Implements ICA fingerprinting mainly following De Martino et.al., Neuroimage 2007.
ICAfingerprint(icaobj, nbin = 256, plot = FALSE)object returned by function fmri.sICA.
number of bins for entropy estimation
provide results as star plots.
object of class ''fmriICA''
list with components
4D array with ICA component images. Last index varies over components.
pre-processed data matrix
pre-processed data matrix
estimated un-mixing matrix
estimated mixing matrix
Brain mask
voxelsize
Repetition Time (TR)
matrix of IC characteristics. Colums correspond to IC's .
For some characteristics normalization of values differs from De Martino et. al.. Frequency bands are obtained from periodogram estimated instead of using Welch's method.
De Martino et. al., Classification of fMRI independent components using IC-fingerprints and support vector machine classifieres, Neuroimage 34 (2007) 177-194.