Local GABA Concentration Predicts Perceptual Improvements after Repetitive Sensory Stimulation in Humans

Stefanie Heba, Nicolaas A.J. Puts, Tobias Kalisch, Benjamin Glaubitz, Lauren M. Haag, Melanie Lenz, Hubert R. Dinse, Richard A.E. Edden, Martin Tegenthoff, Tobias Schmidt-Wilcke

Research output: Contribution to journalArticlepeer-review

Abstract

Learning mechanisms are based on synaptic plasticity processes. Numerous studies on synaptic plasticity suggest that the regulation of the inhibitory neurotransmitter γ-aminobutyric acid (GABA) plays a central role maintaining the delicate balance of inhibition and excitation. However, in humans, a link between learning outcome and GABA levels has not been shown so far. Using magnetic resonance spectroscopy of GABA prior to and after repetitive tactile stimulation, we show here that baseline GABA+ levels predict changes in perceptual outcome. Although no net changes in GABA+ are observed, the GABA+ concentration prior to intervention explains almost 60% of the variance in learning outcome. Our data suggest that behavioral effects can be predicted by baseline GABA+ levels, which provide new insights into the role of inhibitory mechanisms during perceptual learning.

Original languageEnglish (US)
Pages (from-to)1295-1301
Number of pages7
JournalCerebral Cortex
Volume26
Issue number3
DOIs
StatePublished - Mar 1 2016

Keywords

  • GABA
  • magnetic resonance spectroscopy
  • plasticity
  • tactile learning

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

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