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.
