Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities

Christos Davatzikos, Dinggang Shen, Ruben C. Gur, Xiaoying Wu, Dengfeng Liu, Yong Fan, Paul Hughett, Bruce I. Turetsky, Raquel E. Gur

Research output: Contribution to journalArticle

208 Citations (Scopus)

Abstract

Context: Neuroanatomic abnormalities in schizophrenia may underlie behavioral manifestations. Characterization of such abnormalities is required for interpreting functional data. Frontotemporal abnormalities have been documented by using predetermined region-of-interest approaches, but deformation-based morphometry permits examination of the entire brain. Objectives: To perform whole-brain analyses of structural differences between patients with schizophrenia and controls, to examine sex and medication effects, and to apply a high-dimensional nonlinear pattern classification technique to quantify the degree of separation between patients and controls, thereby testing the potential of this new technique as an aid to diagnostic procedures. Design: Whole-brain morphologic analysis using high-dimensional shape transformations. Setting: Schizophrenia Research Center, University of Pennsylvania Medical Center. Participants: Neuroleptic-naïve and previously treated patients with DSM-IV schizophrenia (n=69) and socio-demographically matched controls (n=79). Main Outcome Measures: Gray matter, white matter, and ventricular cerebrospinal fluid volumes in the brain. Results: Magnetic resonance images showed reduced gray matter and increased ventricular cerebrospinal fluid volumes in patients with schizophrenia in the whole brain and in specific foci: the hippocampus and adjacent white matter, the cingulate and orbitofrontal cortex, the frontotemporal and parietotemporal areas, and the occipital areas near the lingual gyrus. The classifier had a mean classification accuracy of 81.1% for men and women combined (82% for women and 85% for men, when each group was treated separately), determined via crossvalidation. Conclusions: This study confirms previous findings of reduced frontotemporal volumes and suggests new hypotheses, especially involving occipital association and speech production areas. It also suggests finer localization of volume reduction in the hippocampus and other limbic structures and in the frontal lobe. Pattern classification showed high sensitivity and specificity for the diagnosis of schizophrenia, suggesting the potential utility of magnetic resonance imaging as a diagnostic aid.

Original languageEnglish
Pages (from-to)1218-1227
Number of pages10
JournalArchives of General Psychiatry
Volume62
Issue number11
DOIs
Publication statusPublished - 2005 Nov 1
Externally publishedYes

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Schizophrenia
Brain
Cerebrospinal Fluid
Hippocampus
Occipital Lobe
Gyrus Cinguli
Frontal Lobe
Prefrontal Cortex
Diagnostic and Statistical Manual of Mental Disorders
Antipsychotic Agents
Magnetic Resonance Spectroscopy
Magnetic Resonance Imaging
Outcome Assessment (Health Care)
Sensitivity and Specificity
Research
Gray Matter
White Matter

ASJC Scopus subject areas

  • Psychiatry and Mental health

Cite this

Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities. / Davatzikos, Christos; Shen, Dinggang; Gur, Ruben C.; Wu, Xiaoying; Liu, Dengfeng; Fan, Yong; Hughett, Paul; Turetsky, Bruce I.; Gur, Raquel E.

In: Archives of General Psychiatry, Vol. 62, No. 11, 01.11.2005, p. 1218-1227.

Research output: Contribution to journalArticle

Davatzikos, C, Shen, D, Gur, RC, Wu, X, Liu, D, Fan, Y, Hughett, P, Turetsky, BI & Gur, RE 2005, 'Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities', Archives of General Psychiatry, vol. 62, no. 11, pp. 1218-1227. https://doi.org/10.1001/archpsyc.62.11.1218
Davatzikos, Christos ; Shen, Dinggang ; Gur, Ruben C. ; Wu, Xiaoying ; Liu, Dengfeng ; Fan, Yong ; Hughett, Paul ; Turetsky, Bruce I. ; Gur, Raquel E. / Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities. In: Archives of General Psychiatry. 2005 ; Vol. 62, No. 11. pp. 1218-1227.
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abstract = "Context: Neuroanatomic abnormalities in schizophrenia may underlie behavioral manifestations. Characterization of such abnormalities is required for interpreting functional data. Frontotemporal abnormalities have been documented by using predetermined region-of-interest approaches, but deformation-based morphometry permits examination of the entire brain. Objectives: To perform whole-brain analyses of structural differences between patients with schizophrenia and controls, to examine sex and medication effects, and to apply a high-dimensional nonlinear pattern classification technique to quantify the degree of separation between patients and controls, thereby testing the potential of this new technique as an aid to diagnostic procedures. Design: Whole-brain morphologic analysis using high-dimensional shape transformations. Setting: Schizophrenia Research Center, University of Pennsylvania Medical Center. Participants: Neuroleptic-na{\"i}ve and previously treated patients with DSM-IV schizophrenia (n=69) and socio-demographically matched controls (n=79). Main Outcome Measures: Gray matter, white matter, and ventricular cerebrospinal fluid volumes in the brain. Results: Magnetic resonance images showed reduced gray matter and increased ventricular cerebrospinal fluid volumes in patients with schizophrenia in the whole brain and in specific foci: the hippocampus and adjacent white matter, the cingulate and orbitofrontal cortex, the frontotemporal and parietotemporal areas, and the occipital areas near the lingual gyrus. The classifier had a mean classification accuracy of 81.1{\%} for men and women combined (82{\%} for women and 85{\%} for men, when each group was treated separately), determined via crossvalidation. Conclusions: This study confirms previous findings of reduced frontotemporal volumes and suggests new hypotheses, especially involving occipital association and speech production areas. It also suggests finer localization of volume reduction in the hippocampus and other limbic structures and in the frontal lobe. Pattern classification showed high sensitivity and specificity for the diagnosis of schizophrenia, suggesting the potential utility of magnetic resonance imaging as a diagnostic aid.",
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