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ReX:一种用于量化和优化个体差异研究中测量可靠性的综合工具。

ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences.

作者信息

Xu Ting, Kiar Gregory, Cho Jae Wook, Bridgeford Eric W, Nikolaidis Aki, Vogelstein Joshua T, Milham Michael P

机构信息

Department of Brain Development, Child Mind Institute, New York, NY, USA.

Johns Hopkins University, Baltimore, MD, USA.

出版信息

Nat Methods. 2023 Jul;20(7):1025-1028. doi: 10.1038/s41592-023-01901-3. Epub 2023 Jun 1.

Abstract

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.

摘要

使用神经成像来表征大脑功能中多方面的个体差异是神经科学中生物标志物发现的核心。我们提供了一个综合工具箱——可靠性探索者(ReX),以促进对个体差异和可靠性的检验,以及为优化生物标志物发现中个体差异测量提供有效方向。我们还展示了梯度流,这是一种基于二维场图的方法,用于识别和表示测量个体差异时最有效的优化方向,它在ReX中得以实现。

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