稳定的个人差异与动态的功能模式:大脑网络的灵活性预测开放性/智力,智力和精神病症
Tyler A Sassenberg1, Adam Safron2,3,4,5, Colin G DeYoung1
1Department of Psychology, University of Minnesota, 75 East River Parkway, Minneapolis, MN 55455, United States.
大脑网络的灵活性与人格特征有关. 更高的智力与大脑网络中的凝聚性灵活性相关,而开放性与较小网络中的灵活性有关.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 网络神经科学 网络神经科学
背景情况:
- 了解大脑功能需要分析大规模的大脑网络.
- 网络神经科学能够将网络分解为功能社区,并测量它们的动态重新配置.
- 大脑网络的灵活性与复杂的认知特征,如创造力和工作记忆有关.
研究的目的:
- 研究动态功能连接和人格特征之间的关联.
- 测试大脑网络中的灵活性与开放性/智力,一般智力和精神病症的关系.
主要方法:
- 利用了动态静止状态功能连接性措施.
- 采用了机器学习交叉验证方法.
- 分析了来自人类结合体项目的数据 (n=994).
主要成果:
- 在大皮层社区中,与凝聚性灵活性相关的智力.
- 精神病症与不连接的灵活性有关.
- 开放性/智力与较小社区的整体灵活性相关.
结论:
- 这些发现支持了关于人格特征神经相关的理论.
- 扩大了对动态功能连接的行为关联的理解.
- 突出了大脑网络灵活性在广泛的人格维度中的作用.
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