Dr. Provenzano’s research focuses primarily in the exploration of MRI methods in the domains of neurology and psychiatry. Specifically, using high resolution non-BOLD fMRI to interrogate small regions within the functionally defined areas of the brain, specifically the hippocampus. Using these high-resolution functional scans, one can apply detected dysfunction to characterize disease states and risk in Alzheimer’s disease, cognitive aging, schizophrenia and others to assess potential risk and therapeutic response. Since analogous techniques can be applied to animal models as well, this allows for translational measurements that can be detected in vivo, non-invasively, and cross-species.

Dr. Provenzano also focuses on large-scale data imaging analysis and imaging informatics. Specifically, obtaining, curating and repurposing existing clinical neuroimaging data and applying newer analytical tools and techniques to extract potentially useful biomarkers. This capitalizes on the availability and recent advances in machine learning methods and the computational infrastructure necessary to process.