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Abstract #1971

MR connectomics identifies a distributed subnetwork lesioned in schizophrenia

Alessandra Griffa 1,2 , Philipp S. Baumman 3,4 , Carina Ferrari 3,4 , Philippe Conus 3,4 , Kim Q. Do 3,4 , Jean-Philippe Thiran 1,2 , and Patric Hagmann 1,2

1 Signal Processing Laboratory (LTS5), Ecole Polytechnique Fdrale de Lausanne (EPFL), Lausanne, Switzerland, 2 Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland, 3 Service of General Psychiatry and Center for Psychiatric Neuroscience, Lausanne University Hospital, Lausanne, Switzerland, 4 Naional Center of Competence in Research (NCCR) SYNAPSY - The Synaptic Bases of Mental Diseases, Switzerland

Schizophrenia is a complex psychiatric disorder involving impaired brain connectivity. The connectome framework allows describing various aspects of the brain topology in terms of network measures, and is therefore well suited for the investigation of schizophrenia. The purpose of the present study is to build on findings related to the alteration of global brain network properties, in order to identify the brain regions that mainly contribute to the integration and segregation deficit. Adopting a data-driven approach, we identified a distributed subnetwork affected in schizophrenia, and quantitatively characterized the related brain network topology reorganization.

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