Williams Nikolas S, King William, Mackellar Geoffrey, Randeniya Roshini, McCormick Alicia, Badcock Nicholas A
School of Psychological Sciences, Macquarie University, Sydney, Australia.
Emotiv Research Pty Ltd, Sydney, Australia.
Heliyon. 2023 Jul 24;9(8):e18433. doi: 10.1016/j.heliyon.2023.e18433. eCollection 2023 Aug.
The development of online research platforms has made data collection more efficient and representative of populations. However, these benefits have not been available for use with cognitive neuroscience tools such as electroencephalography (EEG). In this study, we introduce an approach for remote EEG data collection. We demonstrate how an experiment can be built via the EmotivPRO Builder and deployed to the EmotivLABS website where it can be completed by participants who own EMOTIV EEG headsets. To demonstrate the data collection technique, we collected EEG while participants engaged in a resting state task where participants sat with their eyes open and then eyes closed for 2 min each. We observed a significant difference in alpha power between the two conditions thereby demonstrating the well-known alpha suppression effect. Thus, we demonstrate that EEG data collection, particularly for frequency domain analysis, can be successfully conducted online.
在线研究平台的发展使数据收集更高效且更能代表总体人群。然而,这些益处尚未应用于诸如脑电图(EEG)等认知神经科学工具。在本研究中,我们介绍一种远程EEG数据收集方法。我们展示了如何通过EmotivPRO Builder构建一个实验,并将其部署到EmotivLABS网站,拥有EMOTIV EEG头戴设备的参与者可以在该网站上完成实验。为了演示数据收集技术,我们在参与者进行静息状态任务时收集EEG数据,参与者先睁眼坐2分钟,然后闭眼坐2分钟。我们观察到两种状态下的阿尔法波功率存在显著差异,从而证明了著名的阿尔法波抑制效应。因此,我们证明了EEG数据收集,特别是对于频域分析,可以成功地在线进行。