自恋和反社会人格特征都被编码在三重网络中:Connectomics证据证据
Khanitin Jornkokgoud1,2, Richard Bakiaj2, Peera Wongupparaj3
1Department of Research and Applied Psychology, Faculty of Education, Burapha University, Chon Buri, Thailand.
Psychophysiology
|August 12, 2025
概括
自恋和反社会特征在三重网络中共享神经支,涉及默认模式 (DMN),突出 (SN) 和前端-双层 (FPN) 网络. 在DMN的差异突出了这些个性特征之间的明显的自我反射模式.
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:
- 对自恋和反社会特征的神经基础进行了辩论.
- 了解它们的共同和独特的神经基质至关重要.
研究的目的:
- 在三重网络中调查自恋和反社会特征的神经编码.
- 确定这些特征背后的共享和独特的网络机制.
主要方法:
- 基于Connectome的分析使用了183名参与者的休息状态fMRI数据.
- 检查了默认模式 (DMN),突出 (SN) 和前端-平行 (FPN) 网络中的图形理论指标.
- 用一步复数回归和随机森林回归来进行预测建模.
主要成果:
- 这两种特征都涉及三重网络,表明共享的神经基质.
- 在SN的前带皮质活动减少和FPN的侧面前额皮质活动增加与这两种特征有关.
- 特定的DMN枢纽显示了差异性关联,与自恋有关,但与反社会特征相反.
结论:
- 三重网络在自恋和反社会特征中起着重要作用,具有共同和独特的神经机制.
- 调查结果可以为人格病理学的生物标志物开发提供信息,并指导干预.
关键词:
默认模式网络模式 默认模式网络模式前端-平面网络的前端-平面网络基于图形的理论理论.自恋自恋主义 自恋自恋 自恋自恋 自恋自恋 自恋自恋 自恋自恋 自恋自恋 自恋自恋 自恋自恋突出网络突出网络突出网络更多相关视频
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