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Resting GABA and glutamate concentrations do not predict visual gamma frequency or amplitude.

Abstract:
Gamma band oscillations arise in neuronal networks of interconnected GABAergic interneurons and excitatory pyramidal cells. A previous study found a correlation between visual gamma peak frequency, as measured with magnetoencephalography, and resting GABA levels, as measured with magnetic resonance spectroscopy (MRS), in 12 healthy volunteers. If true, this would allow studies in clinical populations testing modulation of this relationship, but this finding has not been replicated. We addressed this important question by measuring gamma oscillations and GABA, as well as glutamate, in 50 healthy volunteers. Visual gamma activity was evoked using an established gratings paradigm, and we applied a beamformer spatial filtering technique to extract source-reconstructed gamma peak frequency and amplitude from the occipital lobe. We determined gamma peak frequency and amplitude from the location with maximal activation and from the location of the MRS voxel to assess the relationship of GABA with gamma. Gamma peak frequency was estimated from the highest value of the raw spectra and by a Gaussian fit to the spectra. MRS data were acquired from occipital cortex. We did not replicate the previously found correlation between gamma peak frequency and GABA concentration. Calculation of a Bayes factor provided strong evidence in favor of the null hypothesis. We also did not find a correlation between gamma activity and glutamate or between gamma and the ratio of GABA/glutamate. Our results suggest that cortical gamma oscillations do not have a consistent, demonstrable relationship to excitatory/inhibitory network activity as proxied by MRS measurements of GABA and glutamate.
Publication status:
Published

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Publisher copy:
10.1073/pnas.1321072111

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author


Publisher:
National Academy of Sciences
Journal:
Proceedings of the National Academy of Sciences of the United States of America More from this journal
Volume:
111
Issue:
25
Pages:
9301-9306
Publication date:
2014-06-01
DOI:
EISSN:
1091-6490
ISSN:
0027-8424


Language:
English
Keywords:
Pubs id:
pubs:469417
UUID:
uuid:194b74f6-9820-4ae9-826b-ca66e5233fdb
Local pid:
pubs:469417
Source identifiers:
469417
Deposit date:
2014-06-17
ARK identifier:

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