Lawrence Gregory Appelbaum
Associate Professor in Psychiatry and Behavioral Sciences
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).
Identifying the Optimal Neural Target for Misophonia Interventions awarded by (Co Investigator). 2019 to 2021
Impact of Timing, Targeting, and Brain State on rTMS of Human and Non-Human Primates awarded by National Institutes of Health (Co Investigator). 2017 to 2021
Transcranial magnetic stimulation with enhanced focality and depth (fdTMS) awarded by National Institutes of Health (Advisor). 2017 to 2021
Quiet TMS: A Low-Acoustic-Noise Transcranial Magnetic Stimulation System awarded by National Institutes of Health (Co Investigator). 2016 to 2021
Using fMRI-guided TMS to increase central executive function in older adults awarded by National Institutes of Health (Principal Investigator). 2015 to 2021
Neurophysiology and Cognitive Neuroscience (8.4): Sensorimotor Function in Elite Soldiers and Athletes awarded by Department of Defense (Principal Investigator). 2015 to 2021
Accurate and reliable computational dosimetry and targeting for transcranial magnetic stimulation awarded by National Institutes of Health (Collaborator). 2019 to 2020
Tracking Neurological Function in Warrior-Athletes: A Multidisciplinary Approach awarded by University of North Carolina - Chapel Hill (Principal Investigator). 2014 to 2015
Studies of Attention Using Combined ERPs and fMRI awarded by National Institutes of Health (Postdoctoral Associate). 2001 to 2015
Gamboa, Olga Lucia, et al. “Application of long-interval paired-pulse transcranial magnetic stimulation to motion-sensitive visual cortex does not lead to changes in motion discrimination.” Neurosci Lett, vol. 730, June 2020, p. 135022. Pubmed, doi:10.1016/j.neulet.2020.135022. Full Text Open Access Copy
Crowell, C. A., et al. “Older adults benefit from more widespread brain network integration during working memory.” Neuroimage, vol. 218, May 2020, p. 116959. Pubmed, doi:10.1016/j.neuroimage.2020.116959. Full Text Open Access Copy
Cox, Morgan L., et al. “Utilizing transcranial direct current stimulation to enhance laparoscopic technical skills training: A randomized controlled trial.” Brain Stimul, vol. 13, no. 3, May 2020, pp. 863–72. Pubmed, doi:10.1016/j.brs.2020.03.009. Full Text Open Access Copy
Beynel, Lysianne, et al. “Site-Specific Effects of Online rTMS during a Working Memory Task in Healthy Older Adults.” Brain Sci, vol. 10, no. 5, Apr. 2020. Pubmed, doi:10.3390/brainsci10050255. Full Text Open Access Copy
Young, Jonathan R., et al. “Non-invasive brain stimulation modalities for the treatment and prevention of opioid use disorder: a systematic review of the literature.” J Addict Dis, vol. 38, no. 2, Apr. 2020, pp. 186–99. Pubmed, doi:10.1080/10550887.2020.1736756. Full Text Open Access Copy
Burris, Kyle, et al. “Visual-motor expertise in athletes: Insights from semiparametric modelling of 2317 athletes tested on the Nike SPARQ Sensory Station.” J Sports Sci, vol. 38, no. 3, Feb. 2020, pp. 320–29. Pubmed, doi:10.1080/02640414.2019.1698090. Full Text Open Access Copy
Beynel, Lysianne, et al. “Effects of online repetitive transcranial magnetic stimulation (rTMS) on cognitive processing: A meta-analysis and recommendations for future studies.” Neurosci Biobehav Rev, vol. 107, Dec. 2019, pp. 47–58. Pubmed, doi:10.1016/j.neubiorev.2019.08.018. Full Text Open Access Copy
Teel, Elizabeth F., et al. “A Randomized Controlled Trial Investigating the Feasibility and Adherence to an Aerobic Training Program in Healthy Individuals.” J Sport Rehabil, vol. 28, no. 7, Sept. 2019, pp. 692–98. Pubmed, doi:10.1123/jsr.2018-0007. Full Text
Addicott, Merideth A., et al. “Low- and High-Frequency Repetitive Transcranial Magnetic Stimulation Effects on Resting-State Functional Connectivity Between the Postcentral Gyrus and the Insula.” Brain Connect, vol. 9, no. 4, May 2019, pp. 322–28. Pubmed, doi:10.1089/brain.2018.0652. Full Text Open Access Copy
Beynel, L., et al. “Online repetitive transcranial magnetic stimulation during working memory in younger and older adults: A randomized within-subject comparison.” Plos One, vol. 14, no. 3, 2019, p. e0213707. Pubmed, doi:10.1371/journal.pone.0213707. Full Text Open Access Copy
Clements, J. M., et al. “Neurophysiology of Visual-Motor Learning during a Simulated Marksmanship Task in Immersive Virtual Reality.” 25th Ieee Conference on Virtual Reality and 3d User Interfaces, Vr 2018 Proceedings, 2018, pp. 451–58. Scopus, doi:10.1109/VR.2018.8446068. 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.” Proceedings Ieee Virtual Reality, vol. 2016-July, 2016, pp. 319–20. Scopus, doi:10.1109/VR.2016.7504782. Full Text
Donohue, Sarah E., et al. “THE EFFECTS OF RESPONSE NUMBER AND TASK ON THE ELECTROPHYSIOLOGICAL CORRELATES OF CONFLICT PROCESSING.” Journal of Cognitive Neuroscience, MIT PRESS, 2013, pp. 102–102.
Martin, Rene San, et al. “NEURAL SIGNATURES OF VALUE-DRIVEN ATTENTIONAL CAPTURE PREDICT INDIVIDUAL DIFFERENCES IN ECONOMIC CHOICE.” Journal of Cognitive Neuroscience, MIT PRESS, 2013, pp. 208–208.