Article
Uncovering and mitigating bias in large, automated MRI analyses of brain development
2023-03-01
Abstract excerpt
Large, population-based MRI studies of adolescents promise transformational insights into neurodevelopment and mental illness risk 1, 2 . However, MRI studies of youth are especially susceptible to motion and other artifacts 3, 4 . These artifacts may go undetected by automated quality control (QC) methods that are preferred in high-throughput imaging studies, 5 and can potentially introduce non-random noise in...
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Identifiers and source
- Literature Corpus work
- f3f13591-e0c2-510e-bd78-5cdfef01803a
- DOI
- 10.1101/2023.02.28.530498