Exploring Dynamic Temporal-Topological Structure of Brain Network Within ADHD

被引：8
|
作者：
Wang, Rong [1 ]
Lin, Pan [2 ]
Wu, Ying [3 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Aerosp, State Key Lab Strength & Vibrat Mech Struct, Xian 710049, Peoples R China
[2] Xi An Jiao Tong Univ, Inst Biomed Engn, Educ Minist, Key Lab Biomed Informat Engn, Xian 710049, Peoples R China
[3] Xi An Jiao Tong Univ, Sch Aerosp, Xian, Peoples R China
来源：
ADVANCES IN COGNITIVE NEURODYNAMICS (IV) | 2015年
关键词：
ADHD; Resting-state functional connectivity; fMRI; Complex networks;
D O I：
10.1007/978-94-017-9548-7_13
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
The brain is a complex network with an anatomical and functional organization. The brain organization of attention-deficit/hyperactivity disorder (ADHD) is still not well understood. We used complex network method to investigate ADHD subject's brain network during resting state. Our results show that the node degree, clustering coefficient, local efficiency and global efficiency dynamically evolve during resting state, modularity, and the results also show the stable difference in brain network topological structure of ADHD subjects compared with normal subjects. These results would suggest the important role of the dynamic temporal-topological structure of ADHD linking to underlying dysfunctional neuronal activity.
引用
收藏
页码：93 / 98
页数：6
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