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

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Paper

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The authors' code

Markdown · 3 lines · 237 B · no license

  1. Code to automatically detect and analyse micro-arousals from mouse EEG data.
  2. The code is ordered into folders with "scripts" containing scripts used for analysis and "functions" containing custom functions that are used in the scripts.

README.md at commit e968029, no license · at the source

Overview

Authors: Natalie L. Hauglund1,2,3,4, Lukas B. Krone1,5,6, Martin Kahn7, Cristina Blanco-Duque1,7, Vladyslav V. Vyazovskiy1,3,4
  1. Department of Physiology, Anatomy and Genetics, University of Oxford,Oxford, OX1 3PT UK
  2. Department of Clinical Neurophysiology, Danish Center for Sleep Medicine,2600 Rigshospitalet, Glostrup, Denmark
  3. Sleep and Circadian Neuroscience Institute, University of Oxford,Oxford, OX1 3QU UK
  4. Kavli Institute of Nanoscience Discovery, University of Oxford,Sherrington Rd, Oxford, OX1 3QU UK
  5. Centre for Neural Circuits and Behaviour, University of Oxford,Oxford, OX1 3SR UK
  6. University Hospital of Psychiatry and Psychotherapy, University of Bern,Bern, Switzerland
  7. Picower Institute for Learning and Memory, Massachusetts Institute of Technology,Cambridge, MA 02139 USA
Institutions: University of Oxford (United Kingdom); Rigshospitalet (Denmark); University of Bern (Switzerland); Massachusetts Institute of Technology (United States)
Journal: Scientific reports, volume 16, issue 1, article 15391
Dates: received 16 May 2025; accepted 17 March 2026; published online 1 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41598-026-45192-y · PMID 41922415 · PMCID PMC13183868 · OpenAlex W7147366420
Open access: gold, a free copy (OpenAlex)
Status: empty repository
Categories: EEG (modality), other (modality), mouse (organism), systems (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, Single-unit activity, calcium imaging, Physiology & signal measures
Keywords: Neuroscience, Circadian rhythms and sleep
MeSH: Arousal*, Motor Cortex*, Sleep*, Wakefulness*, Algorithms, Animals, Electroencephalography, Electromyography, Male, Mice, Sleep, Slow-Wave (* major topic)
Topic: Sleep and Wakefulness Research (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Novo Nordisk Fonden (NNF23OC0082427); Wellcome Trust (203971/Z/16/Z, 109059/Z/15/Z, 098461/Z/12/Z); Berrow Foundation (Lord Florey Scholarship); UK Medical Research Council (MR/N026039/1); John Fell Fund, University of Oxford (131/032); RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) (BB/X008711/1)
Citations: cited by 1 paper (Europe PMC); 61 references in the paper

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.

Supplementary Information: The online version contains supplementary material available at 10.1038/s41598-026-45192-y.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above.

nhauglund/automatic-micro-arousal-detection

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Commit: e968029d8be11060f9ea436d9e701c62b191077c, 16 May 2025
Size: 11 files, 0 scripts
Software Heritage: not archived
Found in: “Data availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers
  • 28 September 2026: the link answers
1 file

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability

The micro-arousal detection algorithm code is available on GitHub: [https://github.com/NHauglund/automatic-micro-arousal-detection/](https:/github.com/NHauglund/automatic-micro-arousal-detection) . The datasets analysed in the current study is available from the corresponding author on reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 2 keywords, 11 MeSH terms, 6 funders, 59 references.

Cite

This paper

Hauglund, N. L., Krone, L. B., Kahn, M., Blanco-Duque, C., & Vyazovskiy, V. V. (2026). Cortical firing dynamics during micro-arousals vary with sleep/wake history and micro-arousal duration. Scientific reports, 16(1), 15391. https://doi.org/10.1038/s41598-026-45192-y

BibTeX

@article{hauglund2026cortical,
author = {Hauglund, Natalie L. and Krone, Lukas B. and Kahn, Martin and Blanco-Duque, Cristina and Vyazovskiy, Vladyslav V.},
title = {{Cortical firing dynamics during micro-arousals vary with sleep/wake history and micro-arousal duration}},
journal = {Scientific reports},
year = {2026},
month = apr,
volume = {16},
number = {1},
pages = {15391},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-45192-y},
url = {https://doi.org/10.1038/s41598-026-45192-y},
pmid = {41922415},
pmcid = {PMC13183868}
}

RIS

TY - JOUR
AU - Hauglund, Natalie L.
AU - Krone, Lukas B.
AU - Kahn, Martin
AU - Blanco-Duque, Cristina
AU - Vyazovskiy, Vladyslav V.
TI - Cortical firing dynamics during micro-arousals vary with sleep/wake history and micro-arousal duration
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/04/01
VL - 16
IS - 1
SP - 15391
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-45192-y
UR - https://doi.org/10.1038/s41598-026-45192-y
LA - en
ER -

CSL-JSON

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