CASIA OpenIR  > 脑网络组研究中心
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
2018
发表期刊BRAIN AND BEHAVIOR
卷号8期号:1页码:e00893
文章类型Article
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.
关键词Activation Brain Network Functional Connectivity Functional Magnetic Resonance Imaging Network Reconfiguration
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1002/brb3.893
关键词[WOS]HUMAN CONNECTOME PROJECT ; DEFAULT-MODE NETWORKS ; SCALE BRAIN NETWORKS ; RESTING-STATE ; INDIVIDUAL-DIFFERENCES ; COMMUNITY STRUCTURE ; WORKING-MEMORY ; FMRI ; CONNECTIVITY ; FRONTOPARIETAL
收录类别SCI
语种英语
项目资助者National Key Scientific Instrument and Equipment Development Project(2012YQ120046) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02030300)
WOS研究方向Behavioral Sciences ; Neurosciences & Neurology
WOS类目Behavioral Sciences ; Neurosciences
WOS记录号WOS:000423522300016
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20344
专题脑网络组研究中心
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Zuo_et_al-2017-Brain(1573KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zuo, Nianming]的文章
[Yang, Zhengyi]的文章
[Liu, Yong]的文章
百度学术
百度学术中相似的文章
[Zuo, Nianming]的文章
[Yang, Zhengyi]的文章
[Liu, Yong]的文章
必应学术
必应学术中相似的文章
[Zuo, Nianming]的文章
[Yang, Zhengyi]的文章
[Liu, Yong]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Zuo_et_al-2017-Brain_and_Behavior.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。