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The Resting Brain: Unconstrained yet Reliable

Cerebral Cortex · 2009 · Vol. 19(10) · pp. 2209–2229
Zarrar ShehzadClare KellyPhilip T. ReissDylan G. GeeKristin GotimerLucina Q. UddinSang H. LeeDaniel S. MarguliesAmy Krain RoyBharat B. BiswalEva PetkovaF. Xavier CastellanosMichael P. Milham

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.

Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsNeural dynamics and brain functionResting state fMRIFunctional connectivityDefault mode networkReliability (semiconductor)VoxelFunctional magnetic resonance imagingCorrelationPsychologyNeuroscienceComputer science

MeSH terms

AdultAnalysis of VarianceBrainBrain MappingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNerve NetRegression AnalysisRestSignal Processing, Computer-AssistedReproducibility of ResultsCluster Analysis
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Consistent resting-state networks across healthy subjects
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