Evidence map›Paper›PMID 38790471›Full record

ArticleBrain sciences2024

Movement Termination of Slow-Wave Sleep-A Potential Biomarker?

Yvonne Höller, Stefanía Guðrún Eyjólfsdóttir, Matej Rusiňák, Lárus Steinþór Guðmundsson, Eugen Trinka

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Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yvonne HöllerFaculty of Psychology, University of Akureyri, 600 Akureyri, Iceland.ORCID 0000-0002-1727-8557
Stefanía Guðrún EyjólfsdóttirFaculty of Psychology, University of Akureyri, 600 Akureyri, Iceland.
Matej RusiňákFaculty of Psychology, University of Akureyri, 600 Akureyri, Iceland.
Lárus Steinþór GuðmundssonFaculty of Pharmaceutical Sciences, University of Iceland, 102 Reykjavík, Iceland.ORCID 0000-0003-4660-1111
Eugen TrinkaDepartment of Neurology, Neurointensive Care and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, 5020 Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The duration of slow-wave sleep (SWS) is related to the reported sleep quality and to the important variables of mental and physical health. The internal cues to end an episode of SWS are poorly understood. One such internal cue is the initiation of a body movement, which is detectable as electromyographic (EMG) activity in sleep-electroencephalography (EEG). In the present study, we characterized the termination of SWS episodes by movement to explore its potential as a biomarker. To this end, we characterized the relation between the occurrence of SWS termination by movement and individual characteristics (age, sex), SWS duration and spectral content, chronotype, depression, medication, overnight memory performance, and, as a potential neurological application, epilepsy. We analyzed 94 full-night EEG-EMG recordings (75/94 had confirmed epilepsy) in the video-EEG monitoring unit of the EpiCARE Centre Salzburg, Austria. Segments of SWS were counted and rated for their termination by movement or not through the visual inspection of continuous EEG and EMG recordings. Multiple linear regression was used to predict the number of SWS episodes that ended with movement by depression, chronotype, type of epilepsy (focal, generalized, no epilepsy, unclear), medication, gender, total duration of SWS, occurrence of seizures during the night, occurrence of tonic-clonic seizures during the night, and SWS frequency spectra. Furthermore, we assessed whether SWS movement termination was related to overnight memory retention. According to multiple linear regression, patients with overall longer SWS experienced more SWS episodes that ended with movement (t = 5.64;

Indexed as

epilepsySertralinesleep EMGsleep movementsslow-wave sleep

Identifiers

PMID38790471
PMCPMC11120257

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.