Neuroeconomics and adolescent substance abuse: individual differences in neural networks and delay discounting
Open accessAbstract
Objective Many adolescents with substance use problems show poor response to evidence-based treatments. Treatment outcome has been associated with individual differences in impulsive decision making as reflected by delay discounting (DD) rates (preference for immediate rewards). Adolescents with higher rates of DD were expected to show greater neural activation in brain regions mediating impulsive/habitual behavioral choices and less activation in regions mediating reflective/executive behavioral choices.Method Thirty adolescents being treated for substance abuse completed a DD task optimized to balance choices of immediate versus delayed rewards, and a control condition accounted for activation during magnitude valuation. A group independent component analysis on functional magnetic resonance imaging time courses identified neural networks engaged during DD. Network activity was correlated with individual differences in discounting rate.Results Higher discounting rates were associated with diminished engagement of an executive attention control network involving the dorsolateral prefrontal cortex, dorsomedial prefrontal cortex, inferior parietal cortex, cingulate cortex, and precuneus. Higher discounting rates also were associated with less deactivation in a "bottom-up" reward valuation network involving the amygdala, hippocampus, insula, and ventromedial prefrontal cortex. These 2 networks were significantly negatively correlated.Conclusions Results support relations between competing executive and reward valuation neural networks and temporal decision making, an important, potentially modifiable risk factor relevant for the prevention and treatment of adolescent substance abuse. Clinical trial registration information-The Neuroeconomics of Behavioral Therapies for Adolescent Substance Abuse, http://clinicaltrials.gov/, NCT01093898.
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Promotion of executive maturity may be an effective intervention for adolescents at risk for SUD.
“Promotion of executive maturity may be an effective intervention for adolescents at risk for SUD (Stanger et al., 2013).”
From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Stanger et al., 2013
Numerous studies have examined delayed reward discounting in substance use disorder.
“Delayed reward discounting is a behavioural economic index of impulsivity and numerous studies have examined delayed reward discounting in substance use disorder [33, 34].”
From P300 and delay-discounting in obsessive–compulsive disorder (2022) · cites this paper as [34]
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Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 1× · see citing works
“Adolescents show maturation similar to adults in limbic and paralimbic “bottom-up” brain regions that function with respect to primary reinforcers(11,12) and slower maturation of the “top-down” frontal cortex and PFC, which regulate executive function and decision making.(11,13) This asymmetric development is theorize…”
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · see citing works
Sobell, L. C., & Sobell, M. B. (1992) · Measuring Alcohol Consumption · doi:10.1007/978-1-4612-0357-5_3 · Cited by 4,110 · see citing works
Separate neural systems value immediate and delayed monetary rewards
McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1100907 · Cited by 3,089 · see citing works
A method for making group inferences from functional MRI data using independent component analysis
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1048 · Cited by 2,994 · see citing works
Development of the adolescent brain: implications for executive function and social cognition
Blakemore, S., & Choudhury, S. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01611.x · Cited by 2,328 · see citing works
An adjusting procedure for studying delayed reinforcement.
