基于Connectome的建模揭示了一个静止状态的功能网络,它调解了社会拒绝和反之间的关系
Li Geng1,2, Qiuyang Feng1,2, Xueyang Wang1,2
1Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China.
社会拒绝通过改变大脑网络连接来增加反. 关键的大脑区域,如上边缘环,参与其中,为新的干预提供了目标.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 认知科学 认知科学
背景情况:
- 化是精神疾病的重要因素,并阻碍了解决问题的能力.
- 社会拒绝对反的影响及其神经支需要进一步研究.
研究的目的:
- 检查社会拒绝如何影响反.
- 探索连接社会拒绝和反的神经机制.
主要方法:
- 利用了560个人的心理问卷和休息状态功能连接数据.
- 采用基于连接组的预测建模来构建一个反得分预测模型.
- 进行调解分析以评估预测网络的作用.
主要成果:
- 发现社会拒绝和反之间存在积极的相关性.
- 确定了默认模式网络 (DMN),背部注意网络 (DAN),前端对象控制网络 (FPCN) 和传感运动网络 (SMN) 中的内部和互联网连接的重要贡献.
- 突出了超边缘环 (SMG) 和角环 (AG) 作为关键节点,预测网络调解了社会拒绝-反联系.
结论:
- DMN,DAN,FPCN和SMN之间的功能联系对于将社会拒绝与反联系起来至关重要.
- SMG和AG是参与这个过程的关键大脑区域.
- 结果为开发针对反动物的干预措施提供了洞察力.
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