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Related Experiment Video

Updated: Jan 20, 2026

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Distinct neural signatures in a sensorimotor synchronization-continuation task.

Dae-Jin Kim1, Amanda R Bolbecker1, Alexandra B Moussa-Tooks1,2,3

  • 1Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States.

Imaging Neuroscience (Cambridge, Mass.)
|January 19, 2026
PubMed
Summary
This summary is machine-generated.

Internal models refine sensorimotor timing during finger tapping. Brain activity in sensorimotor and other networks rapidly increases and correlates with performance during initial task phases.

Keywords:
continuationfinger tappinginternal modelsensorimotor synchronizationsynchronization

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Motor Control

Background:

  • Optimal sensorimotor timing relies on internal models for task adaptation.
  • Finger tapping tasks involve externally-cued synchronization and un-cued continuation phases.
  • The neural basis for distinct within- and between-condition internal model adjustments is unclear.

Purpose of the Study:

  • To investigate the neural networks supporting internal model refinement during sensorimotor synchronization and continuation.
  • To determine if distinct neural processes underlie performance adjustments within and between task conditions.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to scan 100 neurotypical adults.
  • Participants performed a finger tapping task with distinct synchronization and continuation conditions.
  • Behavioral tapping accuracy and brain activity were analyzed during initial and subsequent phases of each condition.

Main Results:

  • Rapid improvements in tapping accuracy were observed in the initial seconds of both synchronization and continuation conditions.
  • Heightened functional activity across sensorimotor, prefrontal-parietal-temporal, and salience networks characterized the early phase of each condition.
  • This heightened activity correlated with improved tapping performance, suggesting rapid internal model refinement.

Conclusions:

  • Dynamic neural processes in sensorimotor, prefrontal-parietal-temporal, and salience networks support the rapid development and refinement of internal models for sensorimotor timing.
  • These findings suggest that distinct subprocesses within and between task conditions engage overlapping but dynamically modulated neural networks.
  • The study highlights the brain's adaptability in generating and employing internal models for precise motor control.