Article

Impact of simulated MRI artifacts on deep learning-based brain age prediction

2026-03-26

Abstract excerpt

Brain age is a promising biomarker for detecting atypical and pathological brain aging, but its accuracy and reliability depend critically on MRI quality. The impact of common MR image degradations such as motion, ghosting, blurring, and noise on brain age predictions remains unclear. In this study, we systematically assessed the effects of four simulated MRI artifact types, across ten severity levels, on brain ag...

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Literature Corpus work: 6ce6ea95-6736-5abb-a3bc-4462a4d9279f
DOI: 10.64898/2026.03.24.26349152

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