Structural covariance in schizophrenia and first-episode psychosis: An approach based on graph analysis

André Zugman*, Idaiane Assunção, Gilson Vieira, Ary Gadelha, Thomas P. White, Pedro Paulo M Oliveira, Cristiano Noto, Nicolas Crossley, Philip Mcguire, Quirino Cordeiro, Sintia I O Belangero, Rodrigo A. Bressan, Andrea P. Jackowski, João Ricardo Sato

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Schizophrenia is a neurodevelopmental disorder that produces abnormalities across different brain regions. Measuring structural covariance with MRI is a well-established approach to investigate common changes in distinct systems. We investigated structural covariance in schizophrenia in a large Brazilian sample of individuals with chronic schizophrenia (n = 143), First Episode Psychosis (n = 32), and matched healthy controls (n = 82) using a combination of graph analysis and computational neuroanatomy.Firstly, we proposed the connectivity-closeness and integrity-closeness centrality measures and them compared healthy controls with chronic schizophrenia regarding these metrics. We then conducted a second analysis on the mapped regions comparing the pairwise difference between the three groups. Our results show that compared with controls, both patient groups (in pairwise comparisons) had a reduced integrity-closeness in pars orbitalis and insula, suggesting that the relationship between these areas and other brain regions is increased in schizophrenia. No differences were found between the First Episode Psychosis and Schizophrenia groups. Since in schizophrenia the brain is affected as a whole, this may mirror that these regions may be related to the generalized structural alteration seen in schizophrenia.

Original languageEnglish
Pages (from-to)89-96
Number of pages8
JournalJournal of psychiatric research
Volume71
DOIs
Publication statusPublished - 1 Dec 2015

Keywords

  • Graph analysis
  • Neuroimaging
  • Schizophrenia
  • Structural covariance

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