Interactions among learning stage, retention, and primary motor cortex excitability in motor skill learning

Masato Hirano, Shinji Kubota, Shigeo Tanabe, Yoshiki Koizume, Kozo Funase

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Background Previous studies have shown that primary motor cortex (M1) excitability is modulated by motor skill learning and that the M1 plays a crucial role in motor memory. However, the following questions remain: 1) At what stage do changes in M1 excitability occur? 2) Are learning-induced changes in leg M1 excitability associated with motor memory? Here, we did two experiments to answer these questions. Methods and results In experiment 1, subjects learned a visuomotor tracking task over two consecutive days. Before and after the task in Day 1, we recorded input-output curves of the motor evoked potentials (I-O curve) produced in the tibialis anterior muscle by transcranial magnetic stimulation. We found that the changes in M1 excitability were affected by learning stage. In addition, the changes in M1 excitability in Day 1 were correlated with the retention. In experiment 2, we recorded I-O curves before learning, after the fast-learning stage, and after learning. We found no changes in M1 excitability immediately after the fast-learning stage. Furthermore, a significant relationship between the length of slow-learning stage and the changes in M1 excitability was detected. Conclusions Previous studies have suggested that optimal motor commands are repeatedly used during the slow-learning stage. Therefore, present results indicate that changes in M1 excitability occur during the slow-learning stage and that such changes are proportional to motor skill retention because use-dependent plasticity occur by repetitive use of same motor commands during the slow-learning stage.

Original languageEnglish
Pages (from-to)1195-1204
Number of pages10
JournalBrain Stimulation
Volume8
Issue number6
DOIs
Publication statusPublished - 11-2015

All Science Journal Classification (ASJC) codes

  • Biophysics
  • General Neuroscience
  • Clinical Neurology

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