Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis

doi:10.1016/j.neuroimage.2016.12.068

CORC > 数学与系统科学研究院 > 中国科学院数学与系统科学研究院 > 系统科学研究所

	Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis
	Cheng, Wei 1,2; Rolls, Edmund T.3,4; Zhang, Jie 1,2; Sheng, Wenbo 1,2; Ma, Liang 8; Wan, Lin9 ; Luo, Qiang 1,2,7; Feng, Jianfeng 1,2,3,5,6
刊名	NEUROIMAGE
	2017-03-01
卷号	148 页码:169-178
关键词	Autism spectrum disorder Neurosynth database Orbitofrontal cortex Precuneus Resting state fMRI
ISSN号	1053-8119
DOI	10.1016/j.neuroimage.2016.12.068
英文摘要	A powerful new method is described called Knowledge based functional connectivity Enrichment Analysis (KEA) for interpreting resting state functional connectivity, using circuits that are functionally identified using search terms with the Neurosynth database. The method derives its power by focusing on neural circuits, sets of brain regions that share a common biological function, instead of trying to interpret single functional connectivity links. This provides a novel way of investigating how task- or function-related networks have resting state functional connectivity differences in different psychiatric states, provides a new way to bridge the gap between task and resting-state functional networks, and potentially helps to identify brain networks that might be treated. The method was applied to interpreting functional connectivity differences in autism. Functional connectivity decreases at the network circuit level in 394 patients with autism compared with 473 controls were found in networks involving the orbitofrontal cortex, anterior cingulate cortex, middle temporal gyrus cortex, and the precuneus, in networks that are implicated in the sense of self, face processing, and theory of mind. The decreases were correlated with symptom severity.
资助项目	Royal Society Wolfson Research Merit Award ; National High Technology Research and Development Program of China[2015AA020507] ; key project of Shanghai Science & Technology Innovation Plan[15JC1400101] ; National Centre for Mathematics and Interdisciplinary Sciences (NCMIS) of the Chinese Academy of Sciences (CAS) ; Key Program of National Natural Science Foundation of China[91230201] ; Shanghai Soft Science Research Program[15692106604] ; National Natural Sciences Foundation of China[11471081] ; National Science Foundation of China[NSFC 61104143] ; National Science Foundation of China[61573107] ; special Funds for Major State Basic Research Projects of China[2015CB856003] ; NSFC[11571349] ; NSFC[11201460] ; NCMIS of the CAS ; Youth Innovation Promotion Association of the CAS ; Strategic Priority Research Program of the CAS[XDB13040600]
WOS研究方向	Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
语种	英语
出版者	ACADEMIC PRESS INC ELSEVIER SCIENCE
WOS记录号	WOS:000396803100016
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/24901]
专题	系统科学研究所
通讯作者	Feng, Jianfeng
作者单位	1.Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China 2.Fudan Univ, Ctr Computat Syst Biol, Shanghai 200433, Peoples R China 3.Univ Warwick, Dept Comp Sci, Coventry CV4 7AL, W Midlands, England 4.Oxford Ctr Computat Neurosci, Oxford, England 5.Fudan Univ, Sch Life Sci, Sch Math Sci, Shanghai 200433, Peoples R China 6.Fudan Univ, Collaborat Innovat Ctr Brain Sci, Shanghai 200433, Peoples R China 7.Fudan Univ, Sch Life Sci, Shanghai 200433, Peoples R China 8.Chinese Acad Sci, Beijing Inst Genom, Beijing 100101, Peoples R China 9.Chinese Acad Sci, Acad Math & Syst Sci, Natl Ctr Math & Interdisciplinary Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Wei,Rolls, Edmund T.,Zhang, Jie,et al. Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis[J]. NEUROIMAGE,2017,148:169-178.
APA	Cheng, Wei.,Rolls, Edmund T..,Zhang, Jie.,Sheng, Wenbo.,Ma, Liang.,...&Feng, Jianfeng.(2017).Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis.NEUROIMAGE,148,169-178.
MLA	Cheng, Wei,et al."Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis".NEUROIMAGE 148(2017):169-178.