Psychiatry Research: Neuroimaging
Volume 148, Issue 1 , Pages 61-66, 22 November 2006

Early detection of schizophrenia by diffusion weighted imaging

  • Lynn E. DeLisi

      Affiliations

    • The Nathan S. Kline Institute for Psychiatric Research, Department of Medical Physics, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA
    • The New York University School of Medicine, Department of Psychiatry, 650 First Avenue, New York, NY 10016, USA
    • Corresponding Author InformationCorresponding author. The Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA. Tel.: +1 845 398 5471; fax: +1 845 398 5472.
  • ,
  • Kamila U. Szulc

      Affiliations

    • The New York University School of Medicine, Department of Psychiatry, 650 First Avenue, New York, NY 10016, USA
  • ,
  • Hilary Bertisch

      Affiliations

    • The New York University School of Medicine, Department of Psychiatry, 650 First Avenue, New York, NY 10016, USA
  • ,
  • Magda Majcher

      Affiliations

    • The Nathan S. Kline Institute for Psychiatric Research, Department of Medical Physics, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA
  • ,
  • Kyle Brown

      Affiliations

    • The Nathan S. Kline Institute for Psychiatric Research, Department of Medical Physics, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA
  • ,
  • Arthika Bappal

      Affiliations

    • The Nathan S. Kline Institute for Psychiatric Research, Department of Medical Physics, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA
  • ,
  • Craig A. Branch

      Affiliations

    • The Nathan S. Kline Institute for Psychiatric Research, Department of Medical Physics, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA
    • Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
  • ,
  • Babak A. Ardekani

      Affiliations

    • The Nathan S. Kline Institute for Psychiatric Research, Department of Medical Physics, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA
    • The New York University School of Medicine, Department of Psychiatry, 650 First Avenue, New York, NY 10016, USA

Received 12 January 2006; received in revised form 7 April 2006; accepted 26 April 2006.

Abstract 

A novel magnetic resonance imaging method was used to determine whether it is feasible to detect early signs of cortical atrophy among individuals who are at high risk for developing schizophrenia. Fifteen individuals at high-risk for schizophrenia and 15 of their first degree relatives diagnosed with schizophrenia were compared with controls (n=25) who did not have a family history of psychiatric illness or psychiatric hospitalizations. On the basis of a voxelwise analysis of apparent diffusion coefficient (ADC) maps derived from diffusion weighted magnetic resonance imaging, these individuals showed evidence of deficits in four separate regions of the brain, all on the left side only: parahippocampal gyrus, lingual gyrus, superior frontal gyrus, and middle frontal gyrus. However, conventional volumetric quantification of ventricular space to detect atrophy failed to reveal differences between high-risk subjects and controls. It is concluded that ADC may be a more sensitive measure than ventricular volume assessments for use in future studies of early prediction of schizophrenia.

Keywords: MRI, Diffusion Tensor Imaging, Apparent Diffusion Coefficient, Morphometry, Prodrome, Atrophy

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PII: S0925-4927(06)00082-5

doi:10.1016/j.pscychresns.2006.04.010

Psychiatry Research: Neuroimaging
Volume 148, Issue 1 , Pages 61-66, 22 November 2006