Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates

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Publication Details

Journal
Neurobiology of Disease
Published
2025-04-22
DOI
https://doi.org/10.1016/j.nbd.2025.106915
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
5.72
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article

Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates

Xiaodong Zhu, Dong Ming, Hong-Bo Zhao, Jun Ma et al.
4 citations
Neurobiology of Disease
EEG and Brain-Computer Interfaces
5.72
article

Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates

Xiaodong Zhu, Dong Ming, Hong-Bo Zhao, Jun Ma, Lin Meng, Yanlin Wang, Deyu Wang, Qingqing Shi, Yu Shi
article en
4 citations

Abstract

No abstract available for this paper.
Neurobiology of DiseaseVol. 210
Tianjin University of Sport (CN), Tianjin Medical University General Hospital (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 4%
EEG and Brain-Computer Interfaces
5.72
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