Young Adults at Risk for Stimulant Dependence Show Reward Dysfunction During Reinforcement-Based Decision Making
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Elkashef, 2003, Biological markers of cocaine addiction: Implications for medications development, Addict Biol, 8, 123, 10.1080/1355621031000117356
McCabe, 2005, Non-medical use of prescription stimulants among US college students: Prevalence and correlates from a national survey, Addiction, 100, 96, 10.1111/j.1360-0443.2005.00944.x
McCabe, 2007, Drug use related problems among nonmedical users of prescription stimulants: A web-based survey of college students from a Midwestern university, Drug Alcohol Depend, 91, 69, 10.1016/j.drugalcdep.2007.05.010
Kasperski, 2011, College students' use of cocaine: Results from a longitudinal study, Addict Behav, 36, 408, 10.1016/j.addbeh.2010.12.002
Arria, 2008, Drug exposure opportunities and use patterns among college students: Results of a longitudinal prospective cohort study, Subst Abus, 29, 19, 10.1080/08897070802418451
Teter, 2006, Illicit use of specific prescription stimulants among college students: Prevalence, motives, and routes of administration, Pharmacotherapy, 26, 1501, 10.1592/phco.26.10.1501
Ersche, 2008, Chronic cocaine but not chronic amphetamine use is associated with perseverative responding in humans, Psychopharmacology (Berl), 197, 421, 10.1007/s00213-007-1051-1
Franken, 2007, Error-processing deficits in patients with cocaine dependence, Biol Psychol, 75, 45, 10.1016/j.biopsycho.2006.11.003
Paulus, 2002, Behavioral and functional neuroimaging evidence for prefrontal dysfunction in methamphetamine-dependent subjects, Neuropsychopharmacology, 26, 53, 10.1016/S0893-133X(01)00334-7
Bickel, 2007, Behavioral and neuroeconomics of drug addiction: Competing neural systems and temporal discounting processes, Drug Alcohol Depend, 90, S85, 10.1016/j.drugalcdep.2006.09.016
Monterosso, 2007, Frontoparietal cortical activity of methamphetamine-dependent and comparison subjects performing a delay discounting task, Hum Brain Mapp, 28, 383, 10.1002/hbm.20281
Verdejo-Garcia, 2004, Clinical implications and methodological challenges in the study of the neuropsychological correlates of cannabis, stimulant, and opioid abuse, Neuropsychol Rev, 14, 1, 10.1023/B:NERV.0000026647.71528.83
Volkow, 2010, Addiction: Decreased reward sensitivity and increased expectation sensitivity conspire to overwhelm the brain's control circuit, Bioessays, 32, 748, 10.1002/bies.201000042
Goldstein, 2008, Compromised sensitivity to monetary reward in current cocaine users: An ERP study, Psychophysiology, 45, 705, 10.1111/j.1469-8986.2008.00670.x
Garavan, 2000, Cue-induced cocaine craving: Neuroanatomical specificity for drug users and drug stimuli, Am J Psychiatry, 157, 1789, 10.1176/appi.ajp.157.11.1789
Verdejo-Garcia, 2007, [Neuroimaging and drug addiction: Neuroanatomical correlates of cocaine, opiates, cannabis and ecstasy abuse], Rev Neurol, 44, 432
Heil, 2006, Delay discounting in currently using and currently abstinent cocaine-dependent outpatients and non-drug-using matched controls, Addict Behav, 31, 1290, 10.1016/j.addbeh.2005.09.005
Ersche, 2007, The neuropsychology of amphetamine and opiate dependence: Implications for treatment, Neuropsychol Rev, 17, 317, 10.1007/s11065-007-9033-y
Paulus, 2004, Trend detection via temporal difference model predicts inferior prefrontal cortex activation during acquisition of advantageous action selection, Neuroimage, 21, 733, 10.1016/j.neuroimage.2003.09.060
