ICAfingerprint: IC fingerprinting
In neuroconductor/fmri: Analysis of fMRI Experiments

Description Usage Arguments Details Value Author(s) References See Also

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

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

`icaobj`	object returned by function `fmri.sICA`.
`nbin`	number of bins for entropy estimation
`plot`	provide results as star plots.

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.

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. Colums correspond to IC's .

Joerg Polzehl polzehl@wias-berlin.de

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

fmri.sICA, plot.fmriICA, fastICA

neuroconductor/fmri documentation built on May 20, 2021, 4:28 p.m.