Sub-acute stroke demonstrates altered beta oscillation and connectivity pattern in working memory
We provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery.
Authors
- Liliang Zou
- X. Zhu (ORCID: https://orcid.org/0000-0002-9573-4570)
- Zuobing Chen
- Dazhi Guo (ORCID: https://orcid.org/0000-0002-9910-9625)
- Xianwei Che (ORCID: https://orcid.org/0000-0002-0039-7306)
- Y. X. Zhao (ORCID: https://orcid.org/0000-0002-3084-1033)
- Daming Wang (ORCID: https://orcid.org/0000-0002-1897-2874)
- Shuang Wei (ORCID: https://orcid.org/0000-0002-6250-6926)
- Dongxia Hu
- Juehan Wang (ORCID: https://orcid.org/0000-0002-8026-107X)
- Xiaofeng Yang (ORCID: https://orcid.org/0000-0002-8532-6450)
- Shuyi Pan
- Xiaorui Jiang
- Lin Mao
Institutions
- Nanchang University (CN)
- Chinese PLA General Hospital (CN)
- First People's Hospital of Yuhang District (CN)
- Affiliated Hospital of Hangzhou Normal University (CN)
- Second Affiliated Hospital of Nanchang University (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1186/s12984-024-01516-5
- Citations
- 5
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.71