plot.fmriICA | R Documentation |
fmriICA
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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, ...)
x |
object returned by function |
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 |
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.
nothing returned.
Joerg Polzehl polzehl@wias-berlin.de
De Martino et. al., Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers, Neuroimage 34 (2007) 177-194.
fmri.sICA
, ICAfingerprint
, fastICA
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