Functional clustering: identifying strongly interactive brain regions in neuroimaging data.

Abstract

Brain imaging data are generally used to determine which brain regions are most active in an experimental paradigm or in a group of subjects. Theoretical considerations suggest that it would also be of interest to know which set of brain regions are most interactive in a given task or group of subjects. A subset of regions that are much more strongly… (More)

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Cite this paper

@article{Tononi1998FunctionalCI, title={Functional clustering: identifying strongly interactive brain regions in neuroimaging data.}, author={Giulio Tononi and A R Mcintosh and Dan Russell and Gerda Edelman}, journal={NeuroImage}, year={1998}, volume={7 2}, pages={133-49} }