Alterations of neural network organisation during rapid eye movement sleep and slow-wave sleep in major depression: Implications for diagnosis, classification, and treatment. (30th September 2019)

• Record Type: Journal Article
• Authors: Hein, Matthieu; Lanquart, Jean-Pol; Loas, Gwenolé; Hubain, Philippe; Linkowski, Paul
• Is Part Of: Psychiatry research. Volume 291(2019)
• Page Start: 71
• Page End: 78
• Publication Date: 2019-09-30
• Subjects: Small-world network organisation -- REM sleep -- Slow-wave sleep -- Major depression; 24-HAM-D 24-item hamilton rating scale for depression -- AASM American academy of sleep medicine -- DSM IV-TR diagnostic and statistical manual of mental disorders, fourth edition, text revision -- ECT electroconvulsive therapy -- MVAR multivariable autoregressive -- REMS rapid eye movement sleep -- SWN small-world network -- SWS slow-wave sleep; Psychiatry -- Periodicals; Brain -- Imaging -- Periodicals; Psychiatry -- Periodicals; Diagnostic Imaging -- Periodicals; Psychiatrie -- Périodiques; Cerveau -- Imagerie pour le diagnostic -- Périodiques; 616.890754
• DOI: 10.1016/j.pscychresns.2019.08.003
• Languages: English
• ISSNs: 0925-4927

Abstract

Highlights: Network organisation during REMS is altered in major depression. These alterations are correlated with the severity of depression. These alterations are associated with the endogenous subtype of depression. Response to ECT is associated with altered network organisation during SWS. Alterations of sleep network organisation could be potential depression biomarkers. Abstract: The aim of this study was to empirically investigate the network organisation during rapid eye movement sleep (REMS) and slow-wave sleep (SWS) using the effective connectivity measured using the Granger causality to identify new potential biomarkers for the diagnosis, classification, and potential favourable response to treatment in major depression. Polysomnographic data were analysed from 24 healthy individuals and 16 major depressed individuals recruited prospectively. To obtain the 19×19 connectivity matrix of all possible pairwise combinations of electrodes by the Granger causality method from our electroencephalographic data, we used the Toolbox MVGC multivariate Granger causality. The computation of network measures was realised by importing these connectivity matrices into the EEGNET Toolbox. Major depressed individuals (versus healthy individuals) and those with endogenous depression (versus those with neurotic depression) present alterations of small-world network organisation during REMS, whereas major depressed individuals with potential favourable response to electroconvulsive therapy (versus those with potential unfavourable response) have a less efficient small-world network organisation during SWS. Thus, alterations in network organisation during REMS could be biomarkers for the diagnosis and classification of major depressive episodes, whereas alterations of network organisation during SWS could be a biomarker to predict potential favourable response to treatment by electroconvulsive therapy.