Attending Neuroradiologist Associate Professor
Dr. Pratik Mukherjee, M.D., Ph.D. is an Attending Neuroradiologist and an Associate Professor of Radiology and Bioengineering. He currently serves as the principal investigator for an NIH research grant on Macrostructural & Microstructural Imaging Biomarkers of Traumatic Brain Injury and on a collaborative activity award from the McDonnell Foundation on Attentional Dynamics Consortium in Traumatic Brain Injury. Dr. Mukherjee is a member of the California Institute for Quantitative Biosciences. Dr. Mukherjee is also an associate member of the UCB/ UCSF Division of Bioengineering.
Dr. Mukherjee earned a Ph.D. in computational neuroscience from Rockefeller University and a medical degree from Cornell University. He completed a medical internship in the Cornell Medical Center at New York Hospital, and a radiology residency and neuroradiology fellowship at the Mallinckrodt Institute of Radiology at Washington University in St. Louis, MO.
Specialty: Traumatic Brain Injury (TBI)
Functional Magnetic Imaging (fMRI)
Diffusion Tensor Imaging (DTI)
Traumatic Brain Injury (TBI)
Education & Training:
- M.D. Medicine, Cornell University, New York, NY (1988-1995)
- Internal Medicine Internship, New York Hospital Cornell Medical Center (1995-1996)
- Radiology Residency, Washington Univ. Medical Center, St. Louis (1996-2000)
- Neuroradiology Fellowship, Washington Univ. Medical Center, St. Louis (2000-2002)
Missouri State Medical License, 2000
California State Medical License, (2000-Present)
National Board of Medical Examiners Certificate, 1997
American Board of Radiology Certificate, 2000
1. NIH-funded cross-sectional and longitudinal clinical research studies of traumatic brain injury using diffusion tensor imaging (DTI), functional MRI (fMRI), 3D MR spectroscopic imaging, and magnetoencephalography (MEG), with correlation to candidate susceptibility genes and to neurocognitive function (attention, memory, information processing speed, and executive function).
2. Application of multivariate statistical methods, including principal component analysis (PCA), independent component analysis (ICA), and machine learning techniques, to fMRI and DTI for mapping cortical and white matter networks in the normal human brain and in human brain malformations, such as dysgenesis of the corpus callosum.
3. Development of improved DTI and high angular resolution diffusion imaging (HARDI) methodology for in vivo human brain white matter fiber tractography, with application to the graph-theoretic analysis of cortical connectivity.
Awards and Honors:
GE Healthcare MR Thought Leader (2009)
Derek Harwood-Nash Annual Lecture in Neuroradiology, Hospital for Sick Children, Toronto, Canada (2008)
American Society of Neuroradiology, Outstanding Presentation Award in Functional Neuroradiology (2006)
American Society of Neuroradiology, Berlex Best Paper Award in General Neuroradiology (2005)
Neuroradiology Education and Research Foundation, Scholar Award in Neuroradiology Research (2004)
American Society of Neuroradiology, Berlex Award in Basic Science Research (2001)
Radiological Society of North America Roentgen, Resident/Fellow Research Award (1999)
Rockefeller University S. Koide Memorial Fellowship (1994)
National Institutes of Health Medical Scientist Training Program (1988)