Brain-age in ultra-low-field MRI: How well does it work?

Imaging Neuroscience 2026 Open access

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Authors: Francesca Biondo, Carly Bennallick, Sophie Martin, Lemuel Puglisi, Thomas Calvert Booth, David A. Wood, Juan Eugenio Iglesias, František Váša, James Howard Cole
DOI: 10.1162/imag.a.1352
Cited by: 1
References: 45

Abstract

Abstract Brain-age estimates the brain’s biological age from neuroimaging data and has been proposed as a biomarker of brain health and disease risk. While brain-age estimation commonly uses high-field (HF) magnetic resonance imaging (MRI) (>1.5 T), this is costly and inaccessible, limiting its applicability. Emerging ultra-low-field (ULF) MRI (

Fields of Study & Subjects

Advanced MRI Techniques and Applications Functional Brain Connectivity Studies Fetal and Pediatric Neurological Disorders

Publication details

Journal / source
Imaging Neuroscience
Publisher
MIT Press
Volume
4
Publication date
1 January 2026
Language
EN