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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2021-08-01
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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. |
first_indexed | 2024-12-17T21:05:46Z |
format | Article |
id | doaj.art-11d178daf15649e8ace071528befbe93 |
institution | Directory Open Access Journal |
issn | 2399-3642 |
language | English |
last_indexed | 2024-12-17T21:05:46Z |
publishDate | 2021-08-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Biology |
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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