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A guide to the measurement and interpretation of fMRI test-retest reliability

Stephanie Noble, Dustin Scheinost, R. Todd Constable

2021Current Opinion in Behavioral Sciences192 citationsDOIOpen Access PDF

Abstract

The test-retest reliability of functional neuroimaging data has recently been a topic of much discussion. Despite early conflicting reports, converging reports now suggest that test-retest reliability is poor for standard univariate measures-namely, voxel- and region-level task-based activation and edge-level functional connectivity. To better understand the implications of these recent studies requires understanding the nuances of test-retest reliability as commonly measured by the intraclass correlation coefficient (ICC). Here we provide a guide to the measurement and interpretation of test-retest reliability in functional neuroimaging and review major findings in the literature. We highlight the importance of making choices that improve reliability so long as they do not diminish validity, pointing to the potential of multivariate approaches that improve both. Finally, we discuss the implications of recent reports of low test-retest reliability in the context of ongoing work in the field.

Topics & Concepts

Reliability (semiconductor)Intraclass correlationUnivariateContext (archaeology)PsychologyNeuroimagingTest (biology)Multivariate statisticsInterpretation (philosophy)Cognitive psychologyComputer sciencePsychometricsMachine learningClinical psychologyPsychiatryBiologyPower (physics)Programming languageQuantum mechanicsPaleontologyPhysicsFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications
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