Aging as an active player in Alzheimer’s disease classification: Insights from feature selection in BrainAge models

Aging significantly affects BrainAge-based classification of Alzheimer's disease. Feature selection plays a critical role in mitigating this effect, as the outputs of models trained to predict age, the deltas, may fail in Alzheimer´s disease classification. These findings underscore the need for task-specific feature selection and model design to ensure that BrainAge models are appropriately applied in neurodegenerative disease research.

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Publication Details

Journal
NeuroImage
Published
2025-10-21
DOI
https://doi.org/10.1016/j.neuroimage.2025.121548
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Aging as an active player in Alzheimer’s disease classification: Insights from feature selection in BrainAge models

Rachel F. Buckley, Ibai Díez, Jorge García Condado, Jesús M. Cortés et al.
NeuroImage
Functional Brain Connectivity Studies
article

Aging as an active player in Alzheimer’s disease classification: Insights from feature selection in BrainAge models

Rachel F. Buckley, Ibai Díez, Jorge García Condado, Jesús M. Cortés, Asier Erramuzpe, Iñigo Tellaetxe Elorriaga, Maria Carrigan, Ines Verdugo Recuero, Colin Birkhenbil
article en

Abstract

Aging significantly affects BrainAge-based classification of Alzheimer's disease. Feature selection plays a critical role in mitigating this effect, as the outputs of models trained to predict age, the deltas, may fail in Alzheimer´s disease classification. These findings underscore the need for task-specific feature selection and model design to ensure that BrainAge models are appropriately applied in neurodegenerative disease research.

NeuroImageVol. 322
Ikerbasque (ES), Brigham and Women's Hospital (US), Harvard University (US), Massachusetts General Hospital (US), BioCruces Health research Institute (ES), Amsterdam Neuroscience (NL), Bioef - Fundación Vasca de Innovación e Investigación Sanitarias (ES), Universidad Carlos III de Madrid (ES)
U.S. Department of Defense, Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, University of Southern California, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Novartis Pharmaceuticals Corporation, Northern California Institute for Research and Education, Eisai, Ikerbasque, Basque Foundation for Science, Ministerio de Ciencia e Innovación, Servier, H. Lundbeck A/S, IXICO, Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona, National Institutes of Health, Genentech, Canadian Institutes of Health Research
Openalex Percentile: Top 70%
Functional Brain Connectivity Studies
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