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Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks

Background: In recent years, predicting and modeling the progression of Alzheimer’s disease (AD) based on neuropsychological tests has become increasingly appealing in AD research. Objective: In this study, we aimed to predict the neuropsychological scores and investigate the non-linear progression...

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Detalles Bibliográficos
Autores principales:	Hojjati, Seyed Hani, Babajani-Feremi, Abbas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Computational Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770936/ https://www.ncbi.nlm.nih.gov/pubmed/35069161 http://dx.doi.org/10.3389/fncom.2021.769982

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