{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/voxelwise-nonlinear-regression-toolbox-for","title":"Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling","arxiv_id":"1612.00667","date":"2016-12-02","proceeding":null,"authors":["Santi Puch","Asier Aduriz","Adrià Casamitjana","Veronica Vilaplana","Paula Petrone","Grégory Operto","Raffaele Cacciaglia","Stavros Skouras","Carles Falcon","José Luis Molinuevo","Juan Domingo Gispert"],"abstract":"This paper describes a new neuroimaging analysis toolbox that allows for the\nmodeling of nonlinear effects at the voxel level, overcoming limitations of\nmethods based on linear models like the GLM. We illustrate its features using a\nrelevant example in which distinct nonlinear trajectories of Alzheimer's\ndisease related brain atrophy patterns were found across the full biological\nspectrum of the disease. The open-source toolbox presented in this paper is\navailable at https://github.com/imatge-upc/VNeAT.","url_abs":"http://arxiv.org/abs/1612.00667v3","url_pdf":"http://arxiv.org/pdf/1612.00667v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"voxelwise-nonlinear-regression-toolbox-for","repo_url":"https://github.com/imatge-upc/VNeAT","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}