From brain connectivity models to identifying foci of a neurological disorder

Authors:
Archana Venkataraman;Marek Kubicki;Polina Golland
Affiliations:
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;Psychiatry Neuroimaging Laboratory, Harvard Medical School, Boston, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Venue:
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2012

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Abstract

We propose a novel approach to identify the foci of a neurological disorder based on anatomical and functional connectivity information. Specifically, we formulate a generative model that characterizes the network of abnormal functional connectivity emanating from the affected foci. We employ the variational EM algorithm to fit the model and to identify both the afflicted regions and the differences in connectivity induced by the disorder. We demonstrate our method on a population study of schizophrenia.