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Functional Neural Systems Analyzed by Use of Interregional Correlations of Glucose Metabolism

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Visuomotor Coordination

Abstract

In order to learn which brain regions are functionally associated with one another in a specific group of subjects during a particular experimental paradigm, a computer-assisted quantitative method was developed for analyzing regional rates of glucose uptake. For each pair of brain regions, the partial correlation coefficient, controlling for whole brain glucose utilization, is calculated between the regional cerebral metabolic rates for glucose for all the subjects. A mathematically derived correlation matrix is constructed in which the statistically significant relationships are displayed. Applications of this novel approach to both human and animal studies are discussed. Similar techniques using electrical data (obtained from both micro-electrodes and scalp electrodes) are reviewed, and the strengths and weaknesses of these approaches are examined.

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Author information

Authors and Affiliations

  1. Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Bldg. 10, RM. 6C-103, Bethesda, MD, 20892, USA

    Barry Horwitz

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  1. Barry Horwitz
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Editor information

Editors and Affiliations

  1. University of Kassel, Kassel, Federal Republic of Germany

    Jörg-Peter Ewert

  2. University of Southern California, Los Angeles, CA, USA

    Michael A. Arbib

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© 1989 Springer Science+Business Media New York

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Horwitz, B. (1989). Functional Neural Systems Analyzed by Use of Interregional Correlations of Glucose Metabolism. In: Ewert, JP., Arbib, M.A. (eds) Visuomotor Coordination. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0897-1_30

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  • DOI: https://doi.org/10.1007/978-1-4899-0897-1_30

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-0899-5

  • Online ISBN: 978-1-4899-0897-1

  • eBook Packages: Springer Book Archive

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