Connectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait

Asher et al analyzed synchronization networks of electroencephalography brain waves from three Parkinson’s disease (PD) patient groups with different freezing of gait (FoG) severity using tools based on network science and non-linear dynamics. Their findings suggest that there is a potential relatio...

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Autores principales: Eitan E. Asher, Meir Plotnik, Moritz Günther, Shay Moshel, Orr Levy, Shlomo Havlin, Jan W. Kantelhardt, Ronny P. Bartsch
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/11d178daf15649e8ace071528befbe93
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spelling oai:doaj.org-article:11d178daf15649e8ace071528befbe932021-12-02T19:04:11ZConnectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait10.1038/s42003-021-02544-w2399-3642https://doaj.org/article/11d178daf15649e8ace071528befbe932021-08-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02544-whttps://doaj.org/toc/2399-3642Asher et al analyzed synchronization networks of electroencephalography brain waves from three Parkinson’s disease (PD) patient groups with different freezing of gait (FoG) severity using tools based on network science and non-linear dynamics. Their findings suggest that there is a potential relationship between PD/FoG severity and overall EEG synchronization and their approach could be used to help gain further insight into the pathophysiology leading to FoG.Eitan E. AsherMeir PlotnikMoritz GüntherShay MoshelOrr LevyShlomo HavlinJan W. KantelhardtRonny P. BartschNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Eitan E. Asher
Meir Plotnik
Moritz Günther
Shay Moshel
Orr Levy
Shlomo Havlin
Jan W. Kantelhardt
Ronny P. Bartsch
Connectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait
description Asher et al analyzed synchronization networks of electroencephalography brain waves from three Parkinson’s disease (PD) patient groups with different freezing of gait (FoG) severity using tools based on network science and non-linear dynamics. Their findings suggest that there is a potential relationship between PD/FoG severity and overall EEG synchronization and their approach could be used to help gain further insight into the pathophysiology leading to FoG.
format article
author Eitan E. Asher
Meir Plotnik
Moritz Günther
Shay Moshel
Orr Levy
Shlomo Havlin
Jan W. Kantelhardt
Ronny P. Bartsch
author_facet Eitan E. Asher
Meir Plotnik
Moritz Günther
Shay Moshel
Orr Levy
Shlomo Havlin
Jan W. Kantelhardt
Ronny P. Bartsch
author_sort Eitan E. Asher
title Connectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait
title_short Connectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait
title_full Connectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait
title_fullStr Connectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait
title_full_unstemmed Connectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gait
title_sort connectivity of eeg synchronization networks increases for parkinson’s disease patients with freezing of gait
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/11d178daf15649e8ace071528befbe93
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