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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