Vaughn R Steele, PhD

• Godfrey Pearlson
• Michael Stevens
• Michal Assaf

Electroencephalography; Magnetic Resonance Imaging; Event-Related Potentials, P300; Substance-Related Disorders; Transcranial Magnetic Stimulation

• Brain potentials measured during a Go/NoGo task predict completion of substance abuse treatment.Steele VR, Fink BC, Maurer JM, Arbabshirani MR, Wilber CH, Jaffe AJ, Sidz A, Pearlson GD, Calhoun VD, Clark VP, Kiehl KA. Brain potentials measured during a Go/NoGo task predict completion of substance abuse treatment. Biological Psychiatry 2014, 76:75-83.
• Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.Steele VR, Maurer JM, Arbabshirani MR, Claus ED, Fink BC, Rao V, Calhoun VD, Kiehl KA. Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion. Biological Psychiatry : Cognitive Neuroscience And Neuroimaging 2018, 3:141-149.
• Accelerated Intermittent Theta-Burst Stimulation as a Treatment for Cocaine Use Disorder: A Proof-of-Concept Study.Steele VR, Maxwell AM, Ross TJ, Stein EA, Salmeron BJ. Accelerated Intermittent Theta-Burst Stimulation as a Treatment for Cocaine Use Disorder: A Proof-of-Concept Study. Frontiers In Neuroscience 2019, 13:1147.
• Neuroimaging measures of error-processing: Extracting reliable signals from event-related potentials and functional magnetic resonance imaging.Steele VR, Anderson NE, Claus ED, Bernat EM, Rao V, Assaf M, Pearlson GD, Calhoun VD, Kiehl KA. Neuroimaging measures of error-processing: Extracting reliable signals from event-related potentials and functional magnetic resonance imaging. NeuroImage 2016, 132:247-260.
• Transcranial electrical and magnetic stimulation (tES and TMS) for addiction medicine: A consensus paper on the present state of the science and the road ahead.Ekhtiari H, Tavakoli H, Addolorato G, Baeken C, Bonci A, Campanella S, Castelo-Branco L, Challet-Bouju G, Clark VP, Claus E, Dannon PN, Del Felice A, den Uyl T, Diana M, di Giannantonio M, Fedota JR, Fitzgerald P, Gallimberti L, Grall-Bronnec M, Herremans SC, Herrmann MJ, Jamil A, Khedr E, Kouimtsidis C, Kozak K, Krupitsky E, Lamm C, Lechner WV, Madeo G, Malmir N, Martinotti G, McDonald WM, Montemitro C, Nakamura-Palacios EM, Nasehi M, Noël X, Nosratabadi M, Paulus M, Pettorruso M, Pradhan B, Praharaj SK, Rafferty H, Sahlem G, Salmeron BJ, Sauvaget A, Schluter RS, Sergiou C, Shahbabaie A, Sheffer C, Spagnolo PA, Steele VR, Yuan TF, van Dongen JDM, Van Waes V, Venkatasubramanian G, Verdejo-García A, Verveer I, Welsh JW, Wesley MJ, Witkiewitz K, Yavari F, Zarrindast MR, Zawertailo L, Zhang X, Cha YH, George TP, Frohlich F, Goudriaan AE, Fecteau S, Daughters SB, Stein EA, Fregni F, Nitsche MA, Zangen A, Bikson M, Hanlon CA. Transcranial electrical and magnetic stimulation (tES and TMS) for addiction medicine: A consensus paper on the present state of the science and the road ahead. Neuroscience And Biobehavioral Reviews 2019, 104:118-140.
• Reward Circuitry and Drug AddictionSteele, V. R., Pariyadath, V., Goldstein, R. Z., & Stein, E. A. (2018). Reward Circuitry and Drug Addiction. In D.S. Charney, P. Sklar, J.D. Buxbaum, & E. J. Nestler (Ed.) Neurobiology of Mental Illness (pp. 587-600). Oxford University Press.
• Addiction: Informing drug abuse interventions with brain networks.Steele, V. R., Ding, X., & Ross, T. J. (2019). Addiction: Informing drug abuse interventions with brain networks. In B.C. Munsell, G. Wu, L. Bonilha, & P.J. Laurienti (Ed.) Connectomics: Applications to Neuroimaging (pp. 101-123). Elsevier.
• A large scale (N=102) functional neuroimaging study of response inhibition in a Go/NoGo task.Steele VR, Aharoni E, Munro GE, Calhoun VD, Nyalakanti P, Stevens MC, Pearlson G, Kiehl KA. A large scale (N=102) functional neuroimaging study of response inhibition in a Go/NoGo task. Behavioural Brain Research 2013, 256:529-36.
• A large scale (N=102) functional neuroimaging study of error processing in a Go/NoGo task.Steele VR, Claus ED, Aharoni E, Harenski C, Calhoun VD, Pearlson G, Kiehl KA. A large scale (N=102) functional neuroimaging study of error processing in a Go/NoGo task. Behavioural Brain Research 2014, 268:127-38.
• Multimodal imaging measures predict rearrest.Steele VR, Claus ED, Aharoni E, Vincent GM, Calhoun VD, Kiehl KA. Multimodal imaging measures predict rearrest. Frontiers In Human Neuroscience 2015, 9:425.
• Separable processes before, during, and after the N400 elicited by previously inferred and new information: evidence from time-frequency decompositions.Steele VR, Bernat EM, van den Broek P, Collins PF, Patrick CJ, Marsolek CJ. Separable processes before, during, and after the N400 elicited by previously inferred and new information: evidence from time-frequency decompositions. Brain Research 2013, 1492:92-107.
• Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders.Steele VR, Rao V, Calhoun VD, Kiehl KA. Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders. NeuroImage 2017, 145:265-273.
• Psychopathy, attention, and oddball target detection: New insights from PCL-R facet scores.Anderson NE, Steele VR, Maurer JM, Bernat EM, Kiehl KA. Psychopathy, attention, and oddball target detection: New insights from PCL-R facet scores. Psychophysiology 2015, 52:1194-204.
• Dysfunctional error-related processing in female psychopathy.Maurer JM, Steele VR, Edwards BG, Bernat EM, Calhoun VD, Kiehl KA. Dysfunctional error-related processing in female psychopathy. Social Cognitive And Affective Neuroscience 2016, 11:1059-68.
• Error-related processing in adult males with elevated psychopathic traits.Steele VR, Maurer JM, Bernat EM, Calhoun VD, Kiehl KA. Error-related processing in adult males with elevated psychopathic traits. Personality Disorders 2016, 7:80-90.