动态大脑连接预测了自然主义电影观看期间的情绪激发
Jin Ke1,2, Hayoung Song1,3, Zihan Bai1,4
1Department of Psychology, Neuroscience Institute, The University of Chicago, Chicago, Illinois, United States of America.
PLoS computational biology
|April 11, 2025
概括
这项研究发现,在使用功能性核磁共振 (MRI) 的个人和环境中,对于情绪激发有一个共同的大脑特征. 然而,对于情绪价值的可概括的大脑表征并未被确定.
科学领域:
- 神经科学是一个神经科学.
- 情感科学是一种情感科学.
- 认知神经科学 认知神经科学
背景情况:
- 人类的情绪被描述为价值和兴奋.
- 大脑对这些维度的表现还没有完全理解.
- 跨个体和背景的概括性尚不清楚.
研究的目的:
- 为了研究大脑对情绪价值和兴奋的表现.
- 确定这些表示是否在个人和环境中共享.
- 从大脑活动中开发情绪体验的预测模型.
主要方法:
- 使用两个功能性MRI (fMRI) 数据集,参与者观看电影.
- 从动态功能性大脑连接中构建了兴奋和价值的预测模型.
- 在数据集内和数据集之间测试模型通用性.
主要成果:
- 确定了情绪兴奋的可概括表征.
- 兴奋表现涉及大规模功能网络之间的相互作用.
- 这种兴奋表现对新数据集进行了概括.
- 没有发现可概括的价值表征.
结论:
- 情绪兴奋在动态功能连接中具有可概括的神经特征.
- 这表明,在各种情况和个体中,激发的共同潜在机制是相同的.
- 这些发现为未来使用fMRI进行情感神经科学研究提供了一个工具.
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