期刊
BRAIN CONNECTIVITY
卷 7, 期 8, 页码 465-481出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/brain.2017.0543
关键词
dynamic analysis; dynamic connectivity; network dynamics; time-resolved resting-state fMRI
资金
- Office Of The Director
- Office of Integrative Activities [1539067] Funding Source: National Science Foundation
Time-resolved analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data allows researchers to extract more information about brain function than traditional functional connectivity analysis, yet a number of challenges in data analysis and interpretation remain. This article briefly summarizes common methods for time-resolved analysis and presents some of the pressing issues and opportunities in the field. From there, the discussion moves to interpretation of the network dynamics observed with rs-fMRI and the role that rs-fMRI can play in elucidating the large-scale organization of brain activity.
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