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Spatial independent component analysis of functional MRI time-series: To what extent do results depend on the algorithm used?
2002
Human Brain Mapping
Independent component analysis (ICA) has been successfully employed to decompose functional MRI (fMRI) time-series into sets of activation maps and associated time-courses. Several ICA algorithms have been proposed in the neural network literature. Applied to fMRI, these algorithms might lead to different spatial or temporal readouts of brain activation. We compared the two ICA algorithms that have been used so far for spatial ICA (sICA) of fMRI time-series: the Infomax (Bell and Sejnowski
doi:10.1002/hbm.10034
pmid:12112768
fatcat:2km3kqsa7ralnc5p3xr5uw7oja