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

  • Barry Horwitz

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.

Keywords

Corpus Callosum Alzheimer Disease Cereb Blood Flow Alzheimer Disease Patient Cerebral Glucose Metabolism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • Barry Horwitz
    • 1
  1. 1.Laboratory of Neurosciences, National Institute on AgingNational Institutes of HealthBethesdaUSA

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