在MEG中的虚拟病变显示了从幼儿时期到青春期语言网络的脆弱性越来越大
Brady J Williamson1, Hansel M Greiner2,3, Darren S Kadis4,5
1Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Nature communications
|November 11, 2023
概括
孩子 孩子 孩子 孩子
科学领域:
- 神经科学是一个神经科学.
- 发育神经科学的发展神经科学.
- 网络科学 网络科学
背景情况:
- 儿科大脑损伤会影响语言结果,年幼的孩子通常会表现出更好的恢复.
- 这个这个这个这个这个
- 儿科优势 儿科优势
- 假设源于大脑网络属性,如冗余性.
研究的目的:
- 为了研究与年龄相关的变化,大脑网络适应力受伤的儿童.
- 使用计算模型评估全脑和语言网络的脆弱性.
主要方法:
- 利用了85名儿童的磁脑图 (MEG) 数据.
- 在基于中心性测量和随机选择的脑网络上进行攻击 (节点移除).
- 在功能数据分析 (FDA) 框架内,使用透理论对所有网络密度进行了分析网络解体.
主要成果:
- 随着年龄的增长,观察到全脑和语言网络对随机和中间中心性攻击的脆弱性增加 (调整-p <0.05).
- 证明了网络拓学的发展变化有助于提高语言网络的脆弱性.
结论:
- 大脑网络拓在童年发育过程中对损伤的抵御性变得不那么强.
- 这些发现阐明了儿童脑损伤后语言恢复中与年龄相关的差异背后的神经机制.
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