Graph Theoretical Analysis of Organization of Functional Brain Networks in ADHD
Graph Theoretical Analysis of Organization of Functional Brain Networks in ADHD
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DOI：
10.1177/1550059411428555
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发表时间：
2012-01-01
影响因子：
2
通讯作者：
Adeli, Amir
中科院分区：
文献类型：
--
作者：
Ahmadlou, Mehran;Adeli, Hojjat;Adeli, Amir
本文提出了一种新的方法，用于调查的整体和半球的注意缺陷多动障碍（ADHD）患者的大脑网络的组织使用的加权图的理论分析，发现如何在这样的患者的大脑拓扑结构的影响的目标。所用的同步测度是作者最近提出的非线性模糊同步似然（FSL）。最近的证据表明，一个正常的新皮层有一个小世界（SW）网络与局部结构和全球结构之间的平衡特征。这样的网络导致隔离和集成之间的最佳平衡，这对于复杂网络中的高同步性和快速信息传输至关重要。SW网络的特征在于网络单元之间的连接（C）和短路径长度（L）的密集集群共存。C的研究结果表明ADHD患者左半球功能网络的局部结构与非ADHD患者的不同，这在δ脑电（EEG）子带中是可识别的。此外，L的调查结果表明，ADHD的功能左半球的大脑网络的全球结构偏离非ADHD，这是在δ EEG子带中观察到的。结果表明，ADHD与非ADHD患者左半球脑结构的变化较大，L和C在δ脑电子带上能区分ADHD与非ADHD患者。
This article presents a new methodology for investigation of the organization of the overall and hemispheric brain network of patients with attention-deficit hyperactivity disorder (ADHD) using theoretical analysis of a weighted graph with the goal of discovering how the brain topology is affected in such patients. The synchronization measure used is the nonlinear fuzzy synchronization likelihood (FSL) developed by the authors recently. Recent evidence indicates a normal neocortex has a small-world (SW) network with a balance between local structure and global structure characteristics. Such a network results in optimal balance between segregation and integration which is essential for high synchronizabilty and fast information transmission in a complex network. The SW network is characterized by the coexistence of dense clustering of connections (C) and short path lengths (L) among the network units. The results of investigation of C show the local structure of functional left-hemisphere brain networks of ADHD diverges from that of non-ADHD which is recognizable in the delta electroencephalograph (EEG) sub-band. Also, the results of investigation for L show the global structure of functional left-hemisphere brain networks of ADHD diverges from that of non-ADHD which is observable in the delta EEG sub-band. It is concluded that the changes in left-hemisphere brain's structure of ADHD from that of the non-ADHD are so much that L and C can distinguish the ADHD brain from the non-ADHD brain in the delta EEG sub-band.