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iMap4: An Open Source Toolbox for the Statistical Fixation Mapping of Eye Movement data with Linear Mixed Modeling
Junpeng Lao1, Sébastien Miellet1,2, Cyril Pernet3, Nayla Sokhn1, and Roberto Caldara1
1Department of Psychology, University of Fribourg, Fribourg, Switzerland.
2Department of Psychology, Bournemouth University, UK.
3Centre for Clinical Brain Sciences, Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK.
##Installation Download ./Matlab_Installation_Package and intall the toolbox as a Matlab Application. Example codes and dataset could be found in ./Data_Sample_with_codes/
Please read the wiki for more information of how to use the toolbox.
##Published papers using iMap4 Our first paper using iMap4 is recently published in Scientific Reports:
Bovet, J., Lao, J., & Caldara, R., & Raymond, M. (2016). Mapping females' bodily features of attractiveness. Scientific Reports, 6, 18551; doi: 10.1038/srep18551
We provide a subset of the eye movement data as a demo of iMap4, see wiki
##Keep in touch! Updates and new release will be announced on our [lab website] (http://perso.unifr.ch/roberto.caldara/index.php?page=3). Subscribe by following the link and we'll keep you informed!!
If you have any question, please email [email protected]
#####Acknowledgments The development of this toolbox was supported by the Swiss National Science Foundation (n° 100014_138627) awarded to Dr. Roberto Caldara
This wiki is adapted from the original iMap4 guidebook.
If you have any questions about the iMap4 usage, please email [email protected]
Getting started
Theory
- Linear Mixed Models
- Pixel Wise Modeling and non-parametric statistics
- Family-wise error rate (FWER) under H0
- Power analysis of iMap4
Data structures and function usage
- Core functions
- Input Matrix
- LMMmap
- StatMap, Posthoc and figure outputs
- Other useful features and function
Example 1 (GUI)
- Background of Example 1
- Using the GUI (1): Import Data and label columns
- Using the GUI (2): Parameters and Conditions
- Using the GUI (3): Create smoothed fixation matrix
- Using the GUI (4): Optional for preprocessing
- Using the GUI (5): Descriptive Statistics Report
- Using the GUI (6): Spatial Mapping Using Linear Mixed Models
- Using the GUI (7): Hypothesis testing and Display results
- Using the GUI (8): Post-hoc analysis
Example 2 (Code)
Example 3 (Code)
Example 4 (Code)
Future development
Additional information