Preprocess fmri data for pymvpa
pymvpa2-prep-fmri [\,OPTIONS\/] \,<fmri-data>\/
Tiny tool to prepare a directory for a typical analysis of fMRI data with PyMVPA. Tools from the FSL suite will be used for preprocessing. It takes a 4D fMRI timeseries as input and performs the following steps:
- extract an example volume
- perform motion correction using the example volume as reference
- conservative skull-stripping and brain mask generation
- masking of the motion-corrected timeseries with the brain mask
All results will be stored either in the current directory, or in a subdirectory with the subject ID (if specified).
--version
show program's version number and exit
-v VERBOSE, --verbose=\,VERBOSE\/, --verbosity=\,VERBOSE\/
Verbosity level of output [Default: 0]
-h, --help, --sos
Show this help message and exit
-s SUBJ, --subject-id=\,SUBJ\/
Subject ID used as output path
-e EXFUNC, --example-func-vol=\,EXFUNC\/
Volume (numeric ID or 'last', 'first', 'middle') to be used as an example functional image. Default: 10
-m MCFLIRT_OPTS, --mcflirt-options=\,MCFLIRT_OPTS\/
Options for MCFLIRT. '-plots' is auto-added
-p, --mcflirt-plots
Create a .pdf with plots of motion parameters
-b BET_OPTS, --bet-options=\,BET_OPTS\/
Options for BET. '-m' is auto-added. Default: '-f 0.3' for a safe guess of the brain outline