Lawrence Gregory Appelbaum

Lawrence Gregory Appelbaum

Adjunct Associate Professor in the Department of Psychiatry and Behavioral Sciences

External Address: 
Duke Hospital South, 5th Floor, Red Zone, Room 54231, Durham, NC 27710
Internal Office Address: 
9463 Poole St, La Jolla, CA 92037
Phone: 
919.613.7664

Overview

Greg Appelbaum is an Adjunct Associate Professor in the Department of Psychiatry and Behavioral Sciences in the Duke University School of Medicine. 

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). 

Education & Training

  • Ph.D., University of California - Irvine 2004

Selected Grants

Neurophysiology and Cognitive Neuroscience (8.4): Sensorimotor Function in Elite Soldiers and Athletes awarded by Department of Defense (Principal Investigator). 2015 to 2022

Using network-guided TMS to ameliorate memory deficits in early Alzheimer's disease awarded by National Institutes of Health (Co Investigator). 2020 to 2022

Identifying the Optimal Neural Target for Misophonia Interventions awarded by The REAM Foundation (Co Investigator). 2019 to 2022

Quiet TMS: A Low-Acoustic-Noise Transcranial Magnetic Stimulation System awarded by National Institutes of Health (Co Investigator). 2016 to 2022

A High-Performance 3T MRI for Brain Imaging awarded by National Institutes of Health (Major User). 2021 to 2022

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 2022

Transcranial magnetic stimulation with enhanced focality and depth (fdTMS) awarded by National Institutes of Health (Advisor). 2017 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

Accurate and reliable computational dosimetry and targeting for transcranial magnetic stimulation awarded by National Institutes of Health (Collaborator). 2019 to 2020

Pages

Beynel, L., et al. “Neurobiology and neuromodulation of emotion in PTSD.” Emotion in Posttraumatic Stress Disorder: Etiology, Assessment, Neurobiology, and Treatment, 2020, pp. 175–210. Scopus, doi:10.1016/B978-0-12-816022-0.00007-7. Full Text

Jack, J., et al. “Mapping rhetorical topologies in cognitive neuroscience.” Topologies as Techniques for a Post-Critical Rhetoric, 2017, pp. 125–50. Scopus, doi:10.1007/978-3-319-51268-6_7. Full Text

Neacsiu, Andrada D., et al. “Enhancing cognitive restructuring with concurrent fMRI-guided neurostimulation for emotional dysregulation-A randomized controlled trial.J Affect Disord, vol. 301, Mar. 2022, pp. 378–89. Pubmed, doi:10.1016/j.jad.2022.01.053. Full Text

Neacsiu, Andrada D., et al. “Enhancing Cognitive Restructuring with Concurrent Repetitive Transcranial Magnetic Stimulation: A Transdiagnostic Randomized Controlled Trial.Psychother Psychosom, vol. 91, no. 2, 2022, pp. 94–106. Pubmed, doi:10.1159/000518957. Full Text

Dubljević, Veljko, et al. “Diversifying the Bioethics Funding Landscape: The Case of TMS.Am J Bioeth, vol. 22, no. 1, Jan. 2022, pp. 28–30. Pubmed, doi:10.1080/15265161.2021.2001106. Full Text

Beynel, Lysianne, et al. “Network-based rTMS to modulate working memory: The difficult choice of effective parameters for online interventions.Brain Behav, vol. 11, no. 11, Nov. 2021, p. e2361. Pubmed, doi:10.1002/brb3.2361. Full Text

Young, Jonathan R., et al. “Transcranial Magnetic Stimulation Treatment for Smoking Cessation: An Introduction for Primary Care Clinicians.Am J Med, vol. 134, no. 11, Nov. 2021, pp. 1339–43. Pubmed, doi:10.1016/j.amjmed.2021.06.037. Full Text

Liu, Sicong, et al. “Effects of control strategies on the activation of unwanted intrusive thoughts in elite athletes.J Exp Psychol Hum Percept Perform, vol. 47, no. 10, Oct. 2021, pp. 1395–408. Pubmed, doi:10.1037/xhp0000945. Full Text

Laby, Daniel M., and Lawrence Gregory Appelbaum. “Review: Vision and On-field Performance: A Critical Review of Visual Assessment and Training Studies with Athletes.Optom Vis Sci, vol. 98, no. 7, July 2021, pp. 723–31. Pubmed, doi:10.1097/OPX.0000000000001729. Full Text

Fogt, Nick, et al. “Guest Editorial: Visual Function and Sports Performance.Optom Vis Sci, vol. 98, no. 7, July 2021, pp. 669–71. Pubmed, doi:10.1097/OPX.0000000000001717. Full Text

Laby, Daniel M., and Lawrence G. Appelbaum. “Comment on Nascimento et al. Citations Network Analysis of Vision and Sport. Int. J. Environ. Res. Public Health 2020, 17, 7574.Int J Environ Res Public Health, vol. 18, no. 12, June 2021. Pubmed, doi:10.3390/ijerph18126488. Full Text

Liu, Sicong, et al. “Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality.J Cogn Neurosci, vol. 33, no. 7, June 2021, pp. 1253–70. Pubmed, doi:10.1162/jocn_a_01713. Full Text

Pages

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, David J., et al. “Evaluating the Effects of Image Persistence on Dynamic Target Acquisition in Low Frame Rate Virtual Environments.” 2016 Ieee Virtual Reality Posters, 2016.

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.