Neuroscience 2000 Abstract
| Presentation Number: | 645.16 |
|---|---|
| Abstract Title: | Multiple cortico-cortical and corticofugal correlation analyses using FDG-PET and coregistered MRI. |
| Authors: |
Opole, I. O.*1
; Buchsbaum , M. S.2
; Fallon , J. H.1
; Opole, R. W.1
; Kinyamu, R. M.1
1Department of Anatomy and Neurobiology, University of California, Irvine, Irvine, CA 2Department of Psychiatry, Mount Sinai School of Medicine, New York, NY |
| Primary Theme and Topics |
H. Other Systems of the CNS - 101. Brain metabolism and blood flow |
| Secondary Theme and Topics | G. Motor Systems and Sensorimotor Integration<br />- 87. Basal ganglia |
| Session: |
645. Brain metabolism and blood flow: human studies Poster |
| Presentation Time: | Wednesday, November 8, 2000 11:00 AM-12:00 PM |
| Location: | Hall G-J |
| Keywords: | PREFRONTAL, Brodmann, connections, striatum |
Positive correlations in metabolic rates are presumed to infer regional connectivity and/or functional correlation. Activation studies have been limited to isolated events related to very specific tasks. However, brain function presumably involves the activation of multiple interrelated systems. We have used a cortical parcellation method based on Brodmann's areas and anatomically standardized basal forebrain to investigate regional connectivity as follows: Subjects underwent structural MRI and 18-FDG-PET scanning following a verbal learning task. MRI and PET images were coregistered using a surface-matching method. Both were resliced to the AC-PC plane, and anatomical standardization carried out using a three-dimensional spline-warping transformation. Using a parcellation map based on Brodmann's areas, glucose metabolic rates for cortical sectors was calculated. Correlation coefficients between relative glucose metabolic rates in one Brodmann's area and every pixel in selected regions of interest were calculated, giving an indication of connectivity. Conservative resampling methods were used to confirm significance. Our approach has produced anatomically congruent correlations between selected cortical areas and striatal regions of interest. Although significant positive correlations have been interpreted to infer connectivity, the significance of negative correlations is unclear. Nonetheless, data derived from this approach may reveal widespread functional networks of activation not approachable using other methods.
Supported by NIH grant # MSMC 25103
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2000 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2000. Online.
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