摘要
研究表明，精神障碍疾病存在大脑“失连接”症状，相关的神经网络研究亦发现大脑活动在一定时间尺度上的非线性动力学复杂性。定量描述大脑活动复杂度的非线性分析方法为精神障碍疾病“异常神经元连接”的研究提供了新思路。综述了神经生理信号复杂度测量方法在精神障碍疾病中的应用结果及区别，其可能与精神障碍疾病的多相性、分析方法差异、病情发展及年龄因素有关。针对这些问题进行深入探索有助于进一步阐明精神障碍疾病异常脑连接和复杂度的变化机制。
Many studies have provided evidence that aberrant neural connectivity lies at the heart of many mental disorders. Information related to neural networks has elucidated the nonlinear dynamical complexity in brain signals over a range of temporal scales. The advent of nonlinear analytic methods, which have served for the quantitative description of the brain signal complexity, has provided new insights into aberrant neural connectivity in many mental disorders. This paper reviewed the complexity application of neurophysiological signals in mental disorders, and got some valuable results and inconsistence, which might resulted from the heterogeneity in mental disorders, analytical methods, interference of typical development and aging. Future systematic studies addressing these issues may help to elucidate the mechanism of neural connections and dynamics related to mental disorders.
出处
《国际生物医学工程杂志》
CAS
2015年第5期310-313,I0002,共5页
International Journal of Biomedical Engineering
基金
天津市卫计委科技攻关项目（13KG109,14KG107）：天津市中医药管理局中医、中西医结合科研专项资助项目（13129）
