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EEG Correlates of Sustained Attention Variability during Discrete Multi-finger Force Control Tasks
IEEE Transactions on Haptics ( IF 2.9 ) Pub Date : 2021-02-01 , DOI: 10.1109/toh.2021.3055842
Cong Peng , Weiwei Peng , Wanwei Feng , Yuru Zhang , Jing Xiao , Dangxiao Wang

The neurophysiological characteristics of sustained attention states are unclear in discrete multi-finger force control tasks. In this article, we developed an immersive visuo-haptic task for conducting stimulus-response measurements. Visual cues were randomly provided to signify the required amplitude and tolerance of fingertip force. Participants were required to respond to the visual cues by pressing force transducers using their fingertips. Response time variation was taken as a behavioral measure of sustained attention states during the task. 50% low-variability trials were classified as the optimal state and the other high-variability trials were classified as the suboptimal state using z-scoring over time. A 64-channel electroencephalogram (EEG) acquisition system was used to collect brain activities during the tasks. The haptics-elicited potential amplitude at 20 ∼ 40 ms in latency and over the frontal-central region significantly decreased in the optimal state. Furthermore, the alpha-band power in the spectra of 8 ∼ 13 Hz was significantly suppressed in the frontal-central, right temporal, and parietal regions in the optimal state. Taken together, we have identified neuroelectrophysiological features that were associated with sustained attention during multi-finger force control tasks, which would be potentially used in the development of closed-loop attention detection and training systems exploiting haptic interaction.

中文翻译:

离散多指力控制任务期间持续注意可变性的 EEG 相关性

在离散多指力控制任务中,持续注意状态的神经生理特征尚不清楚。在本文中,我们开发了一种用于进行刺激反应测量的沉浸式视觉触觉任务。随机提供视觉提示以表示指尖力所需的幅度和容差。参与者被要求通过用指尖按压压力传感器来对视觉线索做出反应。响应时间变化被视为任务期间持续注意状态的行为测量。50% 的低变异试验被归类为最佳状态,而其他高变异试验被归类为随时间推移使用 z 评分的次优状态。使用 64 通道脑电图 (EEG) 采集系统来收集任务期间的大脑活动。在最佳状态下,潜伏期 20 ~ 40 ms 和额中央区域的触觉引起的电位幅度显着降低。此外,在最佳状态下,8 ∼ 13 Hz 光谱中的 α 波段功率在额中央、右颞和顶叶区域受到显着抑制。总之,我们已经确定了与多指力控制任务期间持续注意力相关的神经电生理特征,这可能用于开发利用触觉交互的闭环注意力检测和训练系统。右颞区和顶叶区处于最佳状态。总之,我们已经确定了与多指力控制任务期间持续注意力相关的神经电生理特征,这些特征可能用于开发利用触觉交互的闭环注意力检测和训练系统。右颞区和顶叶区处于最佳状态。总之,我们已经确定了与多指力控制任务期间持续注意力相关的神经电生理特征,这可能用于开发利用触觉交互的闭环注意力检测和训练系统。
更新日期:2021-02-01
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