ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences.
Ting XuGregory KiarJae Wook ChoEric W BridgefordAki NikolaidisJoshua T VogelsteinMichael Peter MilhamPublished in: Nature methods (2023)
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.