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Clinical, Faculty, Neuroscience
Hajcak'

Dr. Greg Hajcak


University of Delaware, 2006

     
 
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Dr. Hajcak will be accepting a graduate student for Fall 2018 admission.

Research Interests

My work utilizes a range of psychophysiological and neurobiological measures (i.e., event-related brain potentials or ERPs, functional magnetic resonance imagining or fMRI, startle reflex, pupillometry, eye tracking, heart rate, and skin conductance) to understand cognition, emotion, and psychopathology. As a clinical psychophysiologist, I leverage these neurobiological and psychophysiological measures to better understand individual differences in anxiety and depression in terms of abnormal affective-cognitive processes. The major thrust of my current research program is on prediction and modification: To what degree can neuroscience and psychophysiology predict changes in symptoms over time? Can neural measures of risk be modified? Does modifying these measures matter?



Current Research

Our work focuses on the intersection between neuroscience and psychopathology – how the brain can be used to study individual differences. We're currently working on a range of projects--and many focus on neural measures of reward, as reflected in event-related brain potentials and functional magnetic resonance imaging. We are interested in how pubertal development and hormones impact reward sensitivity, especially in relation to individual differences in depression and depressive symptoms. We are also examining reward-related neural activity in relation to postpartum depression. Some of our projects examine whether neural activity can be altered by computer-based cognitive training, and we are examining similar questions related to brain stimulation. For a more complete description of our work, please see the lab website.



Selected Publications


Hajcak, G., Meyer, A., & Kotov, R. (in press).  Psychometrics and the neuroscience of individual differences:  Internal consistency limits between-subjects effects.  Journal of Abnormal Psychology.

Nelson, B. D., Infantolino, Z. P., Klein, D. N., Perlman, G., Kotov, R., & Hajcak, G. (in press). Time-frequency reward-related delta prospectively predicts adolescent-onset depression. Biological Psychiatry: Cognitive Neuroscience & Neuroimaging.

Luking, K.R., Nelson, B.D., Infantolino, Z.P., Sauder, C.L., & Hajcak, G. (2017). Internal Consistency of Functional Magnetic Resonance imaging and Electroencephalography Measures of Reward in Late Childhood and Early Adolescence. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(3), 289-297.

Nelson, B.D., Perlman, G., Klein, D.N., Kotov, R., & Hajcak, G. (2016). Blunted Neural Response to Rewards as a Prospective Predictor of the Development of Depression in Adolescent Girls. American Journal of Psychiatry, 173(12), 1223-1230

Weinberg, A., Perlman, G., Kotov, R., & Hajcak, G. (2016). Depression and reduced neural response to emotional images: Distinction from anxiety, and importance of symptom dimensions and age of onset.  Journal of Abnormal Psychology, 125(1), 26-39.

Nelson, B., Jackson, F., Amir, N., & Hajcak, G. (2015). Single-session attention bias modification and error-related brain activity. Cognitive, Affective, & Behavioral Neuroscience, 15(4), 776-786.


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