Stability of dynamic functional architecture differs between brain networks and states | |
Li, Le3; Lu, Bin3,4; Yan, Chao-Gan1,2,3,4 | |
刊名 | NeuroImage |
2019-09-29 | |
卷号 | 216页码:116230 |
关键词 | Functional stability Association region Resting state Movie watching Dynamic functional connectivity |
ISSN号 | 1095-9572 |
DOI | 10.1016/j.neuroimage.2019.116230 |
通讯作者 | Yan, Chao-Gan(yancg@psych.ac.cn) |
产权排序 | 1 |
文献子类 | article |
英文摘要 | Stable representation of information in distributed neural connectivity is critical to function effectively in the world. Despite the dynamic nature of the brain's functional architecture, characterizing its temporal stability within a continuous state has been largely neglected. Here we characterized stability of functional architecture at a dynamic timescale (~1 min) for each brain voxel by measuring the concordance of dynamic functional connectivity (DFC) over time, compared between association and unimodal regions, and established its reliability using test-retest resting-state fMRI data of adults from an open dataset. After the measure of functional stability was established, we further employed another fMRI open dataset which included movie-watching and resting-state data of children and adolescents, to explore how stability was modified by natural viewing from its intrinsic form, with specific focus on the associative and primary visual cortices. The results showed that high-order association regions, especially the default mode network, demonstrated high stability during resting-state scans, while primary sensory-motor cortices revealed relatively lower stability. During movie watching, stability in the primary visual cortex was decreased, which was associated with larger DFC variation with neighboring regions. By contrast, higher-order regions in the ventral and dorsal visual stream demonstrated increased stability. The distribution of functional stability and its modification describes a profile of the brain's stability property, which may be useful reference for examining distinct mental states and disorders. |
资助项目 | National Key R&D Program of China[2017YFC1309902] ; National Natural Science Foundation of China[81671774] ; National Natural Science Foundation of China[81630031] ; Hundred Talents Program of the Chinese Academy of Sciences ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[Y7CX322008] ; 13th Five-Year Informatization Plan of the Chinese Academy of Sciences[XXH13505] ; Beijing Municipal Science & Technology Commission[Z161100000216152] |
WOS关键词 | TEMPORAL RECEPTIVE WINDOWS ; PARIETAL CORTEX ; CONNECTIVITY ; FLUCTUATIONS ; RELIABILITY ; VARIABILITY ; CONSCIOUSNESS ; ORGANIZATION ; STIMULATION ; WAKEFULNESS |
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:000541142200014 |
资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Hundred Talents Program of the Chinese Academy of Sciences ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences ; 13th Five-Year Informatization Plan of the Chinese Academy of Sciences ; Beijing Municipal Science & Technology Commission |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/31899] |
专题 | 中国科学院心理研究所 |
通讯作者 | Li, Le |
作者单位 | 1.Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China 2.Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY, USA 3.CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China 4.Department of Psychology, University of Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Li, Le,Lu, Bin,Yan, Chao-Gan. Stability of dynamic functional architecture differs between brain networks and states[J]. NeuroImage,2019,216:116230. |
APA | Li, Le,Lu, Bin,&Yan, Chao-Gan.(2019).Stability of dynamic functional architecture differs between brain networks and states.NeuroImage,216,116230. |
MLA | Li, Le,et al."Stability of dynamic functional architecture differs between brain networks and states".NeuroImage 216(2019):116230. |
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