Measuring brain connectivity with MRI
Brief Description of Project:
This project aims to test the ability of MRI to provide information on brain tissue microstructure, especially in the fibers that connect distant regions of the brain to form functional networks. The project uses MRI and light microscopy data to establish the strengths and weaknesses of MRI as a non-invasive measure of brain connectivity and to identify promising avenues for improvement.
Some experience with the MATLAB programming language.
Nature of Supervision:
The successful applicant will work closely with Adam Anderson (BME) and Iwona Stepniewska (Psychology), Kurt Schilling (post-doc in the Imaging Institute), Yurui Gao (research assistant professor in BME) and others.
A Brief Research Plan (period is for 10 weeks):
Week 1: Orientation and introduction to the project
Weeks 2-3: Image segmentation
Weeks 4-5: Image registration (i.e., alignment)
Weeks 6-7: Transformation of MRI data to light microscopy space
Weeks 8-9: Comparison of MRI and light microscopy connectivity data
Week 10: Poster preparation and documentation of results
Number of Open Slots: 2
Name: Adam Anderson
Department: Biomedical Engineering