Literature DB >> 23036782

Disturbed grey matter coupling in schizophrenia.

Guusje Collin1, Marcel A de Reus, Wiepke Cahn, Hilleke E Hulshoff Pol, René S Kahn, Martijn P van den Heuvel.   

Abstract

In schizophrenia, grey matter deficits have been shown for many regions throughout the brain. These regions do not operate in isolation. Rather, they form a structural network of interconnected grey matter regions. To examine the mutual dependence of brain regions, this study investigated interregional coupling in lobar and regional grey matter volumes obtained from 146 schizophrenia patients and 122 healthy comparison subjects. Compared to healthy controls, schizophrenia patients showed both decreased (e.g. between left frontal and bilateral subcortical, p≤0.005) and increased (e.g. between left temporal and bilateral subcortical, p≤0.001) coupling between lobar grey matter volumes. On a regional scale, decreased coupling was most pronounced between fronto-parietal cortical regions and subcortical structures, and between frontal and occipital regions. In addition, an increased association was found among frontal and limbic regions, and for temporo-occipital connexions. Consistent with dysconnectivity theories of schizophrenia, impaired grey matter coupling may be reflective of reduced integrity of the brain's network. Furthermore, as cross-sectional volumetric coupling is indicative of maturational coupling, aberrant grey matter coupling may be a marker of neurodevelopmental abnormalities in schizophrenia.
Copyright © 2012 Elsevier B.V. and ECNP. All rights reserved.

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Year:  2012        PMID: 23036782     DOI: 10.1016/j.euroneuro.2012.09.001

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  15 in total

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Authors:  Martijn P van den Heuvel; Alex Fornito
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Authors:  Aaron Alexander-Bloch; Jay N Giedd; Ed Bullmore
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Authors:  Aaron F Alexander-Bloch; Philip T Reiss; Judith Rapoport; Harry McAdams; Jay N Giedd; Ed T Bullmore; Nitin Gogtay
Journal:  Biol Psychiatry       Date:  2014-02-22       Impact factor: 13.382

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