plot.fmriICA function

Diagnostics plots for objects of class ''fmriICA''

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

## 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.

Returns

nothing returned.

References

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

Author(s)

Joerg Polzehl polzehl@wias-berlin.de

See Also

fmri.sICA, ICAfingerprint, fastICA