TMS-EEG perturbation biomarkers for Alzheimer’s disease patients classification

The combination of TMS and EEG has the potential to capture relevant features of Alzheimer’s disease (AD) pathophysiology. We used a machine learning framework to explore time-domain features characterizing AD patients compared to age-matched healthy controls (HC). More than 150 time-domain features...

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Detalles Bibliográficos
Autores principales: Tăuƫan, Alexandra-Maria, Casula, Elias P., Pellicciari, Maria Concetta, Borghi, Ilaria, Maiella, Michele, Bonni, Sonia, Minei, Marilena, Assogna, Martina, Palmisano, Annalisa, Smeralda, Carmelo, Romanella, Sara M., Ionescu, Bogdan, Koch, Giacomo, Santarnecchi, Emiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175269/
https://www.ncbi.nlm.nih.gov/pubmed/37169900
http://dx.doi.org/10.1038/s41598-022-22978-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175269/
https://www.ncbi.nlm.nih.gov/pubmed/37169900
http://dx.doi.org/10.1038/s41598-022-22978-4

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