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

Background: BrainAge models estimate the biological age of the brain using neuroimaging or clinical features, making them promising tools for studying neurodegenerative diseases like Alzheimer’s disease. However, the reliance of BrainAge models on neuroimaging features such as grey matter volume and...

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書誌詳細

出版年:	NeuroImage
主要な著者:	Jorge Garcia Condado, Ines Verdugo Recuero, Iñigo Tellaetxe-Elorriaga, Colin Birkhenbil, Maria Carrigan, Ibai Diez, Rachel F Buckley, Asier Erramuzpe, Jesus M Cortes
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2025-11-01
主題:	Brain age Alzheimer’s Disease Neuroimaging Machine Learning Neuropsychology
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1053811925005518