全球连接的自发波动反映了高预测误差和低预测误差状态之间的过渡
Paul C Bogdan1, Shenyang Huang1, Lifu Deng2
1Department of Psychology and Neuroscience, Duke University, Durham, NC, 27708.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
减少预测错误 (PE) 影响大脑连接,影响感官和抽象思维. 这些与神经振荡相关的动态大脑状态支持一般认知操作.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
背景情况:
- 预测错误 (PE) 在大脑功能的最小化作用是有争议的,有些人认为它是所有认知的基础,而另一些人则将其限制在感官处理.
- 了解PE对高阶认知操作的影响仍然是神经科学中的一个关键挑战.
研究的目的:
- 调查预测误差最小化是否是大脑功能的一般原则,影响低级感官和高级抽象认知过程.
- 探索与预测错误状态相关的大规模大脑连接模式.
- 检查这些预测错误波动背后的时间动态和神经振荡.
主要方法:
- 利用行为,功能磁共振成像 (fMRI) 和电脑电图 (EEG) 数据.
- 采用基于任务的fMRI来检查语义和奖励处理预测错误.
- 应用静态fMRI和EEG来研究动态连接状态和神经振荡.
主要成果:
- 高预测误差状态调高了腹脊连接,而低PE状态调高了后前连接.
- 在休息期间,个人在这些动态连接状态之间不断波动,反映了持续的预测错误最小化.
- 预测错误网络波动与三角形/三角形振荡 (3-6 Hz) 相对应,这表明这些认知操作的次秒时间尺度.
结论:
- 预测误差最小化似乎是一个影响大规模大脑连接和动态状态的全球原则.
- 这些动态波动在集成性,一般性认知操作中发挥作用,这些操作发生在次秒时间尺度下.
- 这些发现支持统一地看待预测错误作为跨多种认知功能的基本机制.
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