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Related Experiment Video

Updated: May 7, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

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Published on: May 3, 2018

Caudate resting connectivity predicts implicit probabilistic sequence learning.

Chelsea M Stillman1, Evan M Gordon, Jessica R Simon

  • 11 Department of Psychology, Georgetown University , Washington, District of Columbia.

Brain Connectivity
|October 5, 2013
PubMed
Summary
This summary is machine-generated.

Resting-state brain connectivity in the caudate predicts implicit probabilistic sequence learning (IPSL) ability. Stronger connections to the medial temporal lobe and weaker connections to premotor regions correlate with better unconscious learning.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neuroimaging

Background:

  • Implicit probabilistic sequence learning (IPSL) is crucial for acquiring language and daily behaviors.
  • Understanding the neural basis of IPSL, particularly individual differences, is key to cognitive neuroscience.

Purpose of the Study:

  • To investigate if resting-state functional connectivity networks of the caudate predict individual differences in IPSL performance.
  • To identify specific brain regions whose connectivity with the caudate is associated with unconscious sequence learning.

Main Methods:

  • Whole-brain resting-state functional connectivity maps were generated using a bilateral dorsal caudate (DC) seed.
  • Voxelwise correlations were performed between DC connectivity and IPSL performance metrics.
  • Connectivity was also correlated with overall response speed to differentiate learning effects.

Main Results:

  • Higher IPSL scores were associated with stronger resting-state connectivity between the DC and the right medial temporal lobe.
  • Lower resting-state connectivity between the DC and premotor regions involved in motor planning predicted better learning.
  • Overall response speed did not correlate significantly with these connectivity patterns.

Conclusions:

  • The strength of a striato-cortical network in the resting brain predicts an individual's ability to learn probabilistic regularities unconsciously.
  • Resting-state functional connectivity of the caudate nucleus serves as a neural marker for individual differences in implicit sequence learning.