Analyzing neurological disorders using functional and structural brain imaging data

  • Brian Caffo | Johns Hopkins University

In this talk we overview methodology for predicting and analyzing clinical outcomes, especially focusing on neurological disorders, using functional and structural brain imaging data. We focus on resting state functional connectivity data via fMRI as well as structural imaging data via T1 MRI and diffusion weighted MRI. We consider these modalities and variety of methods for feature extraction, prediction and analysis. We apply the methodology to developmental disorders, particularly attention deficit hyperactivity, cognitive impairment and Alzheimer’s disease and multiple sclerosis.

Speaker Details

Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the University of Florida in 2001. He works in the fields of computational statistics and quantitative neuroscience and co-created the SMART (www.smart-stats.org) working group. He has been the recipient of the Presidential Early Career Award for Scientist (PECASE) and Engineers and Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.

    • Portrait of Jeff Running

      Jeff Running

Series: Microsoft Research Talks