Strafella Rebecca, Chen Robert, Rajji Tarek K, Blumberger Daniel M, Voineskos Daphne
Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
Temerty Centre for Therapeutic Brain Intervention, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Front Hum Neurosci. 2022 Aug 4;16:940759. doi: 10.3389/fnhum.2022.940759. eCollection 2022.
Electroencephalography (EEG) is a non-invasive method to identify markers of treatment response in major depressive disorder (MDD). In this review, existing literature was assessed to determine how EEG markers change with different modalities of MDD treatments, and to synthesize the breadth of EEG markers used in conjunction with MDD treatments. PubMed and EMBASE were searched from 2000 to 2021 for studies reporting resting EEG (rEEG) and transcranial magnetic stimulation combined with EEG (TMS-EEG) measures in patients undergoing MDD treatments. The search yielded 966 articles, 204 underwent full-text screening, and 51 studies were included for a narrative synthesis of findings along with confidence in the evidence. In rEEG studies, non-linear quantitative algorithms such as theta cordance and theta current density show higher predictive value than traditional linear metrics. Although less abundant, TMS-EEG measures show promise for predictive markers of brain stimulation treatment response. Future focus on TMS-EEG measures may prove fruitful, given its ability to target cortical regions of interest related to MDD.
脑电图(EEG)是一种用于识别重度抑郁症(MDD)治疗反应标志物的非侵入性方法。在本综述中,对现有文献进行了评估,以确定脑电图标志物如何随MDD不同治疗方式而变化,并综合与MDD治疗联合使用的脑电图标志物的范围。检索了2000年至2021年期间的PubMed和EMBASE数据库,以查找报告接受MDD治疗患者的静息脑电图(rEEG)以及经颅磁刺激联合脑电图(TMS-EEG)测量结果的研究。检索共得到966篇文章,204篇进行了全文筛选,51项研究被纳入,用于对研究结果进行叙述性综合分析以及对证据的可信度评估。在rEEG研究中,诸如θ协调性和θ电流密度等非线性定量算法比传统线性指标具有更高的预测价值。虽然TMS-EEG测量的研究较少,但显示出有望成为脑刺激治疗反应的预测标志物。鉴于TMS-EEG能够针对与MDD相关的感兴趣皮质区域,未来对其测量的关注可能会取得丰硕成果。