Robust brain structural connectivity analysis using HCP data

The connection structure in an individual’s brain plays a fundamental role in how the mind responds to everyday tasks and life’s challenges. Modern imaging technology such as diffusion MRI (dMRI) makes it easy to peer into an individual’s brain and collect valuable data to infer the structural connectivity. The difficulty for current statistical analysis of such data is to extract precise and robust connectivity networks from the brain. In this talk, we are presenting a state-of-the-art data processing pipeline to reliably construct structural connectivity from dMRI, including streamline extraction, adaptive streamline compression, and robust connectivity matrix construction. I will also discuss some potential statistical analyses to the extracted data.Non UBCUnreviewedAuthor affiliation: SAMSIResearche