Mazur, J. E. (1987) · doi:10.4324/9781315825502-11 · Cited by 2,189 · see citing works
Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective
Bechara, A. (2005) · Nature Neuroscience · doi:10.1038/nn1584 · Cited by 2,149 · see citing works
Self-Control in Decision-Making Involves Modulation of the vmPFC Valuation System
Hare, T. A., Camerer, C. F., & Rangel, A. (2009) · Science · doi:10.1126/science.1168450 · Cited by 1,928 · see citing works
Frackowiak, R. S. J. (1997) · Cited by 1,713 · see citing works
Ridderinkhof, K. R., van den Wildenberg, W. P. M., Segalowitz, S. J., & Carter, C. S. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.09.016 · Cited by 1,407 · see citing works
Age differences in future orientation and delay discounting
Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009) · Child Development · doi:10.1111/j.1467-8624.2008.01244.x · Cited by 1,237 · see citing works
Discounting of Delayed Rewards: A Life-Span Comparison
Green, L., Fry, A. F., & Myerson, J. (1994) · Psychological Science · doi:10.1111/j.1467-9280.1994.tb00610.x · Cited by 1,165 · see citing works
Timeline Follow-Back: A Technique for Assessing Self-Reported Alcohol Consumption
Sobell, L. C., & Sobell, M. B. (1992) · NSUWorks (Nova Southeastern University) · Cited by 779 · see citing works
Remember the Future: Working Memory Training Decreases Delay Discounting Among Stimulant Addicts
Bickel, W. K., Yi, R., Landes, R. D., Hill, P. F., & Baxter, C. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.08.017 · Cited by 704 · see citing works
The neural mechanisms of inter-temporal decision-making: understanding variability
Peters, J., & Büchel, C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.03.002 · Cited by 693 · see citing works
Braking and accelerating of the adolescent brain
Casey, B. J., Jones, R. M., & Somerville, L. H. (2011) · Journal of Research on Adolescence · doi:10.1111/j.1532-7795.2010.00712.x · Cited by 621 · see citing works
Bickel, W. K., Miller, M. L., Yi, R., Kowal, B. P., Lindquist, D. M., & Pitcock, J. A. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.09.016 · Cited by 571 · see citing works
Risk-taking and the adolescent brain: Who is at risk?
Galvan, A., Hare, T., Voss, H., Glover, G., & Casey, B. J. (2007) · Developmental Science · doi:10.1111/j.1467-7687.2006.00579.x · Cited by 568 · see citing works
Adolescent risky decision-making: Neurocognitive development of reward and control regions
Van Leijenhorst, L., Moor, B. G., Op de Macks, Z. A., Rombouts, S. A. R. B., Westenberg, P. M., & Crone, E. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.038 · Cited by 467 · cited 1× · see citing works
“These results were consistent with a study showing that higher risk taking on a gambling task was associated with decreased activity in control-related regions in the dorsal medial PFC and greater activity in reward (valuation) regions in the vmPFC in nonreferred adolescents.(33) In the present study, similar relation…”
Shamosh, N. A., DeYoung, C. G., Green, A. E., Reis, D. L., Johnson, M. R., Conway, A. R. A., Engle, R. W., Braver, T. S., & Gray, J. R. (2008) · Psychological Science · doi:10.1111/j.1467-9280.2008.02175.x · Cited by 452 · see citing works
Krishnan-Sarin, S., Reynolds, B., Duhig, A. M., Smith, A., Liss, T., McFetridge, A., Cavallo, D. A., Carroll, K. M., & Potenza, M. N. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.09.006 · Cited by 436 · see citing works
Human Striatal Responses to Monetary Reward Depend On Saliency
Zink, C. F., Pagnoni, G., Martin-Skurski, M. E., Chappelow, J., & Berns, G. S. (2004) · Neuron · doi:10.1016/s0896-6273(04)00183-7 · Cited by 432 · see citing works
A neural mechanism mediating the impact of episodic prospection on farsighted decisions
Benoit, R. G., Gilbert, S. J., & Burgess, P. W. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.6559-10.2011 · Cited by 422 · see citing works
Getting a Grip on Drinking Behavior: Training Working Memory to Reduce Alcohol Abuse
Houben, K., Wiers, R. W., & Jansen, A. (2011) · Psychological Science · doi:10.1177/0956797611412392 · Cited by 398 · see citing works
Monterosso, J. R., Ainslie, G., Xu, J., Cordova, X., Domier, C. P., & London, E. D. (2007) · Human Brain Mapping · doi:10.1002/hbm.20281 · Cited by 335 · see citing works
Delay discounting predicts postpartum relapse to cigarette smoking among pregnant women.
