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

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 capture the b...

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Detalles Bibliográficos
Autores principales: Simpraga, Sonja, Alvarez-Jimenez, Ricardo, Mansvelder, Huibert D., van Gerven, Joop M. A., Groeneveld, Geert Jan, Poil, Simon-Shlomo, Linkenkaer-Hansen, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515842/
https://www.ncbi.nlm.nih.gov/pubmed/28720796
http://dx.doi.org/10.1038/s41598-017-06165-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515842/
https://www.ncbi.nlm.nih.gov/pubmed/28720796
http://dx.doi.org/10.1038/s41598-017-06165-4

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