青少年9-17岁与皮质和皮质下大脑结构的年龄关联
Diana M Smith1,2,3, Alison Rigby2,3,4, Diliana Pecheva3,5
1Medical Scientist Training Program, University of California San Diego, La Jolla, CA.
青少年大脑发育显示出明显的结构变化,全球体积在十几岁中期达到峰值,皮层厚度下降. 这项研究使用更新的快速高效混合效应算法 (FEMA) 来分析大规模的大脑成像数据.
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.
- 大脑成像分析分析
背景情况:
- 青春期对大脑成熟至关重要,但之前的研究样本规模小,分析范围有限.
- 研究与年龄相关的大脑变化需要先进的统计方法,能够处理大数据集和复杂的轨迹.
- 快速高效混合效应算法 (FEMA) 为voxel或顶点级分析提供了计算效率.
研究的目的:
- 扩展FEMA框架用于建模非线性年龄相关的大脑结构轨迹.
- 分析在大型青少年队伍中皮质和皮质下大脑结构的发育变化.
- 为了研究青少年大脑结构发育中的性别差异.
主要方法:
- 自然线基函数被整合到FEMA框架中,以建模非线性年龄轨迹.
- 更新的FEMA模型应用于青少年大脑认知发展 (ABCD) 研究数据集 (N=10,521).
- 分析包括皮层/皮下体积,皮层厚度/表面积和基于雅科比的体积,按性别分层.
主要成果:
- 全球大脑容量在13岁 (女性) 和15岁 (男性) 左右达到顶峰.
- 皮质表面积呈现出反转的U形轨迹,而皮质厚度显示出单调的下降.
- Voxelwise分析揭示了与年龄相关的结构轨迹的详细区域和次区域差异.
结论:
- 这些发现复制并扩展了关于青少年大脑发育的现有知识,突出了特定的时空模式.
- 在皮下区域观察到结构成熟的不同轨迹.
- 加强的FEMA框架是公开可用的,用于未来的大规模神经成像研究.
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