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-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 ICC=.397). Second, the test-retest reliabilities of activity in a priori regions of interest across 11 common fMRI tasks collected in the context of 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 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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CITATION STYLE
Elliott, M., Knodt, A., Ireland, D., Morris, M., Poulton, R., Ramrakha, S., … Hariri, A. (2020). What is the Test-Retest Reliability of Common Task-fMRI Measures? New Empirical Evidence and a Meta-Analysis. Biological Psychiatry, 87(9), S132–S133. https://doi.org/10.1016/j.biopsych.2020.02.356
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