Exploring the Potential of 7T MRI for Brain Age Prediction

Motivation: While most brain age models have used 3T MRI data, high-resolution 7T MRI may offer increased sensitivity to subtle deviations from healthy aging. Goal(s): To validate the utility of 7T MRI-derived brain age and compare it with 3T MRI for assessing aging in healthy individuals and subjects with multiple sclerosis. Approach: We applied BrainAgeNeXt, a state-of-the-art method for brain age prediction, to 7T and 3T MRI data from healthy individuals and subjects with multiple sclerosis. Results: Brain age was similar to chronological age in healthy volunteers, whereas it was significantly greater in people with multiple sclerosis. Impact: This study investigates 7T MRI for precise brain age prediction. Its application to individuals with multiple sclerosis demonstrates the potential for brain age as a valuable biomarker for assessing accelerated aging and the risk of disability progression in neurological conditions.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/5100
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Potential of 7T MRI for Brain Age Prediction

Francesco La Rosa, James Sumowski, Meritxell Bach Cuadra, Sarah Levy et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Brain Tumor Detection and Classification
article

Exploring the Potential of 7T MRI for Brain Age Prediction

Francesco La Rosa, James Sumowski, Meritxell Bach Cuadra, Sarah Levy, Jonadab dos Santos Silva, Hayit Greenspan, Erin Beck, Robin Graney, Emma Dereskewicz, Julia Galasso, Daniel Reich, Nadia Garcia
article en

Abstract

Motivation: While most brain age models have used 3T MRI data, high-resolution 7T MRI may offer increased sensitivity to subtle deviations from healthy aging. Goal(s): To validate the utility of 7T MRI-derived brain age and compare it with 3T MRI for assessing aging in healthy individuals and subjects with multiple sclerosis. Approach: We applied BrainAgeNeXt, a state-of-the-art method for brain age prediction, to 7T and 3T MRI data from healthy individuals and subjects with multiple sclerosis. Results: Brain age was similar to chronological age in healthy volunteers, whereas it was significantly greater in people with multiple sclerosis. Impact: This study investigates 7T MRI for precise brain age prediction. Its application to individuals with multiple sclerosis demonstrates the potential for brain age as a valuable biomarker for assessing accelerated aging and the risk of disability progression in neurological conditions.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 69%
Brain Tumor Detection and Classification
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