Abstract #4139

Reduced clustering co-efficient in structural connectivity of schizophrenia patients analyzed using diffusion tensor imaging

Merry Mani¹, Nancy Andreasen¹, and Vincent Magnotta¹

¹University of Iowa, Iowa City, IA, United States

Schizophrenia is a psychiatric illness characterized by failure of functional integration. To shed light on the underlying pathophysiology, the complex networks of the brain have to be studied comprehensively. This study used network analysis tools to study the topological features of the brain in schizophrenia. Using diffusion tensor imaging, we generated the graph network of schizophrenia patients and controls. We defined 68 cortical regions as nodes and used streamlines derived from deterministic fiber tracking to define the edges of the graph. A permutation testing was used to test differences between topological measures derived from the graphs of schizophrenia patients and controls.

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