Chen Zhiyuan, Huang Yongzhi, Yu Haiqing, Cao Chunyan, Xu Minpeng, Ming Dong
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin 300072, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Feb 25;42(1):189-196. doi: 10.7507/1001-5515.202406072.
Depression, a mental health disorder, has emerged as one of the significant challenges in the global public health domain. Investigating the pathogenesis of depression and accurately assessing the symptomatic changes are fundamental to formulating effective clinical diagnosis and treatment strategies. Utilizing non-invasive brain imaging technologies such as functional magnetic resonance imaging and scalp electroencephalography, existing studies have confirmed that the onset of depression is closely associated with abnormal neural activities and altered functional connectivity in multiple brain regions. Magnetoencephalography, unaffected by tissue conductivity and skull thickness, boasts high spatial resolution and signal-to-noise ratio, offering unique advantages and significant value in revealing the abnormal brain mechanisms and neural characteristics of depression. This review, starting from the rhythmic characteristics, nonlinear dynamic features, and connectivity characteristics of magnetoencephalography in depression patients, revisits the research progress on magnetoencephalography features related to depression, discusses current issues and future development trends, and provides insights for the study of pathophysiological mechanisms, as well as for clinical diagnosis and treatment of depression.
抑郁症作为一种心理健康障碍，已成为全球公共卫生领域的重大挑战之一。探究抑郁症的发病机制并准确评估症状变化是制定有效的临床诊断和治疗策略的基础。利用功能磁共振成像和头皮脑电图等非侵入性脑成像技术，现有研究已证实抑郁症的发作与多个脑区的神经活动异常和功能连接改变密切相关。脑磁图不受组织电导率和颅骨厚度的影响，具有高空间分辨率和信噪比，在揭示抑郁症的异常脑机制和神经特征方面具有独特优势和重要价值。本文综述从抑郁症患者脑磁图的节律特征、非线性动力学特征和连接特征入手，回顾了与抑郁症相关的脑磁图特征的研究进展，讨论了当前存在的问题和未来的发展趋势，并为抑郁症的病理生理机制研究以及临床诊断和治疗提供了见解。
