真正面孔的时空处理被视觉感知所修改.
Megan Kelley1, Mark Tiede2, Xian Zhang2
1Interdepartmental Neuroscience Program, Yale Graduate School of Arts and Sciences, New Haven 06511, CT, USA; Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 902, New Haven, CT, USA.
NeuroImage
|April 19, 2025
概括
在现场面对面互动期间的神经活动是由视觉特征调节的. 功能近红外光谱 (fNIRS) 和电脑电图 (EEG) 揭示了与凝视行为相关的独特的大脑区域和振荡模式.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 人与计算机的交互
背景情况:
- 活着的人脸引起独特的神经反应,但潜在的机制仍然不清楚.
- 了解面部处理对于从社会认知到人机交互等领域至关重要.
研究的目的:
- 为了研究现场面对面互动的神经相关性.
- 确定面部的空间和时间特征以及视觉感知参数如何调节神经活动.
- 探索横向和背部视觉流在处理活人和机器人面部中的作用.
主要方法:
- 使用功能近红外光谱学 (fNIRS) 与脑电图 (EEG) 和眼睛跟踪同时获取血动信号.
- 对活着的人和机器人的面孔的互动视线分析.
- 用眼睛凝视变量 (固定时间,停留时间) 和标准化低分辨率脑电磁断层扫描 (sLORETA) 进行fNIRS信号的回归分析.
主要成果:
- 在fNIRS信号回归中,在右上边缘环 (侧边视觉流) 和右下侧角 (背面视觉流) 中发现了明显的神经相关物.
- 脑电图分析显示了这些区域内和α振荡模式的变化.
- 在面对面视觉刺激期间,在背部与侧面区域相比,观察到空间结合的增加.
结论:
- 活面部的神经处理涉及明显的侧向和背部视觉流区域.
- 眼睛凝视变量显著调节与面部感知相关的神经活动.
- 振荡活动模式为面对面交互期间的空间结合机制提供了洞察力.
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