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Updated: Jan 10, 2026
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Basics of Multivariate Analysis in Neuroimaging Data
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临床特征影响多变量大脑行为关联的可复制性
Michelle Wang1, Brent C McPherson1, Bratislav Misic1
1McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Quebec, Canada.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
使用正规关联分析 (CCA) 进行可复制的大脑行为分析需要数百名参与者. 针对CCA的特定亚群,可以减少对可靠结果的样本大小需求.
科学领域:
- 神经成像是一种神经成像.
- 认知神经科学 认知神经科学
- 生物统计学 生物统计学
背景情况:
- 多变量大脑行为分析通常需要大样本大小来进行可复制性.
- 样本大小和队列组成对法定相关性分析 (CCA) 可复制性的影响尚未完全理解.
研究的目的:
- 调查样本大小和参与者队列组成如何影响CCA结果的可复制性.
- 为了确定在脑行为研究中可靠的CCA发现所需的最小样本大小.
主要方法:
- 应用于CCA扩散权重磁共振成像 (dMRI) 现型和认知评估评分从英国生物库 (N=40,514).
- 根据临床资料定义了四个参与者队列.
- 在不同样本大小和队列中评估了正统相关性和可变负载的可复制性.
主要成果:
- 大约500个个体的样本大小通常足以在所有队伍中实现可复制的正规相关性和可变负载.
- 一个高度向的队列需要更少的样本来实现可比或优异的相关性.
- 变量负载从大约500个样本大小到数千个样本大小保持一致.
结论:
- 数以百计的样本大小可能足以在脑行为研究中获得可靠的CCA结果.
- 针对特定的子群体可以大幅减少CCA所需的样本大小.
- 这些发现对优化神经成像和认知研究的研究设计有影响.
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