任务功能网络预测了情感面部歧视速度的个体差异
Toluwani Joan Amos1, Bishal Guragai1, Qianru Rao1
1MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China.
NeuroImage
|June 30, 2024
概括
个人处理负面情绪的差异,如恐惧和愤怒,可以使用大脑连接来预测. 这项研究揭示了成人和青少年在情绪分辨速度方面的独特大脑网络模式.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 脑部成像 脑部成像
背景情况:
- 负面情绪显著影响信息处理.
- 处理负面情绪的个体差异,特别是使用客观指标,如响应时间 (RT),是研究不足的.
- 了解情绪处理中的大脑行为关系至关重要.
研究的目的:
- 预测个体差异的速度负面面部情绪的歧视从整个大脑的功能连接.
- 在成人和青少年中识别不同的大脑网络贡献.
- 调查跨数据集的预测模型的概括性.
主要方法:
- 使用了连接组预测建模 (CPM) 框架.
- 分析了来自人类连接组项目-年轻人 (HCP-YA) 和波士顿青少年抑郁和焦虑神经成像 (BANDA) 数据集的数据.
- 在面部识别任务中检查了全脑功能连接.
主要成果:
- 在健康的成人和青少年数据集中成功预测了负面情绪歧视速度的个体差异.
- 确定了不同的大脑网络贡献:成年人中的运动,视觉关联,突出和中间额头网络;青少年中的小脑-额头对面网络相互作用.
- 发现预测模型在数据集中没有泛化,表明了样本特定的模式.
结论:
- 情感面部歧视速度的个体差异可以从健康成年人和青少年的功能连接中预测.
- 大脑网络对情绪处理速度的贡献在成人和青少年之间有所不同.
- 需要进一步的研究来开发更多可通用的情绪处理预测模型.
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