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

<h4>Background</h4> <p>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...

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Main Authors: Kochunov, P, Ganjgahi, H, Winkler, A, Kelly, S, Shukla, DK, Du, X, Jahanshad, N, Rowland, L, Sampath, H, Patel, B, O'Donnell, P, Xie, Z, Paciga, SA, Schubert, CR, Chen, J, Zhang, G, Thompson, PM, Nichols, TE, Hong, LE
Format: Journal article
Language:English
Published: Wiley 2016
_version_ 1797057097694707712
author Kochunov, P
Ganjgahi, H
Winkler, A
Kelly, S
Shukla, DK
Du, X
Jahanshad, N
Rowland, L
Sampath, H
Patel, B
O'Donnell, P
Xie, Z
Paciga, SA
Schubert, CR
Chen, J
Zhang, G
Thompson, PM
Nichols, TE
Hong, LE
author_facet Kochunov, P
Ganjgahi, H
Winkler, A
Kelly, S
Shukla, DK
Du, X
Jahanshad, N
Rowland, L
Sampath, H
Patel, B
O'Donnell, P
Xie, Z
Paciga, SA
Schubert, CR
Chen, J
Zhang, G
Thompson, PM
Nichols, TE
Hong, LE
author_sort Kochunov, P
collection OXFORD
description <h4>Background</h4> <p>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.</p> <h4>Methods</h4> <p>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.</p> <h4>Results</h4> <p>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 to controls. Tract-specific heterochronicity measures, i.e., abnormal rates of adolescent maturation and aging explained ~50% of the regional variance effects of diagnosis and age-by-diagnosis interaction in patients. Interactive, 3D visualization of the results is available at www.enigma-viewer.org.</p> <h4>Conclusion</h4> <p>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.</p>
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spelling oxford-uuid:1d9671af-5567-443a-b82c-02cbbbbb4ba42022-03-26T11:11:49ZHeterochronicity of white matter development and aging explains regional patient control differences in schizophreniaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1d9671af-5567-443a-b82c-02cbbbbb4ba4EnglishSymplectic Elements at OxfordWiley2016Kochunov, PGanjgahi, HWinkler, AKelly, SShukla, DKDu, XJahanshad, NRowland, LSampath, HPatel, BO'Donnell, PXie, ZPaciga, SASchubert, CRChen, JZhang, GThompson, PMNichols, TEHong, LE <h4>Background</h4> <p>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.</p> <h4>Methods</h4> <p>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.</p> <h4>Results</h4> <p>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 to controls. Tract-specific heterochronicity measures, i.e., abnormal rates of adolescent maturation and aging explained ~50% of the regional variance effects of diagnosis and age-by-diagnosis interaction in patients. Interactive, 3D visualization of the results is available at www.enigma-viewer.org.</p> <h4>Conclusion</h4> <p>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.</p>
spellingShingle Kochunov, P
Ganjgahi, H
Winkler, A
Kelly, S
Shukla, DK
Du, X
Jahanshad, N
Rowland, L
Sampath, H
Patel, B
O'Donnell, P
Xie, Z
Paciga, SA
Schubert, CR
Chen, J
Zhang, G
Thompson, PM
Nichols, TE
Hong, LE
Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
title Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
title_full Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
title_fullStr Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
title_full_unstemmed Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
title_short Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
title_sort heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
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