.nii.gz'),fullfile(path2save,datInfo(isubj).name, 'anat', ['anat_' datInfo(isubj).name '.nii.gz']),'f') - end -end - - - diff --git a/eeg_hed_small/dataset_description.json b/eeg_hed_small/dataset_description.json deleted file mode 100644 index edae68970..000000000 --- a/eeg_hed_small/dataset_description.json +++ /dev/null @@ -1,17 +0,0 @@ -{ - "Name": "Face processing MEEG dataset with HED annotation", - "BIDSVersion": "v1.6.0", - "HEDVersion": "8.0.0", - "License": "CC0", - "Authors": [ - "Daniel G. Wakeman", - "Richard N Henson" - ], - "ReferencesAndLinks": [ - "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1", "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021, May 7). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). BioRxiv, 2021.05.06.442841. https://doi.org/10.1101/2021.05.06.442841" - ], - "Funding": [ - "This work was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd." - ], - "DatasetDOI": "10.18112/openneuro.ds003645.v1.0.0" -} \ No newline at end of file diff --git a/eeg_hed_small/stimuli/f001.bmp b/eeg_hed_small/stimuli/f001.bmp deleted file mode 100644 index 75d6af313..000000000 Binary files a/eeg_hed_small/stimuli/f001.bmp and /dev/null differ diff --git a/eeg_hed_small/stimuli/f002.bmp b/eeg_hed_small/stimuli/f002.bmp deleted file mode 100644 index e05b274de..000000000 Binary files a/eeg_hed_small/stimuli/f002.bmp and /dev/null differ diff --git a/eeg_hed_small/stimuli/f003.bmp b/eeg_hed_small/stimuli/f003.bmp deleted file mode 100644 index 36755dfb5..000000000 Binary files a/eeg_hed_small/stimuli/f003.bmp and /dev/null differ diff --git a/eeg_hed_small/stimuli/f004.bmp b/eeg_hed_small/stimuli/f004.bmp deleted file mode 100644 index 90b6124a0..000000000 Binary 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a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv b/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv deleted file mode 100644 index 012dbfb8b..000000000 --- a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv +++ /dev/null @@ -1,518 +0,0 @@ -onset duration sample event_type face_type repetition_type trial trial_lag trigger stim_file -0.004 n/a 1.0 setup n/a n/a n/a n/a n/a n/a -0.004 n/a 1.0 right_sym n/a n/a n/a n/a n/a n/a -25.696181818200003 n/a 6424.0455 show_face scrambled_face first_show 1 n/a 17 s096.bmp -26.5616363636 n/a 6640.4091 show_circle n/a n/a 1 n/a 0 circle.bmp -28.2616363636 n/a 7065.4091 show_cross n/a n/a 2 n/a n/a cross.bmp -28.8870909091 n/a 7221.7727 show_face famous_face first_show 2 n/a 5 f148.bmp -29.771636363600003 n/a 7442.9091 right_press n/a n/a 2 n/a 4096 n/a -29.9052727273 n/a 7476.3182 show_circle n/a n/a 2 n/a 0 circle.bmp -31.6052727273 n/a 7901.3182 show_cross n/a n/a 3 n/a n/a 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cross.bmp diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_events.tsv b/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_events.tsv deleted file mode 100644 index 81344731c..000000000 --- a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-4_events.tsv +++ /dev/null @@ -1,534 +0,0 @@ -onset duration sample event_type face_type repetition_type trial trial_lag trigger stim_file -0.004 n/a 1.0 setup n/a n/a n/a n/a n/a n/a -0.004 n/a 1.0 right_sym n/a n/a n/a n/a n/a n/a -24.3352727273 n/a 6083.8182 show_face unfamiliar_face first_show 1 n/a 13 u124.bmp -25.1889090909 n/a 6297.2273 show_circle n/a n/a 1 n/a 0 circle.bmp -26.8889090909 n/a 6722.2273 show_cross n/a n/a 2 n/a n/a cross.bmp -27.3752727273 n/a 6843.8182 show_face famous_face first_show 2 n/a 5 f125.bmp -28.057090909099998 n/a 7014.2727 right_press n/a n/a 2 n/a 4096 n/a -28.356181818200003 n/a 7089.0455 show_circle n/a n/a 2 n/a 0 circle.bmp -30.056181818200002 n/a 7514.0455 