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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 792-806 |
| Number of pages | 15 |
| Journal | Psychological Science |
| Volume | 31 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 1 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author(s) 2020.
Keywords
- cognitive neuroscience
- individual differences
- neuroimaging
- statistical analysis
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