Martin Graeme
University of Birmingham, Edgbaston, UK.
Nonlinear Dynamics Psychol Life Sci. 2012 Jan;16(1):79-90.
Complex network analysis has been applied to capture the structure and functional dynamics of the brain. These studies have revealed normal and abnormal network topologies. Network differences are observed in conditions such as Alzheimer's disease, Schizophrenia, Depression and ADHD. Such findings suggest that a number of different pathologies have sufficiently similar features that the term 'connectopathies' has been introduced to describe these common topological characteristics. This paper examines the evidence for network properties and failures found in certain disorders, concluding with a brief discussion of maps and the Human Connectome Project's value to understanding brain disorders and dynamics.
复杂网络分析已被应用于捕捉大脑的结构和功能动态。这些研究揭示了正常和异常的网络拓扑结构。在阿尔茨海默病、精神分裂症、抑郁症和注意力缺陷多动障碍等病症中观察到了网络差异。这些发现表明,许多不同的病症具有足够相似的特征,以至于引入了“连接病”这一术语来描述这些共同的拓扑特征。本文研究了在某些疾病中发现的网络特性和故障的证据,并以对图谱以及人类连接组计划在理解脑部疾病和动态方面的价值的简要讨论作为结尾。