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From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder

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3 Author(s)
Venkataraman, A. ; Comput. Sci. & Artiilcial Intell. Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA ; Kubicki, M. ; Golland, P.

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. This allows us to aggregate pairwise connectivity changes into a region-based representation of the disease. We employ the variational expectation-maximization algorithm to fit the model and subsequently identify both the afflicted regions and the differences in connectivity induced by the disorder. We demonstrate our method on a population study of schizophrenia.

Published in:

Medical Imaging, IEEE Transactions on  (Volume:32 ,  Issue: 11 )

Date of Publication:

Nov. 2013

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