Seoul National University Hospital, Seoul, Republic of Korea.
Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
Adv Exp Med Biol. 2024;1456:187-196. doi: 10.1007/978-981-97-4402-2_10.
Electroconvulsive therapy is one of the useful treatment methods for symptom improvement and remission in patients with treatment-resistant depression. Considering the various clinical characteristics of patients experiencing depression, key indicators are extracted from structural brain magnetic resonance imaging, functional brain magnetic resonance imaging, and electroencephalography (EEG) data taken before treatment, and applied as explanatory variables in machine learning and network analysis. Studies that attempt to make reliable predictions about the degree of response to electroconvulsive treatment and the possibility of remission in patients with treatment-resistant depression are continuously being published. In addition, studies are being conducted to identify the correlation with clinical improvement by taking structural-functional brain magnetic resonance imaging after electroconvulsive therapy in depressed patients. By reviewing and integrating the results of the latest studies on the above matters, we aim to present the usefulness of electroconvulsive therapy for improving the personalized prognosis of patients with treatment-resistant depression.
电抽搐治疗是治疗抵抗性抑郁症患者症状改善和缓解的有效治疗方法之一。考虑到抑郁症患者的各种临床特征，从结构磁共振成像、功能磁共振成像和脑电图（EEG）数据中提取关键指标，作为解释变量应用于机器学习和网络分析。目前正在不断发表研究，旨在对电抽搐治疗的反应程度和治疗抵抗性抑郁症患者缓解的可能性做出可靠预测。此外，还进行了研究，以通过对接受电抽搐治疗的抑郁症患者进行结构-功能脑磁共振成像来确定与临床改善的相关性。通过回顾和整合上述问题的最新研究结果，我们旨在展示电抽搐治疗对改善治疗抵抗性抑郁症患者个性化预后的有用性。
