研究设计特征增加了跨截面和纵向大脑全局关联研究中的可复制性
Kaidi Kang1, Jakob Seidlitz2,3,4, Richard A I Bethlehem5
1Department of Biostatistics, Vanderbilt University Medical Center.
bioRxiv : the preprint server for biology
|July 3, 2023
概括
优化研究设计是改善大脑范围关联研究 (BWAS) 效果大小和可复制性的关键. 具有较大的年龄变异性的纵向设计和特定的采样方案增强了研究结果,为未来的研究提供了关键的指导.
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:
- 整个大脑的关联研究 (BWAS) 对于理解大脑行为联系至关重要.
- 最近的研究强调了在BWAS中需要大样本大小,因为标准化效果大小 (ESs) 很小.
- 优化研究设计被提出作为一种提高BWAS可复制性的方法.
研究的目的:
- 调查研究设计如何影响标准化效果大小 (ESs) 和全脑关联研究 (BWAS) 中的可复制性.
- 为优化研究设计提供指导,以获得更强大,更可重复的BWAS结果.
主要方法:
- 来自生命周期脑图协会 (Lifespan Brain Chart Consortium) 的63项纵向和横截面磁共振成像研究的元分析 (77,695次扫描).
- 使用英国生物银行和ADNI数据集对大脑测量年龄影响的分析.
- 对ABCD数据集中各种大脑行为关联的纵向采样方案的评估.
主要成果:
- 具有更大的协同变量的BWAS和纵向设计显示了更大的标准化ESs.
- 特定的采样方案,比如增加受试者之间的年龄变化和添加纵向测量,改善ES和可复制性.
- 常见的纵向模型可以矛盾地减少ESs;明确模拟主体间和主体内效应是有益的.
结论:
- 研究设计对标准化效应大小和BWAS中的可复制性产生重大影响.
- 纵向研究设计,当通过适当的抽样优化时,可以显著提高BWAS发现.
- 为了最大限度地提高BWAS的稳定性和通用性,建议明确地模拟主体内和主体之间的效应.
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