Prediction of cognitive decline in Parkinson’s disease (PD) patients with electroencephalography (EEG) connectivity characterized by time-between-phase-crossing (TBPC)

The aim of the study is to identify the dynamic change pattern of EEG to predict cognitive decline in patients with Parkinson’s disease. Here we demonstrate that the quantification of synchrony-pattern changes across the scalp, measured using electroencephalography (EEG), offers an alternative appro...

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Detalles Bibliográficos
Autores principales: Gschwandtner, Ute, Bogaarts, Guy, Roth, Volker, Fuhr, Peter
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/PMC10060251/
https://www.ncbi.nlm.nih.gov/pubmed/36991083
http://dx.doi.org/10.1038/s41598-023-32345-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060251/
https://www.ncbi.nlm.nih.gov/pubmed/36991083
http://dx.doi.org/10.1038/s41598-023-32345-6

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