plot.fmriICA: Diagnostics plots for objects of class "'fmriICA"'

In fmri: Analysis of fMRI Experiments

Diagnostics plots for objects of class ”fmriICA”

Description

The function generates plots for inspecting independent components obtained by spatial independent component analysis.

Usage

## S3 method for class 'fmriICA'
plot(x, comp = 1, center = NULL, thresh = 1.5, ...)
## S3 method for class 'fmrigroupICA'
plot(x, comp = 1, center = NULL, thresh = 1.5, ...)

Arguments

x	object returned by function fmri.sICA or preferably function ICAfingerprinting in case of plot.fmriICA and object returned by function fmri.sgroupICA in case of plot.fmrigroupICA
comp	number of the independent component to inspect.
center	coordinates for central point to determine axial, coronal and sagittal slices for display. If NULL the central point of the image cube is selected. center needs to be within the brain mask.
thresh	Threshold value
...	currently not used

Details

The function generates diagnostic plots for the independent component specified in comp. It provides axial, coronal and sagittal images as determined by center. Values exceeding the threshold are displayed using a color scale. An IC fingerprint is given as a star plot. Additionally the time series corresponding to the spatial IC and its spectral density are plotted.

Value

nothing returned.

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, ICAfingerprint, fastICA

fmri documentation built on Sept. 8, 2023, 5:23 p.m.