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较长的扫描可以提高预测能力,并降低大脑范围关联研究的成本

Leon Qi Rong Ooi^1,2,3,4,5, Csaba Orban^2,3,5, Shaoshi Zhang^1,2,3,4,5

¹Integrative Sciences and Engineering Programme (ISEP), National University of Singapore.

bioRxiv : the preprint server for biology

|February 26, 2024

概括

在全脑关联研究 (BWAS) 中,优化功能性MRI扫描时间和样本大小可以提高预测准确度并降低成本. 较长的扫描,特别是大约30分钟,往往比单纯增加样本大小更具成本效益.

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:

全脑协会研究 (BWAS) 面临着功能性MRI (fMRI) 扫描时间和样本大小之间的权衡.
优先考虑其中一个可以影响预测准确性和研究成本.

研究的目的:

在BWAS中开发一个理论模型,以优化fMRI扫描时间和样本大小.
确定最大限度地提高表型预测准确性的最具成本效益的策略.

主要方法:

导出了一个理论模型,将预测准确性与样本大小和总扫描持续时间相关联.
对9个不同的fMRI数据集中的76个表型验证了模型.
分析成本效益,考虑到参与者的开销成本.

主要成果:

预测准确度随样本大小和总扫描持续时间的增加而增加.
样本大小最终比预测准确度的扫描时间更为关键.
与10分钟扫描相比,30分钟扫描可节省大量成本 (22%) ,最佳时间通常超过20分钟.

结论:

优化样本大小和扫描时间对于提高预测能力和降低BWAS研究成本至关重要.
建议进行较长的扫描 (≥20分钟,理想情况下≥30分钟) 以节省成本,特别是在考虑参与者的开支时.
扫描时间的优化因BWAS类型而异 (例如,任务fMRI与静止状态).

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