Chapter 5. Neurophysiological Research in Psychiatry

  1. Juan José López-Ibor4,
  2. Wolfgang Gaebel5,
  3. Mario Maj6 and
  4. Norman Sartorius7
  1. John H. Gruzelier1,
  2. Silvana Galderisi2 and
  3. Werner Strik3

Published Online: 30 APR 2002

DOI: 10.1002/0470846461.ch5

Psychiatry as a Neuroscience

Psychiatry as a Neuroscience

How to Cite

Gruzelier, J. H., Galderisi, S. and Strik, W. (2002) Neurophysiological Research in Psychiatry, in Psychiatry as a Neuroscience (eds J. J. López-Ibor, W. Gaebel, M. Maj and N. Sartorius), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470846461.ch5

Editor Information

  1. 4

    Complutense University of Madrid, Spain

  2. 5

    University of Düsseldorf, Germany

  3. 6

    University of Naples, Italy

  4. 7

    University of Geneva, Switzerland

Author Information

  1. 1

    Department of Cognitive Neuroscience and Behaviour, Imperial College of Science, Technology and Medicine, St. Dunstan's Road, London W6 8RF, United Kingdom

  2. 2

    Department of Psychiatry, University of Naples SUN, Largo Madonna delle Grazie, 80138 Naples, Italy

  3. 3

    University Hospital of Clinical Psychiatry, Bollingenstrasse 111, Berne 60, 3000 Switzerland

Publication History

  1. Published Online: 30 APR 2002
  2. Published Print: 15 APR 2002

ISBN Information

Print ISBN: 9780471496564

Online ISBN: 9780470846469

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Keywords:

  • neurophysiology;
  • ERPs;
  • EEG;
  • autonomic activity;
  • schizophrenia;
  • affective disorders;
  • anxiety disorders;
  • dementia

Summary

Linking the working brain with psychological and psychopathological processes requires an understanding of the complex electro-chemical neuronal activation patterns which underpin mental activities dependent on topographical interactions at systems level. This may be achieved by virtue of the fine temporal resolution of neurophysiological methods which assess summed electrical field potentials. The electroencephalogram (EEG) and event-related potential (ERP) methodologies are no longer simply used to exclude organic pathology. Here, evidence is reviewed showing that cognitive ERPs are related to psychiatric subdiagnoses, risk factors, symptom dimensions and prognosis. In addition there is a renaissance in applications and analysis of EEG rhythms including microstates, coherent oscillations, current source analysis, and composite measures of complexity and connectivity between neurophysiological networks, all of which hold promise for the future. Autonomic findings are also documented. The review covers the schizophrenia spectrum, affective disorders, anxiety disorders and dementia.