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Hebbian priming of human motor learning

Author

Listed:
  • Jonas Rud Bjørndal

    (University of Copenhagen)

  • Mikkel Malling Beck

    (University of Copenhagen
    Copenhagen University Hospital Amager and Hvidovre)

  • Lasse Jespersen

    (University of Copenhagen)

  • Lasse Christiansen

    (Copenhagen University Hospital Amager and Hvidovre
    University of Copenhagen)

  • Jesper Lundbye-Jensen

    (University of Copenhagen)

Abstract

Motor learning relies on experience-dependent plasticity in relevant neural circuits. In four experiments, we provide initial evidence and a double-blinded, sham-controlled replication (Experiment I-II) demonstrating that motor learning involving ballistic index finger movements is improved by preceding paired corticospinal-motoneuronal stimulation (PCMS), a human model for exogenous induction of spike-timing-dependent plasticity. Behavioral effects of PCMS targeting corticomotoneuronal (CM) synapses are order- and timing-specific and partially bidirectional (Experiment III). PCMS with a 2 ms inter-arrival interval at CM-synapses enhances learning and increases corticospinal excitability compared to control protocols. Unpaired stimulations did not increase corticospinal excitability (Experiment IV). Our findings demonstrate that non-invasively induced plasticity interacts positively with experience-dependent plasticity to promote motor learning. The effects of PCMS on motor learning approximate Hebbian learning rules, while the effects on corticospinal excitability demonstrate timing-specificity but not bidirectionality. These findings offer a mechanistic rationale to enhance motor practice effects by priming sensorimotor training with individualized PCMS.

Suggested Citation

  • Jonas Rud Bjørndal & Mikkel Malling Beck & Lasse Jespersen & Lasse Christiansen & Jesper Lundbye-Jensen, 2024. "Hebbian priming of human motor learning," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49478-5
    DOI: 10.1038/s41467-024-49478-5
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    References listed on IDEAS

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    1. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
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