Javascript must be enabled to continue!
Facility-measured sleep electroencephalographic microstructures in long COVID
View through CrossRef
Abstract
Study Objectives
Sleep electroencephalographic (EEG) microstructures are related to brain functions, providing a window into the unrefreshing, non-restorative sleep and daytime fatigue symptoms in long COVID (LC) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). We aim to characterize sleep EEG microstructural differences in individuals with LC and age-sex-matched healthy controls (HC), and also ME/CFS, using overnight in-lab facility-measured polysomnography (PSG).
Methods
28 LC and 28 HC participants came from a single-center research study. 19 ME/CFS participants came from a single clinical center. Sleep EEG was processed to extract spectral band powers, spindles, slow oscillations (SO, 0.5-1 Hz), spindle-SO coupling, brain age index (BAI), alpha-delta patterns, and infraslow oscillation relative band power (ISO, 0.005-0.03 Hz).
Results
Compared to HC, LC had higher SO power during wake before sleep and REM sleep. In N2 and N3, LC showed a faster within-spindle frequency drop (chirp) and shorter SO peak duration in the frontal region. LC showed widespread, early spindle-SO coupling phase at SO trough for both fast and slow spindles, with early fast spindle-SO coupling associated with worse sleep quality. ME/CFS shared some differences with LC but had higher SO-uncoupled slow spindle densities in frontal and central regions, more alpha-delta patterns in the first half of the night, and widespread elevated ISO power in the slow sigma band (11-13 Hz).
Conclusions
These findings suggest that LC and ME/CFS are associated with plausibly pathological sleep EEG microstructure changes, illuminating the pathobiology of post-infectious processes on brain activity.
Clinical trial information
Trial 1: Sleep and Inflammatory Resolution Pathway, https://clinicaltrials.gov/study/NCT03377543, NCT03377543.
Trial 2: Pain in Long COVID-19: the Role of Sleep, https://clinicaltrials.gov/study/NCT05606211, NCT05606211.
Statement of Significance People with long COVID (LC) frequently experience sleep disturbances, non-restorative sleep, and fatigue. Sleep electroencephalographic (EEG) microstructures may offer objective markers of subjective sleep quality in LC. Here, we present an in-lab facility-measured sleep study. LC participants exhibited abnormally early spindle-slow oscillation (SO) coupling phase at the trough of the SO, and a faster drop in within-spindle frequency. The abnormally early spindle-SO coupling phase in LC was correlated with worse subjective sleep quality. Similar differences in EEG microstructural patterns were found in people with myalgic encephalomyelitis/chronic fatigue syndrome as well. The results demonstrate candidate electrophysiological abnormalities associated with the fatigue and non-restorative sleep experienced in LC.
Title: Facility-measured sleep electroencephalographic microstructures in long COVID
Description:
Abstract
Study Objectives
Sleep electroencephalographic (EEG) microstructures are related to brain functions, providing a window into the unrefreshing, non-restorative sleep and daytime fatigue symptoms in long COVID (LC) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).
We aim to characterize sleep EEG microstructural differences in individuals with LC and age-sex-matched healthy controls (HC), and also ME/CFS, using overnight in-lab facility-measured polysomnography (PSG).
Methods
28 LC and 28 HC participants came from a single-center research study.
19 ME/CFS participants came from a single clinical center.
Sleep EEG was processed to extract spectral band powers, spindles, slow oscillations (SO, 0.
5-1 Hz), spindle-SO coupling, brain age index (BAI), alpha-delta patterns, and infraslow oscillation relative band power (ISO, 0.
005-0.
03 Hz).
Results
Compared to HC, LC had higher SO power during wake before sleep and REM sleep.
In N2 and N3, LC showed a faster within-spindle frequency drop (chirp) and shorter SO peak duration in the frontal region.
LC showed widespread, early spindle-SO coupling phase at SO trough for both fast and slow spindles, with early fast spindle-SO coupling associated with worse sleep quality.
ME/CFS shared some differences with LC but had higher SO-uncoupled slow spindle densities in frontal and central regions, more alpha-delta patterns in the first half of the night, and widespread elevated ISO power in the slow sigma band (11-13 Hz).
Conclusions
These findings suggest that LC and ME/CFS are associated with plausibly pathological sleep EEG microstructure changes, illuminating the pathobiology of post-infectious processes on brain activity.
Clinical trial information
Trial 1: Sleep and Inflammatory Resolution Pathway, https://clinicaltrials.
gov/study/NCT03377543, NCT03377543.
Trial 2: Pain in Long COVID-19: the Role of Sleep, https://clinicaltrials.
gov/study/NCT05606211, NCT05606211.
Statement of Significance People with long COVID (LC) frequently experience sleep disturbances, non-restorative sleep, and fatigue.
Sleep electroencephalographic (EEG) microstructures may offer objective markers of subjective sleep quality in LC.
Here, we present an in-lab facility-measured sleep study.
LC participants exhibited abnormally early spindle-slow oscillation (SO) coupling phase at the trough of the SO, and a faster drop in within-spindle frequency.
The abnormally early spindle-SO coupling phase in LC was correlated with worse subjective sleep quality.
Similar differences in EEG microstructural patterns were found in people with myalgic encephalomyelitis/chronic fatigue syndrome as well.
The results demonstrate candidate electrophysiological abnormalities associated with the fatigue and non-restorative sleep experienced in LC.
Related Results
Acupuncture as therapeutic resource in patient with bruxism
Acupuncture as therapeutic resource in patient with bruxism
Bruxism is the harmful habit of clenching or grinding the teeth during the day and / or night, with unconscious pattern, with particular intensity and frequency, outside the functi...
0279 Sleep Hygiene for Sleep Health in the General Population: What Does Data From Consumer Sleep Technology Tell Us?
0279 Sleep Hygiene for Sleep Health in the General Population: What Does Data From Consumer Sleep Technology Tell Us?
Abstract
Introduction
Despite being used and widely recommended since the 1970s, few studies have examined whether adherence to ...
Sleep characteristics and cardiometabolic disease risk factors in corporate executives
Sleep characteristics and cardiometabolic disease risk factors in corporate executives
SUMMARY
Hours spent in work and sleep comprise the majority of time in a typical day of working adults. As a result, the workplace is a key setting for public health action. Among ...
Burden of the Beast
Burden of the Beast
Introduction
Throughout the COVID-19 pandemic, and its fluctuating waves of infections and the emergence of new variants, Indigenous populations in Australia and worldwide have re...
Determining the level of insomnia in postpartum women, comparing their age and child’s age
Determining the level of insomnia in postpartum women, comparing their age and child’s age
IntroductionStudies have shown that postpartum women are more affected by sleep disorders than women who have not given birth. Reasons for sleep disturbances include insufficient s...
Circuits and mechanisms controlling SW-REM alternation in sleep
Circuits and mechanisms controlling SW-REM alternation in sleep
Sleep is one of the fundamental requirements of all animals from nematodes to humans. It appears in different formats with shared features such as reduced muscle activities and red...
0202 Predicting Sleep Inertia in a Biomathematical Model of Fatigue and Performance: A Novel Approach
0202 Predicting Sleep Inertia in a Biomathematical Model of Fatigue and Performance: A Novel Approach
Abstract
Introduction
Biomathematical models of fatigue typically include sleep inertia as an additive process during wakefulnes...

