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Cortical firing dynamics during micro-arousals vary with sleep/wake history and micro-arousal duration

Abstract:
Non-rapid eye movement (NREM) sleep is not uniform but characterized by brief intrusions of wake-like brain activity and increased muscle tonus known as micro-arousals or brief awakenings. Although micro-arousals are an inherent feature of human and animal sleep, knowledge about the neural correlates of micro-arousals is sparse. We here developed an algorithm for automatic detection of micro-arousals based on EMG activity and used it to analyse the associated laminar neural activity in the motor cortex in mice. Our analysis showed that short micro-arousals with a duration below 5 s were associated with decreased cortical firing, while longer micro-arousals with a duration of 5–10 s were associated with increased firing in a similar manner to transitions to wakefulness. Analysis of single-channel firing showed that some channels exhibited increased activity immediately prior to micro-arousals, while others exhibited decreased activity. Slow wave activity (SWA, 1–4 Hz) immediately after micro-arousals was tightly correlated with sleep pressure and even surpassed average SWA levels during NREM sleep in sleep deprived animals. This study provides new insights into the neural mechanisms associated with micro-arousals and identifies a new link between sleep architecture and sleep homeostasis.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
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Institution:
University of Oxford
Role:
Author
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Institution:
University of Oxford
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Author
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Institution:
University of Oxford
Role:
Author


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Funder identifier:
10.13039/501100009708
Grant:
NNF23OC0082427
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Funder identifier:
https://ror.org/00cwqg982
Grant:
BB/X008711/1
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Funder identifier:
10.13039/501100004789
Grant:
131/032
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Funder identifier:
https://ror.org/03x94j517
Grant:
MR/N026039/1
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Funder identifier:
https://ror.org/029chgv08
Grant:
203971/Z/16/Z


Publisher:
Nature Research
Journal:
Scientific Reports More from this journal
Volume:
16
Issue:
1
Article number:
15391
Publication date:
2026-04-01
Acceptance date:
2026-03-17
DOI:
EISSN:
2045-2322
ISSN:
2045-2322


Language:
English
Keywords:
Source identifiers:
4060046
Deposit date:
2026-05-19
ARK identifier:
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