空间异质性和功能连接性发展的子类型在年轻人中
Hongming Li1,2, Zaixu Cui3, Matthew Cieslak4,5,6
1Center for AI and Data Science for Integrated Diagnostics (AI2D), University of Pennsylvania, Philadelphia, PA, USA. Hongming.Li@pennmedicine.upenn.edu.
这项研究引入了区域大脑发育指数,以更好地了解大脑成熟. 年轻人的高级功能连接 (FC) 发展模式与卓越的认知表现相关,突出了大脑发育的区域差异.
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.
- 认知神经科学 认知神经科学
背景情况:
- 大脑年龄预测评估功能连接 (FC) 发展.
- 全球大脑年龄指数缺乏空间异质性的信息.
- 对于理解神经发育而言,FC成熟的区域差异至关重要.
研究的目的:
- 引入一个区域大脑发育指数用于细粒度FC成熟分析.
- 调查区域性FC发展的空间变异性和亚型.
- 将FC发展模式与认知表现和潜在的遗传因素联系起来.
主要方法:
- 利用了来自费城神经发育队列 (8-23岁) 的数据.
- 应用了一个新的区域大脑发育指数来描述FC成熟.
- 在人类连接器项目开发队列中重复的发现.
主要成果:
- 确定了三种不同的FC发育模式的亚型.
- 沿着感官运动关联轴的高级FC发展的个体表现出卓越的认知表现.
- 与神经分化,突触生成和髓化相关的基因表达相关的FC发展.
结论:
- 在FC发育中的空间异质性反映了皮质微观结构和层次组织.
- 区域大脑发育指数提供了对神经认知成熟的更细致的理解.
- FC发展模式与影响青春期神经发育的遗传因素有关.
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