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.
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Venkataraman, A., Kubicki, M., Golland, P. (2012). From Brain Connectivity Models to Identifying Foci of a Neurological Disorder. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33415-3_88
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DOI: https://doi.org/10.1007/978-3-642-33415-3_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33414-6
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