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Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children

文献类型：期刊论文

作者Wen, Hongwei1,2,3; Liu, Yue4; Rekik, Islem5; Wang, Shengpei1,2,3; Chen, Zhiqiang1,2,3; Zhang, Jishui6; Zhang, Yue4; Peng, Yun4; He, Huiguang1,2,3,7; He HG(何晖光)
刊名MOLECULAR NEUROBIOLOGY
出版日期2018-04-01
卷号55期号:4页码:3251-3269
关键词Tourette Syndrome Children Functional Connectivity Graph Theory Topological Organization Similarity Network Fusion
DOI10.1007/s12035-017-0519-1
文献子类Article
英文摘要Tourette syndrome (TS) is a childhood-onset neurological disorder. To date, accurate TS diagnosis remains challenging due to its varied clinical expressions and dependency on qualitative description of symptoms. Therefore, identifying accurate and objective neuroimaging biomarkers may help improve early TS diagnosis. As resting-state functional MRI (rs-fMRI) has been demonstrated as a promising neuroimaging tool for TS diagnosis, previous rs-fMRI studies on TS revealed functional connectivity (FC) changes in a few local brain networks or circuits. However, no study explored the disrupted topological organization of whole-brain FC networks in TS children. Meanwhile, very few studies have examined brain functional networks using machine-learning methods for diagnostics. In this study, we construct individual whole-brain, ROI-level FC networks for 29 drug-naive TS children and 37 healthy children. Then, we use graph theory analysis to investigate the topological disruptions between groups. The identified disrupted regions in FC networks not only involved the sensorimotor association regions but also the visual, default-mode and language areas, all highly related to TS. Furthermore, we propose a novel classification framework based on similarity network fusion (SNF) algorithm, to both diagnose an individual subject and explore the discriminative power of FC network topological properties in distinguishing between TS children and controls. We achieved a high accuracy of 88.79%, and the involved discriminative regions for classification were also highly related to TS. Together, both the disrupted topological properties between groups and the discriminative topological features for classification may be considered as comprehensive and helpful neuroimaging biomarkers for assisting the clinical TS diagnosis.
学科主题模式识别与智能系统
WOS关键词ATTENTION-DEFICIT/HYPERACTIVITY DISORDER ; HUMAN BRAIN ; STRUCTURAL CONNECTIVITY ; CORTICAL THICKNESS ; GRAPH-THEORY ; DRUG-NAIVE ; MRI ; SCALE ; CLASSIFICATION ; CORTEX
WOS研究方向Neurosciences & Neurology
语种英语
WOS记录号WOS:000427097500042
资助机构National 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)
源URL[http://ir.ia.ac.cn/handle/173211/14657]  
专题自动化研究所_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团队
通讯作者He HG(何晖光)
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, 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, Comp, CVIP, Dundee, Scotland
6.Capital Med Univ, Beijing Childrens Hosp, Dept Neurol, Beijing, Peoples R China
7.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wen, Hongwei,Liu, Yue,Rekik, Islem,et al. Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children[J]. MOLECULAR NEUROBIOLOGY,2018,55(4):3251-3269.
APA Wen, Hongwei.,Liu, Yue.,Rekik, Islem.,Wang, Shengpei.,Chen, Zhiqiang.,...&何晖光.(2018).Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children.MOLECULAR NEUROBIOLOGY,55(4),3251-3269.
MLA Wen, Hongwei,et al."Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children".MOLECULAR NEUROBIOLOGY 55.4(2018):3251-3269.

入库方式： OAI收割

来源：自动化研究所

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