This paper describes a new neuroimaging analysis toolbox that allows for the
modeling of nonlinear effects at the voxel level, overcoming limitations of
methods based on linear models like the GLM. We illustrate its features using a
relevant example in which distinct nonlinear trajectories of Alzheimer's
disease related brain atrophy patterns were found across the full biological
spectrum of the disease. The open-source toolbox presented in this paper is
available at this https URL

该研究论文介绍了一种新的神经影像分析工具箱，允许对体素级别的非线性效应进行建模，克服了基于线性模型（如 GLM）的方法的局限性。我们使用相关示例说明了其特点，该示例发现了与阿尔茨海默病相关的脑萎缩模式的不同非线性轨迹，这些轨迹在疾病的完整生物光谱上均可发现。本文介绍的开源工具箱可在此 https://URL 获得。