plot.fmriICA: Diagnostics plots for objects of class "'fmriICA"'
In neuroconductor/fmri: Analysis of fMRI Experiments

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

The function generates plots for inspecting independent components obtained by spatial indipendent 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 `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 sattigal 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 sattigal 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 plottet.

nothing returned.

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, ICAfingerprint, fastICA

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