ICAfingerprint: IC fingerprinting

In fmri: Analysis of fMRI Experiments

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

fmri documentation built on Sept. 11, 2024, 7:58 p.m.