Disorder-specific alterations of transient oscillatory dynamics during sleep across cortical and subcortical networks

Transient sleep oscillations reflect the dynamic coordination of cortical and subcortical circuits, modulated by slow oscillatory activity. However, the disorder-specific signatures of these events across neurological, pain, and sleep disorders remain poorly characterized. In this exploratory study, we analyzed transient oscillatory dynamics in 99 individuals, including healthy controls and patients with narcolepsy type 1, non-REM parasomnia, idiopathic REM sleep behavior disorder, and fibromyalgia syndrome. Using slow oscillatory referenced time-frequency peak histograms, we applied principal and independent component analysis to uncover spectral and phase-coupling patterns across non-REM and REM stages. We identified reproducible, trait-like oscillatory structures in controls and disorder-specific deviations in patient groups, particularly during NREM sleep. Specifically, patients with narcolepsy type 1 and non-REM parasomnia exhibited altered fast sigma coupling and phase dispersion, while idiopathic REM sleep behavior disorder patients showed reduced fast sigma density and diminished phase synchrony, despite retention of spindle-like spectral structure. In internal cross-validation, slow oscillatory-power features supported robust group-level discrimination in select EEG derivations; however, broader validation in independent samples is required. These findings highlight distinctive, stage-specific microstructural alterations in sleep and pain pathologies and support the future potential of time-frequency peak analysis as a non-invasive tool for phenotyping thalamocortical and subcortical circuit function.

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Publication Details

Journal
Scientific Reports
Published
2026-01-20
DOI
https://doi.org/10.1038/s41598-025-33669-1
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Disorder-specific alterations of transient oscillatory dynamics during sleep across cortical and subcortical networks

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Scientific Reports
Sleep and Wakefulness Research
article

Disorder-specific alterations of transient oscillatory dynamics during sleep across cortical and subcortical networks

Peter J. Goadsby, Jan Rosenzweig, Nazanin Biabani, Adam Birdseye, Zoran Cvetković, Ivana Rosenzweig, Karl Morten, Sharon L. Naismith, Alexander Nesbitt, LIBORIO PARRINO, Panagis Drakatos, Olga Ivanenko, Seán Higgins, David O’Regan, Carlotta Mutti, Katarina Ilic
article en

Abstract

Transient sleep oscillations reflect the dynamic coordination of cortical and subcortical circuits, modulated by slow oscillatory activity. However, the disorder-specific signatures of these events across neurological, pain, and sleep disorders remain poorly characterized. In this exploratory study, we analyzed transient oscillatory dynamics in 99 individuals, including healthy controls and patients with narcolepsy type 1, non-REM parasomnia, idiopathic REM sleep behavior disorder, and fibromyalgia syndrome. Using slow oscillatory referenced time-frequency peak histograms, we applied principal and independent component analysis to uncover spectral and phase-coupling patterns across non-REM and REM stages. We identified reproducible, trait-like oscillatory structures in controls and disorder-specific deviations in patient groups, particularly during NREM sleep. Specifically, patients with narcolepsy type 1 and non-REM parasomnia exhibited altered fast sigma coupling and phase dispersion, while idiopathic REM sleep behavior disorder patients showed reduced fast sigma density and diminished phase synchrony, despite retention of spindle-like spectral structure. In internal cross-validation, slow oscillatory-power features supported robust group-level discrimination in select EEG derivations; however, broader validation in independent samples is required. These findings highlight distinctive, stage-specific microstructural alterations in sleep and pain pathologies and support the future potential of time-frequency peak analysis as a non-invasive tool for phenotyping thalamocortical and subcortical circuit function.

Scientific ReportsVol. 16(1)
University of Parma (IT), The University of Sydney (AU), Wellcome Centre for Human Neuroimaging (GB), King's College London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), University of Oxford (GB), Wellcome Trust (GB)
Wellcome Trust, National Institute for Health and Care Research, King's College London, NIHR Maudsley Biomedical Research Centre
Gender equality
Openalex Percentile: Top 84%
Sleep and Wakefulness Research
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