School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China.
School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China; Hefei Innovation Research Institute, Beihang University, China.
Behav Brain Res. 2019 Dec 30;376:111859. doi: 10.1016/j.bbr.2019.03.028. Epub 2019 Mar 18.
Attention plays an important role in perception and cognition, and developing an effective method to train and improve attention is an essential and challenging task. In this study, fingertip-based adaptive force control tasks (AFCT) were explored for attention training, and the visual-channel task called an attention network test (ANT) was used to measure the level of attention before and after AFCT. The purposes of this study were to investigate whether AFCT can enhance the attention level on the ANT task and to elucidate the underlying electrophysiological mechanisms. The results showed that the efficiency of the executive control network during ANT was significantly improved by the AFCT training, indicating that the AFCT training may enhance the executive attention level during visual-channel tasks. To measure the behavioural performance during the AFCT training, we used tolerance, variance and duration of the forces to design a comprehensive score of behavioural performance (CSBP), and the electrophysiological mechanisms were also explored using electroencephalography (EEG) recordings. The AFCT and ANT results showed consistency in medial frontal theta activity and in connectivity strength at frontal-parietal regions in the alpha band. These results indicated that the observed attention improvement across tasks executed using different sensory channels may be due to the training of overlapping components of the relevant attention networks. Thus, this study provides further insight into the design of training tasks that stimulate multi-sensory channels, which can be used to improve attention and treat various attention deficit disorders.
注意在感知和认知中起着重要作用，开发一种有效的训练和提高注意力的方法是一项重要且具有挑战性的任务。在这项研究中，探索了基于指尖的自适应力控制任务（AFCT）用于注意力训练，并使用称为注意力网络测试（ANT）的视觉通道任务来测量 AFCT 前后的注意力水平。本研究的目的是探讨 AFCT 是否可以提高 ANT 任务的注意力水平，并阐明其潜在的电生理机制。结果表明，AFCT 训练显著提高了 ANT 任务中执行控制网络的效率，这表明 AFCT 训练可能会提高视觉通道任务中的执行注意力水平。为了衡量 AFCT 训练期间的行为表现，我们使用力的公差、方差和持续时间设计了行为表现综合评分（CSBP），并使用脑电图（EEG）记录探索了电生理机制。AFCT 和 ANT 结果显示额中线θ活动和额顶区域在α频段的连接强度一致。这些结果表明，在使用不同感觉通道执行的任务中观察到的注意力提高可能是由于相关注意力网络的重叠成分的训练所致。因此，这项研究为设计刺激多感觉通道的训练任务提供了进一步的见解，这些任务可用于提高注意力和治疗各种注意力缺陷障碍。
