2026-04-13T02:16:41Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1842422025-12-04T22:52:08Zcom_2072_1057col_2072_478825col_2072_478917

00925njm 22002777a 4500 dc Vilor Tejedor, Natalia author Garrido Martín, Diego, 1992- author Rodríguez-Fernández, Blanca author Lamballais, Sander author Guigó Serra, Roderic author Gispert, Juan Domingo author 2022-03-18T17:59:28Z 2022-03-18T17:59:28Z 2021-10-28 2022-03-18T17:59:28Z Imaging genetic studies aim to test how genetic information influences brain structure and function by combining neuroimaging-based brain features and genetic data from the same individual. Most studies focus on individual correlation and association tests between genetic variants and a single measurement of the brain. Despite the great success of univariate approaches, given the capacity of neu- roimaging methods to provide a multiplicity of cerebral phenotypes, the development and application of multivariate methods become crucial. In this article, we review novel methods and strategies focused on the analysis of multiple phenotypes and genetic data. We also discuss relevant aspects of multi-trait modelling in the context of neuroimag- ing data. Genètica Cervell Diagnòstic per la imatge Genetics Brain Diagnostic imaging Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!