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

Citation:

Venkataraman A, Kubicki M, Golland P. From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder. IEEE Trans Med Imaging. 2013;32 (11) :2078-98.

Date Published:

2013 Nov

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. 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.

Last updated on 10/19/2017