spatialdecomp
Description:
Inputs:
Outputs:
Usage:
Perform PCA or ICA decomposition on a data file in the spatial dimension.
usage: spatialdecomp [-h] [--dmask DATAMASK] [--ncomp NCOMPS] [--smooth SIGMA]
[--type {pca,sparse,ica}] [--nodemean] [--novarnorm]
datafile outputroot
Positional Arguments
- datafile
The name of the 3 or 4 dimensional nifti file to fit
- outputroot
The root name for the output nifti files
Named Arguments
- --dmask
Use DATAMASK to specify which voxels in the data to use.
- --ncomp
The number of PCA/ICA components to return (default is to estimate the number).
Default: -1.0
- --smooth
Spatially smooth the input data with a SIGMA mm kernel.
Default: 0.0
- --type
Possible choices: pca, sparse, ica
Type of decomposition to perform. Default is pca.
Default: “pca”
- --nodemean
Do not demean data prior to decomposition.
Default: True
- --novarnorm
Do not variance normalize data prior to decomposition.
Default: True