Lack of a bimodal distribution of ventricular size in schizophrenia: A Gaussian mixture analysis of 1056 cases and controls

David G. Daniel, Terry E. Goldberg, Robert D. Gibbons, Daniel R. Weinberger

Research output: Contribution to journalArticle

Abstract

The finding of clinical and laboratory differences between schizophrenic patients with large and small cerebral ventricles has led to the widespread assumption that large ventricles are a marker that characterizes a subgroup of patients with schizophrenia. We reviewed all published English language ventricle-to-brain ratio (VBR) studies in which individual data points were available (schizophrenics: n = 691, medical controls: n = 205, normal volunteers: n = 160). Using a univariate normal mixture model to examine the distribution of ventricular size in each group, we found no evidence of a mixture of Gaussian distributions (i.e., "bimodality") within any of the three groups. The same analysis was then performed on the combined sample of schizophrenic patients and normal and medical controls, respectively. In each case the improvement in fit of a mixture of normal distributions compared to a single component normal distribution was significant. The data do not support the notion that ventricular enlargement is a discontinuous marker of a subtype of schizophrenia.

Original languageEnglish (US)
Pages (from-to)887-903
Number of pages17
JournalBiological psychiatry
Volume30
Issue number9
DOIs
StatePublished - Nov 1 1991
Externally publishedYes

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ASJC Scopus subject areas

  • Biological Psychiatry

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