Both activated and less-activated regions identified by functional MRI reconfigure to support task executions

doi:10.1002/brb3.893

	Both activated and less-activated regions identified by functional MRI reconfigure to support task executions
	Zuo, Nianming1,2,6 ; Yang, Zhengyi1,2 ; Liu, Yong1,2,3,6 ; Li, Jin1,2 ; Jiang, Tianzi1,2,3,4,5,6
刊名	BRAIN AND BEHAVIOR
	2018
卷号	8 期号:1 页码:e00893
关键词	Activation Brain Network Functional Connectivity Functional Magnetic Resonance Imaging Network Reconfiguration
DOI	10.1002/brb3.893
文献子类	Article
英文摘要	Abstract Introduction Functional magnetic resonance imaging (fMRI) has become very important for noninvasively characterizing BOLD signal fluctuations, which reflect the changes in neuronal firings in the brain. Unlike the activation detection strategy utilized with fMRI, which only emphasizes the synchronicity between the functional nodes (activated regions) and the task design, brain connectivity and network theory are able to decipher the interactive structure across the entire brain. However, little is known about whether and how the activated/less-activated interactions are associated with the functional changes that occur when the brain changes from the resting state to a task state. What are the key networks that play important roles in the brain state changes? Methods We used the fMRI data from the Human Connectome Project S500 release to examine the changes of network efficiency, interaction strength, and fractional modularity contributions of both the local and global networks, when the subjects change from the resting state to 7 different task states. Results We found that, from the resting state to each of 7 task states, both the activated and less-activated regions had significantly changed to be in line with, and comparably contributed to, a global network reconfiguration. We also found that three networks, the default mode network, frontoparietal network, and salience network, dominated the flexible reconfiguration of the brain. Conclusions This study shows quantitatively that contributions from both activated and less-activated regions enable the global functional network to respond when the brain switches from the resting state to a task state and suggests the necessity of considering large-scale networks (rather than only activated regions) when investigating brain functions in imaging cognitive neuroscience.; Introduction: Functional magnetic resonance imaging (fMRI) has become very important for noninvasively characterizing BOLD signal fluctuations, which reflect the changes in neuronal firings in the brain. Unlike the activation detection strategy utilized with fMRI, which only emphasizes the synchronicity between the functional nodes (activated regions) and the task design, brain connectivity and network theory are able to decipher the interactive structure across the entire brain. However, little is known about whether and how the activated/less-activated interactions are associated with the functional changes that occur when the brain changes from the resting state to a task state. What are the key networks that play important roles in the brain state changes? Methods: We used the fMRI data from the Human Connectome Project S500 release to examine the changes of network efficiency, interaction strength, and fractional modularity contributions of both the local and global networks, when the subjects change from the resting state to seven different task states.
WOS关键词	HUMAN CONNECTOME PROJECT ; DEFAULT-MODE NETWORKS ; SCALE BRAIN NETWORKS ; RESTING-STATE ; INDIVIDUAL-DIFFERENCES ; COMMUNITY STRUCTURE ; WORKING-MEMORY ; FMRI ; CONNECTIVITY ; FRONTOPARIETAL
WOS研究方向	Behavioral Sciences ; Neurosciences & Neurology
语种	英语
WOS记录号	WOS:000423522300016
资助机构	National Key Scientific Instrument and Equipment Development Project(2012YQ120046) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02030300)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/20344]
专题	自动化研究所_脑网络组研究中心
作者单位	1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing, Peoples R China 4.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Key Lab NeuroInformat, Minist Educ, Chengdu, Sichuan, Peoples R China 5.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia 6.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zuo, Nianming,Yang, Zhengyi,Liu, Yong,et al. Both activated and less-activated regions identified by functional MRI reconfigure to support task executions[J]. BRAIN AND BEHAVIOR,2018,8(1):e00893.
APA	Zuo, Nianming,Yang, Zhengyi,Liu, Yong,Li, Jin,&Jiang, Tianzi.(2018).Both activated and less-activated regions identified by functional MRI reconfigure to support task executions.BRAIN AND BEHAVIOR,8(1),e00893.
MLA	Zuo, Nianming,et al."Both activated and less-activated regions identified by functional MRI reconfigure to support task executions".BRAIN AND BEHAVIOR 8.1(2018):e00893.