Evidence that reduced gray matter volume in psychotic disorder is associated with exposure to environmental risk factors

Aleida Frissen, Jim van Os, Sanne Peeters, Ed Gronenschild, Machteld Marcelis*, Genetic Risk and Outcome of Psychosis (GROUP) Investigators

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The aim of this study was to examine whether cannabis use, childhood trauma and urban upbringing are associated with total gray matter volume (GMV) in individuals with (risk for) psychotic disorder and whether this is sex-specific. T1-weighted MRI scans were acquired from 89 patients with a psychotic disorder, 95 healthy siblings of patients with psychotic disorder and 87 controls. Multilevel random regression analyses were used to examine main effects and interactions between group, sex and environmental factors in models of GMV. The three-way interaction between group, sex and cannabis (chi(2) = 12.43, p < 0.01), as well as developmental urbanicity (chi(2) = 6.29, p = 0.01) were significant, indicating that cannabis use and developmental urbanicity were associated with lower GMV in the male patient group (cannabis: B = -32.54, p < 0.01; developmental urbanicity: B = -10.23, p = 0.03). For childhood trauma, the two-way interaction with group was significant (chi(2) = 5.74, p = 0.02), indicating that childhood trauma was associated with reduced GMV in the patient group (B = -9.79, p = 0.01). The findings suggest that reduction of GMV in psychotic disorder may be the outcome of differential sensitivity to environmental risks, particularly in male patients.
Original languageEnglish
Pages (from-to)100-110
Number of pages11
JournalPsychiatry Research-Neuroimaging
Volume271
DOIs
Publication statusPublished - 30 Jan 2018

Keywords

  • Psychotic disorder
  • Cannabis
  • Childhood trauma
  • Urbanization
  • Gene-environment interaction
  • Gray matter
  • HUMAN CEREBRAL-CORTEX
  • 1ST-EPISODE SCHIZOPHRENIA-PATIENTS
  • MAGNETIC-RESONANCE IMAGES
  • NEGATIVE-SYNDROME-SCALE
  • CHILDHOOD SEXUAL-ABUSE
  • SURFACE-BASED ANALYSIS
  • CORTICAL THICKNESS
  • CANNABIS USE
  • GENDER-DIFFERENCES
  • GEOMETRICALLY ACCURATE

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