从婴儿期到青春期的有效连接组的发展
Guoshi Li1, Kim-Han Thung1, Hoyt Taylor1
1Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|January 27, 2025
概括
这项研究揭示了从婴儿到青春期大脑中有效连接 (EC) 的"U"形发育轨迹,最低的EC在2岁左右. 这突显了早期发育过程中的复杂大脑成熟.
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.
- 脑部成像 脑部成像
背景情况:
- 了解大脑发育对于评估成长和检测疾病至关重要.
- 使用静止状态fMRI (rs-fMRI) 的功能连接 (FC) 在捕捉定向影响方面存在局限性.
- 有效连接 (EC) 为神经网络中的定向因果相互作用提供了更细致的观点.
研究的目的:
- 从婴儿到青春期,在整个大脑网络中划出有效连接 (EC) 的发展轨迹.
- 通过回归动态因果建模 (rDCM) 来研究针对性因果影响的与年龄相关的变化.
- 识别特定的大脑区域和网络,在EC中表现出显著的发育变化.
主要方法:
- 应用回归动态因果建模 (rDCM) 到 rs-fMRI 数据从婴儿连接体项目 (BCP) 和人类连接体项目开发 (HCP-D).
- 分析了0-22岁个体的数据,绘制了EC的发育轨迹.
- 利用线性混合模型来评估年龄对节点EC的影响,并确定显著的发育模式.
主要成果:
- 观察到一个显著的年龄对平均节点EC的影响,最好用一个正方形的"U"形曲线来描述,最小年龄约为2岁.
- 左和右骨,左前骨,左上边缘,右下线显示了结节EC中最显著的与年龄相关的变化.
- 前端对象控制 (FPC) 网络显示了从幼儿到青春期的EC增长速度最快,其次是视觉和突出网络.
结论:
- 大脑的有效连接显示了从婴儿期到青春期的复杂,非线性发育特征.
- 这些发现表明,在这个关键的发育时期发生的结构和功能成熟过程是动态的.
- 该研究提供了EC的规范性发育地图,对于理解典型的大脑成熟和识别偏差非常有价值.
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