معرفی
Kate Yurgil serves as Associate Professor and Director of Neuroscience in the Department of Psychological Sciences at Loyola University New Orleans' College of Arts and Sciences, holding the L. Mulry Tetlow Endowed Professorship since joining the faculty in 2014.
Her academic credentials include:
- B.A. in Psychology from Saint Louis University (2005)
- M.S. in Psychological Science from Tulane University (2008)
- Ph.D. in Cognitive Neuroscience from Tulane University (2010)
Dr. Yurgil's research integrates electrophysiological methods (EEG/MEG), neuroimaging, and behavioral paradigms to investigate attentional mechanisms, memory processes, and neural correlates of trauma. Her work focuses on military populations, examining PTSD biomarkers, TBI classification, and resilience factors through longitudinal studies like the Marine Resiliency Project. She employs advanced computational approaches including deep learning for neuroimaging data analysis.
Analysis of her 15 most recent publications reveals consistent emphasis on combat-related mental health using prospective longitudinal designs with military cohorts. Key methodological trends include MEG/EEG for neural oscillation analysis, diffusion tensor imaging for white matter integrity, and machine learning for diagnostic classification - particularly regarding PTSD and mild TBI comorbidity.
Her scientific recognition includes:
- College of Arts & Sciences 2018 Excellence in Teaching Award
Dr. Yurgil teaches core psychology courses including Introduction to Psychology, Research Methods, Cognition, and Sensation & Perception while mentoring students through the Neuroscience and Psychological Sciences programs. Her active research program involves collaboration with the VA Healthcare System and Department of Defense initiatives, though specific grant details aren't provided in source materials.
Her laboratory work centers on electrophysiological assessment of cognitive function in military populations, with recent focus on gamma-band activity analysis and neural network classification of combat-related injuries.