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during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", - "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", - "InstitutionName": "MRC Cognition & Brain Sciences Unit", - "EEGReference": "nose", - "EEGGround": "left collar bone", - "SamplingFrequency": 250, - "PowerLineFrequency": 50, - "SoftwareFilters": { - "LowPassFilter": { - "cutoff": "350 (Hz)" - } - }, - "EEGPlacementScheme": "extended 10-10% system", - "CapManufacturer": "Easycap", - "EEGChannelCount": 70, - "EOGChannelCount": 2, - "RecordingType": "continuous", - "MiscChannelCount": 309, - "RecordingDuration": 500, - "ECGChannelCount": 0, - "EMGChannelCount": 0 -} \ No newline at end of file diff --git a/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-6_events.tsv b/eeg_hed_small/sub-002/eeg/sub-002_task-FacePerception_run-6_events.tsv deleted file mode 100644 index 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viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", - "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", - "InstitutionName": "MRC Cognition & Brain Sciences Unit", - "EEGReference": "nose", - "EEGGround": "left collar bone", - "SamplingFrequency": 250, - "PowerLineFrequency": 50, - "SoftwareFilters": { - "LowPassFilter": { - "cutoff": "350 (Hz)" - } - }, - "EEGPlacementScheme": "extended 10-10% system", - "CapManufacturer": "Easycap", - "EEGChannelCount": 70, - "EOGChannelCount": 2, - "RecordingType": "continuous", - "MiscChannelCount": 309, - "RecordingDuration": 503, - "ECGChannelCount": 0, - "EMGChannelCount": 0 -} \ No newline at end of file diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-4_events.tsv b/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-4_events.tsv deleted file mode 100644 index b3de266ad..000000000 --- a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-4_events.tsv +++ /dev/null @@ -1,588 +0,0 @@ -onset duration sample event_type face_type repetition_type trial trial_lag trigger stim_file -0.004 n/a 1.0 setup n/a n/a n/a n/a n/a n/a -0.004 n/a 1.0 right_sym n/a n/a n/a n/a n/a n/a -24.791636363600002 n/a 6197.9091 show_face unfamiliar_face first_show 1 n/a 13 u025.bmp -25.343454545500002 n/a 6335.8636 left_press n/a n/a 1 n/a 256 n/a -25.7798181818 n/a 6444.9545 show_circle n/a n/a 1 n/a 0 circle.bmp -27.4798181818 n/a 6869.9545 show_cross n/a n/a 2 n/a n/a cross.bmp -27.9825454545 n/a 6995.6364 show_face unfamiliar_face immediate_repeat 2 1 14 u025.bmp -28.5261818182 n/a 7131.5455 left_press n/a n/a 2 n/a 256 n/a -28.896181818200002 n/a 7224.0455 show_circle n/a n/a 2 n/a 0 circle.bmp -30.5961818182 n/a 7649.0455 show_cross n/a n/a 3 n/a n/a cross.bmp -31.1734545455 n/a 7793.3636 show_face scrambled_face first_show 3 n/a 17 s146.bmp -31.768 n/a 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148 n/a 256 n/a -491.5689090909 n/a 122892.2273 show_circle n/a n/a 148 n/a 0 circle.bmp -493.26890909089997 n/a 123317.2273 show_cross n/a n/a 149 n/a n/a cross.bmp diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_eeg.json b/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_eeg.json deleted file mode 100644 index fd1cac11e..000000000 --- a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_eeg.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "TaskName": "FacePerception", - "TaskDescription": "Subjects viewed stimuli on a screen during six, 7.5 minute runs. The stimuli were photographs of either a famous face (known to most of British or a scrambled face, and appeared for a random duration between 800 and 1,000 ms. Subjects were instructed to fixate centrally throughout the experiment. To ensure attention to each stimulus, participants were asked to press one of two keys with either their left or right index finger (assignment counter-balanced across participants). Their