Wang Qing, Meng Lin, Pang Jun, Zhu Xiaodong, Ming Dong
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Front Aging Neurosci. 2020 Nov 10;12:587396. doi: 10.3389/fnagi.2020.587396. eCollection 2020.
Recent research regards the electroencephalogram (EEG) as a promising method to study real-time brain dynamic changes in patients with Parkinson's disease (PD), but a deeper understanding is needed to discern coincident pathophysiology, patterns of changes, and diagnosis. This review summarized recent research on EEG characterization related to the cognitive and motor functions in PD patients and discussed its potential to be used as diagnostic biomarkers. Thirty papers out of 220 published from 2010 to 2020 were reviewed. Movement abnormalities and cognitive decline are related to changes in EEG spectrum and event-related potentials (ERPs) during typical oddball paradigms and/or combined motor tasks. Abnormalities in β and δ frequency bands are, respectively the main manifestation of dyskinesia and cognitive decline in PD. The review showed that PD patients have noteworthy changes in specific EEG characterizations, however, the underlying mechanism of the interrelation between gait and cognitive is still unclear. Understanding the specific nature of the relationship is essential for development of novel invasive clinical diagnostic and therapeutic methods.
最近的研究认为，脑电图（EEG）是研究帕金森病（PD）患者实时脑动态变化的一种有前景的方法，但需要更深入的理解来辨别相关的病理生理学、变化模式和诊断方法。这篇综述总结了近期关于PD患者认知和运动功能相关的脑电图特征的研究，并讨论了其作为诊断生物标志物的潜力。对2010年至2020年发表的220篇论文中的30篇进行了综述。运动异常和认知衰退与典型的oddball范式和/或联合运动任务期间脑电图频谱和事件相关电位（ERP）的变化有关。β和δ频段的异常分别是PD患者运动障碍和认知衰退的主要表现。该综述表明，PD患者在特定脑电图特征方面有值得注意的变化，然而，步态与认知之间相互关系的潜在机制仍不清楚。了解这种关系的具体性质对于开发新的侵入性临床诊断和治疗方法至关重要。
