ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences
ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences
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DOI：
10.1038/s41592-023-01901-3
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发表时间：
2023-06
期刊：
影响因子：
48
通讯作者：
Ting Xu;Gregory Kiar;J. Cho;Eric W. Bridgeford;A. Nikolaidis;J. Vogelstein;M. Milham
中科院分区：
文献类型：
--
作者：
Ting Xu;Gregory Kiar;J. Cho;Eric W. Bridgeford;A. Nikolaidis;J. Vogelstein;M. Milham
使用神经成像表征大脑功能的多方面个体差异是神经科学中生物标记物发现的核心。我们提供了一个集成的工具箱，可靠性探索者(REX)，以促进个体差异和可靠性的检查，以及在生物标记物发现中优化测量个体差异的有效方向。我们还介绍了梯度流，这是一种基于二维场地图的方法，用于在测量个体差异时识别和表示最有效的优化方向，该方法在REX中实现。
Characterizing multifaceted individual differences in brain function using neuroimaging is central to biomarker discovery in neuroscience. We provide an integrative toolbox, Reliability eXplorer (ReX), to facilitate the examination of individual variation and reliability as well as the effective direction for optimization of measuring individual differences in biomarker discovery. We also illustrate gradient flows, a two-dimensional field map-based approach to identifying and representing the most effective direction for optimization when measuring individual differences, which is implemented in ReX.