Imaging Genetics
Section Leader: Prof. dr. ir. Boudewijn P.F. Lelieveldt
The Imaging Genetics section focuses on developing methods to analyze high-dimensional data across different levels and scales to produce new insights about structural and functional organization of the brain. Our aim is to discover associations between neuroanatomical and neurophysiological observations and the underlying molecular mechanisms in healthy and diseased brains. We develop computational algorithms to cross-link neuroimaging data and high-throughput "omics" data through spatially-localized molecular data, such as atlases of the Allen Institute for Brain Science.
Current Projects
- Migraine GWAS: Beyond the Significant Variants
- Genome-wide Coexpression of Steroid Receptors in the Mouse Brain
- Spatio-temporal Coexpression Networks of Autism Genes
- Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse Cortex
- Visualizing Brain Gene Expression Organization
- Approximated and User Steerable tSNE for Progressive Visual Analytics
- Genomic Connectivity Networks in the Developing Human Brain
Associated Researchers
- Boudewijn P.F. Lelieveldt
- Ahmed Mahfouz
- Gokem Saygili
- Sjoerd Huisman
- Baldur van Lew
- Nicola Pezzotti
- Thomas Höllt
- Thomas Kroes
Funding
- Genes in Space
- VAnPIRe – Visual Analysis in Population Imaging Research
- Human Brain Project (SP08: Medical Informatics Platform)