Evidence map›Paper›PMID 41593717›Full record

ArticleSleep2026

High-resolution sleep fragmentation assessment in narcolepsy type 1 and their non-narcoleptic siblings: a 5-s mini-epoch study.

Louise Frøstrup Follin, Rannveig Viste, Janita Vevelstad, Kristin Langdalen, Berit Hjelde Hansen, Ragnhild Kristine Berling Grande, Tobias Kaufmann, Julie Anja Engelhard Christensen, Alexander Neergaard Zahid, Marte Kathrine Viken and 2 more

Abstract read
In one paragraph

Article in Sleep, 2026. 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

12 authors.

Louise Frøstrup FollinNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.
Rannveig VisteNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.
Janita VevelstadNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.
Kristin LangdalenNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.
Berit Hjelde HansenNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.
Ragnhild Kristine Berling GrandeNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.
Tobias KaufmannCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Julie Anja Engelhard ChristensenNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-4225-3359
Alexander Neergaard ZahidAI Center of Excellence, WS Audiology, Lynge, Denmark.ORCID 0000-0001-6881-9766
Marte Kathrine VikenDepartment of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-3917-9269
Hilde T JuvoddenNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-6796-7177
Stine Knudsen-HeierNorwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-1946-1125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesNarcolepsy type 1 (NT1) is characterized by fragmented sleep, yet brief transitions may be concealed in traditional 30-s epochs. We therefore aimed to assess sleep fragmentation in NT1 patients and their non-narcoleptic siblings using 5-s mini-epochs.

methodsWe analyzed sleep stages from human-scored 30-s epochs and automatically (U-Sleep) scored 5-s mini-epochs in polysomnographies from 125 NT1 patients and their 100 non-narcoleptic siblings. Sleep fragmentation was quantified using transition indices and probabilities in epochs and mini-epochs, furthermore, stratified by 1st and 2nd night-half. Predictors (H1N1-vaccination, CSF hypocretin-1 deficiency severity (low [40-150 pg/mL]; undetectable [<40 pg/mL]), HLA-DQB1*06:02-positivity, narcolepsy core symptom severity) for sleep transitions were explored.

resultsNT1 patients had significantly higher all-stages and sleep-wake transition indices compared to siblings in epochs and mini-epochs. Both epoch and mini-epoch transition indices varied significantly from 1st to 2nd night-half. Only in mini-epochs, sleep-wake fragmentation was (a) higher in patients with severe core symptoms, and (b) increased in the 2nd night-half in NT1 patients with severe hypocretin-1 deficiency (<40 pg/mL) and/or severe core symptoms.

conclusionsOur findings suggest that sleep fragmentation, a core feature of NT1, is associated with disease severity and hypocretin deficiency severity when high-resolution sleep stages are analyzed. Five-second sleep staging and split-night analyses enhance detection of sleep instability and reveal new specific patterns and clinical associations. Automated mini-epoch analyses may improve future NT1 phenotyping and possibly its borderland by supplementing with clinically relevant high-resolution features otherwise hidden in traditional full-night 30-s epoch analyses. Statement of Significance This study demonstrates that high-resolution 5-s sleep staging provides more detailed sleep characterization than epochs and additionally uncovers clinically relevant sleep fragmentation patterns in narcolepsy type 1 which remain hidden in traditional 30-s analyses. By combining 5-s mini-epoch scoring with split-night analyses, we identified specific associations between disease severity and increased sleep-wake fragmentation. In mini-epochs, but not in epochs, sleep-wake fragmentation was significantly higher in patients with all core narcolepsy symptoms and increased significantly from the 1st to the 2nd night-half in patients with undetectable hypocretin-1 levels (<40 pg/mL) and/or all core narcolepsy symptoms. These findings highlight the clinical value of high-resolution, temporally sensitive sleep stage analyses for detailed phenotyping and detection of future disease biomarkers.

Indexed as

NarcolepsySiblingsSleep DeprivationSleep StagesAdolescentAdultChildFemaleHumansMaleOrexinsPolysomnographySeverity of Illness IndexYoung AdultOrexinsmini-epochsnarcolepsy type 1polysomnographysleep fragmentationsplit-night analysisU-sleep

Identifiers

PMID41593717
PMCPMC13163166

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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.