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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 465-481 |
| Number of pages | 17 |
| Journal | Brain connectivity |
| Volume | 7 |
| Issue number | 8 |
| DOIs | |
| State | Published - Oct 2017 |
Keywords
- dynamic analysis
- dynamic connectivity
- network dynamics
- time-resolved resting-state fMRI
ASJC Scopus subject areas
- Neuroscience(all)