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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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Principais autores: 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
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2026-04-01
Serier:Brain Research Bulletin
Fag:
Functional MRI
Aging
Online adgang:http://www.sciencedirect.com/science/article/pii/S0361923026001012
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