ICAfingerprint {fmri}

IC fingerprinting

Description

Implements ICA fingerprinting mainly following De Martino et.al., Neuroimage 2007.

Usage

ICAfingerprint(icaobj, nbin = 256, plot = FALSE)

Arguments

icaobj

object returned by function fmri.sICA.

nbin

number of bins for entropy estimation

plot

provide results as star plots.

Details

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.

Value

object of class ”fmriICA” list with components

scomp

4D array with ICA component images. Last index varies over components.

X

pre-processed data matrix

K

pre-processed data matrix

W

estimated un-mixing matrix

A

estimated mixing matrix

mask

Brain mask

pixdim

voxelsize

TR

Repetition Time (TR)

fingerprint

matrix of IC characteristics. Columns correspond to IC's .

Author(s)

Joerg Polzehl [e-mail]

References

De Martino et. al., Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers, Neuroimage 34 (2007) 177-194.

See Also

fmri.sICA, plot.fmriICA, fastICA