将人放在背景中:ERP对自然场景中的身体的反应
Ilya Nudnou1, Abigail Post1, Alyson Saville1
1Department of Psychology, Center for Visual and Cognitive Neuroscience, North Dakota State University, Fargo, ND, United States of America.
PloS one
|October 26, 2023
概括
N190对身体的大脑反应因自然现场的复杂性和细节而减少. 晚期的大脑活动,超过300ms,对于在复杂的环境中识别身体方向至关重要.
科学领域:
- 认知神经科学 认知神经科学
- 视觉感知 视觉感知 视觉感知
- 测量大脑活动 测量大脑活动
背景情况:
- N190是一个与事件相关的潜在 (ERP) 组件,对人体感知敏感.
- 自然主义场景包含身体姿势变化,杂乱和多个个体,与受控实验刺激不同.
- 了解N190如何受到这些自然变化的影响,对于生态有效性至关重要.
研究的目的:
- 调查身体外观和场景背景中的自然主义变化如何影响N190组件.
- 检查身体数量,身体细节和背景丰富度对N190振幅,延迟和身体倒置效应 (BIE) 的影响.
- 通过机器学习,识别视觉处理的时间动态,以在自然环境中确定身体定向.
主要方法:
- 进行了两项实验,每人有16名参与者,操纵场景复杂性和身体/背景外观.
- 实验1在自然主义场景中改变了身体的数量 (单个,可分化,人群).
- 实验2操纵身体外观 (轮与详细) 和背景 (清晰与丰富的环境). 使用了N190的基于组件的分析和支持矢量机 (SVM) 解码.
主要成果:
- 在场景中增加尸体数量会降低N190的振幅,但不会改变BIE.
- 自然主义的身体和背景外观显著降低了N190的振幅.
- SVM解码显示,以后的时间点 (后-300ms) 是最有信息的解码身体的方向跨条件.
结论:
- 自然外观的变化显著影响了N190.0索引的早期身体处理.
- N190对自然主义变化的敏感性表明,从简化的刺激中理解身体感知存在局限性.
- 后来的ERP组件在复杂,自然的视觉环境中处理身体方向方面发挥着重要作用.
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