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

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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Bibliographic Details
Main Authors: Sonja Simpraga, Ricardo Alvarez-Jimenez, Huibert D. Mansvelder, Joop M. A. van Gerven, Geert Jan Groeneveld, Simon-Shlomo Poil, Klaus Linkenkaer-Hansen
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-06165-4

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https://doi.org/10.1038/s41598-017-06165-4

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