R: Diagnostics plots for objects of class "'fmriICA"'

plot.fmriICA {fmri}

R Documentation

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 polzehl@wias-berlin.de

References

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

Diagnostics plots for objects of class ”fmriICA”