Cross-Task Consistency of Electroencephalography-Based Mental Workload Indicators: Comparisons Between Power Spectral Density and Task-Irrelevant Auditory Event-Related Potentials.
Cross-Task Consistency of Electroencephalography-Based Mental Workload Indicators: Comparisons Between Power Spectral Density and Task-Irrelevant Auditory Event-Related Potentials.
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基于脑电图的心理工作负荷指标的跨任务一致性：功率谱密度与任务无关的听觉事件相关电位之间的比较。
DOI：
10.3389/fnins.2021.703139
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发表时间：
2021
影响因子：
4.3
通讯作者：
Ming D
中科院分区：
文献类型：
--
作者：
Ke Y;Jiang T;Liu S;Cao Y;Jiao X;Jiang J;Ming D
基于持续脑电（EEG）和事件相关电位（ERPs）的心理负荷（MWL）估计方法通过真实的实时估计MWL，在构建人机系统的自适应辅助系统方面显示出巨大的潜力。然而，提取在不同任务中一致指示MWL的EEG特征仍然是关键挑战之一。本研究试图比较两种常用的基于脑电的MWL指标，持续脑电功率谱密度（PSD）和任务无关听觉ERP（tir-aERPs）之间的跨任务一致性指标MWL变化。实验采用了两种难度水平的言语N-back和多属性任务成套测验（MATB），沿着任务无关的听觉探针。记录了17名受试者执行任务时的EEG。提取听觉探针诱发的tir-aERPs和连续两次听觉探针诱发的持续EEG的相对PSD，并进行统计分析，以揭示MWL和任务类型的影响。判别分析和支持向量机被用来研究tir-aERP和PSD特征在不同任务中对MWL变化的索引。结果表明，在N-back和MATB中，tir-aERP的N1、早P3 a、晚P3 a和重定向负波的振幅均随MWL的增加而显著降低。任务类型对MWL敏感的tir-aERP特征的幅值和拓扑结构无明显影响。θ、α和低β带的相对PSD对MWL的变化也很敏感。然而，MWL敏感的PSD功能和它们的拓扑模式显着影响任务类型。基于tir-aERP特征的跨任务分类结果也显著优于PSD特征。这些结果表明，tir-aERPs应该是潜在的更一致的MWL指标在非常不同的任务类型相比，PSD。目前的研究可能会提供新的见解，我们的理解共同的和独特的神经心理本质的MWL在不同的任务。
Mental workload (MWL) estimators based on ongoing electroencephalography (EEG) and event-related potentials (ERPs) have shown great potentials to build adaptive aiding systems for human–machine systems by estimating MWL in real time. However, extracting EEG features which are consistent in indicating MWL across different tasks is still one of the critical challenges. This study attempts to compare the cross-task consistency in indexing MWL variations between two commonly used EEG-based MWL indicators, power spectral density (PSD) of ongoing EEG and task-irrelevant auditory ERPs (tir-aERPs). The verbal N-back and the multi-attribute task battery (MATB), both with two difficulty levels, were employed in the experiment, along with task-irrelevant auditory probes. EEG was recorded from 17 subjects when they were performing the tasks. The tir-aERPs elicited by the auditory probes and the relative PSDs of ongoing EEG between two consecutive auditory probes were extracted and statistically analyzed to reveal the effects of MWL and task type. Discriminant analysis and support vector machine were employed to examine the generalization of tir-aERP and PSD features in indexing MWL variations across different tasks. The results showed that the amplitudes of tir-aERP components, N1, early P3a, late P3a, and the reorienting negativity, significantly decreased with the increasing MWL in both N-back and MATB. Task type had no obvious influence on the amplitudes and topological layout of the MWL-sensitive tir-aERP features. The relative PSDs in θ, α, and low β bands were also sensitive to MWL variations. However, the MWL-sensitive PSD features and their topological patterns were significantly affected by task type. The cross-task classification results based on tir-aERP features also significantly outperformed the PSD features. These results suggest that the tir-aERPs should be potentially more consistent MWL indicators across very different task types when compared to PSD. The current study may provide new insights to our understanding of the common and distinctive neuropsychological essences of MWL across different tasks.
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影响因子：
4.3
作者：
Casson AJ
通讯作者：
Casson AJ
影响因子：
4
作者：
Brouwer, Anne-Marie;Hogervorst, Maarten A.;Oostenveld, Robert
通讯作者：
Oostenveld, Robert
影响因子：
5.3
作者：
Bacigalupo, Felix;Luck, Steven J.
通讯作者：
Luck, Steven J.
影响因子：
3.9
作者：
Dehais, Frederic;Dupres, Alban;Lotte, Fabien
通讯作者：
Lotte, Fabien
DOI：
10.1109/tnsre.2017.2701002
发表时间：
2017-11-01
影响因子：
4.9
作者：
Dimitrakopoulos, Georgios N.;Kakkos, Ioannis;Sun, Yu
通讯作者：
Sun, Yu