在自闭症谱系障碍中异常形态发展的扩散轨迹
Yu Feng1,2, Weixing Zhao1,2, Youyi Li1,2
1The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, PR China.
自闭症谱系障碍 (ASD) 在青春期显示出大脑灰质体积 (GMV) 的发育转变,从过度生长转向延迟成熟. 功能性大脑网络影响这些非典型的神经发育变化.
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.
- 自闭症研究 自闭症研究
背景情况:
- 了解自闭症谱系障碍 (ASD) 中的大脑发育是关键.
- 功能网络在调节ASD发育过程中大脑形态变化的作用尚不清楚.
研究的目的:
- 研究功能性大脑网络如何影响ASD个体大脑形态的发育变化.
- 分析灰色物质体积 (GMV) 和功能连接 (FC) 与ASD的神经发育轨迹相关.
主要方法:
- 使用ABIDE数据,分析了301名患有自闭症的个体和375名典型发育对照 (TDCs) 的GMV和FC,年龄为8-18岁.
- 采用滑窗方法和Kullback-Leibler分歧来量化跨年龄组的GMV偏差 (DEV).
- 利用网络扩散建模 (NDM) 来预测发育变化和评估神经发育上的网络约束.
主要成果:
- 观察到GMV分歧的发育转变:与TDC相比,ASD参与者在青春期早期的积极偏差在青春期晚期转变为负差.
- 在上角,环状回环,胰岛和上叶中发现了显著的GMV偏差.
- NDM证实,在早期阶段的非典型大脑区域DEV预测了随后的阶段,受到网络架构的限制.
结论:
- 在整个青春期,自闭症表现出一种动态的发育转变,从灰质过度生长到延迟成熟.
- 内在的功能性大脑网络在限制ASD非典型解剖发展方面发挥着至关重要的作用.
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