相关实验视频
Updated: May 3, 2026

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fMRI Validation of fNIRS Measurements During a Naturalistic Task
Published on: June 15, 2015
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使用fNIRS进行自然对话的数据集
Yinying Hu1, Yuqi Liu2, Yuting Hou3
1School of Psychology, Shanghai Normal University, Shanghai, China. huyinying@shnu.edu.cn.
Scientific data
|August 26, 2025
概括
这项研究收集了"肥胖谈话"的脑部数据, 这一数据集提供了关于人际交互过程中的自我客观化和情感反应的见解.
科学领域:
- 神经科学
- 心理学
- 认知科学
背景情况:
- 自我客观化, 由外表的担忧驱动, 增加身体监视和不满.
- 关于身体的负面谈话是自我客观化的常见触发因素,特别是在女性中.
- 对于自然主义的"肥胖谈话"场景, 公共大脑信号数据集的稀缺性存在.
研究的目的:
- 收集并提供"肥胖谈话"和"非肥胖谈话"对话中的新数据集.
- 通过以外表为中心的对话来调查自我客观化的神经相关性.
- 促进在人际交往中对情感和认知调节的研究.
主要方法:
- 收集了31名女性参与者的功能近红外光谱 (fNIRS) 数据.
- 使用40通道的便携式fNIRS设备, 专注于额头和头顶大脑区域.
- 在"肥胖谈话"和控制对话 (例如旅行,家居装饰) 中记录神经活动.
主要成果:
- fNIRS数据和主观报告显示"肥胖谈话"期间的身体监控和不满程度增加.
- 这些发现表明在这些对话中自我客观化状态的可测量激活.
- 该数据集可以在自然对话中探索fNIRS数据处理.
结论:
- 这一数据集为研究自我客观化及其认知情感影响提供了有价值的神经影像数据.
- 它是分析人际沟通和自我调节过程中的大脑活动的资源.
- 未来的研究可以利用这一数据集来理解身体形象和社会互动背后的神经机制.
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