Vince Calhoun, PhD

My interests center on the development of analysis methods for better understanding noisy and complex brain imaging data. I have developed data-driven algorithms that map the dynamic networks of brain function, structure, and genetics and how these networks are impacted by stimulation resulting from various tasks or by the incidence of mental illness. These approaches are especially well-suited to naturalistic paradigms like driving tasks, movies, or weakly controlled studies like resting connectivity. I have released multiple software toolboxes implementing these algorithms which have been downloaded by over 13,000 unique individuals and have developed a sophisticated neuroinformatics approach to data capture and archiving, analysis, and data sharing which currently houses over 40,000 brain imaging data sets. I have also overseen the development of COINSTAC and associated tools over the past 3 years. The approaches we developed for multimodal data fusion are in wide use, with many publications using our approach appearing from groups outside the lab. My expertise in image analysis and fusion of different brain imaging data and behavioral/clinical data as well as neuroinformatics will be an excellent fit for this project.