Functional segregation of the human cingulate cortex is confirmed by functional connectivity based neuroanatomical parcellation

	Functional segregation of the human cingulate cortex is confirmed by functional connectivity based neuroanatomical parcellation
	Yu, Chunshui 1; Zhou, Yuan2 ; Liu, Yong 3; Jiang, Tianzi 3; Dong, Haiwei 1; Zhang, Yunting 1; Walter, Martin 4; Yu, CS (reprint author), Tianjin Med Univ, Gen Hosp, Dept Radiol, 154 Anshan Rd, Tianjin 300052, Peoples R China.
刊名	NEUROIMAGE
	2011-02-14
卷号	54 期号:4 页码:2571-2581
关键词	Human brain Cingulate cortex Subregions Functional connectivity Resting-state Magnetic resonance imaging
ISSN号	1053-8119
产权排序	2
文献子类	Article
英文摘要	The four-region model with 7 specified subregions represents a theoretical construct of functionally segregated divisions of the cingulate cortex based on integrated neurobiological assessments. Under this framework, we aimed to investigate the functional specialization of the human cingulate cortex by analyzing the resting-state functional connectivity (FC) of each subregion from a network perspective. In 20 healthy subjects we systematically investigated the FC patterns of the bilateral subgenual (sACC) and pregenual (pACC) anterior cingulate cortices, anterior (aMCC) and posterior (pMCC) midcingulate cortices, dorsal (dPCC) and ventral (vPCC) posterior cingulate cortices and retrosplenial cortices (RSC). We found that each cingulate subregion was specifically integrated in the predescribed functional networks and showed anti-correlated resting-state fluctuations. The sACC and pACC were involved in an affective network and anti-correlated with the sensorimotor and cognitive networks, while the pACC also correlated with the default-mode network and anti-correlated with the visual network. In the midcingulate cortex, however, the aMCC was correlated with the cognitive and sensorimotor networks and anti-correlated with the visual, affective and default-mode networks, whereas the pMCC only correlated with the sensorimotor network and anti-correlated with the cognitive and visual networks. The dPCC and vPCC involved in the default-mode network and anti-correlated with the sensorimotor, cognitive and visual networks, in contrast, the RSC was mainly correlated with the PCC and thalamus. Based on a strong hypothesis driven approach of anatomical partitions of the cingulate cortex, we could confirm their segregation in terms of functional neuroanatomy, as suggested earlier by task studies or exploratory multi-seed investigations. (C) 2010 Elsevier Inc. All rights reserved.
学科主题	Cognitive Neuroscience
URL标识	查看原文
资助项目	三室李纾课题组
语种	英语
WOS记录号	WOS:000286495800003
资助机构	National Basic Research Program of China (973 program) [2011CB707801] ; Natural Science Foundation of China [30870694, 30900487, 30730036] ; Program for New Century Excellent Talents in University [NCET-07-0568] ; [SFB 779]
公开日期	2011-11-11
内容类型	期刊论文
源URL	[http://ir.psych.ac.cn/handle/311026/6924]
专题	心理研究所_社会与工程心理学研究室
通讯作者	Yu, CS (reprint author), Tianjin Med Univ, Gen Hosp, Dept Radiol, 154 Anshan Rd, Tianjin 300052, Peoples R China.
作者单位	1.Tianjin Med Univ, Gen Hosp, Dept Radiol, Tianjin 300052, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Ctr Social & Econ Behav, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, LIAMA Ctr Computat Med, Beijing, Peoples R China 4.Otto VonGuericke Univ Magdegurg, Dept Psychiat, Clin Affect Neuroimaging Lab, D-39016 Magdeburg, Germany
推荐引用方式 GB/T 7714	Yu, Chunshui,Zhou, Yuan,Liu, Yong,et al. Functional segregation of the human cingulate cortex is confirmed by functional connectivity based neuroanatomical parcellation[J]. NEUROIMAGE,2011,54(4):2571-2581.
APA	Yu, Chunshui.,Zhou, Yuan.,Liu, Yong.,Jiang, Tianzi.,Dong, Haiwei.,...&Yu, CS .(2011).Functional segregation of the human cingulate cortex is confirmed by functional connectivity based neuroanatomical parcellation.NEUROIMAGE,54(4),2571-2581.
MLA	Yu, Chunshui,et al."Functional segregation of the human cingulate cortex is confirmed by functional connectivity based neuroanatomical parcellation".NEUROIMAGE 54.4(2011):2571-2581.