时间解决的连接揭示了在面部处理过程中大脑网络重新配置的"如何"和"何时"
Antonio Maffei1, Paola Sessa1,2
1Padova Neuroscience Center (PNC), University of Padova, Italy.
Neuroimage. Reports
|June 26, 2025
概括
人类大脑网络为高效认知而动态变化. 面部处理在早期就显示了网络效率和复杂性的提高,核心和扩展系统更有效地通信.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 网络科学 网络科学
背景情况:
- 有效的认知操作依赖于大规模大脑网络的动态变化.
- 面部处理涉及经过充分研究的大脑区域,具有详细的时间活动模式.
研究的目的:
- 在面部处理过程中调查全脑网络拓学的动态变化.
- 了解皮层连接如何重塑以支持视觉刺激的认知处理.
主要方法:
- 从磁脑电图 (MEG) 记录中建模皮质连接.
- 呈现与会者与面部和杂乱的图像.
- 使用时间解析解码分析网络拓和功能连接.
主要成果:
- 整个大脑网络拓在响应面孔时变得更加高效和复杂,而不是与混图像 (~170 ms峰值) 相比.
- 核心和扩展面处理系统在拓上显示出更紧密的集成.
- 面部熟悉性可以在处理的早期与功能连接性区分开来.
结论:
- 皮质连接的动态重塑对于复杂的视觉刺激 (如面部) 的认知处理至关重要.
- 核心和扩展面部处理网络之间的早期,高效的通信支持快速识别.
- 这些发现促进了对面部感知背后的神经动态的理解.
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