Institutional Repository of Key Laboratory of Behavioral Science, CAS
Segregated precuneus network and default mode network in naturalistic imaging | |
Deng, ZhengZheng1,2,3; Wu, JinFeng1,2; Gao, JiaQi1,2; Hu, Yang3,4; Zhang, YiWen3,4; Wang, YinShan1,2; Dong, HaoMing1,2; Yang, Zhi3,4; Zuo, XiNian1,2 | |
第一作者 | Deng, ZhengZheng |
通讯作者邮箱 | zhi yang yangz@smhc.org.cn |
心理所单位排序 | 1 |
摘要 | A resting-state network centered at the precuneus has been recently proposed as a precuneus network (PCUN) or "parietal memory network". Due to its spatial adjacency and overlapping with the default mode network (DMN), it is still not consensus to consider PCUN and DMN separately. Whether considering PCUN and DMN as different networks is a critical question that influences our understanding of brain functions and impairments. Previous resting-state studies using multiple methodologies have demonstrated a robust separation of the two networks. However, since there is no gold standard in justifying the functional difference between the networks in resting-state, we still lack of biological evidence to directly support the separation of the two networks. This study compared the responses and functional couplings of PCUN and DMN when participants were watching a movie and examined how the continuity of the movie context modulated the response of the networks. We identified PCUN and DMN in resting-state fMRI of 48 healthy subjects. The networks' response to a context-rich video and its context-shuffled version was characterized using the variance of temporal fluctuations and functional connectivity metrics. The results showed that (1) scrambling the contextual information altered the fluctuation level of DMN and PCUN in reversed ways; (2) compared to DMN, the FC within PCUN showed significantly higher sensitivity to the contextual continuity; (3) PCUN exhibited a significantly stronger functional network connectivity with the primary visual regions than DMN. These findings provide evidence for the distinct functional roles of PCUN and DMN in processing context-rich information and call for separately considering the functions and impairments of these networks in resting-state studies. |
关键词 | Resting-state networks Default mode network Precuneus network Natural viewing Functional connectivity |
2019-12-01 | |
语种 | 英语 |
DOI | 10.1007/s00429-019-01953-2 |
发表期刊 | BRAIN STRUCTURE & FUNCTION |
ISSN | 1863-2653 |
卷号 | 224期号:9页码:3133-3144 |
期刊论文类型 | article |
收录类别 | SCI |
资助项目 | National Science Foundation of China[81270023] ; National Science Foundation of China[81571756] ; National Science Foundation of China[81971682] ; National Science Foundation of China[81471740] ; National Key R&D Program of China[2018YFC2001600] ; Beijing Nova Program for Science and Technology[XXJH2015B079] ; Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support[20171929] ; Shanghai Mental Health Center[13dz2260500] ; Beijing Municipal Science and Tech Commission[Z171100000117012] ; Beijing Municipal Science and Tech Commission[Z161100002616023] ; National Basic Research Program (973 Program)[2015CB351702] |
出版者 | SPRINGER HEIDELBERG |
WOS关键词 | PARIETAL MEMORY NETWORK ; INDEPENDENT COMPONENT ANALYSIS ; RESTING-STATE FMRI ; HUMAN BRAIN ; FUNCTIONAL CONNECTIVITY ; ALZHEIMERS-DISEASE ; EPISODIC MEMORY ; CORTEX ; SYSTEMS ; REPRODUCIBILITY |
WOS研究方向 | Anatomy & Morphology ; Neurosciences & Neurology |
WOS类目 | Anatomy & Morphology ; Neurosciences |
WOS记录号 | WOS:000504329400009 |
资助机构 | National Science Foundation of China ; National Key R&D Program of China ; Beijing Nova Program for Science and Technology ; Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support ; Shanghai Mental Health Center ; Beijing Municipal Science and Tech Commission ; National Basic Research Program (973 Program) |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/30561 |
专题 | 中国科学院行为科学重点实验室 |
通讯作者 | Yang, Zhi |
作者单位 | 1.Chinese Acad Sci, Res Ctr Lifespan Dev Mind & Brain, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 3.Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Shanghai Key Lab Psychot Disorders, Sch Med, 600 South Wanping Rd, Shanghai 200030, Peoples R China 4.Shanghai Jiao Tong Univ, Brain Sci & Technol Res Ctr, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Deng, ZhengZheng,Wu, JinFeng,Gao, JiaQi,et al. Segregated precuneus network and default mode network in naturalistic imaging[J]. BRAIN STRUCTURE & FUNCTION,2019,224(9):3133-3144. |
APA | Deng, ZhengZheng.,Wu, JinFeng.,Gao, JiaQi.,Hu, Yang.,Zhang, YiWen.,...&Zuo, XiNian.(2019).Segregated precuneus network and default mode network in naturalistic imaging.BRAIN STRUCTURE & FUNCTION,224(9),3133-3144. |
MLA | Deng, ZhengZheng,et al."Segregated precuneus network and default mode network in naturalistic imaging".BRAIN STRUCTURE & FUNCTION 224.9(2019):3133-3144. |
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