IR@PKUHSC  > 北京大学精神卫生研究所
学科主题精神卫生
Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder
Cao, Qingjiu1,2; Shu, Ni3; An, Li1,2; Wang, Peng1,2; Sun, Li1,2; Xia, Ming-Rui3; Wang, Jin-Hui3; Gong, Gao-Lang3; Zang, Yu-Feng4,5; Wang, Yu-Feng1,2; He, Yong3
刊名JOURNAL OF NEUROSCIENCE
2013-06-26
DOI10.1523/JNEUROSCI.4793-12.2013
33期:26页:10676-10687
收录类别SCI ; SSCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Neurosciences
资助者Commonweal Sciences Foundation, Ministry of Health, China ; National Foundation, Ministry of Science and Technology, China ; National Science Fund for Distinguished Young Scholars Grant ; Natural Science Foundation of China ; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience ; Learning, Beijing Normal University, China ; Commonweal Sciences Foundation, Ministry of Health, China ; National Foundation, Ministry of Science and Technology, China ; National Science Fund for Distinguished Young Scholars Grant ; Natural Science Foundation of China ; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience ; Learning, Beijing Normal University, China
研究领域[WOS]Neurosciences & Neurology
关键词[WOS]DEFICIT HYPERACTIVITY DISORDER ; SMALL-WORLD NETWORKS ; CORTICAL NETWORKS ; FUNCTIONAL CONNECTIVITY ; ANATOMICAL NETWORKS ; MULTIPLE-SCLEROSIS ; BRAIN CONNECTIVITY ; ALZHEIMERS-DISEASE ; FMRI EVIDENCE ; YOUNG-ADULTS
英文摘要

Attention-deficit/hyperactivity disorder (ADHD), which is characterized by core symptoms of inattention and hyperactivity/impulsivity, is one of the most common neurodevelopmental disorders of childhood. Neuroimaging studies have suggested that these behavioral disturbances are associated with abnormal functional connectivity among brain regions. However, the alterations in the structural connections that underlie these behavioral and functional deficits remain poorly understood. Here, we used diffusion magnetic resonance imaging and probabilistic tractography method to examine whole-brain white matter (WM) structural connectivity in 30 drug-naive boys with ADHD and 30 healthy controls. The WM networks of the human brain were constructed by estimating inter-regional connectivity probability. The topological properties of the resultant networks (e.g., small-world and network efficiency) were then analyzed using graph theoretical approaches. Nonparametric permutation tests were applied for between-group comparisons of these graphic metrics. We found that both the ADHD and control groups showed an efficient small-world organization in the whole-brainWM networks, suggesting a balance between structurally segregated and integrated connectivity patterns. However, relative to controls, patients with ADHD exhibited decreased global efficiency and increased shortest path length, with the most pronounced efficiency decreases in the left parietal, frontal, and occipital cortices. Intriguingly, theADHDgroup showed decreased structural connectivity in the prefrontal-dominant circuitry and increased connectivity in the orbitofrontal-striatal circuitry, and these changes significantly correlated with the inattention and hyperactivity/impulsivity symptoms, respectively. The present study shows disrupted topological organization of large-scale WM networks in ADHD, extending our understanding of how structural disruptions of neuronal circuits underlie behavioral disturbances in patients with ADHD.

语种英语
所属项目编号2008 02073 ; 2007 BAI17B03 ; 81225012 ; 30970802 ; 31221003 ; 81030028 ; 81000633 ; 81000593 ; 81020108022
资助者Commonweal Sciences Foundation, Ministry of Health, China ; National Foundation, Ministry of Science and Technology, China ; National Science Fund for Distinguished Young Scholars Grant ; Natural Science Foundation of China ; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience ; Learning, Beijing Normal University, China ; Commonweal Sciences Foundation, Ministry of Health, China ; National Foundation, Ministry of Science and Technology, China ; National Science Fund for Distinguished Young Scholars Grant ; Natural Science Foundation of China ; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience ; Learning, Beijing Normal University, China
WOS记录号WOS:000320928900013
Citation statistics
Cited Times:60[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/57202
Collection北京大学精神卫生研究所
作者单位1.Peking Univ, Inst Mental Hlth, Beijing 100191, Peoples R China
2.Minist Hlth, Key Lab Mental Hlth, Beijing 100191, Peoples R China
3.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
4.Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Affiliated Hosp, Hangzhou 310015, Zhejiang, Peoples R China
5.Zhejiang Key Lab Res Assessment Cognit Impairment, Hangzhou 310015, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Cao, Qingjiu,Shu, Ni,An, Li,et al. Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder[J]. JOURNAL OF NEUROSCIENCE,2013,33(26):10676-10687.
APA Cao, Qingjiu.,Shu, Ni.,An, Li.,Wang, Peng.,Sun, Li.,...&He, Yong.(2013).Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder.JOURNAL OF NEUROSCIENCE,33(26),10676-10687.
MLA Cao, Qingjiu,et al."Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder".JOURNAL OF NEUROSCIENCE 33.26(2013):10676-10687.
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