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Jessica Bernard

Jessica Bernard
Assistant Professor
Areas of Speciality
  • Cognition & Cognitive Neuroscience
  • Psychology 209
Professional Links
Office Hours
Fall 2019/ Tuesday 9:30am-10:30am, Wednesday 11:30am-12:30pm
Assistant Professor

Research Interests

Dr. Bernard’s work seeks to understand how the cerebellum contributes to both motor and cognitive behavior. The cerebellum is located at the bottom and back of the brain, and is important for coordinating motor behavior as well as our thoughts. She completed her PhD at the University of Michigan in 2012, and followed this with a post-doctoral fellowship at the University of Colorado Boulder. She is the director of the Lifespan Cognitive and Motor Neuroimaging Laboratory. The goal of her work is to better characterize cerebellar changes over time with age, in conjunction with understanding how the cerebellum interacts with the rest of the brain. However, there are differences in this structure in older adults, and this is related to how older individuals perform both motor and cognitive tasks. In addition, Dr. Bernard is interested in better understanding cerebellar contributions to cognition more broadly. Increasingly, a role for the cerebellum in non-motor behavior has been demonstrated, but how exactly the cerebellum is contributing, and its contributions relative to the rest of the brain remain unknown. She is trying to discern the relative contributions of the cerebellum and prefrontal cortex to cognitive behaviors, to create better models and theories about behavioral performance. Finally, Dr. Bernard also has a line of research investigating contributions of the cerebellum to psychosis and the development of psychotic disorders.

Recent Publications

Bernard, J.A. & Orr, J.M. (2017). Neuroimaging Biomarkers of Psychopathology: A Silver Bullet for Prediction, or Too Soon to Tell? Journal of Ethics in Mental Health, 10, 1-12.

Osborn, K.J., Bernard, J.A., Gupta, T., Dean, D.J., Millman, Z., Vargas, T., Ristanovic, I., Schiffman, J., & Mittal, V.A. (2017). Beat Gestures and Postural Control in Youth at Ultrahigh Risk for Psychosis. Schizophrenia Research, 185, 197-199.

Mittal, V.A., Bernard, J.A., & Northoff, G. (2017). A circuit-based perspective of motor research in psychiatric disorders. Schizophrenia Bulletin, 43(5), 949-955.

Bernard, J.A., Goen, J.R.M., Maldonado, T. (2017). A Case for Motor Network Contributions to Psychosis Symptoms: Evidence from Resting State Connectivity. Human Brain Mapping, 38(9), 4535-4545.

Bernard, J.A., Orr, J.M., & Mittal, V.A. (2017). Cerebello-thalamo-cortical networks predict positive symptom progression in individuals at ultra-high risk for psychosis. Neuroimage: Clinical, 14, 622-628.

Bernard, J.A., Russell, C.E., Newberry, R.E., Goen, J.R.M., Mittal, V.A. (2017). Patients with schizophrenia show aberrant patterns of basal ganglia activation: evidence from ALE meta-analysis. NeuroImage: Clinical, 14, 450-463.

Gupta, T., Dean, D.J., Kelley, N.J., Bernard, J.A., Ristanovic, I., & Mittal, V.A. (2018). Cerebellar transcranial direct current stimulation (tDCS) improves procedural learning in nonclinical psychosis: a double-blind crossover study. Schizophrenia Bulletin. 44, 1373-1380.

Dean, D.J., Walther, S., Bernard, J.A., & Mittal, V.A. (2018). Motor clusters reveal differences in risk for psychosis, cognitive function, and functional connectivity: evidence for vulnerability subtypes. Clinical Psychological Science, 6, 721-734.

Bernard, J.A., Orr, J.M., Dean, D.J., & Mittal, V.A. (2018). The cerebellum and learning of non-motor associations in individuals at clinical-high risk for psychosis. Neuroimage: Clinical, 19, 137-146.

Clark, S.V., Ahmadi, A., Bernard, J.A., Mittal, V.A., & Turner, J.A. (2018). Stronger default mode network connectivity is associated with poorer clinical insight in adolescents at ultra-high risk for psychosis. Schizophrenia Research, 193, 244-250.