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Gabriele Lohmann
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Jul 19, 2024
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## REPLACE_WITH_Name_of_Container/toolVersion ## | ||
Short_description_of_container | ||
## lipsia/toolVersion ## | ||
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Example: | ||
``` | ||
*Onesample test at the 2nd level* (`vlisa_onesample`_). | ||
Example: the input is a set of contrast maps called "data_*.nii.gz":: | ||
vlisa_onesample -in data_*.nii.gz -mask mask.nii -out result.v | ||
vnifti -in result.v -out result.nii | ||
*Twosample test at the 2nd level* (`vlisa_twosample`_). | ||
Example: input are two sets of contrast maps called "data1_*.nii.gz" and "data2_*.nii.gz":: | ||
vlisa_twosample -in1 data1_*.nii.gz -in2 data2_*.nii.gz -mask mask.nii -out result.v | ||
vnifti -in result.v -out result.nii | ||
*Single subject test (1st level)* (`vlisa_prewhitening`_). | ||
Example: input are two runs acquired in the same session called "run1.nii.gz" and "run2.nii.gz". | ||
Preprocessing should include a correction for baseline drifts!:: | ||
vlisa_prewhitening -in run1.nii.gz run2.nii.gz -design des1.txt des2.txt -mask mask.nii -out result.v | ||
vnifti -in result.v -out result.nii | ||
``` | ||
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More documentation can be found here: link_to_documentation | ||
More documentation can be found here: https://github.com/lipsia-fmri/lipsia | ||
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To make the executables and scripts inside this container transparently available in the command line of environments where Neurocommand is installed: ml REPLACE_WITH_Name_of_Container/toolVersion | ||
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Citation: | ||
``` | ||
Lohmann et al (2023) "Improving the reliability of fMRI-based predictions of intelligence via semi-blind machine learning", bioRxiv, https://doi.org/10.1101/2023.11.03.565485 | ||
``` | ||
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License: | ||
License: BSD-3-Clause license | ||
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