Principal Investigators //
- Kareem Al-Khalil, PhD >
- Nathaniel Anderson, PhD >
- Vince Calhoun, PhD >
- Felicha Candelaria-Cook, PhD >
- Arvind Caprihan, PhD >
- Fadwa Cazala, PhD >
- Vince Clark, PhD >
- Eric D. Claus, PhD >
- Aparna Gullapalli, PhD >
- Faith Hanlon, PhD >
- Carla Harenski, PhD >
- Jon Houck, Ph.D. >
- Kent Hutchison, PhD >
- Kent A. Kiehl, PhD >
- Jeffrey D. Lewine, PhD >
- J. Michael Maurer, PhD >
- Andrew R. Mayer, PhD >
- Subhadip Paul, PhD
- John Phillips, MD >
- Carlos Rodriguez, PhD >
- Sephira Ryman, PhD, MS >
- Veronik Sicard, PhD >
- Julia M. Stephen, PhD >
- David B. Stone, PhD >
- Andrei Vakhtin, Ph.D. >
- Claire E. Wilcox, MD >
Subhadip Paul, PhD
Postdoctoral Fellow

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.
Selected Publications //
- Network organization of co-opetitive genetic influences on morphologies of the human cerebral cortex >
- Does thinner right entorhinal cortex underlie genetic liability to cannabis use? >
- Patterning of corpus callosum integrity in glioma observed by MRI: effect of 2D bi-axial lamellar brain architecture >
- ging alterations in whole-brain networks during adulthood mapped with the minimum spanning tree indices: the interplay of density, connectivity cost and life-time trajectory >
- The consequence of day-to-day stochastic dose deviation from the planned dose in fractionated radiation therapy >
- The effect of stochastic fluctuation in radiation dose-rate on cell survival following fractionated radiation therapy >
- Youth with elevated psychopathic traits exhibit structural integrity deficits in the uncinate fasciculus >