中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Altered Resting-State Functional Activity in Patients With Autism Spectrum Disorder: A Quantitative Meta-Analysis

文献类型:期刊论文

作者Wang, Wenhui1,2; Liu, Jia3; Shi, Shaojie1,2; Liu, Taiyuan1,2; Ma, Lun1,2; Ma, Xiaoyue1,2; Tian, Jie4,5; Gong, Qiyong6; Wang, Meiyun1,2
刊名FRONTIERS IN NEUROLOGY
出版日期2018-07-24
卷号9页码:9
关键词autism spectrum disorder meta-analysis regional homogeneity functional neuroimaging resting state
ISSN号1664-2295
DOI10.3389/fneur.2018.00556
通讯作者Wang, Meiyun(mywang@ha.edu.cn)
英文摘要Background: There is accumulating evidence showing that patients with autism spectrum disorder (ASD) have obvious changes in resting-state functional brain activity. So far, there have been no meta-analyses of the resting-state brain activity alterations in patients with ASD. We attempted to explore the resting-state functional activity changes in patients with ASD, possibly providing a new perspective for investigating the pathophysiology of patients with ASD. Methods: We screened relevant studies published before August 2017 in PubMed, Ovid, Web of Science, China National Knowledge Infrastructure (CNKI), and the Wan-fang database. Fifteen resting-state functional neural activity datasets (including 382 patients and 348 healthy controls) were included. Through the use of the effect-size signed differential mapping (ES-SDM) method, we carried out a meta-analysis of resting-state functional activity studies of patients with ASD. Results: Compared with healthy controls, patients with ASD showed hyperactivity in the right supplementary motor area, middle frontal gyrus, inferior frontal gyrus, the left precentral gyrus, and the bilateral cerebellum hemispheric lobule (VIII/IX), and hypoactivity in the right middle temporal gyrus, superior temporal gyrus, and the left precuneus, posterior cingulate cortex, median cingulate cortex, and bilateral cerebellum (crus I). Conclusion: This meta-analysis indicates that patients with ASD have significant and robust resting-state brain activity alterations in the language comprehension network, inferior-posterior cerebellum, default mode network (DMN), and cerebellar crus I. These brain regions may serve as specific regions of interest for further studies of ASD, which will allow us to further clarify the neurobiological mechanisms in patients with ASD.
WOS关键词VOXEL-BASED MORPHOMETRY ; BRAINS DEFAULT NETWORK ; GRAY-MATTER ; LANGUAGE COMPREHENSION ; CONNECTIVITY ; CEREBELLUM ; ANATOMY ; ADULTS ; MRI ; CHILDREN
资助项目National Natural Science Foundation[31470047] ; National Natural Science Foundation[81271565] ; Henan Province Scientific and Technological Innovation Talents Project
WOS研究方向Neurosciences & Neurology
语种英语
WOS记录号WOS:000439598000001
出版者FRONTIERS MEDIA SA
资助机构National Natural Science Foundation ; Henan Province Scientific and Technological Innovation Talents Project
源URL[http://ir.ia.ac.cn/handle/173211/26317]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Wang, Meiyun
作者单位1.Zhengzhou Univ, Dept Radiol, Peoples Hosp, Zhengzhou, Henan, Peoples R China
2.Henan Prov Peoples Hosp, Zhengzhou, Henan, Peoples R China
3.Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Radiol, Wuhan, Hubei, Peoples R China
4.Xidian Univ, Sch Life Sci & Technol, Xian, Shaanxi, Peoples R China
5.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
6.Sichuan Univ, Huaxi MR Res Ctr, Dept Radiol, West China Hosp, Chengdu, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Wang, Wenhui,Liu, Jia,Shi, Shaojie,et al. Altered Resting-State Functional Activity in Patients With Autism Spectrum Disorder: A Quantitative Meta-Analysis[J]. FRONTIERS IN NEUROLOGY,2018,9:9.
APA Wang, Wenhui.,Liu, Jia.,Shi, Shaojie.,Liu, Taiyuan.,Ma, Lun.,...&Wang, Meiyun.(2018).Altered Resting-State Functional Activity in Patients With Autism Spectrum Disorder: A Quantitative Meta-Analysis.FRONTIERS IN NEUROLOGY,9,9.
MLA Wang, Wenhui,et al."Altered Resting-State Functional Activity in Patients With Autism Spectrum Disorder: A Quantitative Meta-Analysis".FRONTIERS IN NEUROLOGY 9(2018):9.

入库方式: OAI收割

来源:自动化研究所

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