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

Shella Keilholz, Cesar Caballero-Gaudes, Peter Bandettini, Gustavo Deco, Vince Calhoun

Research output: Contribution to journalReview articlepeer-review

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 languageEnglish (US)
Pages (from-to)465-481
Number of pages17
JournalBrain connectivity
Volume7
Issue number8
DOIs
StatePublished - Oct 2017

Keywords

  • dynamic analysis
  • dynamic connectivity
  • network dynamics
  • time-resolved resting-state fMRI

ASJC Scopus subject areas

  • Neuroscience(all)

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