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![]() |
刊名 | FRONTIERS IN NEUROLOGY
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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 |
DOI | 10.3389/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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