Elisabeth Wilde, PhD.
Dr. Elisabeth Wilde is a Health Research Scientist in the US Veterans Affairs Health System (VA Salt Lake City Healthcare System) and Professor in the Department of Neurology at the University of Utah. She also holds an appointment as Associate Professor in the Department of Physical Medicine and Rehabilitation at Baylor College of Medicine. Dr. Wilde is the Director of the Neuroimaging Core for the Department of Defense and Veterans Affairs co-funded Long-term Impact of Military Relevant Brain Injury Consortium (LIMBIC) – Chronic Effects of Neurotrauma Consortium (CENC). Her research interests include the use of advanced forms of neuroimaging to enhance diagnosis and prognosis, monitor recovery and neurodegeneration, evaluate the efficacy of therapeutic intervention, and elucidate aspects of neuroplasticity in traumatic brain injury(TBI) and associated comorbidities. As a clinical neuropsychologist, she has an interest in brain-behavior relationships involving cognitive, neurological, and functional outcome and clinical trials in traumatic brain injury. For the last 23 years, she has worked with patients with traumatic brain injury and concussion across a spectrum of age, severity, and acuity, with a particular interest in Veteran and Active Duty Service Members with concussion or traumatic brain injury. She has participated in over 45 federally-funded clinical projects in TBI, and has authored over 185 peer-reviewed publications. Dr. Wilde has also been actively involved in the International Common Data Elements (CDE) initiative and co-leads the Enhancing Neuroimaging Genetics Meta-analysis (ENIGMA) Working Groups for TBI.
Naomi Goodrich-Hunsaker, PhD
Naomi Goodrich-Hunsaker, Ph.D. is a research associate with the TBI and Concussion Center in the Department of Neurology at the University of Utah. She is also a part of the Neuroimaging Core of the Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC). Her work with LIMBIC-CENC involves evaluating and developing novel pipelines and analytic neuroimaging methods and integrating those outcome variables into larger multidisciplinary datasets.