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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...
Autores principales: | Gschwandtner, Ute, Bogaarts, Guy, Roth, Volker, Fuhr, Peter |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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