Princeton Neuroscience Institute & Psychology Department, Princeton University, Princeton, New Jersey; Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zürich, Zurich, Switzerland.
Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2024 Aug;9(8):809-818. doi: 10.1016/j.bpsc.2024.05.001. Epub 2024 May 10.
One in 3 patients relapse after antidepressant discontinuation. Thus, the prevention of relapse after achieving remission is an important component in the long-term management of major depressive disorder. However, no clinical or other predictors are established. Frontal reactivity to sad mood as measured by functional magnetic resonance imaging has been reported to relate to relapse independently of antidepressant discontinuation and is an interesting candidate predictor.
Patients (n = 56) who had remitted from a depressive episode while taking antidepressants underwent electroencephalography (EEG) recording during a sad mood induction procedure prior to gradually discontinuing their medication. Relapse was assessed over a 6-month follow-up period. Thirty five healthy control participants were also tested. Current source density of the EEG power in the alpha band (8-13 Hz) was extracted and alpha asymmetry was computed by comparing the power across 2 hemispheres at frontal electrodes (F5 and F6).
Sad mood induction was robust across all groups. Reactivity of alpha asymmetry to sad mood did not distinguish healthy control participants from patients with remitted major depressive disorder on medication. However, the 14 (25%) patients who relapsed during the follow-up period after discontinuing medication showed significantly reduced reactivity in alpha asymmetry compared with patients who remained well. This EEG signal provided predictive power (69% out-of-sample balanced accuracy and a positive predictive value of 0.75).
A simple EEG-based measure of emotional reactivity may have potential to contribute to clinical prediction models of antidepressant discontinuation. Given the very small sample size, this finding must be interpreted with caution and requires replication in a larger study.
抗抑郁药停药后,每 3 名患者中就有 1 名复发。因此,预防缓解后复发是治疗重度抑郁症的长期管理的重要组成部分。但是,目前尚无临床或其他预测指标。功能性磁共振成像测量的对悲伤情绪的额叶反应与抗抑郁药停药无关,与复发独立相关,是一个有趣的候选预测指标。
正在服用抗抑郁药的患者(n=56)在停药前经历了抑郁发作缓解,在逐渐停药之前进行了悲伤情绪诱导程序的脑电图(EEG)记录。在 6 个月的随访期间评估了复发情况。还对 35 名健康对照组参与者进行了测试。提取 EEG 功率在 alpha 波段(8-13 Hz)的电流源密度,并通过比较额叶电极(F5 和 F6)两侧的功率来计算 alpha 不对称性。
悲伤情绪诱导在所有组中均很稳定。与正在服用药物的缓解期重度抑郁症患者相比,健康对照组参与者的 alpha 不对称性对悲伤情绪的反应没有区别。然而,在停药后随访期间复发的 14 名(25%)患者的 alpha 不对称性反应明显低于病情稳定的患者。该脑电图信号提供了预测能力(69%的样本外平衡准确率和 0.75 的阳性预测值)。
基于 EEG 的简单情绪反应测量方法可能有助于为抗抑郁药停药的临床预测模型做出贡献。考虑到样本量非常小,该发现必须谨慎解释,并需要在更大的研究中进行复制。