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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Main Authors: Eitan E. Asher, Meir Plotnik, Moritz Günther, Shay Moshel, Orr Levy, Shlomo Havlin, Jan W. Kantelhardt, Ronny P. Bartsch
Format: Article
Language:English
Published: Nature Portfolio 2021-08-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-021-02544-w
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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
collection DOAJ
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.
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spelling doaj.art-11d178daf15649e8ace071528befbe932022-12-21T21:32:35ZengNature PortfolioCommunications Biology2399-36422021-08-014111010.1038/s42003-021-02544-wConnectivity of EEG synchronization networks increases for Parkinson’s disease patients with freezing of gaitEitan E. Asher0Meir Plotnik1Moritz Günther2Shay Moshel3Orr Levy4Shlomo Havlin5Jan W. Kantelhardt6Ronny P. Bartsch7Department of Physics, Bar-Ilan UniversityCenter of Advanced Technologies in Rehabilitation, Sheba Medical CenterDepartment of Physics, Bar-Ilan UniversityNuclear Research Center NegevDepartment of Physics, Bar-Ilan UniversityDepartment of Physics, Bar-Ilan UniversityInstitute of Physics, Martin-Luther-University Halle-WittenbergDepartment of Physics, Bar-Ilan UniversityAsher 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.https://doi.org/10.1038/s42003-021-02544-w
spellingShingle 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
Communications Biology
title 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_short 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
url https://doi.org/10.1038/s42003-021-02544-w
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