My research focuses on determining the neural changes associated with neuropsychiatric disorders particularly with an special emphasis on substance use disorders. I integrate computational neuroscience methods to broad applications in neuropsychiatric disorders and preclinical models of mental health disorders. I specifically work in the field of neuroimaging and the recent neuroscience filed of “connectomics.” In this area, we seek to quantitatively identify important insights about brain networks’ physical properties or “connectomes” to gain new insights on behavior and cognition.
To date, my research initiatives have focused on developing and applying quantitative neuroimaging tools to study the brain’s structure and function. Specifically, we merge diffusion and functional MRI with complex network analysis, which is the field of physics devoted to understanding the properties of networks, to reveal topological features of brain connectivity. More recently, we are focused on computational neuroscience approaches to investigate disease-related brain topology, particularly in animal models of substance use disorders.