Heritability of the language network using resting state fMRI data
Language is a singularity of the human species. Its complexity suggests that it is supplemented by an innate language capacity....
International resources we use in imaging-genetics
We use current unvaluable international resources as reference for imaging genetics. In particular we estimate reference values for heritability of image brain phenotypes....
Network regularization in imaging-genetics
Structural MRI is combined with genetic data while using prior knowledge of interactions between genes. A Canonical Correlation Analysis (CCA) approach endowed with graph regularization is used....
Multiway Generalized Canonical Correlation Analysis (MGCCA)
Regularized Generalized Canonical Correlation Analysis (RGCCA) is a general multiblock data analysis framework that encompasses several important multivariate analysis methods such as principal component analysis, partial least squares regression and several versions of generalized canonical correlation analysis. RGCCA was extended to the case where at least one block has a tensor structure. This method is called Multiway Generalized Canonical Correlation Analysis (MGCCA)....
Radiomics and radiogenomics
Brain tumor is the most frequently encountered pediatric tumor. The Herby project, lead by the Institut Gustave Roussy, aims at applying radiomic, and further genomic, analysis on pediatric glioma and invasive brain stem glioma....
Imaging genetics and the sulcal pits
Pits or sulcal roots are the starting marks of the sulcation process on the brain of foetus which occurs in the third semester of gestation. They have for long been assumed to be under tight genetic control, but this was never quantified. Pits are still visible in adult MR images of the brain and we studied them in the Human Connectome Project twin cohort....
