Corticospinal correlates of fast and slow adaptive processes in motor learning

Adjmal M.E. Sarwary, Miles Wischnewski, Dennis J.L.G. Schutter, Luc P.J. Selen, W. Pieter Medendorp*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Recent computational theories and behavioral observations suggest that motor learning is supported by multiple adaptation processes, operating on different timescales, but direct neural evidence is lacking. We tested this hypothesis by applying transcranial magnetic stimulation over motor cortex in 16 human subjects during a validated reach adaptation task. Motor-evoked potentials (MEPs) and cortical silent periods (CSPs) were recorded from the biceps brachii to assess modulations of corticospinal excitability as indices for corticospinal plasticity. Guided by a two-state adaptation model, we show that the MEP reflects an adaptive process that learns quickly but has poor retention, while the CSP correlates with a process that responds more slowly but retains information well. These results provide a physiological link between models of motor learning and distinct changes in corticospinal excitability. Our findings support the relationship between corticospinal gain modulations and the adaptive processes in motor learning. NEW & NOTEWORTHY Computational theories and behavioral observations suggest that motor learning is supported by multiple adaptation processes, but direct neural evidence is lacking. We tested this hypothesis by applying transcranial magnetic stimulation over human motor cortex during a reach adaptation task. Guided by a two-state adaptation model, we show that the motor-evoked potential reflects a process that adapts and decays quickly, whereas the cortical silent period reflects slow adaptation and decay.

Original languageEnglish
Pages (from-to)2011-2019
Number of pages9
JournalJournal of Neurophysiology
Volume120
Issue number4
DOIs
Publication statusPublished - Oct 2018
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by an internal grant from the Donders Centre for Cognition and by grants from the European Research Council (EU-ERC-283567) and the Netherlands Organization for Scientific Research (NWO-VICI: 453–11– 001) to W. P. Medendorp.

Funding Information:
This work was supported by an internal grant from the Donders Centre for Cognition and by grants from the European Research Council (EU-ERC-283567) and the Netherlands Organization for Scientific Research (NWO-VICI: 453–11–001) to W. P. Medendorp.

Publisher Copyright:
© 2018 American Physiological Society. All rights reserved.

Funding

This work was supported by an internal grant from the Donders Centre for Cognition and by grants from the European Research Council (EU-ERC-283567) and the Netherlands Organization for Scientific Research (NWO-VICI: 453–11– 001) to W. P. Medendorp. This work was supported by an internal grant from the Donders Centre for Cognition and by grants from the European Research Council (EU-ERC-283567) and the Netherlands Organization for Scientific Research (NWO-VICI: 453–11–001) to W. P. Medendorp.

Keywords

  • Adaptation
  • CSP
  • Force field
  • MEP
  • State-space model

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