| Literature DB >> 28874061 |
Shella Keilholz1, Cesar Caballero-Gaudes2, Peter Bandettini3,4, Gustavo Deco5,6,7,8, Vince Calhoun9,10.
Abstract
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.Keywords: dynamic analysis; dynamic connectivity; network dynamics; time-resolved resting-state fMRI
Mesh:
Year: 2017 PMID: 28874061 PMCID: PMC5653134 DOI: 10.1089/brain.2017.0543
Source DB: PubMed Journal: Brain Connect ISSN: 2158-0014