| Literature DB >> 32489141 |
Maxwell L Elliott1, Annchen R Knodt1, David Ireland2, Meriwether L Morris1, Richie Poulton2, Sandhya Ramrakha2, Maria L Sison1, Terrie E Moffitt1,3,4,5, Avshalom Caspi1,3,4,5, Ahmad R Hariri1.
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.Entities:
Keywords: cognitive neuroscience; individual differences; neuroimaging; statistical analysis
Mesh:
Year: 2020 PMID: 32489141 PMCID: PMC7370246 DOI: 10.1177/0956797620916786
Source DB: PubMed Journal: Psychol Sci ISSN: 0956-7976