Brief overview of Brain Imaging Genetic studies

COEX 

Brain imaging genomics is an emerging scientific field employing advanced computational statistical genomics and artificial intelligence to derive genomics and imaging-derived endophenotypes. The underlying hypothesis posits that these endophenotypes reside within the causal pathway, acting as more effective instruments — enhancing statistical power — to decipher the multifaceted pathogenesis of brain disorders and the mechanisms of the human brain. Genetics and imaging genetic studies have the potential to unravel the genetic basis of the brain, providing a molecular-level understanding of biological processes. Additionally, the integration of brain imaging technologies with genetic analyses enables researchers to visualize and comprehend the structural and functional consequences of genetic variations in the brain. This interdisciplinary approach not only enhances our understanding of the normal biological functions of the brain but also significantly contributes to identifying genetic factors associated with various brain pathological conditions and biological brain aging processes.
This talk aims to present an overview of the latest research studies and methodologies in the field of Brain Imaging Genetics. These topics will be further expanded upon by the presenters. Key areas covered include deep learning, the polygenicity of multimodal imaging-derived phenotypes, and the multivariate assessment of genetics and brain imaging features.