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This paper describes a new neuroimaging analysis toolbox that allows for themodeling of nonlinear effects at the voxel level, overcoming limitations ofmethods based on linear models like the GLM. We illustrate its features using arelevant example in which distinct nonlinear trajectories of Alzheimer'sdisease related brain atrophy patterns were found across the full biologicalspectrum of the disease. The open-source toolbox presented in this paper isavailable at https://github.com/imatge-upc/VNeAT.

Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling