GABA, noise and gain in human visual cortex.

Stephen T Hammett, Emily Cook, Omar Hassan, Ceri-Ann Hughes, Hanna Rooslien, Rana Tizkar, Jonas Larsson

Neuroscience letters 2020 Sep 25

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High levels of GABA (gamma-aminobutyric acid, the brain's primary inhibitory neurotransmitter) are associated with enhanced cognitive and perceptual performance. It has been proposed that these effects result from GABA reducing neural noise or variability, but the precise mechanisms remain unknown. We have measured how individual differences in GABA concentration in the visual cortex are related to performance on a visual contrast discrimination task. Our results reveal that the facilitatory strength of the typical "dipper" function elicited by this task is strongly correlated with GABA concentration. A simple, biologically plausible, network model comprising excitatory and suppressive neural populations accounts for the data well and indicates that the strength of suppression increases as GABA concentration increases. Inter-individual variations in GABA were correlated both with the inhibition strength of the model (mimicking the effect of GABA) and, inversely, with the magnitude of the response criterion. This enhanced suppression has the dual effect of suppressing noise and reducing the gain of the neural response. Our findings thus suggest that the changes in performance conferred by high GABA concentration are mediated by both a reduction of noise and, paradoxically, a reduction in neural, but not perceptual, sensitivity. Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Citation

Stephen T Hammett, Emily Cook, Omar Hassan, Ceri-Ann Hughes, Hanna Rooslien, Rana Tizkar, Jonas Larsson. GABA, noise and gain in human visual cortex. Neuroscience letters. 2020 Sep 25;736:135294