期刊
CURRENT BIOLOGY
卷 32, 期 11, 页码 2349-+出版社
CELL PRESS
DOI: 10.1016/j.cub.2022.04.045
关键词
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资金
- Wellcome Trust/Royal Society Sir Henry Dale Fellowship [107672/Z/15/Z]
- ERC Consolidator grant [101001121]
- European Research Council (ERC) [101001121] Funding Source: European Research Council (ERC)
This study explores the role of sleep spindles in memory consolidation by using high-density scalp electroencephalography (EEG) and polysomnography (PSG). The results show that sleep spindles are most pronounced over learning-related cortical areas and the extent to which spindles track learning patterns predicts memory consolidation.
Memory consolidation-the transformation of labile memory traces into stable long-term representations-is facilitated by post-learning sleep. Computational and biophysical models suggest that sleep spindles may play a key mechanistic role for consolidation, igniting structural changes at cortical sites involved in prior learning. Here, we tested the resulting prediction that spindles are most pronounced over learning-related cortical areas and that the extent of this learning-spindle overlap predicts behavioral measures of memory consolidation. Using high-density scalp electroencephalography (EEG) and polysomnography (PSG) in healthy volunteers, we first identified cortical areas engaged during a temporospatial associative memory task (power decreases in the alpha/beta frequency range, 6-20 Hz). Critically, we found that participant-specific topographies (i.e., spatial distributions) of post-learning sleep spindle amplitude correlated with participant-specific learning topographies. Importantly, the extent to which spindles tracked learning patterns further predicted memory consolidation across participants. Our results provide empirical evidence for a role of post-learning sleep spindles in tracking learning networks, thereby facilitating memory consolidation.
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