Yoon, J. H., Higgins, S. T., Heil, S. H., Sugarbaker, R. J., Thomas, C. S., & Badger, G. J. (2007) · Experimental and Clinical Psychopharmacology · doi:10.1037/1064-1297.15.2.186 · Cited by 322 · see citing works
Delay discounting and the alcohol Stroop in heavy drinking adolescents
Field, M., Christiansen, P., Cole, J. C., & Goudie, A. J. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01743.x · Cited by 292 · see citing works
Substance use and withdrawal: neuropsychological functioning over 8 years in youth
TAPERT, S. F., GRANHOLM, E., LEEDY, N. G., & BROWN, S. A. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702870011 · Cited by 272 · see citing works
Christakou, A., Brammer, M., & Rubia, K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.067 · Cited by 266 · see citing works
Hudziak, J., Copeland, W., Stanger, C., & Wadsworth, M. (2004) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/j.1469-7610.2004.00314.x · Cited by 259 · see citing works
Self-citationDelay discounting is associated with treatment response among cocaine-dependent outpatients
Washio, Y., Higgins, S. T., Heil, S. H., McKerchar, T. L., Badger, G. J., Skelly, J. M., & Dantona, R. L. (2011) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0023617 · Cited by 206 · see citing works
Delay discounting predicts adolescent substance abuse treatment outcome.
Stanger, C., Ryan, S. R., Fu, H., Landes, R. D., Jones, B. A., Bickel, W. K., & Budney, A. J. (2011) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0026543 · Cited by 192 · see citing works
Self-citationAltered prefrontal and insular cortical thickness in adolescent marijuana users
Lopez-Larson, M. P., Bogorodzki, P., Rogowska, J., McGlade, E., King, J. B., Terry, J., & Yurgelun-Todd, D. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.02.001 · Cited by 187 · cited 1× · see citing works
“Several studies also have documented neural structural and activation differences between adolescent substance users and controls.(19,20) There is longitudinal evidence that alcohol use in adolescence may negatively affect memory”
Olson, E. A., Collins, P. F., Hooper, C. J., Muetzel, R., Lim, K. O., & Luciana, M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21107 · Cited by 185 · see citing works
Functional neuroimaging of intertemporal choice models: a review
Carter, R. M., Meyer, J. R., & Huettel, S. A. (2010) · Journal of Neuroscience Psychology and Economics · doi:10.1037/a0018046 · Cited by 124 · see citing works
Functional MRI evidence for inefficient attentional control in adolescent chronic cannabis abuse
Abdullaev, Y. G., Posner, M. I., Nunnally, R. L., & Dishion, T. J. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.06.023 · Cited by 106 · see citing works
Applying a Behavioral Economic Framework to Understanding Adolescent Smoking.
Audrain-McGovern, J. E., Rodriguez, D., Tercyak, K. P., Epstein, L. H., Goldman, P. N., & Wileyto, E. P. (2004) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.18.1.64 · Cited by 101 · see citing works
Monterosso, J. R., & Luo, S. (2010) · Journal of Neuroscience, Psychology, and Economics · doi:10.1037/a0016827 · Cited by 100 · see citing works
Age-related influence of contingencies on a saccade task
Jazbec, S., Hardin, M. G., Schroth, E., McClure, E., Pine, D. S., & Ernst, M. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0520-9 · Cited by 85 · see citing works
Smoking-related cue-induced brain activation in adolescent light smokers
Rubinstein, M. L., Luks, T. L., Moscicki, A.-B., Dryden, W., Rait, M. A., & Simpson, G. V. (2011) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.09.016 · Cited by 62 · see citing works
Chung, T. A., Geier, C. F., Luna, B., Pajtek, S., Terwilliger, R. A., Thatcher, D. L., & Clark, D. B. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.10.017 · Cited by 42 · see citing works
Flagged first, then by citations
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Sensitive periods of substance abuse: Early risk for the transition to dependence
Jordan, C. J., & Andersen, S. L. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.10.004 · Cited by 455 · see citing works
“Prevention measures: promoting executive maturity in adolescence Promotion of executive maturity may be an effective intervention for adolescents at risk for SUD (Stanger et al., 2013).”
