在童年缺席中探索结构性协差网络的核心网络
Merel J A Eussen1,2, Jacobus F A Jansen3,2,4, Twan P C Voncken5,6
1Department of Biomedical Technology, Eindhoven University of Technology, Eindhoven, the Netherlands.
Heliyon
|December 18, 2023
概括
患有童年缺席 (CAE) 的儿童显示大脑网络组织效率较低. 这种结构共变网络 (SCN) 的低效与儿科患者的认知表现相关.
科学领域:
- 神经科学是一个神经科学.
- 儿科神经学 儿科神经学
- 医疗成像医学成像
背景情况:
- 童年缺席 (CAE) 是一种常见的儿科,通常被认为是良性的,大多数儿童超越了发作.
- 微妙的认知缺陷和大脑形态变化以前已经在CAE患者中观察到.
- 结构共变网络 (SCN) 可以捕捉相互连接的形态学大脑变化.
研究的目的:
- 用SCNs量化和比较CAE儿童的结构性大脑网络组织与健康对照.
- 研究核心网络架构与CAE儿童认知表现之间的关系.
主要方法:
- 17名患有CAE的儿童 (6-12岁) 和15名对照儿童 (6-12岁) 接受了T1加权的MRI.
- 通过将T1加权图像分成68个皮质区域来估计SCN.
- 计算了图形理论指标 (分类性,富人俱乐部系数);多变量线性回归分析了群体差异和认知相关性.
主要成果:
- 与对照组相比,患有CAE的儿童在SCN中表现出明显较低的分类性,表明核心网络组织效率较低.
- 更高的认知性能与更强的分类混合模式 (更有效的SCN结构) 有关.
- 富人俱乐部系数在不同组之间没有差异,也没有与认知指标相关.
结论:
- 与对照组相比,CAE儿童的结构共变网络组织效率较低.
- 这种改变的网络组织与儿科的认知表现有关.
- 研究结果为SCN组织及其与CAE认知的关系提供了新的见解.
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