Differential Beta and Gamma Activity Modulation during Unimanual and Bimanual Motor Learning

Movement-related dynamics in the beta and gamma bands have been studied in relation to motor execution and learning during unimanual movements, but their roles in complex bimanual tasks remain largely unexplored. This study aimed to investigate how beta and gamma activity differs between unimanual and bimanual movements and how these neural signatures evolve during the learning process. Our motor task incorporated varying levels of bimanual interaction: unimanual, bimanual-equal, and bimanual-unequal. Magnetoencephalography data were recorded in healthy participants (<i>N</i> = 43, 27 females) during task performance, and beta and gamma activity was quantified. As expected, increasing task complexity from unimanual to bimanual-equal and then to bimanual-unequal movements resulted in slower and less accurate performance. Across all conditions, significant beta event-related desynchronization (ERD) and gamma event-related synchronization (ERS) were observed during movement, as well as beta ERS after movement. Bimanual movements exhibited greater beta ERD, beta ERS, and gamma ERS compared with unimanual movements. With practice, participants demonstrated faster and more accurate movements, accompanied by enhanced beta ERS responses. Furthermore, learning-related reductions in errors correlated with increases in beta ERS. These findings suggest the distinct behavioral and neural demands of unimanual versus bimanual movements and highlight the important role of beta activity in motor performance and learning.

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Publication Details

Journal
Journal of Neuroscience
Published
2025-04-29
DOI
https://doi.org/10.1523/jneurosci.2187-24.2025
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
5.72

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article

Differential Beta and Gamma Activity Modulation during Unimanual and Bimanual Motor Learning

Catharina Zich, Charlotte J. Stagg, Carl Lindersson, Sven Braeutigam et al.
4 citations
Journal of Neuroscience
EEG and Brain-Computer Interfaces
5.72
article

Differential Beta and Gamma Activity Modulation during Unimanual and Bimanual Motor Learning

Catharina Zich, Charlotte J. Stagg, Carl Lindersson, Sven Braeutigam, Min Wu, Marleen J. Schoenfeld
article en
4 citations

Abstract

Movement-related dynamics in the beta and gamma bands have been studied in relation to motor execution and learning during unimanual movements, but their roles in complex bimanual tasks remain largely unexplored. This study aimed to investigate how beta and gamma activity differs between unimanual and bimanual movements and how these neural signatures evolve during the learning process. Our motor task incorporated varying levels of bimanual interaction: unimanual, bimanual-equal, and bimanual-unequal. Magnetoencephalography data were recorded in healthy participants (<i>N</i> = 43, 27 females) during task performance, and beta and gamma activity was quantified. As expected, increasing task complexity from unimanual to bimanual-equal and then to bimanual-unequal movements resulted in slower and less accurate performance. Across all conditions, significant beta event-related desynchronization (ERD) and gamma event-related synchronization (ERS) were observed during movement, as well as beta ERS after movement. Bimanual movements exhibited greater beta ERD, beta ERS, and gamma ERS compared with unimanual movements. With practice, participants demonstrated faster and more accurate movements, accompanied by enhanced beta ERS responses. Furthermore, learning-related reductions in errors correlated with increases in beta ERS. These findings suggest the distinct behavioral and neural demands of unimanual versus bimanual movements and highlight the important role of beta activity in motor performance and learning.

Journal of NeuroscienceVol. 45(22)
Universität Hamburg (DE), University of Oxford (GB), Wellcome Centre for Integrative Neuroimaging (GB), University Medical Center Hamburg-Eppendorf (DE), National Hospital for Neurology and Neurosurgery (GB), University College London (GB)
Wellcome Trust, National Institute for Health and Care Research, ZonMw, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 4%
EEG and Brain-Computer Interfaces
5.72
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