Zeng Lanting, Guo Mingrou, Wu Ruoling, Luo Yu, Wei Pengfei
Shenzhen Key Laboratory of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen, China.
Department of Bioengineering, Imperial College London, London, United Kingdom.
Front Aging Neurosci. 2022 Mar 10;14:828377. doi: 10.3389/fnagi.2022.828377. eCollection 2022.
Transcranial alternating current stimulation (tACS) can influence cognitive functions by modulating brain oscillations. However, results regarding the effectiveness of tACS in regulating cognitive performance have been inconsistent. In the present study, we aimed to find electroencephalogram (EEG) characteristics associated with the improvements in working memory performance, to select tACS stimulus targets and frequency based on this feature, and to explore effects of selected stimulus on verbal working memory. To achieve this goal, we first investigated the EEG characteristics associated with improvements in working memory performance with the aid of EEG analyses and machine learning techniques. These analyses suggested that 8 Hz activity in the prefrontal region was related to accuracy in the verbal working memory task. The tACS stimulus target and pattern were then selected based on the EEG feature. Finally, the selected tACS frequency (8 Hz tACS in the prefrontal region) was applied to modulate working memory. Such modulation resulted significantly greater improvements, compared with 40 Hz and sham modulations (especially for participants with weak verbal working memory). In conclusion, using EEG features related to positive behavioral changes to select brain regions and stimulation patterns for tACS is an effective intervention for improving working memory. Our results contribute to the groundwork for future tACS closed-loop interventions for cognitive deterioration.
经颅交流电刺激(tACS)可通过调节脑振荡来影响认知功能。然而,关于tACS调节认知表现有效性的研究结果并不一致。在本研究中,我们旨在找出与工作记忆表现改善相关的脑电图(EEG)特征,基于此特征选择tACS刺激靶点和频率,并探究所选刺激对言语工作记忆的影响。为实现这一目标,我们首先借助EEG分析和机器学习技术研究了与工作记忆表现改善相关的EEG特征。这些分析表明,前额叶区域的8赫兹活动与言语工作记忆任务的准确性相关。然后根据EEG特征选择tACS刺激靶点和模式。最后,应用所选的tACS频率(前额叶区域的8赫兹tACS)来调节工作记忆。与40赫兹及假刺激调节相比,这种调节带来了显著更大的改善(尤其是对于言语工作记忆较弱的参与者)。总之,利用与积极行为变化相关的EEG特征来选择tACS的脑区和刺激模式是改善工作记忆的有效干预措施。我们的研究结果为未来针对认知衰退的tACS闭环干预奠定了基础。