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Related Experiment Video

Updated: May 26, 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

Neural correlates of performance variability during motor sequence acquisition.

Geneviève Albouy¹, Virginie Sterpenich, Gilles Vandewalle

¹Cyclotron Research Centre, University of Liège, B30, Sart Tilman, B-4000, Liège, Belgium.

|January 10, 2012

Summary

Motor learning involves performance changes and neural shifts. This study reveals how brain activity, particularly in the precuneus and caudate nucleus, correlates with motor performance consistency during finger sequence training.

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Area of Science:

Neuroscience
Motor Learning
Cognitive Science

Background:

Motor sequence learning improves speed and consistency over time.
Performance variability during learning reflects representational changes.
Neural basis of motor performance variability is not well understood.

Purpose of the Study:

Investigate the neural correlates of performance variability during motor sequence learning.
Characterize brain activity associated with consistent versus variable motor performance.

Main Methods:

Functional magnetic resonance imaging (fMRI) was used.
Participants trained on the Finger Tapping Task (FTT).
Analysis focused on neural activity and interactions during initial training.

Main Results:

Decreased precuneus and increased caudate nucleus responses correlated with performance consistency.
Variable performance showed enhanced interactions between hippocampus-fronto-parietal and striatum-frontal areas.
Dynamic large-scale brain network interactions were identified.

Conclusions:

Neural activity in the precuneus and caudate nucleus tracks motor performance consistency.
Specific large-scale brain network interactions are crucial for consistent motor behavior.
Findings provide insights into the neural implementation of motor learning and consistency.