The modifications of the long-range temporal correlations of the sleep EEG due to major depressive episode disappear with the status of remission

• Published in: Neuroscience 2007-09, Vol.148 (3), p.782-793
• Main Authors: Leistedt, S, Dumont, M, Coumans, N, Lanquart, J.-P, Jurysta, F, Linkowski, P
• Format: Article
• Language: English
• Subjects: Action Potentials - physiology; Adult; Biological and medical sciences; Biomarkers; Cerebral Cortex - physiopathology; depression; Depressive Disorder - complications; Depressive Disorder - physiopathology; EEG; Electroencephalography; energy fluctuations; Fundamental and applied biological sciences. Psychology; Humans; Middle Aged; Nerve Net - physiopathology; Neurology; Neurons - physiology; Recovery of Function - physiology; remission; scaling properties; sleep; Sleep - physiology; Sleep Wake Disorders - etiology; Sleep Wake Disorders - physiopathology; Sleep, REM - physiology; Sleep. Vigilance; Time; Time Factors; Vertebrates: nervous system and sense organs
• ISSN: 0306-4522; 1873-7544
• DOI: 10.1016/j.neuroscience.2007.06.032

Abstract Objective The aim of the present study is to investigate the scaling properties of the sleep electroencephalogram (EEG) in remitted depressed men, and to evaluate if a past history of major depressive disorder (MDD) could modify significantly and definitively, as a “scar marker,” the dynamics of the sleep EEG time series. Methodology Whole night sleep electroencephalogram signals were recorded in 24 men: 10 untreated depressed men in full to partial remission (42.43±5.62 years) and 14 healthy subjects (42.8±8.55 years). Scaling properties in these time series were investigated with detrended fluctuation analysis (DFA) (time range: 0.16–2.00 s). The scaling exponent α was determined in stage 2, in slow wave sleep (stages 3 and 4), and during rapid eye movement (REM) sleep. Forty-five epochs of 20 s were chosen randomly in each of these stages for each subject in both groups. Results We did not observe a significant difference and deviation of the scaling exponents between the two groups during the three sleep stages of interest. Conclusion In this study, we do not observe any functional sequelae of a past history of one or more unipolar major depressive episode on the fluctuation properties of the sleep EEG. This finding is a sign of similar underlying neuronal dynamics in healthy controls and patients with a lifetime history of MDD. This study gives an additional argument to the theory that depression does not modify definitively the dynamics of the neuronal networks and is therefore against the “depressive scar hypothesis,” in which permanent residual deficit is created by the acute state of the depressive disease.