Corticospinal excitability is enhanced after visuomotor adaptation and depends on learning rather than performance or error

Hamid F. Bagce, Soha Saleh, Sergei V. Adamovich, John W. Krakauer, Eugene Tunik

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

We used adaptation to high and low gains in a virtual reality setup of the hand to test competing hypotheses about the excitability changes that accompany motor learning. Excitability was assayed through changes in amplitude of motor evoked potentials (MEPs) in relevant hand muscles elicited with single-pulse transcranial magnetic stimulation (TMS). One hypothesis is that MEPs will either increase or decrease, directly reflecting the effect of low or high gain on motor output. The alternative hypothesis is that MEP changes are not sign dependent but rather serve as a marker of visuomotor learning, independent of performance or visual-to-motor mismatch (i.e., error). Subjects were required to make flexion movements of a virtual forefinger to visual targets. A gain of 1 meant that the excursions of their real finger and virtual finger matched. A gain of 0.25 ("low gain") indicated a 75% reduction in visual versus real finger displacement, a gain of 1.75 ("high gain") the opposite. MEP increases (>40%) were noted in the tonically activated task-relevant agonist muscle for both high- and low-gain perturbations after adaptation reached asymptote with kinematics matched to veridical levels. Conversely, only small changes in excitability occurred in a control task of pseudorandom gains that required adjustments to large errors but in which learning could not accumulate. We conclude that changes in corticospinal excitability are related to learning rather than performance or error.

Original languageEnglish (US)
Pages (from-to)1097-1106
Number of pages10
JournalJournal of neurophysiology
Volume109
Issue number4
DOIs
StatePublished - Feb 15 2013

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)
  • Physiology

Keywords

  • Motor evoked potential
  • Primary motor cortex
  • Sensorimotor cortex
  • Transcranial magnetic stimulation
  • Virtual reality

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