The resting brain: Unconstrained yet reliable

  • Zarrar Shehzad
  • , A. M.Clare Kelly
  • , Philip T. Reiss
  • , Dylan G. Gee
  • , Kristin Gotimer
  • , Lucina Q. Uddin
  • , Sang Han Lee
  • , Daniel S. Margulies
  • , Amy Krain Roy
  • , Bharat B. Biswal
  • , Eva Petkova
  • , F. Xavier Castellanos
  • , Michael P. Milham

Research output: Contribution to journalArticlepeer-review

795 Scopus citations

Abstract

Recent years have witnessed an upsurge in the usage of resting-state functional magnetic resonance imaging (fMRI) to examine functional connectivity (fcMRI), both in normal and pathological populations. Despite this increasing popularity, concerns about the psychologically unconstrained nature of the "resting-state" remain. Across studies, the patterns of functional connectivity detected are remarkably consistent. However, the test-retest reliability for measures of resting state fcMRI measures has not been determined. Here, we quantify the test-retest reliability, using resting scans from 26 participants at 3 different time points. Specifically, we assessed intersession (>5 months apart), intrasession (<1 h apart), and multiscan (across all 3 scans) reliability and consistency for both region-of-interest and voxel-wise analyses. For both approaches, we observed modest to high reliability across connections, dependent upon 3 predictive factors: 1) correlation significance (significantly nonzero > nonsignificant), 2) correlation valence (positive > negative), and 3) network membership (default mode > task positive network). Short- and long-term measures of the consistency of global connectivity patterns were highly robust. Finally, hierarchical clustering solutions were highly reproducible, both across participants and sessions. Our findings provide a solid foundation for continued examination of resting state fcMRI in typical and atypical populations.

Original languageEnglish (US)
Pages (from-to)2209-2229
Number of pages21
JournalCerebral Cortex
Volume19
Issue number10
DOIs
StatePublished - Oct 2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

Keywords

  • FMRI
  • Intraclass correlations
  • Reliability
  • Resting-state functional connectivity
  • Test-retest

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