Human motor cortical gamma activity relates to GABAergic intracortical inhibition and motor learning
Gamma activity (γ, >30 Hz) is universally demonstrated across brain regions and species. However, the physiological basis and functional role of γ sub-bands (slow-γ, mid-γ, fast-γ) have been predominantly studied in rodent hippocampus; γ activity in the human neocortex is much less well understood. We use electrophysiology, non-invasive brain stimulation, and several motor tasks to examine the properties of sensorimotor γ activity sub-bands and their relationship with both local GABAergic activity and motor learning. Data from three experimental studies are presented. Experiment 1 (N = 33) comprises magnetoencephalography (MEG), transcranial magnetic stimulation (TMS), and a motor learning paradigm; experiment 2 (N = 19) uses MEG and motor learning; and experiment 3 (N = 18) uses EEG and TMS. We characterised two distinct γ sub-bands (slow-γ, mid-γ) which show a movement-related increase in activity during unilateral index finger movements and are characterised by distinct temporal-spectral-spatial profiles. Bayesian correlation analysis revealed strong evidence for a positive relationship between slow-γ (~30-60 Hz) peak frequency and GABAergic intracortical inhibition (as assessed using the TMS-metric short interval intracortical inhibition). There was also moderate evidence for a relationship between the power of the movement-related mid-γ activity (60-90 Hz) and motor learning. These relationships were neurochemical and frequency specific. These data provide new insights into the neurophysiological basis and functional roles of γ activity in human M1 and allow the development of a new theoretical framework for γ activity in the human neocortex.
Authors
- Catharina Zich (ORCID: https://orcid.org/0000-0002-0705-9297)
- Alek Pogosyan (ORCID: https://orcid.org/0000-0003-4791-8153)
- Emily L. Hinson (ORCID: https://orcid.org/0000-0001-6990-4540)
- Patricia Cambalova
- Jacqueline Scholl (ORCID: https://orcid.org/0000-0001-9969-1355)
- Camille Lasbareilles
- Charlotte J. Stagg (ORCID: https://orcid.org/0000-0002-5542-5036)
- Andrew J. Quinn (ORCID: https://orcid.org/0000-0003-2267-9897)
- Ioana Grigoras (ORCID: https://orcid.org/0000-0002-5430-7919)
- Mark W. Woolrich (ORCID: https://orcid.org/0000-0001-8460-8854)
- Laurie Josephs
- Valentina Mancini (ORCID: https://orcid.org/0000-0002-7180-9419)
- Magdalena Nowak
- Oana M Puicar
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- University of Manchester (GB)
- University of Oxford (GB)
- Centre de Recherche en Neurosciences de Lyon (FR)
- Wellcome Centre for Integrative Neuroimaging (GB)
- MRC Brain Network Dynamics Unit (GB)
- Centre Hospitalier Le Vinatier (FR)
- University of Birmingham (GB)
Publication Details
- Journal
- Imaging Neuroscience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1162/imag_a_00538
- Citations
- 5
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 7.16