Predicting Alzheimer's disease CSF core biomarkers: a multimodal Machine Learning approach

IntroductionAlzheimer's disease (AD) is a progressive neurodegenerative disorder. Current core cerebrospinal fluid (CSF) AD biomarkers, widely employed for diagnosis, require a lumbar puncture to be performed, making them impractical as screening tools. Considering the role of sleep disturbances in...

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Principais autores:	Anna Michela Gaeta, María Quijada-López, Ferran Barbé, Rafaela Vaca, Montse Pujol, Olga Minguez, Manuel Sánchez-de-la-Torre, Arrate Muñoz-Barrutia, Gerard Piñol-Ripoll
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2024-06-01
Series:	Frontiers in Aging Neuroscience
Assuntos:	Alzheimer's disease neurodegeneration biomechanism diagnosis therapeutic target quantitative polysomnographic signal analysis
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fnagi.2024.1369545/full
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