在ASD中,行为指标和大脑微观结构之间的广泛关联表明年龄介导ASD的亚型
Haylee J Ressa1, Benjamin T Newman1,2, Zachary Jacokes3
1Department of Psychology, University of Virginia, Gilmer Hall, Charlottesville, VA 22903.
bioRxiv : the preprint server for biology
|September 16, 2024
概括
自闭症谱系障碍 (ASD) 与大脑结构的改变有关,特别是减少g比和轴突传导速度. 神经成像和行为分析基于不同的神经配置和发育轨迹表明潜在的自闭症亚型.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 生物医学成像技术 生物医学成像技术
背景情况:
- 自闭症谱系障碍 (ASD) 是一种影响社会沟通和行为的神经发育状况.
- 以前的研究表明,ASD患者的g比率和轴突导电速度降低.
- 了解神经生物学基础对于识别自闭症亚型至关重要.
研究的目的:
- 为了将行为和认知指标与ASD中神经成像标记者相关联.
- 从神经成像的角度探索潜在的ASD亚型.
- 研究ASD中大脑指标和行为表现之间的关系.
主要方法:
- 分析了273名参与者 (148名患有自闭症),年龄在8至17岁之间,使用来自NIH自闭症卓越中心网络的数据.
- 行为/认知评估与微观结构神经成像指标之间的关联研究.
- 机器学习集群分析应用于神经成像数据.
主要成果:
- 在ASD中观察到行为,认知和微观结构指标之间的广泛关联.
- 个别的行为子类别显示出比复合分数更强的关联,这表明神经元的隐形形状.
- 机器学习确定了与神经成像和行为模式相关的集群,与年龄相关的成熟可能会影响ASD行为.
结论:
- 神经成像标记与ASD的行为和认知概况有关.
- 根据神经成像数据,ASD可能会被亚型化,揭示出不同的行为轨迹.
- 识别的集群表明潜在的亚型,其特点是限制性/重复性行为或感官敏感性和语言表现.
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