Imaging Genetics for Neurosciences
Made possible by a PIA grant, the Brainomics project was established to study associations between neuroimaging, genetics, and cognitive data. The aim of this project is to unveil such relationships using advanced data science tools as well as the knowledge and expertise stemming from our interdisciplinary members, most of whom are currently based in CEA Neurospin University Paris-Saclay.
Using data from the UK Biobank, the world's largest general population imaging-genetics cohort, a collaboration led by a team at BAOBAB (NeuroSpin) has identified genes involved in the genetic architecture of functional language connectivity. These genes could be a priority for studying natural language....
Our study evaluates the impact of adding an object detection framework into brain tumour segmentation models, especially when the models are applied to different domains....
Language is a singularity of the human species. Its complexity suggests that it is supplemented by an innate language capacity....
We use current unvaluable international resources as reference for imaging genetics. In particular we estimate reference values for heritability of image brain phenotypes....
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....
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....