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Related Concept Videos

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
Direct Motor Pathways01:11

Direct Motor Pathways

The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and the...

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Continuous motor sequence learning: cortical efficiency gains accompanied by striatal functional reorganization.

Joel Reithler1, Hanneke I van Mier, Rainer Goebel

  • 1Cognitive Neuroscience Department, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands. j.reithler@maastrichtuniversity.nl

Neuroimage
|April 6, 2010
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Summary

Motor skill learning enhances neural processing efficiency. Cortical networks adapt for smoother movement, while subcortical areas like the putamen show increased activation during recall after extensive practice.

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Area of Science:

  • Neuroscience
  • Motor Learning
  • Cognitive Psychology

Background:

  • Skill acquisition involves complex neural changes.
  • Understanding neural plasticity during motor learning is crucial.
  • Functional magnetic resonance imaging (fMRI) offers insights into brain activity during learning.

Purpose of the Study:

  • To investigate neural representation changes during continuous motor sequence learning.
  • To examine how nonvisual motor practice affects brain activity over time.
  • To differentiate between short-term and long-term learning effects on neural networks.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) to monitor brain activity.
  • Employed detailed behavioral recordings for continuous learning characterization.
  • Assessed neural changes within a single session and after extended practice.

Main Results:

  • Identified sequence-specific decreases in cortical activation with learning.
  • Observed consistent spatial layout of cortical networks post-practice.
  • Detected increased activation in the left putamen during recall of trained sequences.

Conclusions:

  • Continuous motor sequence learning correlates with efficient cortical processing.
  • Neural networks show adaptation through reduced activation.
  • Subcortical structures, specifically the putamen, play a role in recalling practiced sequences.