Principal Investigators //

Dr. Subhadip Paul is a post-doctoral fellow at the laboratory of Prof. Kent A. Kiehl, The Mind Research Network. His research interest is to understand the structural and functional organization of human brain in health and in diseases using computational neuroimaging approaches. He pursued Ph.D. in computational neuroimaging from National Brain Research Centre. He developed a diffusion tensor imaging-based data analyses methodology to detect crossing fibers in the brain tumor patients. He also developed brain imaging guided radiation therapeutic procedure using stochastic dynamical modeling. Using diffusion tensor imaging and resting state fMRI, he also examined how the individual differences in autistic traits are related to the graph-theoretical organization of structural and functional brain networks in neurotypical population. Dr. Paul was a Newton International Fellow at the Institute of Psychiatry, Psychology & Neurosciences, King’s College London, U.K., where he showed how the genetic network organization underlying the morphologies of human brain is related to the morphological variation within the brain using neuroimaging, twin-study design, graph-theory and principal component analysis. He also examined whether the cannabis use related alterations of brain morphologies are cause or effect of cannabis use and how the brain morphologies mediate cannabis use related working memory deficit. He is now working on machine learning based detection of traumatic brain injury using multi-modal neuroimaging datasets.