Motor learning enhances use-dependent plasticity

Firas Mawase, Shintaro Uehara, Amy J. Bastian, Pablo Celnik

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

Motor behaviors are shaped not only by current sensory signals but also by the history of recent experiences. For instance, repeated movements toward a particular target bias the subsequent movements toward that target direction. This process, called use-dependent plasticity (UDP), is considered a basic and goal-independent way of forming motor memories. Most studies consider movement history as the critical component that leads to UDP (Classen et al., 1998; Verstynen and Sabes, 2011). However, the effects of learning (i.e., improved performance) on UDP during movement repetition have not been investigated. Here, we used transcranial magnetic stimulation in two experiments to assess plasticity changes occurring in the primary motor cortex after individuals repeated reinforced and nonreinforced actions. The first experiment assessed whether learning a skill task modulates UDP. We found that a group that successfully learned the skill task showed greater UDP than a group that did not accumulate learning, but made comparable repeated actions. The second experiment aimed to understand the role of reinforcement learning in UDP while controlling for reward magnitude and action kinematics. We found that providing subjects with a binary reward without visual feedback of the cursor led to increased UDP effects. Subjects in the group that received comparable reward not associated with their actions maintained the previously induced UDP. Our findings illustrate how reinforcing consistent actions strengthens use-dependent memories and provide insight into operant mechanisms that modulate plastic changes in the motor cortex.

Original languageEnglish
Pages (from-to)2673-2685
Number of pages13
JournalJournal of Neuroscience
Volume37
Issue number10
DOIs
Publication statusPublished - 08-03-2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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