Sleep slow oscillations favour local cortical plasticity underlying the consolidation of reinforced procedural learning in human sleep.

摘要: We investigated changes of slow-wave activity and sleep slow oscillations in the night following procedural learning boosted by reinforcement learning, how these correlate with behavioural output. In Task session, participants had to reach a visual target adapting cursor's movements compensate an angular deviation introduced experimentally, while Control session no was applied. The task repeated at 13:00 hours, 17:00 hours 23:00 hours before sleep, 08:00 hours after sleep. angle set 15° (13:00 hours 17:00 hours) increased 45° (reinforcement) 08:00 hours. Both for nights, high-density electroencephalogram recordings were carried out (23:30-19:30 hours). as compared showed increases of: (a) (absolute power) over whole scalp; (b) (relative left centro-parietal areas; (c) rate sensorimotor premotor (d) amplitude pre-down up states regions, right parietal regions; (e) sigma crowning state regions. After night, we found improvement performance showing correlations premotor, These findings suggest key role memories consolidation. diverse components selectively reflect network activations related reinforced visuomotor task. Indeed, areas specifically involved stand those significant association between overnight performance.