Neural Indexes of Attention Extracted from EEG Correlate with Elderly Reaction Time in response to an Attentional Task

Fatemeh Fahimi, Wooi-Boon Goh, Tih-Shih Lee, Cuntai Guan
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引用次数: 1

Abstract

In the present paper, we analyze electroencephalogram (EEG) signals recorded by a single frontal channel from 105 elderly subjects while they were responding to an attention-demanded task (Stroop color test). The first objective is to discover how post-cue frequency band oscillations of EEG, as neural index of attention, are correlated with elderly response time (RT), as behavioral index of attention. Furthermore, we aim to detect the most informative period of brain activity (EEG) in which the strongest correlations with reaction time exist. Our results show that 1) there is significant negative correlation between alpha gamma ratio (AGR) and response time (p<0.0001), 2) theta beta ratio (TBR) is positively correlated with subjects' response time (p<0.0001) and 3) these correlations are stronger in a 500ms period right after triggering the cue (question onset in Stroop test). Our study provides an insight into the research on analysis and prediction of subject behavior from EEG. Moreover, it has potential to be used in implementation of feasible and efficient single channel EEG-based brain computer interface (BCI) training systems for elderly.
脑电注意神经指标与老年人注意任务反应时间的相关性研究
在本文中,我们分析了105名老年人在对注意力要求任务(Stroop颜色测试)作出反应时单额叶通道记录的脑电图信号。第一个目的是发现作为注意力神经指标的脑电图提示后频带振荡与作为注意力行为指标的老年人反应时间之间的关系。此外,我们的目标是检测与反应时间存在最强相关性的最具信息量的脑活动(EEG)时期。结果表明:1)α - γ比(AGR)与反应时间呈显著负相关(p<0.0001), 2) α - β比(TBR)与被试反应时间呈正相关(p<0.0001), 3)这些相关性在触发提示(Stroop测试的问题开始)后500ms内更强。本研究为EEG对被试行为的分析与预测研究提供了新的思路。此外,它还具有实现可行、高效的基于脑电图的老年人脑机接口(BCI)单通道训练系统的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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