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Grey-matter texture abnormalities and reduced hippocampal volume are distinguishing features of schizophrenia

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posted on 2023-06-08, 18:49 authored by Eugenia Radulescu, Balaji Ganeshan, Sukhwinder S Shergill, Nick Medford, Chris ChatwinChris Chatwin, Rupert YoungRupert Young, Hugo CritchleyHugo Critchley
Neurodevelopmental processes are widely believed to underlie schizophrenia. Analysis of brain texture from conventional magnetic resonance imaging (MRI) can detect disturbance in brain cytoarchitecture. We tested the hypothesis that patients with schizophrenia manifest quantitative differences in brain texture that, alongside discrete volumetric changes, may serve as an endophenotypic biomarker. Texture analysis (TA) of grey matter distribution and voxel-based morphometry (VBM) of regional brain volumes were applied to MRI scans of 27 patients with schizophrenia and 24 controls. Texture parameters (uniformity and entropy) were also used as covariates in VBM analyses to test for correspondence with regional brain volume. Linear discriminant analysis tested if texture and volumetric data predicted diagnostic group membership (schizophrenia or control). We found that uniformity and entropy of grey matter differed significantly between individuals with schizophrenia and controls at the fine spatial scale (filter width below 2 mm). Within the schizophrenia group, these texture parameters correlated with volumes of the left hippocampus, right amygdala and cerebellum. The best predictor of diagnostic group membership was the combination of fine texture heterogeneity and left hippocampal size. This study highlights the presence of distributed grey-matter abnormalities in schizophrenia, and their relation to focal structural abnormality of the hippocampus. The conjunction of these features has potential as a neuroimaging endophenotype of schizophrenia.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Psychiatry Research: Neuroimaging

ISSN

0925-4927

Publisher

Elsevier

Issue

3

Volume

223

Page range

179-186

Department affiliated with

  • BSMS Neuroscience Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2015-06-19

First Open Access (FOA) Date

2015-10-23

First Compliant Deposit (FCD) Date

2014-10-28

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