Imaging Functional and Structural Brain Connectomics in Attention-Deficit/Hyperactivity Disorder

被引:128
作者
Cao, Miao [1 ,2 ,3 ]
Shu, Ni [1 ,2 ,3 ]
Cao, Qingjiu [4 ,5 ,6 ]
Wang, Yufeng [4 ,5 ,6 ]
He, Yong [1 ,2 ,3 ]
机构
[1] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Ctr Collaborat & Innovat Brain & Learning Sci, Beijing 100875, Peoples R China
[4] Peking Univ, Inst Mental Hlth, Beijing 100191, Peoples R China
[5] Minist Hlth, Key Lab Mental Hlth, Beijing 100191, Peoples R China
[6] Peking Univ, Hosp 6, Beijing 100191, Peoples R China
关键词
ADHD; Connectome; Graph theory; Small-world; Functional connectivity; Structural connectivity; GRAPH-THEORETICAL ANALYSIS; RICH-CLUB ORGANIZATION; CONNECTIVITY PATTERNS; CORTICAL THICKNESS; ANATOMICAL NETWORKS; HEAD MOTION; CHILDREN; ARCHITECTURE; ADOLESCENTS; ASSOCIATION;
D O I
10.1007/s12035-014-8685-x
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopment disorders in childhood. Clinically, the core symptoms of this disorder include inattention, hyperactivity, and impulsivity. Previous studies have documented that these behavior deficits in ADHD children are associated with not only regional brain abnormalities but also changes in functional and structural connectivity among regions. In the past several years, our understanding of how ADHD affects the brain's connectivity has been greatly advanced by mapping topological alterations of large-scale brain networks (i.e., connectomes) using non-invasive neurophysiological and neuroimaging techniques (e. g., electroencephalograph, functional MRI, and diffusion MRI) in combination with graph theoretical approaches. In this review, we summarize the recent progresses of functional and structural brain connectomics in ADHD, focusing on graphic analysis of large-scale brain systems. Convergent evidence suggests that children with ADHD had abnormal small-world properties in both functional and structural brain networks characterized by higher local clustering and lower global integrity, suggesting a disorder-related shift of network topology toward regular configurations. Moreover, ADHD children showed the redistribution of regional nodes and connectivity involving the default-mode, attention, and sensorimotor systems. Importantly, these ADHD-associated alterations significantly correlated with behavior disturbances (e. g., inattention and hyperactivity/impulsivity symptoms) and exhibited differential patterns between clinical subtypes. Together, these connectome-based studies highlight brain network dysfunction in ADHD, thus opening up a new window into our understanding of the pathophysiological mechanisms of this disorder. These works might also have important implications on the development of imaging-based bio-markers for clinical diagnosis and treatment evaluation in ADHD.
引用
收藏
页码:1111 / 1123
页数:13
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