Brain connectivity evaluation during selective attention using EEG-based brain-computer interface
Brain connectivity evaluation during selective attention using EEG-based brain-computer interface
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DOI：
10.1080/2326263x.2019.1651186
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发表时间：
2019-01-01
影响因子：
2.1
通讯作者：
Zhao, Xiaopeng
中科院分区：
文献类型：
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作者：
Borhani, Soheil;Abiri, Reza;Zhao, Xiaopeng
注意缺陷可由神经系统疾病引起，包括注意缺陷多动障碍（ADHD）、阿尔茨海默病（AD）、创伤性脑损伤（TBI）等。本研究旨在利用基于脑电（EEG）的脑-机接口评估面孔和场景视觉刺激下的选择性注意，实验分为两个阶段：1）图像识别和2）注意评估。在第一阶段，平均反应时间为547毫秒对633毫秒的面孔和场景，分别。在第二阶段，平均反应时间分别为667 ms和706 ms的脸和场景类别。我们使用基于格兰杰因果关系的脑连接分析了面孔和场景的事件相关时频表征以及物体识别和与类别选择相关的运动反应之间的因果关系。所开发的实验协议和连接性评估方法可以为更好地理解对象识别和类别选择的神经过程提供见解。
Attentional deficits may be caused by neurological diseases, including Attention-Deficit/Hyperactivity Disorder (ADHD), Alzheimer's disease (AD), Traumatic Brain Injuries (TBI), etc. This work aims to evaluate selective attention under visual stimulations of faces and scenes using electroencephalogram (EEG)-based brain-computer interface.The experiment consisted of two phases: 1) image recognition and 2) attention evaluation. In phase 1, the mean response time was 547 ms vs. 633 ms to faces and scenes, respectively. In phase 2, the mean response time was 667 ms vs. 706 ms to face and scene categories, respectively. We analyzed the event-related time-frequency representation of faces and scenes and the causal relationship between object recognition and the motor response associated with category selection using the brain connectivity based on Granger causality. The developed experimental protocols and connectivity evaluation methods may provide insights for a better understanding of the neural processes for object recognition and category selection.