Frontiers in Behavioral Neuroscience (Sep 2024)

Sleep improves accuracy, but not speed, of generalized motor learning in young and older adults and in individuals with Parkinson’s disease

  • Saar Lanir-Azaria,
  • Saar Lanir-Azaria,
  • Rakefet Chishinski,
  • Riva Tauman,
  • Riva Tauman,
  • Yuval Nir,
  • Yuval Nir,
  • Yuval Nir,
  • Yuval Nir,
  • Yuval Nir,
  • Nir Giladi,
  • Nir Giladi,
  • Nir Giladi

DOI
https://doi.org/10.3389/fnbeh.2024.1466696
Journal volume & issue
Vol. 18

Abstract

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An essential aspect of motor learning is generalizing procedural knowledge to facilitate skill acquisition across diverse conditions. Here, we examined the development of generalized motor learning during initial practice-dependent learning, and how distinct components of learning are consolidated over longer timescales during wakefulness or sleep. In the first experiment, a group of young healthy volunteers engaged in a novel motor sequence task over 36 h in a two-arm experimental design (either morning-evening-morning, or evening-morning-evening) aimed at controlling for circadian confounders. The findings unveiled an immediate, rapid generalization of sequential learning, accompanied by an additional long-timescale performance gain. Sleep modulated accuracy, but not speed, above and beyond equivalent wake intervals. To further elucidate the role of sleep across ages and under neurodegenerative disorders, a second experiment utilized the same task in a group of early-stage, drug-naïve individuals with Parkinson’s disease and in healthy individuals of comparable age. Participants with Parkinson’s disease exhibited comparable performance to their healthy age-matched group with the exception of reduced performance in recalling motor sequences, revealing a disease-related cognitive shortfall. In line with the results found in young subjects, both groups exhibited improved accuracy, but not speed, following a night of sleep. This result emphasizes the role of sleep in skill acquisition and provides a potential framework for deeper investigation of the intricate relationship between sleep, aging, Parkinson’s disease, and motor learning.

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