Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations | |
Yang, Zhen1,2; Telesford, Qawi K.1; Franco, Alexandre R.1,2,3; Lim, Ryan1; Gu, Shi4; Xu, Ting3; Ai, Lei3; Castellanos, Francisco X.1,5; Yan, Chao-Gan6; Colcombe, Stan1,2 | |
刊名 | NEUROIMAGE |
2021-01-15 | |
卷号 | 225页码:23 |
关键词 | Reliability Multilayer networks Flexibility Module allegiance Scan duration Naturalist viewing |
ISSN号 | 1053-8119 |
DOI | 10.1016/j.neuroimage.2020.117489 |
产权排序 | 6 |
文献子类 | 综述 |
英文摘要 | Multilayer network models have been proposed as an effective means of capturing the dynamic configuration of distributed neural circuits and quantitatively describing how communities vary over time. Beyond general insights into brain function, a growing number of studies have begun to employ these methods for the study of individual differences. However, test-retest reliabilities for multilayer network measures have yet to be fully quantified or optimized, potentially limiting their utility for individual difference studies. Here, we systematically evaluated the impact of multilayer community detection algorithms, selection of network parameters, scan duration, and task condition on test-retest reliabilities of multilayer network measures (i.e., flexibility, integration, and recruitment). A key finding was that the default method used for community detection by the popular generalized Louvain algorithm can generate erroneous results. Although available, an updated algorithm addressing this issue is yet to be broadly adopted in the neuroimaging literature. Beyond the algorithm, the present work identified parameter selection as a key determinant of test-retest reliability; however, optimization of these parameters and expected reliabilities appeared to be dataset-specific. Once parameters were optimized, consistent with findings from the static functional connectivity literature, scan duration was a much stronger determinant of reliability than scan condition. When the parameters were optimized and scan duration was sufficient, both passive (i.e., resting state, Inscapes, and movie) and active (i.e., flanker) tasks were reliable, although reliability in the movie watching condition was significantly higher than in the other three tasks. The minimal data requirement for achieving reliable measures for the movie watching condition was 20 min, and 30 min for the other three tasks. Our results caution the field against the use of default parameters without optimization based on the specific datasets to be employed - a process likely to be limited for most due to the lack of test-retest samples to enable parameter optimization. |
资助项目 | NYS Office of Mental Health ; NIMH[U01MH099059] ; NIMH[R24MH114806] ; NIMH[R01AG047596] ; NIMH[R01MH111439] ; National Natural Science Foundation of China[NSFC-61876032] ; NIH Blueprint for Neuroscience Research[1U54MH091657] ; McDonnell Center for Systems Neuroscience at Washington University ; [NSFC-81671774] |
WOS关键词 | TEST-RETEST RELIABILITY ; RESTING-STATE FMRI ; FUNCTIONAL CONNECTIVITY ; BRAIN NETWORKS ; COMMUNITY STRUCTURE ; AREAL ORGANIZATION ; RECONFIGURATION ; CORTEX ; CONNECTOMICS ; MODULARITY |
WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
WOS记录号 | WOS:000600797900042 |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/38337] |
专题 | 心理研究所_中国科学院行为科学重点实验室 |
通讯作者 | Yang, Zhen; Milham, Michael P. |
作者单位 | 1.Nathan S Kline Inst Psychiat Res, Ctr Biomed Imaging & Neuromodulat, 140 Old Orangeburg Rd, Orangeburg, NY 10962 USA 2.NYU, Dept Psychiat, Grossman Sch Med, 550 1st Ave, New York, NY 10016 USA 3.Child Mind Inst, Ctr Developing Brain, 101 East 56th St, New York, NY 10022 USA 4.Univ Elect Sci & Technol China, Chengdu, Sichuan, Peoples R China 5.NYU, Grossman Sch Med, Dept Child & Adolescent Psychiat, New York, NY 10016 USA 6.Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Zhen,Telesford, Qawi K.,Franco, Alexandre R.,et al. Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations[J]. NEUROIMAGE,2021,225:23. |
APA | Yang, Zhen.,Telesford, Qawi K..,Franco, Alexandre R..,Lim, Ryan.,Gu, Shi.,...&Milham, Michael P..(2021).Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations.NEUROIMAGE,225,23. |
MLA | Yang, Zhen,et al."Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations".NEUROIMAGE 225(2021):23. |
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