Understanding how the brain’s physical wiring relates to its functional activity remains a major open question in neuroscience. This project investigates how structural connectivity (mapped using diffusion MRI) aligns with functional connectivity (derived from resting-state fMRI), with a focus on underexplored signals in white matter. Using large-scale datasets from the Human Connectome Project, students will build Python pipelines to process multimodal brain imaging data and analyze how structure–function relationships relate to cognitive and behavioral traits such as memory, intelligence, and language. The team will also develop visualization tools and explore predictive models that link brain connectivity patterns to behavior, contributing to both neuroscience research and potential clinical insights.
Project Lead: Dr. Andrew M. Michael