key-press was based on how symmetric they regarded each image: pressing one or the other key depending whether they thought the image was 'more' or 'less symmetric' than average.", - "InstitutionAddress": "15 Chaucer Road, Cambridge, UK", - "InstitutionName": "MRC Cognition & Brain Sciences Unit", - "EEGReference": "nose", - "EEGGround": "left collar bone", - "SamplingFrequency": 250, - "PowerLineFrequency": 50, - "SoftwareFilters": { - "LowPassFilter": { - "cutoff": "350 (Hz)" - } - }, - "EEGPlacementScheme": "extended 10-10% system", - "CapManufacturer": "Easycap", - "EEGChannelCount": 70, - "EOGChannelCount": 2, - "RecordingType": "continuous", - "MiscChannelCount": 309, - "RecordingDuration": 490, - "ECGChannelCount": 0, - "EMGChannelCount": 0 -} \ No newline at end of file diff --git a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_events.tsv b/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_events.tsv deleted file mode 100644 index 0db6b6cfb..000000000 --- a/eeg_hed_small/sub-003/eeg/sub-003_task-FacePerception_run-6_events.tsv +++ /dev/null @@ -1,592 +0,0 @@ -onset duration sample event_type face_type repetition_type trial trial_lag trigger stim_file -0.004 n/a 1.0 setup n/a n/a n/a n/a n/a n/a -0.004 n/a 1.0 right_sym n/a n/a n/a n/a n/a n/a -23.971636363600002 n/a 5992.9091 show_face famous_face first_show 1 n/a 5 f140.bmp -24.5898181818 n/a 6147.4545 right_press n/a n/a 1 n/a 4096 n/a -24.9252727273 n/a 6231.3182 show_circle n/a n/a 1 n/a 0 circle.bmp -26.6252727273 n/a 6656.3182 show_cross n/a n/a 2 n/a n/a cross.bmp -27.179818181799998 n/a 6794.9545 show_face famous_face immediate_repeat 2 1 6 f140.bmp -27.5707272727 n/a 6892.6818 right_press n/a n/a 2 n/a 4096 n/a -28.0243636364 n/a 7006.0909 show_circle n/a n/a 2 n/a 0 circle.bmp -29.7243636364 n/a 7431.0909 show_cross n/a n/a 3 n/a n/a cross.bmp -30.3870909091 n/a 7596.7727 show_face scrambled_face first_show 3 n/a 17 s064.bmp -30.9552727273 n/a 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122392.9091 show_cross n/a n/a 149 n/a n/a cross.bmp diff --git a/eeg_hed_small/task-FacePerception_events.json b/eeg_hed_small/task-FacePerception_events.json deleted file mode 100644 index 9de53161b..000000000 --- a/eeg_hed_small/task-FacePerception_events.json +++ /dev/null @@ -1,132 +0,0 @@ -{ - "onset": { - "Description": "Duration of the event in seconds.", - "Units": "s" - }, - "event_type": { - "LongName": "Event category", - "Description": "The main category of the event.", - "Levels": { - "show_face": "Display a face to mark end of pre-stimulus and start of blink-inhibition.", - "show_circle": "Display a white circle to mark end of the stimulus and blink inhibition.", - "show_cross": "Display only a white cross to mark start of trial and fixation.", - "left_press": "Experiment participant presses a key with left index finger.", - "right_press": "Experiment participant presses a key with right index finger.", - "left_sym": "Pressing key with left index finger means a face with above average symmetry.", - "right_sym": "Pressing key with right index finger means a face with above average symmetry.", - "setup": "Mark start of experiment and document applicable metadata.", - "double_press": "Experiment participant presses both keys ." - }, - "HED": { - "show_face": "Sensory-event, Experimental-stimulus, (Def/Face-image, Onset), (Def/Blink-inhibition-task,Onset),(Def/Cross-only, Offset)", - "show_circle": "Sensory-event, (Intended-effect, Cue), (Def/Circle-only, Onset), (Def/Face-image, Offset), (Def/Blink-inhibition-task, Offset), (Def/Fixation-task, Offset)", - "show_cross": "Sensory-event, (Intended-effect, Cue), (Def/Cross-only, Onset), (Def/Fixation-task, Onset), (Def/Circle-only, Offset)", - "left_press": "Agent-action, Participant-response, Def/Press-left-finger", - "right_press": "Agent-action, Participant-response, Def/Press-right-finger", - "left_sym": "Experiment-structure, (Def/Left-sym-cond, Onset)", - "right_sym": "Experiment-structure, (Def/Right-sym-cond, Onset)", - "setup": "Experiment-structure, (Def/Initialize-recording, Onset)", - "double_press": "Agent-action, Indeterminate-action, (Press, Keyboard-key)" - } - }, - "face_type": { - "Description": "Factor