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Venkatagiri Krishnamurthy, PhD

Assistant Professor
Departments of Neurology & Medicine

Research Scientist
Department of Veterans Affairs

Investigator
Center for Visual and Neurocognitive Rehabilitation

Phone: (404) 321-6111 x207981

Email: venkatagiri@emory.edu

Biography

Venkatagiri “Giri” Krishnamurthy, Ph.D., is an Assistant Professor of Medicine at Emory University, and also a Research Scientist with the U.S. Department of Veterans Affairs. Dr. Krishnamurthy received his Bachelor’s and Master’s degree in Electrical Engineering, and completed his doctoral work from the joint program of Bioengineering at UT Arlington and UT Southwestern Medical Center in Dallas.  He pursued post-doctoral training at the Dept. of Radiology and Imaging Sciences at Emory University.  His engineering foundation in signal and image processing along with his training and interest in cognitive neuroscience and cerebrovascular physiology has put him in a unique position to develop sophisticated data analysis tools and methodologies to enhance our understanding of brain functioning in aging and aging-related neuro-degenerative diseases. He currently has a VA RR&D funded Career Development Award (CDA-2) that is focused on developing multi-modal neuroimaging methodologies to study longitudinal aphasia recovery. As an integral member of the Atlanta VA Center for Visual and Neurocognitive Rehabilitation (CVNR) Neuroimaging Core, Dr. Krishnamurthy’s expertise in MR protocol design, sequence optimization, and design and implementation of analysis pipelines has led him to serve as a co-investigator on several federal funded studies.

Research Areas:

  • Imaging of Cerebrovascular physiology
  • Develop advanced neuroimaging methodologies to:
    • Characterize and mitigate physiological noise from fMRI images
    • Improve sensitization of task and resting-state BOLD signals to account of variability in resting physiology
    • Mitigate task-correlated motion from task fMRI images
  • Develop rehab-specific neuroimaging methodologies to :
    • Quantify biomarkers that informs rehab potential
    • Delineate mechanisms underlying rehab interventions.
  • Multi-modal imaging to delineate the neural and vascular dynamics in early stroke recovery
  • Aphasia neuroimaging

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