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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.
Last updated on 02/27/2023
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.