一个统一的人类多式联络数据集,用于情感感知和判断
Sai Sun1,2, Runnan Cao3, Ueli Rutishauser4
1Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, 980-8578, Japan. sun.sai.e2@tohoku.ac.jp.
Scientific data
|November 7, 2023
概括
这项研究引入了一个全面的多式联络数据集,以了解面部情感感知. 整合各种数据类型,如EEG,fMRI和眼睛跟踪,揭示了对社会认知的关键见解.
科学领域:
- 认知神经科学 认知神经科学
- 社会心理学 社会心理学
- 神经成像是一种神经成像.
背景情况:
- 面部感知对于社会互动至关重要.
- 以前的研究经常使用单一的模式,限制了整体的理解.
- 在面部感知研究中存在综合多式联络数据的需求.
研究的目的:
- 呈现一个全面的多式联络数据集,用于面部情感感知和判断.
- 为了促进研究不同神经科学方法的面部感知.
- 为了弥合人类神经成像和神经生理学文献之间的差距.
主要方法:
- 从97名参与者收集了脑电图 (EEG) 数据.
- 获得了来自19名参与者的功能磁共振成像 (fMRI) 数据.
- 从神经外科患者,神经类型个体和患者组收集单个神经元,眼睛跟踪和行为数据,包括自闭症谱系障碍 (ASD) 和杏仁体病变患者.
主要成果:
- 该数据集包括各种神经科学模式 (EEG,fMRI,单个神经元,眼睛跟踪,行为).
- 所有参与者都完成了一项标准化的面部情绪感知任务.
- 这些数据使面部情绪处理的交叉模式分析成为可能.
结论:
- 这一多式联络数据集为研究面部情感感知提供了一种整体方法.
- 它强调了整合各种数据流的重要性,以获得全面的理解.
- 该数据集对于对神经精神病患者群体和基本认知过程的研究有价值.
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