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Related Experiment Videos

Parallel, but Dissociable, Processing in Discrete Corticostriatal Inputs Encodes Skill Learning.

David A Kupferschmidt1, Konrad Juczewski2, Guohong Cui3

  • 1Section on Synaptic Pharmacology & In Vivo Neural Function, Laboratory for Integrative Neuroscience, National Institute on Alcohol Abuse and Alcoholism, US National Institutes of Health, Rockville, MD, USA; Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, US National Institutes of Health, Bethesda, MD, USA.

Neuron
|October 13, 2017
PubMed
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This summary is machine-generated.

Researchers studied how brain circuits learn new motor skills. They found that specific brain pathways disengage as skills improve, with one pathway

Area of Science:

  • Neuroscience
  • Motor Learning
  • Computational Neuroscience

Background:

  • Skill acquisition involves changes in cortical and striatal function.
  • The precise role of distinct corticostriatal projections in motor skill learning in vivo is not fully understood.
  • Existing models need refinement regarding parallel processing in associative and sensorimotor circuits.

Purpose of the Study:

  • To investigate the in vivo function of discrete corticostriatal projections during skill learning.
  • To determine how associative and sensorimotor inputs contribute to the transition from novel actions to refined motor skills.
  • To explore the relationship between projection-specific activity dynamics and individual differences in learning.

Main Methods:

  • Utilized novel fiber photometry techniques to monitor real-time neural activity.
Keywords:
associativecortexcorticostriatallearningmodulationpresynapticsensorimotorskillstriatum

Related Experiment Videos

  • Assessed activity in associative inputs (mPFC to DMS) and sensorimotor inputs (MC to DLS).
  • Analyzed projection-specific and compartment-specific neuronal activity during action learning and refinement.

    • Main Results:

    • Associative and sensorimotor inputs co-engage during early action learning.
    • These inputs disengage differentially as actions become more refined.
    • Disengagement of associative inputs, but not sensorimotor inputs, predicts subsequent skill learning success.
    • Divergent somatic and presynaptic engagement suggests in vivo modulation of presynaptic corticostriatal function.

    Conclusions:

    • Findings challenge and refine existing views of corticostriatal function by revealing parallel processing.
    • Neuronal projection- and compartment-specific activity dynamics encode and predict action learning.
    • Differential disengagement of specific brain circuits is crucial for motor skill refinement.