Remi Patriat

Remi Patriat, PhD, is an Assistant Professor in the Department of Radiology at the University of Minnesota. His work focuses on advancing neuroimaging techniques, particularly using 7-Tesla MRI, to improve understanding of brain structures and their clinical applications in movement disorders such as Parkinson’s disease and essential tremor. He specializes in deep brain stimulation (DBS) strategies, neural pathway mapping, and the development of precision medical imaging protocols.

Dr. Patriat’s research integrates advanced MRI technologies with clinical neuroscience, emphasizing the anatomical and functional characterization of subcortical nuclei (e.g., thalamus, globus pallidus). His studies explore how DBS modulates neural oscillations and connectivity, particularly in the context of Parkinson’s disease, to optimize therapeutic outcomes. He has contributed to the development of automated segmentation tools for brain structures using machine learning and high-resolution imaging.

His work on 7T MRI applications has addressed challenges in clinical imaging protocols, motion correction algorithms, and the visualization of subnuclear brain regions. He investigates how electrode placement and stimulation parameters in DBS correlate with clinical efficacy, leveraging computational modeling and patient-specific anatomical data.

While no formal scientific awards are listed, his contributions to neuroimaging and DBS research reflect a focus on translational medicine and technological innovation in neurology. His research team collaborates closely with clinical teams to bridge imaging science with surgical and therapeutic advancements.