视觉运动,反应控制和工作记忆过程中的大脑内在网络的激活和动态连接调节
Elif Kurt1,2,3, Ali Bayram1,3, Tamer Demiralp3,4
1Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
The European journal of neuroscience
|August 26, 2025
概括
大脑网络为特定的认知任务动态重新配置, 显示特定领域的变化而不是统一的变化. 这种选择性重组支持适应性认知功能.
科学领域:
- 神经科学
- 认知神经科学
- 功能神经成像
背景情况:
- 大规模的内在连接网络 (ICNs) 对认知灵活性至关重要.
- 众所周知,ICN会根据不断变化的任务需求进行重新配置.
- 了解这种重新配置的选择性是理解自适应性认知的关键.
研究的目的:
- 调查内在连接网络 (ICN) 是否在不同认知领域表现出选择性,任务敏感的重组.
- 在认知任务中区分域特定和统一的网络架构转移.
- 在适应性认知中探索特定网络的作用,例如前端对象网络.
主要方法:
- 28名健康成年人的功能磁共振成像 (fMRI) 数据.
- 组级独立组件分析 (ICA) 以确定ICN.
- 移动窗口相关性和多重回归建模以评估动态功能网络连接 (dFNC).
主要成果:
- 在视觉运动整合,响应控制和工作记忆任务中,ICNs显示了域特定的,部分重叠的重新配置配置.
- 在特定的认知任务中,前端对象网络与注意网络的选择性连接性发生了变化.
- 默认模式和边缘网络在工作记忆任务中表现出负载依赖的停用和改变的连接性.
- 基底腺,视觉和体力运动网络显示域一般或上下文依赖的参与.
结论:
- 适应性认知来自选择性,域依赖ICN重新配置,而不是全球连接转移.
- 这些发现突显了大脑网络组织的动态性和灵活性.
- 结合ICA和dFNC方法为研究大脑功能架构提供了一种精细的方法.
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