静息态 EEG β波段功率可预测抑郁障碍患者的生活质量结局：一项纵向研究。
Resting-state EEG beta band power predicts quality of life outcomes in patients with depressive disorders: A longitudinal investigation.
机构信息
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.
出版信息
J Affect Disord. 2020 Mar 15;265:416-422. doi: 10.1016/j.jad.2020.01.030. Epub 2020 Jan 10.
BACKGROUND
Quality of life is severely impaired in patients with depressive disorders. Previous studies have focused on biomarkers predicting depressive symptomatology; however, studies investigating biomarkers predicting quality of life outcomes are limited. Improving quality of life is important because it is related not only to mental health but also to physical health. We need to develop a biomarker related to quality of life as a therapeutic target for patients with depressive disorders. Resting-state electroencephalography (EEG) is easy to record in clinical settings. The index of bandwidth spectral power predicts treatment response in depressive disorders and thus may be a candidate biomarker. However, no longitudinal studies have investigated whether EEG-recorded power could predict quality of life outcomes in patients with depressive disorders.
METHODS
The resting-state EEG-recorded bandwidth spectral power at baseline and the World Health Organization Quality of Life (QOL)-26 scores at 3-year follow-up were measured in 44 patients with depressive disorders.
RESULTS
The high beta band power (20-30 Hz) at baseline significantly predicted QOL at the 3-year follow-up after considering depressive symptoms and medication effects in a longitudinal investigation in patients with depressive disorders (β = 0.38, p = 0.01).
LIMITATIONS
We did not have healthy subjects as a comparison group in this study.
CONCLUSIONS
Our findings suggest that resting-state beta activity has the potential to be a useful biomarker for predicting future quality of life outcomes in patients with depressive disorders.
背景
抑郁障碍患者的生活质量严重受损。既往研究主要集中于预测抑郁症状的生物标志物，而针对预测生活质量结局的生物标志物的研究较少。改善生活质量很重要，因为它不仅与心理健康有关，而且与身体健康有关。我们需要开发一种与生活质量相关的生物标志物作为抑郁障碍患者的治疗靶点。静息态脑电图（EEG）在临床环境中易于记录。带宽谱功率指数可预测抑郁障碍的治疗反应，因此可能是候选生物标志物。然而，尚无纵向研究探讨 EEG 记录的功率是否可以预测抑郁障碍患者的生活质量结局。
方法
对 44 例抑郁障碍患者进行基线静息态 EEG 带宽谱功率和 3 年随访时世界卫生组织生活质量（QOL）-26 评分的测量。
结果
在对抑郁障碍患者进行的纵向研究中，考虑到抑郁症状和药物作用，基线时高β频带（20-30Hz）功率显著预测 3 年随访时的 QOL（β=0.38，p=0.01）。
局限性
本研究未将健康受试者作为对照组。
结论
我们的研究结果表明，静息态β活动具有成为预测抑郁障碍患者未来生活质量结局的有用生物标志物的潜力。
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