indicating type of face image being displayed.", - "Levels": { - "famous_face": "A face that should be recognized by the participants.", - "unfamiliar_face": "A face that should not be recognized by the participants.", - "scrambled_face": "A scrambled face image generated by taking face 2D FFT." - }, - "HED": { - "famous_face": "Def/Famous-face-cond", - "unfamiliar_face": "Def/Unfamiliar-face-cond", - "scrambled_face": "Def/Scrambled-face-cond" - } - }, - "repetition_type": { - "Description": "Factor indicating whether this image has been already seen.", - "Levels": { - "first_show": "Factor level indicating the first display of this face.", - "immediate_repeat": "Factor level indicating this face was the same as previous one.", - "delayed_repeat": "Factor level indicating face was seen 5 to 15 trials ago." - }, - "HED": { - "first_show": "Def/First-show-cond", - "immediate_repeat": "Def/Immediate-repeat-cond", - "delayed_repeat": "Def/Delayed-repeat-cond" - } - }, - "trial": { - "Description": "Indicates which trial this event belongs to.", - "HED": "Experimental-trial/#" - }, - "trial_lag": { - "Description": "How many trials before this trial the image was previously presented.", - "HED": "(Parameter-label/Trial-lag, Item-interval/#)" - }, - "stim_file": { - "Description": "Path of the stimulus file in the stimuli directory.", - "HED": "(Image, Pathname/#)" - }, - "hed_def_sensory": { - "Description": "Metadata dictionary for gathering sensory definitions", - "HED": { - "cross_only_def": "(Definition/Cross-only, (Visual-presentation, (Foreground-view, (White, Cross), (Center-of, Computer-screen)), (Background-view, Black), Description/A white fixation cross on a black background in the center of the screen.))", - "face_image_def": "(Definition/Face-image, (Visual-presentation, (Foreground-view, ((Image, Face, Hair), Color/Grayscale), ((White, Cross), (Center-of, Computer-screen))), (Background-view, Black), Description/A happy or neutral face in frontal or three-quarters frontal pose with long hair cropped presented as an achromatic foreground image on a black background with a white fixation cross superposed.))", - "circle_only_def": "(Definition/Circle-only, (Visual-presentation, (Foreground-view, ((White, Circle), (Center-of, Computer-screen))), (Background-view, Black), Description/A white circle on a black background in the center of the screen.))" - } - }, - "hed_def_actions": { - "Description": "Metadata dictionary for gathering participant action definitions", - "HED": { - "press_left_finger_def": "(Definition/Press-left-finger, ((Index-finger, (Left-side-of, Experiment-participant)), (Press, Keyboard-key), Description/The participant presses a key with the left index finger to indicate a face symmetry judgment.))", - "press_right_finger_def": "(Definition/Press-right-finger, ((Index-finger, (Right-side-of, Experiment-participant)), (Press, Keyboard-key), Description/The participant presses a key with the right index finger to indicate a face symmetry evaluation.))" - } - }, - "hed_def_conds": { - "Description": "Metadata dictionary for gathering experimental condition definitions", - "HED": { - "famous_face_cond_def": "(Definition/Famous-face-cond, (Condition-variable/Face-type, (Image, (Face, Famous)), Description/A face that should be recognized by the