Derivation of machine learning brain aging biomarkers for a set of forty thousand functional connectomes

Various Magnetic Resonance Imaging modalities were developed to explore the brain. Among them, functional MRI is of key importance for studying brain activity and its neural substrates. Recent works have pointed out that machine learning can use neuroimaging data to predict brain age. This approach...

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Главные авторы:	Nicolas Honnorat, Di Wang, Ngoc-Huynh Ho, David Martinez, Sachintha Ransara Brandigampala, Susan R. Heckbert, Mohsen Bahrami, Jayandra Jung Himali, Charlie DeCarli, Alexa Beiser, Timothy M. Hughes, Sudha Seshadri, Mohamad Habes
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2026-04-01
Серии:	Brain Research Bulletin
Предметы:	Functional MRI Aging
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S0361923026001012
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