Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children
Wen, Hongwei1,3; Liu, Yue4; Rekik, Islem5; Wang, Shengpei1,3; Zhang, Jishui6; Zhang, Yue4; Peng, Yun4; He, Huiguang1,2,3; He HG(何晖光)
Source PublicationHUMAN BRAIN MAPPING
2017-08-01
Volume38Issue:8Pages:3988-4008
SubtypeReview
AbstractTourette syndrome (TS) is a childhood-onset neurobehavioral disorder. Although previous TS studies revealed structural abnormalities in distinct corticobasal ganglia circuits, the topological alterations of the whole-brain white matter (WM) structural networks remain poorly understood. Here, we used diffusion MRI probabilistic tractography and graph theoretical analysis to investigate the topological organization of WM networks in 44 drug-naive TS children and 41 age- and gender-matched healthy children. The WM networks were constructed by estimating inter-regional connectivity probability and the topological properties were characterized using graph theory. We found that both TS and control groups showed an efficient small-world organization in WM networks. However, compared to controls, TS children exhibited decreased global and local efficiency, increased shortest path length and small worldness, indicating a disrupted balance between local specialization and global integration in structural networks. Although both TS and control groups showed highly similar hub distributions, TS children exhibited significant decreased nodal efficiency, mainly distributed in the default mode, language, visual, and sensorimotor systems. Furthermore, two separate networks showing significantly decreased connectivity in TS group were identified using network-based statistical (NBS) analysis, primarily composed of the parieto-occipital cortex, precuneus, and paracentral lobule. Importantly, we combined support vector machine and multiple kernel learning frameworks to fuse multiple levels of network topological features for classification of individuals, achieving high accuracy of 86.47%. Together, our study revealed the disrupted topological organization of structural networks related to pathophysiology of TS, and the discriminative topological features for classification are potential quantitative neuroimaging biomarkers for clinical TS diagnosis. Hum Brain Mapp 38:3988-4008, 2017. (c) 2017 Wiley Periodicals, Inc.
KeywordTourette Syndrome Diffusion Mri Probabilistic Tractography Structural Network Graph Theory Topological Organization Multiple Kernel Learning
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Subject Area模式识别与智能系统
DOI10.1002/hbm.23643
WOS KeywordATTENTION-DEFICIT/HYPERACTIVITY DISORDER ; VOXEL-BASED MORPHOMETRY ; MAJOR DEPRESSIVE DISORDER ; DEFAULT MODE NETWORK ; WHITE-MATTER ; MULTIPLE-SCLEROSIS ; BASAL GANGLIA ; GRAPH-THEORY ; SMALL-WORLD ; MICROSTRUCTURAL ABNORMALITIES
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(91520202 ; Youth Innovation Promotion Association CAS ; Beijing Municipal Administration of Hospitals Incubating Program(PX2016035) ; Beijing Health System Top Level Health Technical Personnel Training Plan(2015-3-082) ; 61271151 ; 31271161 ; 81671651)
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000404963900016
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14659
Collection复杂系统管理与控制国家重点实验室_影像分析与机器视觉
Corresponding AuthorHe HG(何晖光)
Affiliation1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Capital Med Univ, Beijing Childrens Hosp, Dept Radiol, 56 Nanlishi Rd, Beijing 100045, Peoples R China
5.Univ Dundee, Sch Sci & Engn, CVIP, Comp, Dundee, Scotland
6.Capital Med Univ, Beijing Childrens Hosp, Dept Neurol, Beijing, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wen, Hongwei,Liu, Yue,Rekik, Islem,et al. Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children[J]. HUMAN BRAIN MAPPING,2017,38(8):3988-4008.
APA Wen, Hongwei.,Liu, Yue.,Rekik, Islem.,Wang, Shengpei.,Zhang, Jishui.,...&何晖光.(2017).Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children.HUMAN BRAIN MAPPING,38(8),3988-4008.
MLA Wen, Hongwei,et al."Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children".HUMAN BRAIN MAPPING 38.8(2017):3988-4008.
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