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Individual differences in GABA content are reliable but are not uniform across the human cortex.
- Source :
-
NeuroImage [Neuroimage] 2016 Oct 01; Vol. 139, pp. 1-7. Date of Electronic Publication: 2016 Jun 09. - Publication Year :
- 2016
-
Abstract
- <superscript>1</superscript> H magnetic resonance spectroscopy (MRS) provides a powerful tool to measure gamma-aminobutyric acid (GABA), the principle inhibitory neurotransmitter in the human brain. We asked whether individual differences in MRS estimates of GABA are uniform across the cortex or vary between regions. In two sessions, resting GABA concentrations in the lateral prefrontal, sensorimotor, dorsal premotor, and occipital cortices were measured in twenty-eight healthy individuals. GABA estimates within each region were stable across weeks, with low coefficients of variation. Despite this stability, the GABA estimates were not correlated between regions. In contrast, the percentage of brain tissue per volume, a control measure, was correlated between the three anterior regions. These results provide an interesting dissociation between an anatomical measure of individual differences and a neurochemical measure. The different patterns of anatomy and GABA concentrations have implications for understanding regional variation in the molecular topography of the brain in health and disease.<br /> (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Subjects :
- Cerebral Cortex anatomy & histology
Humans
Image Interpretation, Computer-Assisted methods
Magnetic Resonance Imaging methods
Male
Reproducibility of Results
Sensitivity and Specificity
Tissue Distribution
Young Adult
Cerebral Cortex metabolism
Molecular Imaging methods
Neurotransmitter Agents metabolism
Proton Magnetic Resonance Spectroscopy methods
gamma-Aminobutyric Acid metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 139
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 27288552
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2016.06.007