Nejati, V., Salehinejad, M. A., & Nitsche, M. A. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.10.042 · Cited by 243 · see citing works
NOW vs LATER brain circuits: implications for obesity and addiction
Volkow, N. D., & Baler, R. D. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.04.002 · Cited by 237 · see citing works
A dual‐systems perspective on addiction: contributions from neuroimaging and cognitive training
McClure, S. M., & Bickel, W. K. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12561 · Cited by 201 · see citing works
Neurobiology of adolescent substance use and addictive behaviors: treatment implications.
Hammond, C. J., Mayes, L. C., & Potenza, M. N. (2014) · PubMed · Cited by 115 · see citing works
Diminished Cortical Thickness Is Associated with Impulsive Choice in Adolescence
Pehlivanova, M., Wolf, D. H., Sotiras, A., Kaczkurkin, A. N., Moore, T. M., Ciric, R., Cook, P. A., Garcia de La Garza, A., Rosen, A. F. G., Ruparel, K., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.2200-17.2018 · Cited by 79 · see citing works
Reducing substance use during adolescence: a translational framework for prevention
Stanis, J. J., & Andersen, S. L. (2014) · Psychopharmacology · doi:10.1007/s00213-013-3393-1 · Cited by 69 · see citing works
Executive functioning and substance use in adolescence: Neurobiological and behavioral perspectives
Kim‐Spoon, J., Kahn, R. E., Lauharatanahirun, N., Deater-Deckard, K. D., Bickel, W. K., Chiu, P. H., & King‐Casas, B. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.04.020 · Cited by 67 · see citing works
Cannabis Abstinence During Treatment and One-Year Follow-Up: Relationship to Neural Activity in Men
Hedy Kober, A., DeVito, E. E., DeLeone, C. M., Carroll, K. M., & Potenza, M. N. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.82 · Cited by 62 · see citing works
Trait impulsivity is related to ventral ACC and amygdala activity during primary reward anticipation
Kerr, K. L., Avery, J. A., Barcalow, J. C., Moseman, S. E., Bodurka, J., Bellgowan, P. S. F., & Simmons, W. K. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu023 · Cited by 53 · see citing works
Functional connectivity and cannabis use in high-risk adolescents
Houck, J. M., Bryan, A. D., & Feldstein Ewing, S. W. (2013) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2013.837914 · Cited by 50 · see citing works
Hill, P. F., Yi, R., Spreng, R. N., & Diana, R. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.071 · Cited by 48 · see citing works
Noda, Y., Barr, M. S., ElSalhy, M., Masuda, F., Tarumi, R., Ogyu, K., Wada, M., Tsugawa, S., Miyazaki, T., Nakajima, S., et al. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109822 · Cited by 47 · see citing works
Determinants of choice, and vulnerability and recovery in addiction
Lamb, R. J., Maguire, D. R., Ginsburg, B. C., Pinkston, J. W., & France, C. P. (2016) · Behavioural Processes · doi:10.1016/j.beproc.2016.04.001 · Cited by 43 · see citing works
de Water, E., Mies, G. W., Figner, B., Yoncheva, Y. N., van den Bos, W., Castellanos, F. X., Cillessen, A. H. N., & Scheres, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.013 · Cited by 38 · see citing works
Advances in Research on Contingency Management for Adolescent Substance Use
Stanger, C., Lansing, A. H., & Budney, A. J. (2016) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2016.05.002 · Cited by 33 · see citing works
Self-citationA comparison of delay discounting in adolescents and adults in treatment for cannabis use disorders.
Lee, D. C., Stanger, C., & Budney, A. J. (2015) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0038792 · Cited by 35 · see citing works
Self-citationConvergence Science Arrives: How Does It Relate to Psychiatry?