participants))", - "unfamiliar_face_cond_def": "(Definition/Unfamiliar-face-cond, (Condition-variable/Face-type, (Image, (Face, Unfamiliar)), Description/A face that should not be recognized by the participants.))", - "scrambled_face_cond_def": "(Definition/Scrambled-face-cond, (Condition-variable/Face-type, (Image, (Face, Disordered)), Description/A scrambled face image generated by taking face 2D FFT.))", - "first_show_cond_def": "(Definition/First-show-cond, ((Condition-variable/Repetition-type, (Item-count/1, Face), Item-interval/0), Description/Factor level indicating the first display of this face.))", - "immediate_repeat_cond_def": "(Definition/Immediate-repeat-cond, ((Condition-variable/Repetition-type, (Item-count/2, Face), Item-interval/1), Description/Factor level indicating this face was the same as previous one.))", - "delayed_repeat_cond_def": "(Definition/Delayed-repeat-cond, (Condition-variable/Repetition-type, (Item-count/2, Face), (Item-interval, (Greater-than-or-equal-to, Item-interval/5)), Description/Factor level indicating face was seen 5 to 15 trials ago.))", - "left_sym_cond_def": "(Definition/Left-sym-cond, (Condition-variable/Key-assignment, ((Index-finger, (Left-side-of, Experiment-participant)), (Behavioral-evidence, Symmetrical)), ((Index-finger, (Right-side-of, Experiment-participant)), (Behavioral-evidence, Asymmetrical)), Description/Pressing a key with the left index finger indicates a face with above average symmetry.))", - "right_sym_cond_def": "(Definition/Right-sym-cond, (Condition-variable/Key-assignment, ((Index-finger, (Right-side-of, Experiment-participant)), (Behavioral-evidence, Symmetrical)), ((Index-finger, (Left-side-of, Experiment-participant)), (Behavioral-evidence, Asymmetrical)), Description/Right finger key press means above average symmetry.))" - } - }, - "hed_def_tasks": { - "Description": "Metadata dictionary for gathering task definitions", - "HED": { - "face_symmetry_evaluation_task_def": "(Definition/Face-symmetry-evaluation-task, (Task, Experiment-participant, (See, Face), (Discriminate, (Face, Symmetrical)), (Press, Keyboard-key), Description/Evaluate degree of image symmetry and respond with key press evaluation.))", - "blink_inhibition_task_def": "(Definition/Blink-inhibition-task, (Task, Experiment-participant, Inhibit-blinks, Description/Do not blink while the face image is displayed.))", - "fixation_task_def": "(Definition/Fixation-task, (Task, Experiment-participant, (Fixate, Cross), Description/Fixate on the cross at the screen center.))", - "face_novelty_detection_task_def": "(Definition/Face-novelty-detection-task, ((Task, Implicit), Experiment-participant, (See, Face), (Detect, (Face, Novel)), Description/Recognize presentations of previously unseen face images-implicit task.))" - } - }, - "hed_def_setup": { - "Description": "Metadata dictionary for gathering setup definitions", - "HED": { - "initialize_recording_def": "(Definition/Initialize-recording, (Recording))" - } - - }, - "trigger": { - "Description": "Numerical event marker", - "Levels": { - "x0": "Disappearance of face image and display of the interstimulus circle simultaneously", - "x5": "Initial presentation of famous face", - "x6": "Immediate repeated presentation of famous face", - "x7": "Delayed repeated presentation of famous face", - "x13": "Initial presentation of unfamiliar face", - "x14": "Immediate repeated presentation of unfamiliar face", - "x15": "Delayed repeated presentation of unfamiliar face", - "x17": "Initial presentation of scrambled face", - "x18": "Immediate repeated presentation of scrambled face", - "x19": "Delayed repeated presentation of scrambled face", - "x256": "Left finger key press", - "x4096": "Right finger key press", - "x4352": "Left and right finger key presses" - } - } -}