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A quantitative MR measure of the fornix in schizophrenia

  • Janos Zahajszky
  • , Chandlee C. Dickey
  • , Robert W. McCarley
  • , Iris A. Fischer
  • , Paul Nestor
  • , Ron Kikinis
  • , Martha E. Shenton
  • Icahn School of Medicine at Mount Sinai
  • Harvard University

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

Abstract

Some cognitive disturbances accompanying schizophrenia may be due to abnormalities in the thalamus and components of the limbic system. The fornix is an important white-matter relay pathway connecting these structures and is likely to be affected in schizophrenia as well. Magnetic resonance images of the fornix were analyzed in 15 schizophrenic patients and 15 matched comparison group subjects. Fornix volume was compared between the two groups and was also correlated with the volumes of other neuroanatomical structures, as well as with illness presentation, clinical status, and cognitive/psychological measures. There was no significant difference in fornix volume between the two groups. Of note, fornix volume correlated significantly with the volumes of the hippocampus, parahippocampus, and the superior temporal gyrus in the schizophrenic subjects, but not in the controls. Moreover, the correlation between fornix and parahippocampal gyrus volumes differed significantly between the two groups. No association was found between fornix volume and illness presentation or between fornix and cognitive/clinical measures. Results suggest that there are no marked changes in fornix volume in schizophrenia by MRI. The fornix, however, may be part of a network of structures affected in schizophrenia, as indicated by correlated volumetric changes.

Original languageEnglish
Pages (from-to)87-97
Number of pages11
JournalSchizophrenia Research
Volume47
Issue number1
DOIs
StatePublished - Jan 15 2001

ASJC Scopus Subject Areas

  • Psychiatry and Mental health
  • Biological Psychiatry

Keywords

  • Fornix
  • Hippocampus
  • Image processing
  • Magnetic resonance imaging
  • MR
  • Schizophrenia
  • Volumetric analysis

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