基于对EEG信号的动态网络重新配置分析的情绪处理的双时间通路模型
Yan He1, Yuan Liang1, Ling Tong2
1Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 710121, China.
Acta psychologica
|March 15, 2025
概括
大脑网络的重新配置预测了主观的情绪评分. 电脑电图 (EEG) 数据的动态网络分析揭示了积极和消极情绪的独特时间处理,为新的治疗策略提供了信息.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 心理学 心理学 心理学
背景情况:
- 情绪处理依赖于集成的大脑活动.
- 网络重新配置是认知任务的关键.
- 大脑网络如何为不同的情绪重新配置是不清楚的.
研究的目的:
- 在不同的情绪状态下调查大脑网络的重新配置.
- 确定网络动态是否预测主观情绪评级.
- 提出一种处理情绪的时间模型.
主要方法:
- 记录了28名参与者观看8种情感激发视频类别的脑电图 (EEG).
- 应用了使用相锁值 (PLV) 和社区检测的动态网络重新配置分析.
- 量化网络集成和分离指标.
主要成果:
- 动态网络重新配置指标成功预测了主观情绪评级.
- 预测准确度随着EEG段的长度而变化:对于积极的情绪更长,对于负面的情绪更短.
- 确定了支持双重时间通路模型的时空空间模式.
结论:
- 大脑网络的动态是主观情感体验的预测.
- 提出了一种双重时间通路模型:快速的负面情绪,缓慢的积极情绪.
- 研究结果支持针对情绪相关障碍的有针对性的干预措施.
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