School of Medicine Publications and Presentations

Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia

Document Type

Article

Publication Date

12-1-2016

Abstract

Background

Altered brain connectivity is implicated in the development and clinical burden of schizophrenia. Relative to matched controls, schizophrenia patients show (1) a global and regional reduction in the integrity of the brain's white matter (WM), assessed using diffusion tensor imaging (DTI) fractional anisotropy (FA), and (2) accelerated age‐related decline in FA values. In the largest mega‐analysis to date, we tested if differences in the trajectories of WM tract development influenced patient–control differences in FA. We also assessed if specific tracts showed exacerbated decline with aging.

Methods

Three cohorts of schizophrenia patients (total n = 177) and controls (total n = 249; age = 18‐61 years) were ascertained with three 3T Siemens MRI scanners. Whole‐brain and regional FA values were extracted using ENIGMA‐DTI protocols. Statistics were evaluated using mega‐ and meta‐analyses to detect effects of diagnosis and age‐by‐diagnosis interactions.

Results

In mega‐analysis of whole‐brain averaged FA, schizophrenia patients had lower FA (P = 10−11) and faster age‐related decline in FA (P = 0.02) compared with controls. Tract‐specific heterochronicity measures, that is, abnormal rates of adolescent maturation and aging explained approximately 50% of the regional variance effects of diagnosis and age‐by‐diagnosis interaction in patients. Interactive, three‐dimensional visualization of the results is available at http://www.enigma-viewer.org.

Conclusion

WM tracts that mature later in life appeared more sensitive to the pathophysiology of schizophrenia and were more susceptible to faster age‐related decline in FA values.

Comments

Copyright © 2016 Wiley Periodicals, Inc.

First Page

4673

Last Page

4688

Publication Title

Human brain mapping

DOI

10.1002/hbm.23336

Academic Level

faculty

Mentor/PI Department

Office of Human Genetics

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