Interhemispheric asynchrony of NREM EEG at the beginning and end of sleep describes evening vigilance performance in patients undergoing diagnostic polysomnography.

Autor:	McCloy K; University of Queensland School of Electrical Engineering and Computer Science, Brisbane 4072, Australia., Duce B; Department of Respiratory and Sleep Medicine, Princess Alexandra Hospital, Brisbane, Australia., Dissanayaka N; UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia., Hukins C; Department of Respiratory and Sleep Medicine, Princess Alexandra Hospital, Brisbane, Australia., Abeyratne U; University of Queensland School of Electrical Engineering and Computer Science, Brisbane 4072, Australia.
Jazyk:	angličtina
Zdroj:	Physiological measurement [Physiol Meas] 2024 Nov 14; Vol. 45 (11). Date of Electronic Publication: 2024 Nov 14.
DOI:	10.1088/1361-6579/ad8f8f
Abstrakt:	Objective. Obstructive sleep apnea (OSA) is associated with deficits in vigilance. This work explored the temporal patterns of OSA-related events during sleep and vigilance levels measured by the psychomotor vigilance test (PVT) in patients undergoing polysomnography (PSG) for suspected OSA. Approach. The PVT was conducted prior to in-laboratory PSG for 80 patients suspected of having OSA. Three groups were formed based on PVT-RT-outcomes and participants were randomly allocated into Training ( n = 55) and Test ( n = 25) samples. Sleep epochs of non-rapid-eye movement (NREM) electroencephalographic (EEG) asynchrony data, and REM and NREM data for respiratory, arousal, limb movement and desaturation events were analysed. The data were segmented by sleep stage, by sleep blocks (SB) of stable Stage N2, Stage N3, mixed-stage NREM sleep (NXL), and, by Time of Night (TN) across sleep. Models associating this data with PVT groups were developed and tested. Main Results. A model using NREM EEG asynchrony data segmented by SB and TN achieved 81.9% accuracy in the Test Cohort. Models based on interhemispheric asynchrony SB data and OSA data segmented by TN achieved 80.6% and 79.5% respectively. Significance. Novel data segmentation methods via blocks of NXL and TN have improved our understanding of the relationship between sleep, OSA and vigilance. (Creative Commons Attribution license.)
Databáze:	MEDLINE
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