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Altered topographical organization of grey matter structural network in early-onset schizophrenia

  • Han yu Zhou
  • , Li juan Shi
  • , Yan mei Shen
  • , Yu min Fang
  • , Yu qiong He
  • , Hua bing Li
  • , Xue rong Luo
  • , Eric F.C. Cheung
  • , Raymond C.K. Chan*
  • *Corresponding author for this work
  • CAS - Institute of Psychology
  • University of Chinese Academy of Sciences
  • Neuropsychology and Applied Cognitive Neuroscience Laboratory
  • School of Education
  • Hunan University of Science and Technology
  • Central South University
  • Medical Imaging Department
  • Castle Peak Hospital
  • Department of Psychology

Research output: Contribution to journal › Article › peer-review

Abstract

Schizophrenia is characterized by both disrupted neurodevelopmental processes and abnormal brain connectivity. However, few studies have examined the atypical features of brain network topography associated with schizophrenia during childhood and adolescence. We used graph theory to compare the grey matter structural networks of individuals (aged 10-15 years) with early-onset schizophrenia (EOS) (n = 25) and a typically-developing (TD) comparison group (n = 31). Compared with the TD group, EOS patients showed significantly increased clustering and local efficiency across a range of network densities (0.3 – 0.4). The network of EOS patients also had more modules (6 modules in EOS vs. 3 modules in controls), indicating a more segregated network at the cost of functional integration. Although our results were preliminary and failed to survive corrections for multiple comparisons, EOS patients might be characterized by altered nodal centrality in several higher-order associative regions including the prefrontal cortex, the hippocampus and the cerebellum. The EOS structural network also lacked the typical left-hemispheric-dominant hub distribution compared with the TD group. These findings suggest that brain structural network was not only globally but also regionally altered in EOS patients.

Original languageEnglish
Article number111344
JournalPsychiatry Research - Neuroimaging
Volume316
DOIs
StatePublished - 30 Oct 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Early-onset schizophrenia
  • Graph theory
  • Grey matter
  • Structural network

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