Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability
文献类型:期刊论文
作者 | Jiang, Chao2; He, Ye3; Betzel, Richard F.4; Wang, Yin-Shan5,6; Xing, Xiu-Xia7; Zuo, Xi-Nian1,5,6,8 |
刊名 | NETWORK NEUROSCIENCE |
出版日期 | 2023-10-01 |
卷号 | 7期号:3页码:1080-1108 |
ISSN号 | 2472-1751 |
关键词 | Individual difference Reliability Open science Spontaneous brain activity Connectome |
DOI | 10.1162/netn_a_00315 |
产权排序 | 8 |
文献子类 | 综述 |
英文摘要 | A rapidly emerging application of network neuroscience in neuroimaging studies has provided useful tools to understand individual differences in intrinsic brain function by mapping spontaneous brain activity, namely intrinsic functional network neuroscience (ifNN). However, the variability of methodologies applied across the ifNN studies-with respect to node definition, edge construction, and graph measurements-makes it difficult to directly compare findings and also challenging for end users to select the optimal strategies for mapping individual differences in brain networks. Here, we aim to provide a benchmark for best ifNN practices by systematically comparing the measurement reliability of individual differences under different ifNN analytical strategies using the test-retest design of the Human Connectome Project. The results uncovered four essential principles to guide ifNN studies: (1) use a whole brain parcellation to define network nodes, including subcortical and cerebellar regions; (2) construct functional networks using spontaneous brain activity in multiple slow bands; and (3) optimize topological economy of networks at individual level; and (4) characterize information flow with specific metrics of integration and segregation. We built an interactive online resource of reliability assessments for future ifNN (https://ibraindata.com/research/ifNN). |
收录类别 | SCI |
WOS关键词 | RESTING-STATE FMRI ; HUMAN CEREBRAL-CORTEX ; FUNCTIONAL CONNECTIVITY ; ORGANIZATION ; CONNECTOMICS ; MOTION ; TREES ; GUIDE ; COST |
资助项目 | Xi-Nian Zuo, The STI 2030 -Major Projects[2021ZD0200500] |
WOS研究方向 | Neurosciences & Neurology |
语种 | 英语 |
出版者 | MIT PRESS |
WOS记录号 | WOS:001050899300010 |
资助机构 | Xi-Nian Zuo, The STI 2030 -Major Projects |
源URL | [http://ir.psych.ac.cn/handle/311026/45864] |
专题 | 心理研究所_认知与发展心理学研究室 |
通讯作者 | Xing, Xiu-Xia; Zuo, Xi-Nian |
作者单位 | 1.Natl Basic Sci Data Ctr, Beijing, Peoples R China 2.Capital Normal Univ, Sch Psychol, Beijing, Peoples R China 3.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing, Peoples R China 4.Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN USA 5.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China 6.Beijing Normal Univ, McGovern Inst Brain Res, Dev Populat Neurosci Res Ctr, Int Data Grp, Beijing, Peoples R China 7.Beijing Univ Technol, Coll Math, Fac Sci, Dept Appl Math, Beijing, Peoples R China 8.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, Chao,He, Ye,Betzel, Richard F.,et al. Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability[J]. NETWORK NEUROSCIENCE,2023,7(3):1080-1108. |
APA | Jiang, Chao,He, Ye,Betzel, Richard F.,Wang, Yin-Shan,Xing, Xiu-Xia,&Zuo, Xi-Nian.(2023).Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability.NETWORK NEUROSCIENCE,7(3),1080-1108. |
MLA | Jiang, Chao,et al."Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability".NETWORK NEUROSCIENCE 7.3(2023):1080-1108. |
入库方式: OAI收割
来源:心理研究所
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