Dr. Greg Hajcak
Professor of Biomedical Sciences, Psychology & Neuroscience
- Biomedical Sciences and Psychology
- PDB B439
- 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. Some of my work is basic in nature – intending to clarify the measurement and key mechanisms of emotion-cognition interactions. As a clinical psychophysiologist, I leverage these neurobiological and psychophysiological measures to better understand individual differences in anxiety, depression, and psychosis in terms of abnormal affective-cognitive processes. Because neurobiological and psychophysiological measures are often understood in terms of ‘biomarkers’ of disease-related processes, I am increasingly examining the psychometric properties of these measures. 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, and can neural measures of risk be modified?
- 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. Some of our projects examine whether neural response to reward can be altered by cognitive training and brain stimulation. We are also examining similar questions in terms of how the brain responds to emotional stimuli.
- Recent Publications
Nelson BD, Jackson F, Amir N, Hajcak G, Attention bias modification reduces neural correlates of response monitoring, Biol Psychol., 2017 PubMed Hajcak G, Meyer A, Kotov R, Psychometrics and the neuroscience of individual differences: Internal consistency limits between-subjects effects, J Abnormal Psychol, 2017 PubMed Nelson BD, Perlman G, Klein DN, Kotov R, Hajcak G, Blunted neural response to rewards as a propective predictor of the development of depression in adolescent girls, Am J Psychiatry, 2016 PubMed Speed BC, Nelson BD, Auerbach RP, Klein DN, Hajcak G, Depression risk and electrocortical reactivity during self-referential emotional processing in 8 to 14 year-old girls, J Abnormal Psychol, 2016 PubMed Weinberg A, Perlman G, Kotov R, Hajcak G, Depression and reduced neural response to emotional images: Distinction from anxiety, and importance of symptom dimensions and age of onset, J Abnorm Psychol, 2016 PubMed
Jonathan Ryan, Graduate Student