Estimation of complete function specific networks
This technology is a software based model for analyzing whole brain diffusion magnetic resonance imaging (dMRI) and functional magnetic resonance imaging (fMRI) data to estimate function specific brain circuits. The approach reveals detailed anatomical connectivity patterns for each functional module and recovers structural connections that are underestimated by diffusion MRI (dMRI). Using Human Connectome Project (HCP) data, the model successfully identified function specific anatomical circuits, such as the language and resting state networks.
Models interactions between structural and functional connectivity
Traditionally, estimating brain circuits by incorporating information from functional MRI into diffusion MRI is challenging. Seed regions for tractography are selected from fMRI activation maps to extract the white matter pathways of interest. This new method jointly analyzes whole brain dMRI and fMRI data revealing detailed anatomical connectivity patterns for each functional module. This novel framework explicitly models interactions between structural and functional connectivity measures, thereby improving anatomical circuit estimation.
Phase of Development
- Proof of concept. Model demonstrated using Human Connectome Project (HCP) data.
- Enhanced structural activity brain mapping
- Discovers function-specific brain circuits
- Analyzes whole brain diffusion MRI (dMRI) and functional MRI (fMRI) data
- Joint structural-functional brain network model
- Reveals detailed anatomical connectivity patterns for each functional module
- Magnetic resonance imaging (MRI)
- Brain mapping
- Diffusion MRI (dMRI)
- Functional MRI (fMRI)
|Interested in Licensing?|
|The University relies on industry partners to further develop and ultimately commercialize this technology. The license is for the sale, manufacture or use of products claimed by the patents. Please contact Andrew Morrow to share your business needs and licensing and technical interests in this technology.|