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PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer’s disease

Developing reliable biomarkers is important for screening Alzheimer’s disease (AD) and monitoring its progression. Although EEG is non-invasive direct measurement of brain neural activity and has potentials for various neurologic disorders, vulnerability to noise, difficulty in clinical interpretati...

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Detalles Bibliográficos
Autores principales:	Kim, Nam Heon, Park, Ukeob, Yang, Dong Won, Choi, Seong Hye, Youn, Young Chul, Kang, Seung Wan
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/PMC10293163/ https://www.ncbi.nlm.nih.gov/pubmed/37365198 http://dx.doi.org/10.1038/s41598-023-36713-0

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