Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Anhui Mental Health Center, Hefei, 230022, China.
J Psychiatr Res. 2024 Nov;179:69-76. doi: 10.1016/j.jpsychires.2024.08.037. Epub 2024 Sep 3.
Memory impairment is a serious cognitive side effect of electroconvulsive therapy (ECT) in the treatment of major depressive episodes (MDEs) and has garnered widespread attention in clinical practice, but its underlying evolution pattern during the course of ECT remains rarely understood in detail. Associative memory (AM) is a core indicator that reflects memory impairment in ECT. This study aimed to identify the dynamic trajectory of AM impairment and explore associated predictive factors. 405 intensive longitudinal AM data from 81 patients with MDE were collected at the baseline, after the first, third, fifth, and eighth ECT using five sets of face-cued word memory paradigms. Changes in AM score over time were analyzed using a linear mixed effects model. Trajectory subgroups and predictive factors were investigated using growth mixture model and logistic regression. AM score during ECT were significantly lower than at baseline, with the lowest scores observed after the eighth ECT session. Two trajectories of rapid (N = 56, 69.14%) and slow (N = 25, 30.86%) AM impairment were differentiated. Older female with lower education level were significant predictors contributing to more rapid memory impairment for ECT. The evolving pattern of associative memory impairment during ECT appears to occur early and worsen with subsequent treatment. This study may provide the important evidence understanding of the number effect of ECT sessions on memory impairment and suggest individual factors for predicting ECT memory outcome.
记忆损伤是电休克疗法(ECT)治疗重度抑郁发作(MDE)的严重认知副作用,在临床实践中受到广泛关注,但在 ECT 过程中其潜在的演变模式仍很少被详细了解。联想记忆(AM)是反映 ECT 中记忆损伤的核心指标。本研究旨在确定 AM 损伤的动态轨迹,并探讨相关的预测因素。使用五套面孔提示词记忆范式,在基线、第一次、第三次、第五次和第八次 ECT 后,从 81 名 MDE 患者中收集了 405 个密集的纵向 AM 数据。使用线性混合效应模型分析 AM 评分随时间的变化。使用增长混合模型和逻辑回归研究轨迹亚组和预测因素。ECT 期间的 AM 评分明显低于基线,第八次 ECT 后得分最低。区分了快速(N=56,69.14%)和缓慢(N=25,30.86%)AM 损伤的两种轨迹。年龄较大、教育程度较低的女性是导致 ECT 记忆损伤更快的显著预测因素。ECT 期间联想记忆损伤的演变模式似乎很早就发生了,并随着后续治疗而恶化。这项研究可能为理解 ECT 疗程对记忆损伤的数量效应提供重要证据,并为预测 ECT 记忆结果提供个体因素。