Ulke Christine, Surova Galina, Sander Christian, Engel Christoph, Wirkner Kerstin, Jawinski Philippe, Hensch Tilman, Hegerl Ulrich
Department of Psychiatry and Psychotherapy, Leipzig University Medical Center, Semmelweisstrasse 10, D-04103 Leipzig, Germany.
LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, D-04103 Leipzig, Germany.
Brain Sci. 2020 Aug 19;10(9):569. doi: 10.3390/brainsci10090569.
The term fatigue is not only used to describe a sleepy state with a lack of drive, as observed in patients with chronic physical illnesses, but also a state with an inhibition of drive and central nervous system (CNS) hyperarousal, as frequently observed in patients with major depression. An electroencephalogram (EEG)-based algorithm has been developed to objectively assess CNS arousal and to disentangle these pathophysiologically heterogeneous forms of fatigue. The aim of this study was to test the hypothesis that fatigued patients with CNS hyperarousal score higher on depressive symptoms than those without this neurophysiological pattern.
Subjects with fatigue (Multidimensional Fatigue Inventory sum-score > 40) in the context of cancer, neuroinflammatory, or autoimmune diseases were drawn from the 60+ cohort of the Leipzig Research Center for Civilization Diseases. CNS arousal was assessed by automatic EEG-vigilance stage classification using the Vigilance Algorithm Leipzig (VIGALL 2.1) based on 20 min EEG recordings at rest with eyes closed. Depression was assessed by the Inventory of Depressive Symptomatology (IDS-SR).
Sixty participants (33 female; median age: 67.5 years) were included in the analysis. As hypothesized, fatigued patients with CNS hyperarousal had higher IDS-SR scores than those without hyperarousal (F = 18.34; < 0.0001, η = 0.240).
hyperaroused fatigue in patients with chronic physical illness may be a sign of comorbid depression.
“疲劳”一词不仅用于描述慢性躯体疾病患者所表现出的那种缺乏动力的困倦状态，还用于描述重度抑郁症患者中常见的动力受抑制和中枢神经系统（CNS）过度觉醒的状态。一种基于脑电图（EEG）的算法已被开发出来，用于客观评估中枢神经系统的觉醒情况，并区分这些病理生理上异质性的疲劳形式。本研究的目的是检验这样一个假设：与没有这种神经生理模式的疲劳患者相比，伴有中枢神经系统过度觉醒的疲劳患者在抑郁症状上得分更高。
从莱比锡文明病研究中心60岁以上队列中选取患有癌症、神经炎症或自身免疫性疾病且伴有疲劳（多维疲劳量表总分>40）的受试者。基于闭眼静息状态下20分钟的脑电图记录，使用莱比锡警觉算法（VIGALL 2.1）通过自动脑电图警觉阶段分类来评估中枢神经系统的觉醒情况。通过抑郁症状量表（IDS-SR）评估抑郁情况。
60名参与者（33名女性；中位年龄：67.5岁）纳入分析。正如所假设的那样，伴有中枢神经系统过度觉醒的疲劳患者的IDS-SR得分高于没有过度觉醒的患者（F = 18.34；<0.0001，η = 0.240）。
慢性躯体疾病患者中过度觉醒的疲劳可能是共病抑郁症的一个迹象。
