基于杏仁体的模式分类不能预测个体对情绪刺激的反应
Tim Varkevisser1,2,3, Elbert Geuze1,2, Max A van den Boom4,5
1University Medical Center, Utrecht, The Netherlands.
Human brain mapping
|June 23, 2023
概括
功能磁共振成像 (fMRI) 显示,虽然杏仁体对情绪刺激显示了群体效应,但在个人层面上,多声元模式分析 (MVPA) 表明分布式大脑模式是解码情绪价值的关键.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
背景情况:
- 功能磁共振成像 (fMRI) 研究通常报告显著的组级杏仁体激活响应情绪刺激.
- 这些发现对使用多声元模式分析 (MVPA) 的个体参与者进行概括的程度尚不清楚.
- 了解个体级大脑活动模式对于神经反等有针对性的干预措施至关重要.
研究的目的:
- 调查使用MVPA解码的情感价值值是否可靠在个体参与者层面.
- 为了比较仅桃体对整个大脑分析的疗效来解码情绪价值.
- 为了确定大脑活动模式的空间分布,编码情感信息.
主要方法:
- 结合了两项先前研究中的112名参与者的fMRI数据.
- 采用线性支向量机器 (SVM) 来解码情感图像的价值 (负,中性,正).
- 进行了专注于杏仁体的兴趣区域分析和全脑探索性分析.
主要成果:
- 基于杏仁体的MVPA仅在4.5%的参与者中产生了统计学上显著的价值解码 (平均准确率:37%±5%).
- 在50.9%的参与者中,全脑MVPA实现了统计学上显著的解码 (平均准确率:49%±6%).
- 单个参与者的解码精度与全脑分析相比,与仅桃体分析相比,全脑分析显著更高.
结论:
- 情感图片价值被空间分布的大脑活动模式编码,而不仅仅是杏仁体.
- 全脑MVPA比桃体集中分析更有效,用于个人层面解码情绪价值.
- 这些发现对情绪调节研究和利用实时fMRI神经反针对杏仁体的治疗有意义.
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