In this Issue November 2017

A high priority to the field is being able to predict who among those people at high risk for schizophrenia actually will develop the illness. In this month's issue Choi and colleagues (pages 1-2) report a method combining results from Diffusion Tensor Imaging with resting state f-MRI to calculate what they call the amount of global and regional network efficiency. Using this measure, they were able to separate out a group of clinically high-risk people who had efficiency levels similar to patients with schizophrenia and another group that were more like healthy controls.
Source: Schizophrenia Research - Category: Psychiatry Authors: Source Type: research