Article

Optimizing Artificial Neural Network Models to Predict Brain-Age from Functional MRI

2025-04-03

Abstract excerpt

Large MRI datasets combined with deep learning methods have realized a new state of the art for brain-age prediction. Age prediction may serve as a valuable biomarker for brain health and disease given that over-estimated age based on MRI (usually as predicted by a machine learning model; sometimes called a “brain-age gap”) has been associated with neurological and psychiatric disorders. However, most of these res...

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Literature Corpus work: 210fd504-a412-5648-888d-06de1d619008
DOI: 10.1101/2025.03.28.645964

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