Wang Peng, Zhang Xiyang, Ai Xiaowen, Wang Suogang
IEEE Trans Neural Syst Rehabil Eng. 2024;32:2049-2059. doi: 10.1109/TNSRE.2024.3405549. Epub 2024 May 30.
Compared to traditional continuous performance tasks, virtual reality-based continuous performance tests (VR-CPT) offer higher ecological validity. While previous studies have primarily focused on behavioral outcomes in VR-CPT and incorporated various distractors to enhance ecological realism, little attention has been paid to the effects of distractors on EEG. Therefore, our study aimed to investigate the influence of distractors on EEG during VR-CPT. We studied visual distractors and auditory distractors separately, recruiting 68 subjects (M =20.82, SD =1.72) and asking each to complete four tasks. These tasks were categorized into four groups according to the presence or absence of visual and auditory distractors. We conducted paired t-tests on the mean relative power of the five electrodes in the ROI region across different frequency bands. Significant differences were found in theta waves between Group 3 (M =2.49, SD =2.02) and Group 4 (M =2.68, SD =2.39) (p < 0.05); in alpha waves between Group 3 (M =2.08, SD =3.73) and Group 4 (M =3.03, SD =4.60) (p < 0.001); and in beta waves between Group 1 (M = -4.44 , SD =2.29) and Group 2 (M = -5.03 , SD =2.48) (p < 0.001), as well as between Group 3 (M = -4.48 , SD =2.03) and Group 4 (M = -4.67 , SD =2.23) (p < 0.05). The incorporation of distractors in VR-CPT modulates EEG signals across different frequency bands, with visual distractors attenuating theta band activity, auditory distractors enhancing alpha band activity, and both types of distractors reducing beta oscillations following target stimuli. This insight holds significant promise for the rehabilitation of children and adolescents with attention deficits.
与传统的持续性操作任务相比，基于虚拟现实的持续性操作测试（VR-CPT）具有更高的生态效度。虽然先前的研究主要关注VR-CPT中的行为结果，并纳入了各种干扰因素以增强生态现实性，但很少有人关注干扰因素对脑电图（EEG）的影响。因此，我们的研究旨在调查VR-CPT期间干扰因素对EEG的影响。我们分别研究了视觉干扰因素和听觉干扰因素，招募了68名受试者（M = 20.82，SD = 1.72），并要求每人完成四项任务。这些任务根据视觉和听觉干扰因素的有无分为四组。我们对感兴趣区域（ROI）中五个电极在不同频段的平均相对功率进行了配对t检验。在第3组（M = 2.49，SD = 2.02）和第4组（M = 2.68，SD = 2.39）之间的θ波中发现了显著差异（p < 0.05）；在第3组（M = 2.08，SD = 3.73）和第4组（M = 3.03，SD = 4.60）之间的α波中发现了显著差异（p < 0.001）；在第1组（M = -4.44，SD = 2.29）和第2组（M = -5.03，SD = 2.48）之间的β波中发现了显著差异（p < 0.001），以及在第3组（M = -4.48，SD = 2.03）和第4组（M = -4.67，SD = 2.23）之间的β波中发现了显著差异（p < 0.05）。在VR-CPT中加入干扰因素会调节不同频段的EEG信号，视觉干扰因素会减弱θ频段活动，听觉干扰因素会增强α频段活动，并且两种类型的干扰因素都会在目标刺激后减少β振荡。这一见解对患有注意力缺陷的儿童和青少年的康复具有重要意义。
