Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions

Brain Connect. 2017 Oct;7(8):465-481. doi: 10.1089/brain.2017.0543.

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.

Publication types

  • Review

MeSH terms

  • Brain / physiology*
  • Brain Mapping*
  • Computer Simulation
  • Humans
  • Magnetic Resonance Imaging*
  • Models, Neurological
  • Nerve Net / physiology