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
- Francesco La Rosa (ORCID: https://orcid.org/0000-0002-9224-4664)
- James Sumowski (ORCID: https://orcid.org/0000-0001-6111-4907)
- Meritxell Bach Cuadra (ORCID: https://orcid.org/0000-0003-2730-4285)
- Sarah Levy (ORCID: https://orcid.org/0000-0002-8254-2553)
- Jonadab dos Santos Silva (ORCID: https://orcid.org/0000-0002-4216-333X)
- Hayit Greenspan (ORCID: https://orcid.org/0000-0001-6908-7552)
- Erin Beck (ORCID: https://orcid.org/0000-0001-7839-7958)
- Robin Graney (ORCID: https://orcid.org/0000-0002-3226-6490)
- Emma Dereskewicz (ORCID: https://orcid.org/0009-0009-1177-2886)
- Julia Galasso
- Daniel Reich
- Nadia Garcia
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