OSCR

Shared local brain dynamics in pediatric and adult non-rapid eye movement parasomnias.

Overview

Authors: Julian Amacker1, Marco Veneruso2,3,4, Matteo Pereno3, Simone Ulzega1, Samuel Wehrli1, Sven Hirsch1, Lino Nobili2,4, Silvia Miano3,5, Mauro Manconi3,5,6, Anna Castelnovo3,5,7
  1. Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, 8820, Switzerland
  2. Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genova, Genova, 16132, Italy
  3. Sleep Medicine, Neurocenter of Southern Switzerland, Ospedale Civico, Lugano, 6900, Switzerland
  4. Child Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, Genova, 16147, Italy
  5. Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, 6900, Switzerland
  6. Department of Neurology, University Hospital, Inselspital, Bern, 3010, Switzerland
  7. University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, 3000, Switzerland
Journal: Sleep, volume 49, issue 7, article zsag123
Dates: received 15 January 2026; accepted 26 April 2026; published online 8 May 2026; in print July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1093/sleep/zsag123 · PMID 42102157 · PMCID PMC13357507 · OpenAlex W4414274257
Open access: hybrid, a free copy (OpenAlex)
Status: empty repository
Categories: EEG (modality), human (organism), sleep disorders (population)
Methods: Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions, Preprocessing, Physiology & signal measures
Keywords: confusional arousal, night terrors, somnambulism, sleepwalking, hdEEG, power, local sleep
MeSH: Brain*, Parasomnias*, Adult, Arousal, Child, Electroencephalography, Female, Humans, Male, Polysomnography, Sleep Arousal Disorders, Sleep, Slow-Wave (* major topic)
Topic: Sleep and Wakefulness Research (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 51 references in the paper

Abstract

Study Objectives: To characterize source-level cortical oscillatory dynamics before and during disorders of arousal (DoA) compared with physiological motor arousals in children and adults.

Materials and Methods: Nineteen children (10.9 ± 3.0 years) and 22 adults (30.3 ± 5.2 years) with DoA underwent 256-channel high-density EEG with video-polysomnography. Source-space spectral analysis in delta (0.5–4 Hz) and beta (18–30 Hz) bands was computed during stable slow-wave-sleep (-3 to -2 minutes before movement onset) and from -5 seconds to +15 seconds around movement onset for 84 DoA episodes and 146 physiological motor arousals. Linear mixed-effects models with permutation-based cluster correction were applied.

Results: Four reproducible cortical hallmarks emerged across age groups: (1) a widespread pre-onset increase in beta and delta relative to slow-wave-sleep; (2) sustained frontal delta enhancement over anterior cingulate, dorsomedial and ventromedial prefrontal, frontopolar, and orbitofrontal cortices; (3) concurrent centro-parietal delta suppression spanning posterior cingulate, precuneus, superior parietal, sensorimotor, and supplementary motor regions; and (4) persistent bilateral beta enhancement. Compared with physiological arousals, DoA arose from a “sleepier” background (higher delta, lower beta) and displayed greater beta coexisting with frontal delta persistence. Children showed broader pre-onset delta effects and more diffuse post-onset persistence, whereas adults exhibited a more anteriorly confined pattern.

Conclusion: DoA display a reproducible, age-invariant cortical signature, consistent with a spatially organized failure of arousal integration: posterior sensorimotor and awareness circuits partially reactivate, while anterior executive and emotion-regulatory regions remain sleep-like. These spatiotemporal fingerprints position hd-EEG source analysis as a translational tool for mechanistically informed diagnostic and therapeutic development.

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

Code

No file of the authors' code could be read here: it is described below, and read at its source.

julama/hdEEG_DOA

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 0 files, 0 scripts
Software Heritage: not archived
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers

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 datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. Additional videos can be accessed upon direct request to the corresponding author, in accordance with patient consent.

Templates of the custom-made codes in Matlab are available at https://github.com/julama/hdEEG_DOA.

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

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 7 keywords, 12 MeSH terms, 49 references.

Cite

This paper

Amacker, J., Veneruso, M., Pereno, M., Ulzega, S., Wehrli, S., Hirsch, S., Nobili, L., Miano, S., Manconi, M., & Castelnovo, A. (2026). Shared local brain dynamics in pediatric and adult non-rapid eye movement parasomnias. Sleep, 49(7), zsag123. https://doi.org/10.1093/sleep/zsag123

BibTeX

@article{amacker2026shared,
author = {Amacker, Julian and Veneruso, Marco and Pereno, Matteo and Ulzega, Simone and Wehrli, Samuel and Hirsch, Sven and Nobili, Lino and Miano, Silvia and Manconi, Mauro and Castelnovo, Anna},
title = {{Shared local brain dynamics in pediatric and adult non-rapid eye movement parasomnias}},
journal = {Sleep},
year = {2026},
month = jul,
volume = {49},
number = {7},
pages = {zsag123},
publisher = {Oxford University Press},
issn = {0161-8105},
doi = {10.1093/sleep/zsag123},
url = {https://doi.org/10.1093/sleep/zsag123},
pmid = {42102157},
pmcid = {PMC13357507}
}

RIS

TY - JOUR
AU - Amacker, Julian
AU - Veneruso, Marco
AU - Pereno, Matteo
AU - Ulzega, Simone
AU - Wehrli, Samuel
AU - Hirsch, Sven
AU - Nobili, Lino
AU - Miano, Silvia
AU - Manconi, Mauro
AU - Castelnovo, Anna
TI - Shared local brain dynamics in pediatric and adult non-rapid eye movement parasomnias
T2 - Sleep
J2 - Sleep
PY - 2026
DA - 2026/07/01
VL - 49
IS - 7
SP - zsag123
SN - 0161-8105
PB - Oxford University Press
DO - 10.1093/sleep/zsag123
UR - https://doi.org/10.1093/sleep/zsag123
LA - en
ER -

CSL-JSON

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