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Grey matter correlates of syndromes in schizophrenia

A semi-automated analysis of structural magnetic resonance images

Published online by Cambridge University Press:  03 January 2018

S. E. Chua ,
I. C. Wright ,
J.-B. Poline ,
P. F. Liddle ,
R. M. Murray ,
R. S. J. Frackowiak ,
K. J. Friston  and
P. K. McGuire
S. E. Chua*
Affiliation:
Institute of Psychiatry, De Crespigny Park, London, and Castle Peak Hospital, Tuen Mun, Hong Kong
I. C. Wright
Affiliation:
Institute of Psychiatry, De Crespigny Park, London
J.-B. Poline
Affiliation:
Wellcome Department of Cognitive Neurology, National Hospital for Neurology and Neurosurgery, London
P. F. Liddle
Affiliation:
University of British Columbia, Vancouver BC, Canada
R. M. Murray
Affiliation:
Institute of Psychiatry, De Crespigny Park, London
R. S. J. Frackowiak
Affiliation:
Wellcome Department of Cognitive Neurology, National Hospital for Neurology and Neurosurgery, London
K. J. Friston
Affiliation:
Wellcome Department of Cognitive Neurology, National Hospital for Neurology and Neurosurgery, London
P. K. McGuire
Affiliation:
Institute of Psychiatry, De Crespigny Park, London
*
Dr S. E. Chua, Department of Psychiatry, Queen Mary Hospital, Pokfulam Road, Hong Kong
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Abstract

Background

Symptoms in schizophrenia duster into syndromes, each of which may be associated with a particular pattern of cerebral blood flow. We sought to investigate whether these syndromes are also related to neuroanatomical changes.

Method

A semi-automated method was used to examine structural magnetic resonance images in 12 patients with schizophrenia. The relationship between the relative regional grey matter volume and ratings of the syndromes of psychomotor poverty, disorganisation and reality distortion was investigated.

Results

There was a significant negative correlation between psychomotor poverty score and the relative volume of the left ventro-medial prefrontal grey matter, and a significant positive correlation between disorganisation and the relative volumes of the hippocampus, and the parahippocampal/fusiform gyrus bilaterally.

Conclusion

The correlation between psychomotor poverty and left prefrontal grey matter volume resembles that previously seen with prefrontal blood flow in the same patients, suggesting that this functional abnormality is related to an underlying anatomical change.

Type
Papers
Information
The British Journal of Psychiatry , Volume 170 , Issue 5 , May 1997 , pp. 406 - 410
Copyright
Copyright © 1997 The Royal College of Psychiatrists 

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References

American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders (3rd edn, revised) (DSM-III-R). Washington, DC: APA.Google Scholar
Andreasen, N. C. (1987) Comprehensive Assessment of Symptoms and History (2nd edn). Iowa: University College of Iowa College of Medicine.Google Scholar
Balley, D. L., Jones, T., Friston, K. J., et al (1992) Physical validation of statistical parametric mapping, Journal of Cerebral Blood Flow and Metabolism, II (suppl. 2). SI50.Google Scholar
Berman, K. F., Torrey, E. F., Daniel, O. G., et al (1992) Regional cerebral blood flow in monozygotic twins discordant and concordant for schizophrenia. Archives of General Psychiatry, 49, 927–934.Google Scholar
Brown, R., Colter, N., Corsellis, J. A. N., et al (1984) Postmortem evidence of structural brain changes in schizophrenia: differences in brain weight, temporal horn area, and parahippocampal gyrus compared with affective disorder. Archives of General Psychiatry, 43, 36–42.Google Scholar
Chaleos, M. R., Ueberman, J. A., Biider, R. M., et al (1995) Caudate nuclei volumes in schizophrenic patients treated with typical anti-psychotics or clozapine. Loncet, 345, 456–457.Google Scholar
Chua, S. E. & McKenna, R J. (1995) Schizophrenia-a brain disease? A critical review of structural and cerebral abnormality in the disorder, British Journal of Psychiatry, 144, 563–582.Google Scholar
Deakin, J. F. W. (1994) Neurobiology of schizophrenia. Current Opinion in Psychiatry, 9, 50–56.CrossRefGoogle Scholar
Friston, K. J., Frith, C. D., Liddie, P F., et al (1990) The relationship between global and local changes in PET scans. Journal of Cerebral Blood Flow and Metabolism, 10, 458–466.Google Scholar
Friston, K. J., Frith, C. D., Liddie, P F., et al (1991) Comparing functional (PET) images: the assessment of significant change. Journal of Cerebral Blood Flow and Metabolism. II, 690–699.CrossRefGoogle Scholar
Friston, K. J., Frith, C. D., Liddie, P F., Liddle, P. F., Frith, C. A., et al (1992) The medial temporal region and schizophrenia. A PET study. Brain, 115, 367–382.Google Scholar
Friston, K. J., Frith, C. D., Liddie, P F., Liddle, P. F., Frith, C., Ashburner, J., Frith, C. D., et al (1995a) Spatial registration and normalization of images. Human Brain Mopping, 2, 165–189.CrossRefGoogle Scholar
Friston, K. J., Frith, C. D., Liddie, P F., Liddle, P. F., Frith, C., Holmes, A. R., Worstey, K., et al (1995b) Statistical parametric maps in functional imaging: a general linear approach. Human Brain Mopping, 2, 189–210.Google Scholar
Frith, C. D. (1995) The Cognitive Neuropsychology of Schizophrenia. London: Lawrence Eribaum.Google Scholar
Krawiecka, M., Goldberg, D & Vaughn, M. (1977) A standardised psychiatric assessment for rating chronic patients. Acta Psychiatrics Scandinovica, 55, 299–308.Google Scholar
Liddie, P. F. (1987) Schizophrenic syndromes, cognitive performance and neurological dysfunction. Psychological Medicine, 17, 49–57.Google Scholar
Liddie, P. F., Friston, K. J., Frith, C. D., et al (1992) Patterns of cerebral blood flow in schizophrenia. British Journal of Psychiatry, 160, 179–186.Google Scholar
McCarthy, G., Noble, A. C., Bentin, S., et al (1995) Language-related field potentials in the anterior-medial temporal lobe: I. Intracranial distribution and neural generators. Journal of Neuroscience, 15, 1080–1089.Google Scholar
McGuire, P. K., Quested, D, Spence, S. A., et al (1997) A PET study of formal thought disorder. Schizophrenia Research, in press.CrossRefGoogle Scholar
Robb, R. A. (1990) A software system for interactive and quantitative analysis of biomedical images. In 3D Imaging in Medicine (eds K. H. Hohne, Fuchs H. & S. M. Pizer), pp. 333–361. London: Springer-Verlag.Google Scholar
Shenton, M.E., Kikinis, R., Jolesx, F. A., et al (1992) Abnormal ities of the lefftemporallobe and thought disorder in schizophrenia. New England Journal of Medicine, 327, 604–612.Google Scholar
Suddath, R. L., Christlson, G. W., Torre, E. R., et al (1990) Anatomical abnormalities in the brains of monozygotic twins discordant for schizophrenia. New England Journal of Medicine. 322, 789–794.Google Scholar
Talairach, J. & Touruoux, P. (1988) A Co-Planar Stereotaxic Atlas of a Human Brain. Stuttgart: Thieme.Google Scholar
Wright, I. C., McGuire, R K, Poline, J.-B., et al (1995) A voxel-based method for the statistical analysis of grey and white matter density applied to schizophrenia. Neuroimage, 2, 244–252.Google Scholar
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