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Related Experiment Video

Updated: Apr 27, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

The Human Motor System Supports Sequence-Specific Representations over Multiple Training-Dependent Timescales.

Nicholas F Wymbs¹, Scott T Grafton²

¹Department of Physical Medicine and Rehabilitation, Johns Hopkins Medical Institution, Baltimore, MD, USA.

Cerebral Cortex (New York, N.Y. : 1991)

|June 28, 2014

Summary

Motor skill learning involves dynamic brain activity changes. Brain regions adapt over time, showing initial increases then decreases in activity, followed by specialized representations with extensive training.

Keywords:

SMA motor learning repetition suppression sensorimotor skill learning

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Last Updated: Apr 27, 2026

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Area of Science:

Neuroscience
Motor Control
Cognitive Science

Background:

Motor sequence learning involves complex neural processes.
Brain activity patterns change during skill acquisition.
Understanding these changes aids in optimizing training.

Purpose of the Study:

To investigate how training duration influences motor system activity during sequence learning.
To determine if motor system activity changes follow specific timescales.
To identify brain regions involved in representing learned motor sequences.

Main Methods:

Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
Repetition suppression (RS) technique isolated sequence-specific neural representations.
Subjects underwent 6 weeks of motor sequence training.

Main Results:

Initial training rapidly increased RS in primary and secondary motor areas.
Further training led to decreased RS, indicating skill-specific efficiency.
Prolonged training resulted in slowly increasing RS in sensorimotor cortex, SMA, premotor cortex, and cerebellum, suggesting specialization.

Conclusions:

Motor sequence learning involves dynamic neural changes across multiple timescales.
The motor system flexibly adapts representations based on training experience.
Specific brain regions exhibit distinct patterns of activity modulation during skill acquisition and consolidation.