通过尺寸,尾巴样本和倾向匹配模型比较大脑行为关系.
bioRxiv : the preprint server for biology
|June 12, 2025
概括
从大队伍中大脑结构分布的尾部取样增强了整个大脑关联研究 (BWAS) 的效果大小. 这种方法通常可以改善对生物,临床和认知结果的检测.
科学领域:
- 神经成像是一种神经成像.
- 量化心理学 量化心理学
- 生物统计学 生物统计学
背景情况:
- 大型人群队列对于强大的大脑范围关联研究 (BWAS) 是必不可少的.
- 从极端分布 (尾巴) 取样可能会增加BWAS中的效果大小和可重现性.
- 样本社会人口统计学变异性对BWAS效应大小的影响尚未研究.
研究的目的:
- 调查不同的采样策略 (维度,尾样,倾向匹配) 如何影响BWAS中的效果大小.
- 用青少年大脑认知发展 (ABCD) 研究的数据来比较这些采样方法的实用性.
- 为了确定样本特征对大脑行为关联的影响.
主要方法:
- 利用多变量回归模型来估计大脑与行为之间的关联.
- 在全样本维度,尾部样本和倾向匹配组中比较效果大小.
- 从事大脑结构成像表型作为独立变量和生物/心理结果作为依赖变量从ABCD研究®.
主要成果:
- 当从全样本维度模型转移到尾部样本组模型时,效应大小按预期增加.
- 倾向匹配的群体模型显示了混合的影响,增加了一些结果的效果大小,同时减少了其他结果.
- 脑结构的尾部采样测量通常在各种结果类型中放大了效应大小.
结论:
- 从大脑结构分布的尾部取样是一种可行的策略,可以增加BWAS中的效果大小.
- 抽样策略对BWAS发现的影响不均,特别是在倾向匹配的群体中.
- 研究结果支持尾部采样的实用性,用于增强在生物,临床和认知领域检测大脑行为关系.
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