David Gutman, MD, PhD

Share Last Updated: May 20, 2013

Assistant Professor, Biomedical Informatics

Research Summary: Dr. Gutman received his Ph.D. in Neuroscience in 2005 and MD from Emory University in 2005.  Following completion of medical school he completed a residency in Psychiatry in 2009.  Following residency, he has worked as a research scientist in the Center for Comprehensive Informatics (CCI), and is now an assistant professor of biomedical informatics.  Broadly, Dr. Gutman is interested in using digital imaging technologies to answer important questions in neurosciences.  Specifically, his work focuses on mining digital pathology and radiology imaging from glioma patients and correlating imaging based features with genetic and clinical variables.  In addition, he maintains a strong interest in using DTI and MRI based techniques to understand neural circuitry.

His Ph.D. work focuses on investigating the behavioral effects of novel corticotrophin releasing factor receptor antagonists in animal models of depression and anxiety.  Specifically he investigated the compound R121919, a CRF1 receptor selective antagonist.  CRF modules the behavioral and endocrine effects of acute and chronic stress, and his work focused on how acute and chronic treatment with R121919 affected behavioral responses to novel stressors, as well as the biochemical/neuroendocrine effects of long-term CRF receptor antagonist treatment.  One of the focuses of this work was to use in situ hybridization to measure alterations in receptor expression throughout the brain following treatment, as well as measure alterations in HPA axis function.

During his Psychiatry residency, he worked with Dr. Mayberg investigating the neural circuitry of treatment resistant depression.  While his Ph.D. was more focused on "wet lab" based investigations of neural circuitry, Dr. Gutman has had a long interest in using computational approaches to investigate neuroscience questions.  During his residency, he gained additional expertise in MRI postprocessing, image registration, as well as diffusion tensor imaging.  Specifically he focused on mapping out the neurocircuitry associated with acute response to deep brain stimulation of the subcallosal cingulate, which is currently being targeted using deep brain stimulation to treat severe depression.

Following his residency, he obtained a position in CCI as a research scientist, gaining expertise in whole slide digital imaging.  Recent advances in technology now allow histology/pathology glass slides to be digitized and stored, similar to the revolution that has taken place in radiology over the past 20 years where "films" have been rapidly replaced by digital imaging.  Recent development of commercial-grade whole slide scanners has allowed entire pathology slides to be captured and viewed digitally using "virtual microscopes".  Working with colleagues in CCI, Dr. Gutman is implementing computer aided assessments of pathology tissue and radiology images.  Using this quantitative set of imaging features, the goal of this research is to correlate imaging-based descriptors of the tissue with genetic and clinical variables to better understand tumor biology.

May 2013 Podcast: MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set


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