Paulus, 2005, Superior temporal gyrus and insula provide response and outcome-dependent information during assessment and action selection in a decision-making situation, Neuroimage, 25, 607, 10.1016/j.neuroimage.2004.12.055
Li, 2006, Policy adjustment in a dynamic economic game, PLoS One, 1, e103, 10.1371/journal.pone.0000103
Preuschoff, 2008, Human insula activation reflects risk prediction errors as well as risk, J Neurosci, 28, 2745, 10.1523/JNEUROSCI.4286-07.2008
O'Doherty, 2004, Dissociable roles of ventral and dorsal striatum in instrumental conditioning, Science, 304, 452, 10.1126/science.1094285
Knutson, 2005, Functional magnetic resonance imaging of reward prediction, Curr Opin Neurol, 18, 411, 10.1097/01.wco.0000173463.24758.f6
Wrase, 2007, Different neural systems adjust motor behavior in response to reward and punishment, Neuroimage, 36, 1253, 10.1016/j.neuroimage.2007.04.001
Delgado, 2005, An fMRI study of reward-related probability learning, Neuroimage, 24, 862, 10.1016/j.neuroimage.2004.10.002
Satterthwaite, 2007, Dissociable but inter-related systems of cognitive control and reward during decision making: Evidence from pupillometry and event-related fMRI, Neuroimage, 37, 1017, 10.1016/j.neuroimage.2007.04.066
Goldstein, 2007, Subjective sensitivity to monetary gradients is associated with frontolimbic activation to reward in cocaine abusers, Drug Alcohol Depend, 87, 233, 10.1016/j.drugalcdep.2006.08.022
Bolla, 2003, Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task, Neuroimage, 19, 1085, 10.1016/S1053-8119(03)00113-7
Paulus, 2005, Neural activation patterns of methamphetamine-dependent subjects during decision making predict relapse, Arch Gen Psychiatry, 62, 761, 10.1001/archpsyc.62.7.761
American Psychological Association, 1994
Bucholz, 1994, A new, semi-structured psychiatric interview for use in genetic linkage studies: A report on the reliability of the SSAGA, J Stud Alcohol, 55, 149, 10.15288/jsa.1994.55.149
Wechsler, 2001
Oldfield, 1971, The assessment and analysis of handedness: The Edinburgh inventory, Neuropsychologia, 9, 97, 10.1016/0028-3932(71)90067-4
Cox, 1996, AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages, Comput Biomed Res, 29, 162, 10.1006/cbmr.1996.0014
R Development Core Team (2008): R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
Pinheiro, 2011
Reske, 2011, Evidence for subtle verbal fluency deficits in occasional stimulant users: Quick to play loose with verbal rules, J Psychiatr Res, 45, 361, 10.1016/j.jpsychires.2010.07.005
Reske, 2010, Nondependent stimulant users of cocaine and prescription amphetamines show verbal learning and memory deficits, Biol Psychiatry, 68, 762, 10.1016/j.biopsych.2010.04.021
Clatworthy, 2009, Dopamine release in dissociable striatal subregions predicts the different effects of oral methylphenidate on reversal learning and spatial working memory, J Neurosci, 29, 4690, 10.1523/JNEUROSCI.3266-08.2009
Dodds, 2008, Methylphenidate has differential effects on blood oxygenation level-dependent signal related to cognitive subprocesses of reversal learning, J Neurosci, 28, 5976, 10.1523/JNEUROSCI.1153-08.2008
Redish, 2004, Addiction as a computational process gone awry, Science, 306, 1944, 10.1126/science.1102384
Bolla, 2005, Neural substrates of faulty decision-making in abstinent marijuana users, Neuroimage, 26, 480, 10.1016/j.neuroimage.2005.02.012
Vaidya, 2012, Effects of chronic marijuana use on brain activity during monetary decision-making, Neuropsychopharmacology, 37, 618, 10.1038/npp.2011.227