基于坐标的时间感知网络元分析.
1George Mason University, Fairfax, VA, USA. mwiener@gmu.edu.
Advances in experimental medicine and biology
|June 25, 2024
概括
基于坐标的元分析 (CBMA) 合成神经成像数据以了解大脑时间. 这篇评论表明存在一个域一般的"定时网络",指导未来关于时间感知的大脑研究.
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:
- 时间感知研究使用神经成像技术,如功能磁共振成像 (fMRI),已经取得了显著的进步.
- 综合各种神经成像研究的发现,对于理解时间感知的神经基础至关重要.
- 基于坐标的元分析 (CBMA) 提供了一种方法来汇总来自多项研究的数据.
研究的目的:
- 在时间感知研究中提供基于坐标的元分析 (CBMA) 的概述.
- 检查CBMA研究在这个领域的方法,发现和未来方向.
- 识别与时间感知相关的大脑激活的常见模式.
主要方法:
- 审查现有的基于坐标的元分析 (CBMA) 在时间感知方面的研究.
- 从个别神经成像研究中对激活焦点的建模作为概率分布.
- 在研究中统计确定激活概率的共同领域.
主要成果:
- 对CBMA研究的调查表明,在时间感知中存在分布式神经网络.
- 有证据表明,时间处理的基础是域一般网络,而不是模式特定网络.
- 已识别的常见激活概率图提供了对时间神经实例化的洞察.
结论:
- 这些发现支持存在一个通用域的存在.
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