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Stability of dynamic functional architecture differs between brain networks and states
Li, Le1; Lu, Bin1,2; Yan, Chao-Gan1,2,3,4
First AuthorLi, Le
Corresponding AuthorYan, Chao-Gan(yancg@psych.ac.cn)
Correspondent Emailyancg@psych.ac.cn
2019-09-29
Source PublicationNeuroImage
ISSN1095-9572
Subtypearticle
Volume216Pages:116230
QuartileQ1
Contribution Rank1
Abstract

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.

KeywordFunctional stability Association region Resting state Movie watching Dynamic functional connectivity
DOI10.1016/j.neuroimage.2019.116230
Indexed BySCI
Language英语
Funding OrganizationNational 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
Funding ProjectNational 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 Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000541142200014
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
WOS KeywordTEMPORAL RECEPTIVE WINDOWS ; PARIETAL CORTEX ; CONNECTIVITY ; FLUCTUATIONS ; RELIABILITY ; VARIABILITY ; CONSCIOUSNESS ; ORGANIZATION ; STIMULATION ; WAKEFULNESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/31899
Collection中国科学院心理研究所
Corresponding AuthorLi, Le
Affiliation1.CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
2.Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
3.Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
4.Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY, USA
First Author AffilicationKey Laboratory of Behavioral Science, CAS
Corresponding Author AffilicationKey Laboratory of Behavioral Science, CAS
Recommended Citation
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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