Characterization of connectivity dynamics in intrinsic brain networks

Vince Calhoun, Maziar Yaesoubi, Barnaly Rashid, Robyn Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spontaneous fluctuations are a hallmark of neural recordings, emergent over time scales spanning milliseconds to tens-of-minutes. However, investigations of intrinsic brain organization based on resting-state functional connectivity (FC) have largely disregarded the presence and potential of temporal variability, as most current methods to examine FC implicitly assume that relationships are constant throughout the recording period. Recent studies have demonstrated the nonstationarity of spatial and temporal dynamics of resting state brain activity and highlighted the importance of understanding network dynamics to better characterize brain states. Here, we review recent findings, overview of different approaches, and future directions to access whole-brain connectivity dynamics in intrinsic networks (INs).

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages831-834
Number of pages4
DOIs
StatePublished - Dec 1 2013
Externally publishedYes
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
Country/TerritoryUnited States
CityAustin, TX
Period12/3/1312/5/13

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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