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Alcoholism, Clinical and Experimental Research|March 17, 2012
Acute alcohol effects on contextual memory BOLD response: differences based on fragmentary blackout historyReagan R Wetherill, David M Schnyer, Kim FrommeCurrent Addiction Reports|May 3, 2016
Ovarian hormones, menstrual cycle phase, and smoking: a review with recommendations for future studiesReagan R Wetherill, Teresa R Franklin, Sharon S AllenAddictive Behaviors|February 15, 2014
Sex differences in resting state neural networks of nicotine-dependent cigarette smokersReagan R Wetherill, Kanchana Jagannathan, Joshua Shin, et al.Drug and Alcohol Dependence|October 2, 2012
Atypical neural activity during inhibitory processing in substance-naïve youth who later experience alcohol-induced blackoutsReagan R Wetherill, Norma Castro, Lindsay M Squeglia, et al.Journal of Studies on Alcohol and Drugs|October 16, 2010
Perceived norms for drinking in the transition from high school to college and beyondCynthia A Stappenbeck, Patrick D Quinn, Reagan R Wetherill, et al.Psychopharmacology|July 9, 2013
A longitudinal examination of adolescent response inhibition: neural differences before and after the initiation of heavy drinkingReagan R Wetherill, Lindsay M Squeglia, Tony T Yang, et al.Biology of Sex Differences|May 12, 2016
Influence of menstrual cycle phase on resting-state functional connectivity in naturally cycling, cigarette-dependent womenReagan R Wetherill, Kanchana Jagannathan, Nathan Hager, et al.Drug and Alcohol Dependence|March 23, 2019
Menstrual cycle phase modulates responses to smoking cues in the putamen: Preliminary evidence for a novel targetTeresa R Franklin, Kanchana Jagannathan, Ariel Ketcherside, et al.Experimental and Clinical Psychopharmacology|August 4, 2015
Sex differences in associations between cannabis craving and neural responses to cannabis cues: Implications for treatmentReagan R Wetherill, Kanchana Jagannathan, Nathan Hager, et al.Addiction Biology|June 28, 2018
Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting-state fMRIReagan R Wetherill, Hengyi Rao, Nathan Hager, et al.Pageof 6