EEG machine learning for accurate detection of cholinergic intervention and Alzheimer’s disease

Abstract Monitoring effects of disease or therapeutic intervention on brain function is increasingly important for clinical trials, albeit hampered by inter-individual variability and subtle effects. Here, we apply complementary biomarker algorithms to electroencephalography (EEG) recordings to capt...

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Autores principales: Sonja Simpraga, Ricardo Alvarez-Jimenez, Huibert D. Mansvelder, Joop M. A. van Gerven, Geert Jan Groeneveld, Simon-Shlomo Poil, Klaus Linkenkaer-Hansen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/9ab39da007ab4afbb95dbc8502f9fe86
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