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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Mao, Lin Che, Xianwei Wang, Juehan Jiang, Xiaorui Zhao, Yifan Zou, Liliang Wei, Shuang Pan, Shuyi Guo, Dazhi Zhu, Xueqiong Hu, Dongxia Yang, Xiaofeng Chen, Zuobing Wang, Daming |
| Abstract | Introduction Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke. Methods This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis. Results Patients of poor recovery are characterised by a loss of significant beta rebound, beta-band connectivity, as well as impaired working memory speed and performances. Meanwhile, patients with good recovery have preserved these capacities to some extent. Our data further identified beta rebound to be closely associated with working memory speed and performances. Conclusions 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. |
| Related Links | https://jneuroengrehab.biomedcentral.com/counter/pdf/10.1186/s12984-024-01516-5.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17430003 |
| DOI | 10.1186/s12984-024-01516-5 |
| Journal | Journal of NeuroEngineering and Rehabilitation |
| Issue Number | 1 |
| Volume Number | 21 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-12-04 |
| Access Restriction | Open |
| Subject Keyword | Neurosciences Neurology Rehabilitation Medicine Biomedical Engineering and Bioengineering Stroke Working memory Prognosis EEG Oscillations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Informatics Rehabilitation |
| Journal Impact Factor | 5.2/2023 |
| 5-Year Journal Impact Factor | 5.6/2023 |
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