Edward Bernat

Assistant Professor

Dr. Bernat received his Ph.D. in Clinical Psychology from the University of Michigan, where he also completed an APA-accredited internship and postdoctoral work in Biomedical Engineering. He subsequently served as a Research Associate in Clinical Psychology at the University of Minnesota and then core faculty in Clinical Psychology at Florida State University. Dr. Bernat joined the Psychology faculty at the University of Maryland-College Park in 2013.

Areas of Interest:
  • Emotion, Cognition, Psychopathology, Substance Use, Criminal Behavior
Degrees
  • PhD Clinical Psychology, University of Michigan
  • MA Clinical Psychology, University of Michigan
Doctoral Programs:
  • Clinical
  • Cognitive and Neural Systems (CNS)
Dr. Bernat’s research focuses on brain mechanisms that underlie individual differences in cognitive and affective processing. This involves basic science work developing measures for critical mechanisms, and clinical-translational work assessing how these mechanisms relate to psychopathology and individual differences. Currently funded work includes a focus on substance use among lower SES individuals in a DC-based residential drug treatment facility. Projects there focus on brain mechanisms underlying substance use and psychopathology, and change in these mechanisms during drug, alcohol, and smoking cessation treatment. Emerging transdiagnostic (dimensional) models of psychopathology play a prominent role in the inferences involved in this work. The most common model involves three primary factors: 1) impulse control (externalizing) problems such as substance dependence, antisocial behavior, and psychopathy, 2) internalizing problems involving anxiety and depression, and 3) the shared variance between internalizing and externalizing (referred to as a psychopathology factor; p-factor). This parsimonious model provides reduced complexity when relating psychopathology to brain mechanisms. More importantly, however, this offers empirically-based approaches to identifying potential neurobiological factors underlying multiple related or comorbid clinical problems. We have recently applied this modeling approach to clinical interview data from the DC-based residential drug treatment facility we are collaborating with, providing important information about the nature of psychopathology related to substance use. A primary methodological focus is on advanced time-frequency decomposition techniques employed with EEG/ERP data. This includes amplitude measures that can delineate active brain regions and functional connectivity measures to characterize dynamic communication between brain regions. A major current methodological focus is on developing higher resolution time-frequency representations of event-related functional connectivity, dynamically as it unfolds. To bring better spatial resolution, further integration between these EEG/ERP decomposition approaches and MRI/fMRI neuroimaging data is currently being advanced, including a new simultaneous EEG/fMRI system we are employing at the Maryland Neuroimaiging Center (MNC).
International Associate Editor, International Journal of Psychophysiology
Related Students (Listed by Student on Student's Profile)
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BPS 3123E
Department of Psychology
Phone: (301) 405-8374
Email: ebernat@umd.edu