大脑网络之间的动态切换预测了创造力
Qunlin Chen1,2, Yoed N Kenett3, Zaixu Cui4
1Faculty of Psychology, Southwest University, Chongqing, China.
Communications biology
|January 14, 2025
概括
创造力依赖于平衡自发思维和认知控制,与默认模式网络 (DMN) 和执行控制网络 (ECN) 之间的切换有关. 最佳的创造力需要这些大脑网络之间的平衡动态.
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:
- 创造力往往与自发思维和认知控制之间的平衡有关.
- 假设这种平衡反映在默认模式网络 (DMN) 和执行控制网络 (ECN) 之间的功能连接中.
研究的目的:
- 研究创意与DMN与ECN之间的动态切换之间的关系.
- 检查DMN-ECN切换的平衡是否预测了创意表现.
主要方法:
- 一个大规模的,多中心的元分析网络神经科学方法,使用来自5个国家的2433名参与者的静止状态fMRI数据.
- 时间解析网络分析,以评估DMN和ECN之间的动态切换.
- 一项独立的任务fMRI验证研究,共31名参与者.
主要成果:
- 创造力,特别是不同的思维能力,通过DMN-ECN开关的数量可靠地预测.
- 一般情报没有被DMN-ECN交换机预测.
- 在创造力和DMN-ECN切换的平衡之间观察到一个反转的U关系,表明在切换的中间级别的最佳性能.
结论:
- 在DMN和ECN之间动态切换对于创造力至关重要.
- 最佳的创造性表现与自发和受控的认知过程之间的平衡相互作用有关.
- 这项研究提供了强有力的多中心证据,将大脑网络动态与创造能力联系起来.
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