Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies

• Published in: bioRxiv
• Main Authors: Chen, Gang, Nash, Tiffany A, Reding, Katherine M, Kohn, Philip D, Shau-Ming Wei, Gregory, Michael D, Eisenberg, Daniel P, Cox, Robert W, Berman, Karen F, Kippenhan, J Shane
• Format: Paper
• Language: English
• Published: Cold Spring Harbor Cold Spring Harbor Laboratory Press 15.01.2021
• Subjects: Computational neuroscience; Image processing; Magnetic resonance imaging; Mathematical models; Medical imaging; Neuroimaging; Nonlinear systems

Abstract The ubiquitous adoption of linearity for quantitative explanatory variables in statistical modeling is likely attributable to its advantages of straightforward interpretation and computational feasibility. The linearity assumption may be a reasonable approximation especially when the variab...