Voxel-based morphometry of grey matter densities in subjects at high risk of schizophrenia

Dominic E Job, Heather C Whalley, Sarah McConnell, Mike Glabus, Eve C Johnstone, Stephen M Lawrie

Research output: Contribution to journalArticlepeer-review

Abstract

The grey matter (GM) segments from T1 structural magnetic resonance (MR) images of the brain in subjects at high risk of schizophrenia (n=146) were compared with normal control subjects (n=36) and first episode schizophrenic subjects (n=34) using automated voxel-based morphometry (VBM). The subjects were recruited for the Edinburgh High Risk Study (EHRS) and regional brain volumes had previously been measured using a semi-automated volumetric region of interest (ROI) method of analysis. For the current report, the images were processed using a study specific template and statistically analysed using the SPM99 program. The small volume correction tool in SPM was also used to restrict the analyses to specific voxels. Reductions in the probability of grey matter (GM) density were seen bilaterally in the anterior cingulate, and as a trend in the left parahippocampal gyrus for the high-risk vs. control subjects. In contrast, first episode schizophrenia subjects had less GM than high-risk subjects in several frontal and temporal regions. These results are compatible with the findings of our previous volumetric ROI analysis.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalSchizophrenia Research
Volume64
Issue number1
DOIs
Publication statusPublished - 1 Nov 2003

Keywords

  • Acute Disease
  • Adolescent
  • Adult
  • Amygdala
  • Brain
  • Brain Mapping
  • Dominance, Cerebral
  • Female
  • Frontal Lobe
  • Genetic Predisposition to Disease
  • Gyrus Cinguli
  • Humans
  • Image Interpretation, Computer-Assisted
  • Magnetic Resonance Imaging
  • Male
  • Mathematical Computing
  • Parahippocampal Gyrus
  • Reference Values
  • Risk
  • Schizophrenia
  • Schizophrenic Psychology
  • Schizotypal Personality Disorder
  • Temporal Lobe

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