4.8 Article

Slow oscillation-spindle coupling strength predicts real-life gross-motor learning in adolescents and adults

Journal

ELIFE
Volume 11, Issue -, Pages -

Publisher

eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.66761

Keywords

sleep; memory consolidation; cross-frequency coupling; motor memory; sleep spindles; development; Human

Categories

Funding

  1. Austrian Science Fund [W1233-G17, P25000-B24]
  2. Deutsche Forschungsgemeinschaft [HE 8329/2-1]
  3. Hertie Network of Excellence in Clinical Neuroscience
  4. Jung Foundation for Science and Research
  5. Austrian Science Fund (FWF) [P25000] Funding Source: Austrian Science Fund (FWF)

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This study compared adolescents and adults learning to juggle and found that sleep and time of day impacted juggling performance. Importantly, adults showed more precise sleep oscillation-spindle coupling than adolescents, and this coupling predicted changes in task proficiency and learning curve.
Previously, we demonstrated that precise temporal coordination between slow oscillations (SOs) and sleep spindles indexes declarative memory network development (Hahn et al., 2020). However, it is unclear whether these findings in the declarative memory domain also apply in the motor memory domain. Here, we compared adolescents and adults learning juggling, a real-life gross-motor task. Juggling performance was impacted by sleep and time of day effects. Critically, we found that improved task proficiency after sleep lead to an attenuation of the learning curve, suggesting a dynamic juggling learning process. We employed individualized cross-frequency coupling analyses to reduce inter- and intragroup variability of oscillatory features. Advancing our previous findings, we identified a more precise SO-spindle coupling in adults compared to adolescents. Importantly, coupling precision over motor areas predicted overnight changes in task proficiency and learning curve, indicating that SO-spindle coupling relates to the dynamic motor learning process. Our results provide first evidence that regionally specific, precisely coupled sleep oscillations support gross-motor learning.

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