SYNOPSIS
mvpa-prep-fmri [OPTIONS] <fmri-data>DESCRIPTION
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).
OPTIONS
- --version
- show program's version number and exit
- -v VERBOSE, --verbose=VERBOSE, --verbosity=VERBOSE
- Verbosity level of output
- -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