新奇的神经蓝图:积极和被动的新奇处理网络的元分析剖析
Ern Wong1, Gianluca Sesso1,2, Irene Sánchez Rodríguez1
1IMT School for Advanced Studies Lucca, Molecular Mind Lab, Lucca, Italy.
Brain and behavior
|February 10, 2026
概括
积极和被动的新奇处理都共享一个核心大脑网络,但根据认知需求招募不同的区域. 这突显了大脑如何调整其神经架构以检测环境变化.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
背景情况:
- 检测新的环境事件对于生存至关重要.
- 新闻处理以主动 (明确识别) 和被动 (自下而上的重定向) 模式进行.
- 这些模式在注意力控制和记忆系统参与度上有所不同.
研究的目的:
- 调查主动和被动的新奇处理是否共享神经基质.
- 识别每个处理模式中涉及的共同和独特的大脑区域.
主要方法:
- 在fMRI研究中使用激活概率估计 (ALE) 进行基于坐标的元分析.
- 对ALE地图的结合和减去分析,以比较神经基质.
主要成果:
- 一个核心的新奇响应网络包括中间叶 (MTLs),下额头 (IFG) 和中间额头区域.
- 活跃处理显示左前中心,左IFG,右MTL和中间额头区域的趋同更大.
- 被动处理显示左上旋,双边MTL和右IFG的度更大.
结论:
- 主动和被动的新奇处理利用一个共享的神经网络.
- 网络组件的不同招聘反映了不同的认知和注意力需求.
- 大脑灵活地适应其神经架构来处理新奇的事件.
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