Lawrence Gregory Appelbaum
Associate Professor in Psychiatry and Behavioral Sciences
Education & Training
Ph.D., University of California at Irvine 2004
Greg Appelbaum is an Associate Professor in the Department of Psychiatry and Behavioral Sciences in the Duke University School of Medicine. He is a member of the Brain Stimulation Division of Psychiatry, where he directs the Human Performance Optimization lab (Opti Lab) and the Brain Stimulation Research Center. Dr. Appelbaum core member of the Center for Cognitive Neuroscience, holds a secondary appointment in the Department of Psychology and Neuroscience, and is a member of the Duke Institute for Brain Sciences where he teaches and advises in the Neuroscience major.
Dr. Appelbaum's research interests primarily concern the brain mechanisms underlying visual cognition, how these capabilities differ among individuals, and how they can be improved through behavioral, neurofeedback, and neuromodulation interventions. Within the field of cognitive neuroscience, his research has addressed visual perception, sensorimotor function, executive function, decision-making, and learning/expertise. In this research, he has utilized a combination of behavioral psychophysics coupled with the neuroscience techniques of electroencephalography (EEG), transcranial magnetic stimulation (TMS), functional magnetic resonance imaging (fMRI), and functional near infrared spectroscopy (fNIRS).
Klemish, David, et al. “Visual abilities distinguish pitchers from hitters in professional baseball.” J Sports Sci, vol. 36, no. 2, Jan. 2018, pp. 171–79. Pubmed, doi:10.1080/02640414.2017.1288296. Full Text
Rao, Hrishikesh M., et al. “Sensorimotor Learning during a Marksmanship Task in Immersive Virtual Reality.” Front Psychol, vol. 9, 2018, p. 58. Pubmed, doi:10.3389/fpsyg.2018.00058. Full Text Open Access Copy
Devyatko, Dina, et al. “A Common Mechanism for Perceptual Reversals in Motion-Induced Blindness, the Troxler Effect, and Perceptual Filling-In.” Perception, vol. 46, no. 1, Jan. 2017, pp. 50–77. Pubmed, doi:10.1177/0301006616672577. Full Text Open Access Copy
van den Berg, Berry, et al. “Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity.” Sci Rep, vol. 6, Nov. 2016, p. 37718. Pubmed, doi:10.1038/srep37718. Full Text Open Access Copy
Krasich, Kristina, et al. “Sensorimotor Learning in a Computerized Athletic Training Battery.” J Mot Behav, vol. 48, no. 5, Sept. 2016, pp. 401–12. Pubmed, doi:10.1080/00222895.2015.1113918. Full Text Open Access Copy
Zielinski, D. J., et al. “Evaluating the effects of image persistence on dynamic target acquisition in low frame rate virtual environments.” 2016 Ieee Symposium on 3d User Interfaces, 3dui 2016 Proceedings, Apr. 2016, pp. 133–40. Scopus, doi:10.1109/3DUI.2016.7460043. Full Text Open Access Copy
Donohue, Sarah E., et al. “The neural dynamics of stimulus and response conflict processing as a function of response complexity and task demands.” Neuropsychologia, vol. 84, Apr. 2016, pp. 14–28. Pubmed, doi:10.1016/j.neuropsychologia.2016.01.035. Full Text Open Access Copy
San Martín, René, et al. “Cortical Brain Activity Reflecting Attentional Biasing Toward Reward-Predicting Cues Covaries with Economic Decision-Making Performance.” Cereb Cortex, vol. 26, no. 1, Jan. 2016, pp. 1–11. Pubmed, doi:10.1093/cercor/bhu160. Full Text Open Access Copy
Wang, Lingling, et al. “Mapping the structure of perceptual and visual-motor abilities in healthy young adults.” Acta Psychologica, vol. 157, May 2015, pp. 74–84. Epmc, doi:10.1016/j.actpsy.2015.02.005. Full Text Open Access Copy
Clark, Kait, et al. “Improvement in visual search with practice: mapping learning-related changes in neurocognitive stages of processing.” J Neurosci, vol. 35, no. 13, Apr. 2015, pp. 5351–59. Pubmed, doi:10.1523/JNEUROSCI.1152-14.2015. Full Text Open Access Copy