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      What Is the Test-Retest Reliability of Common Task-Functional MRI Measures? New Empirical Evidence and a Meta-Analysis

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          Abstract

          Identifying brain biomarkers of disease risk is a growing priority in neuroscience. The ability to identify meaningful biomarkers is limited by measurement reliability; unreliable measures are unsuitable for predicting clinical outcomes. Measuring brain activity using task functional MRI (fMRI) is a major focus of biomarker development; however, the reliability of task fMRI has not been systematically evaluated. We present converging evidence demonstrating poor reliability of task-fMRI measures. First, a meta-analysis of 90 experiments ( N = 1,008) revealed poor overall reliability—mean intraclass correlation coefficient (ICC) = .397. Second, the test-retest reliabilities of activity in a priori regions of interest across 11 common fMRI tasks collected by the Human Connectome Project ( N = 45) and the Dunedin Study ( N = 20) were poor (ICCs = .067–.485). Collectively, these findings demonstrate that common task-fMRI measures are not currently suitable for brain biomarker discovery or for individual-differences research. We review how this state of affairs came to be and highlight avenues for improving task-fMRI reliability.

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          Author and article information

          Journal
          Psychological Science
          Psychol Sci
          SAGE Publications
          0956-7976
          1467-9280
          June 03 2020
          : 095679762091678
          Affiliations
          [1 ]Department of Psychology & Neuroscience, Duke University
          [2 ]Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago
          [3 ]Social, Genetic, & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London
          [4 ]Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine
          [5 ]Center for Genomic and Computational Biology, Duke University
          Article
          10.1177/0956797620916786
          7370246
          32489141
          e9d1fee6-176b-4bdc-acdd-388125ed13bb
          © 2020

          http://www.sagepub.com/licence-information-for-chorus

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