ArticleBiology of sex differences2020
Alterations of neural network organization during REM sleep in women: implication for sex differences in vulnerability to mood disorders.
Article in Biology of sex differences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Age-dependent modulations of hemispheric small-world networks in different eye states: resting-state electroencephalogram research.GeroScience · 2026Article
- Risk of Major Depression Associated with Excessive Daytime Sleepiness in Apneic Individuals.Clocks & sleep · 2025Article
- The affective factors of depression symptoms in hypertensive patients and the protective effect of physical activity.Sleep & breathing = Schlaf & Atmung · 2024Article
- Sex Differences in Sleep Architecture After Traumatic Brain Injury: Potential Implications on Short-Term Episodic Memory and Recovery.Neurotrauma reports · 2024Article
- Out-of-home placement, sleep problems, and later mental health and crime: A prospective investigation.The American journal of orthopsychiatry · 2022Article
- Women's mood at high altitude. sexual dimorphism in hypoxic stress modulation by the tryptophan-melatonin axis.Frontiers in physiology · 2022Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSleep plays an important role in vulnerability to mood disorders. However, despite the existence of sex differences in vulnerability to mood disorders, no study has yet investigated the sex effect on sleep network organization and its potential involvement in vulnerability to mood disorders. The aim of our study was to empirically investigate the sex effect on network organization during REM and slow-wave sleep using the effective connectivity measured by Granger causality.
methodsPolysomnographic data from 44 healthy individuals (28 men and 16 women) recruited prospectively were analysed. To obtain the 19 × 19 connectivity matrix of all possible pairwise combinations of electrodes by Granger causality method from our EEG data, we used the Toolbox MVGC multivariate Granger causality. The computation of the network measures was realized by importing these connectivity matrices into EEGNET Toolbox.
resultsIn men and women, all small-world coefficients obtained are compatible with a small-world network organization during REM and slow-wave sleep. However, compared to men, women present greater small-world coefficients during REM sleep as well as for all EEG bands during this sleep stage, which indicates the presence of a small-world network organization less marked during REM sleep as well as for all EEG bands during this sleep stage in women. In addition, in women, these small-world coefficients during REM sleep as well as for all EEG bands during this sleep stage are positively correlated with the presence of subclinical symptoms of depression.
conclusionsThus, the highlighting of these sex differences in network organization during REM sleep indicates the presence of differences in the global and local processing of information during sleep between women and men. In addition, this small-world network organization less marked during REM sleep appears to be a marker of vulnerability to mood disorders specific to women, which opens up new perspectives in understanding sex differences in the occurrence of mood disorders.
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