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

Read full text
Authors: Nazanin Biabani, Katarina Ilic, Adam Birdseye, Olga Ivanenko, Seán Higgins, Jan Rosenzweig, Zoran Cvetković, Alexander Nesbitt, Carlotta Mutti, LIBORIO PARRINO, Sharon L. Naismith, Panagis Drakatos
+5 more Karl Morten, David O’Regan, Peter J. Goadsby, Robert Leech, Ivana Rosenzweig
Cited by: 2
References: 62

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.

Fields of Study & Subjects

Sleep and Wakefulness Research EEG and Brain-Computer Interfaces Sleep and Work-Related Fatigue

Publication details

Journal / source
Scientific Reports
Publisher
Springer Science and Business Media LLC
Volume
16
Issue
1
Pages
3630–3630
Publication date
20 January 2026
Language
EN