Public defence: Louise Frøstrup Follin

M.Sc. Louise Frøstrup Follin at Institute of Clinical Medicine will be defending the thesis “Narcolepsy after H1N1 vaccination: A data-driven approach for understanding electrophysiological signals and disease risk in vaccinated individuals” for the degree of PhD (Philosophiae Doctor).

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Due to copyright issues, an electronic copy of the thesis must be ordered from the faculty. For the faculty to have time to process the order, the order must be received by the faculty at the latest 2 days before the public defence. Orders received later than 2 days before the defence will not be processed. After the public defence, please address any inquiries regarding the thesis to the candidate.

Trial Lecture – time and place

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Adjudication committee

  • First opponent: Associate Professor Kaare Mikkelsen, Aarhus University, Denmark
  • Second opponent: Associate Professor Morten Engstrøm, NTNU: Norwegian University of Science and Technology
  • Third member and chair of the evaluation committee: Professor Shuo-Wang Qiao, University of Oslo

Chair of the Defence

Professor Emeritus Hans Erik Heier, University of Oslo

Principal Supervisor

Researcher Stine Knudsen Heier, University of Oslo

Summary

Narcolepsy type 1 (NT1) is a chronic neurological sleep disorder characterized by excessive daytime sleepiness, cataplexy, and disturbed nocturnal sleep. In Norway, a more than tenfold increase in new NT1 diagnoses occurred after the 2009/2010 H1N1 vaccination campaign. NT1 is caused by an autoimmune destruction of hypocretin-producing neurons in the hypothalamus, causing unstable sleep-wake regulation.

Night-time sleep fragmentation is a core feature of NT1, assessed by investigating sleep stages in 30-second epochs from an over-night polysomnography (PSG). As sleep is though biologically dynamic, 30-second epochs may be too coarse to capture brief transitions and microstructural dynamics.

In this PhD project, high-resolution sleep staging in 5-second mini-epochs was explored. Initial evaluation of existing automated sleep staging models showed that reliable mini-epoch scoring required model adaptation. By retraining the existing U-Sleep model using transfer learning on human-scored mini-epochs, performance comparable to human and automatic epoch scoring was achieved. Mini-epoch sleep staging with the optimized U-Sleep model was then applied to PSGs from NT1 patients and their non-narcoleptic siblings to assess sleep fragmentation.

Analyses showed that NT1 patients had significantly increased sleep fragmentation compared to their siblings, both with epochs and mini-epochs. Mini-epoch analyses, however, captured substantially more stage transitions and revealed patterns of sleep instability not detectable with epoch scoring.

With mini-epochs, but not 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.

Additional information

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Published Feb. 20, 2026 8:29 AM - Last modified Apr. 28, 2026 1:37 PM