1. Sub-acute stroke demonstrates altered beta oscillation and connectivity pattern in working memory
- Author
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Lin Mao, Xianwei Che, Juehan Wang, Xiaorui Jiang, Yifan Zhao, Liliang Zou, Shuang Wei, Shuyi Pan, Dazhi Guo, Xueqiong Zhu, Dongxia Hu, Xiaofeng Yang, Zuobing Chen, and Daming Wang
- Subjects
Stroke ,Working memory ,Prognosis ,EEG ,Oscillations ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
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.
- Published
- 2024
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