| Title: | Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex |
| Journal: | eLife |
| Published: | 17 Apr 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37067031/ |
| DOI: | https://doi.org/10.7554/elife.81067 |
| Citations: | 15 (15 in last 2 years) as of 8 Aug 2024 |
Publication 11352
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Abstract
Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer's disease (AD), but its validation against markers of neurodegeneration and AD is lacking. Here, imaging-derived measures from the UK Biobank dataset (N=22,661) were used to predict brain-age in 2,314 cognitively unimpaired (CU) individuals at higher risk of AD and mild cognitive impaired (MCI) patients from four independent cohorts with available biomarker data: ALFA+, ADNI, EPAD, and OASIS. Brain-age delta was associated with abnormal amyloid-β, more advanced stages (AT) of AD pathology and APOE-ε4 status. Brain-age delta was positively associated with plasma neurofilament light, a marker of neurodegeneration, and sex differences in the brain effects of this marker were found. These results validate brain-age delta as a non-invasive marker of biological brain aging in non-demented individuals with abnormal levels of biomarkers of AD and axonal injury.</p>
31 Authors
- Irene Cumplido-Mayoral
- Marina García-Prat
- Grégory Operto
- Carles Falcon
- Mahnaz Shekari
- Raffaele Cacciaglia
- Marta Milà-Alomà
- Luigi Lorenzini
- Silvia Ingala
- Alle Meije Wink
- Henk JMM Mutsaerts
- Carolina Minguillón
- Karine Fauria
- José Luis Molinuevo
- Sven Haller
- Gael Chetelat
- Adam Waldman
- Adam J Schwarz
- Frederik Barkhof
- Ivonne Suridjan
- Gwendlyn Kollmorgen
- Anna Bayfield
- Henrik Zetterberg
- Kaj Blennow
- Marc Suárez-Calvet
- Verónica Vilaplana
- Juan Domingo Gispert
- ALFA study
- EPAD study
- ADNI study
- OASIS study
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