参与者随访率可以在纵向研究中偏向结构成像测量
Richard Beare1,2, Gareth Ball1,3, Joseph Yuan-Mou Yang1,3,4,5
1Developmental Imaging, Murdoch Children's Research Institute, Australia.
Neuroimage. Reports
|June 26, 2025
概括
在纵向MRI研究中,参与者退出可能会影响FreeSurfer软件的结果. 每人可用的脑部扫描数量较少,可能会影响皮质厚度和大脑体积估计,从而可能造成群体差异.
科学领域:
- 神经成像是一种神经成像.
- 生物统计学 生物统计学
- 医疗图像分析 医疗图像分析
背景情况:
- 纵向磁共振成像 (MRI) 研究随着时间的推移跟踪神经解剖学变化.
- 参与者退出在纵向研究中很常见,如果与结果相关,可能会导致结果偏差.
- 需要专门的处理管道来进行可靠的纵向MRI分析,避免时间点偏差.
研究的目的:
- 调查参与者学是否影响FreeSurfer软件管道对结构性大脑指标的估计.
- 为了确定每个人可用的MRI采集数量是否会影响FreeSurfer的性能.
主要方法:
- 使用FreeSurfer软件管道分析纵向MRI数据.
- 评估每位参与者不同数量的MRI采集对大脑度量估计的影响.
- 将FreeSurfer的表现与不同参与者的随访率进行比较.
主要成果:
- 每个人可用的MRI采集数量显著影响FreeSurfer对皮质厚度和大脑体积的估计.
- 由于脱学而减少的数据可用性,可以诱导大脑指标中的人工群体差异.
- 退学对大脑指标轨迹的影响不如横截面指标那么明显.
结论:
- 参与者退出和由此导致的可用MRI扫描的减少可以在FreeSurfer分析中引入偏差.
- 使用纵向MRI数据和FreeSurfer的研究人员应考虑数据可用性对结果的潜在影响.
- 仔细考虑数据的完整性对于准确解释纵向研究中的神经解剖学变化至关重要.
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