Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive

Henry T Darch, Nadia L Cerminara, Iain D Gilchrist*, Richard Apps*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

16 Citations (Scopus)
101 Downloads (Pure)

Abstract

Beta frequency oscillations in scalp electroencephalography (EEG) recordings over the primary motor cortex have been associated with the preparation and execution of voluntary movements. Here, we test whether changes in beta frequency are related to the preparation of adapted movements in human, and whether such effects generalise to other species (cat). Eleven healthy adult humans performed a joystick visuomotor adaptation task. Beta (15-25 Hz) scalp EEG signals recorded over the motor cortex during a pre-movement preparatory phase were, on average, significantly reduced in amplitude during early adaptation trials compared to baseline, late adaptation, or aftereffect trials. The changes in beta were not related to measurements of reaction time or reach duration. We also recorded local field potential (LFP) activity within the primary motor cortex of three cats during a prism visuomotor adaptation task. Analysis of these signals revealed similar reductions in motor cortical LFP beta frequencies during early adaptation. This effect was present when controlling for any influence of the reaction time and reach duration. Overall, the results are consistent with a reduction in pre-movement beta oscillations predicting an increase in adaptive drive in upcoming task performance when motor errors are largest in magnitude and the rate of adaptation is greatest.

Original languageEnglish
Article number17946 (2020)
Number of pages12
JournalScientific Reports
Volume10
Issue number1
DOIs
Publication statusPublished - 21 Oct 2020

Research Groups and Themes

  • Cognitive Science
  • Visual Perception

Fingerprint

Dive into the research topics of 'Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive'. Together they form a unique fingerprint.
  • Research Data Storage Facility (RDSF)

    Alam, S. R. (Manager), Williams, D. A. G. (Manager) & Eccleston, P. E. (Manager)

    IT Services

    Facility/equipment: Facility

Cite this