Eyre, H. A., Lavretsky, H., Forbes, M., Raji, C. A., Small, G., McGorry, P. D., Baune, B. T., & Reynolds, C. F. (2016) · Academic Psychiatry · doi:10.1007/s40596-016-0496-0 · Cited by 29 · see citing works
Klein, S. D., Collins, P. F., & Luciana, M. M. (2022) · Cognitive Psychology · doi:10.1016/j.cogpsych.2022.101518 · Cited by 27 · see citing works
Chen, Z., Guo, Y., Suo, T., & Feng, T. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.01.011 · Cited by 22 · see citing works
Förster, S., Steinhauer, S. R., Ortiz, A., & Forman, S. D. (2021) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2020.1865997 · Cited by 24 · see citing works
Delay discounting and parental monitoring in adolescents with poorly controlled type 1 diabetes
Lansing, A. H., Stanger, C., Crochiere, R. J., Carracher, A. M., & Budney, A. J. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-017-9856-9 · Cited by 26 · see citing works
Self-citationKoffarnus, M. N., Deshpande, H. U., Lisinski, J. M., Eklund, A., Bickel, W. K., & LaConte, S. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.024 · Cited by 24 · see citing works
Zhang, R., Chen, Z., Liu, P., & Feng, T. (2019) · Psychophysiology · doi:10.1111/psyp.13495 · Cited by 23 · see citing works
Neural Systems Underlying Individual Differences in Intertemporal Decision-making
Elton, A., Smith, C. T., Parrish, M. H., & Boettiger, C. A. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01069 · Cited by 23 · see citing works
Self-citationNeural networks during delay discounting as trans-disease marker: A meta-analytical review
Chen, Z., Becker, B., Qin, P., Lei, W. I., Chen, J., Liu, P., Lin, T., Zhang, C., Zhang, R., Wang, M., et al. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.05.008 · Cited by 23 · see citing works
Kroll, D. S., Feldman, D. E., Wang, S.-Y., Zhang, R., Manza, P., Wiers, C. E., Volkow, N. D., & Wang, G. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117099 · Cited by 20 · see citing works
Highlander, A., & Jones, D. J. (2021) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-021-00369-x · Cited by 19 · see citing works
The neurodevelopment of delay discounting for monetary rewards in pre-adolescent children
Yu, M., Liu, T., Shangguan, F., Sui, J., & Shi, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-87282-z · Cited by 19 · see citing works
Psychosocial interventions for substance-abusing parents and their young children: A scoping review
Heimdahl, K., & Karlsson, P. (2016) · Addiction Research & Theory · doi:10.3109/16066359.2015.1118064 · Cited by 17 · see citing works
Deprivation Has Inconsistent Effects on Delay Discounting: A Review
Downey, H., Haynes, J. M., Johnson, H. M., & Odum, A. L. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.787322 · Cited by 16 · see citing works
The impact of therapists’ words on the adolescent brain: In the context of addiction treatment
Ewing, S. W. F., Houck, J. M., Yezhuvath, U. S., Kojori, E. S., Truitt, D., & Filbey, F. M. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.09.041 · Cited by 16 · see citing works
Adolescent Brain Response to Reward Is Associated with a Bias toward Immediate Reward
Hansen, A., Turpyn, C. C., Mauro, K. L., Thompson, J. C., & Chaplin, T. M. (2019) · Developmental Neuropsychology · doi:10.1080/87565641.2019.1636798 · Cited by 16 · see citing works
Christakou, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.008 · Cited by 17 · see citing works
Baumbauer, K. M., Young, E. E., Starkweather, A. R., Guite, J. W., Russell, B. S., & Manworren, R. C. B. (2015) · Medical Clinics of North America · doi:10.1016/j.mcna.2015.08.013 · Cited by 14 · see citing works
Wang, S., Zhou, M., Chen, T., Yang, X., Chen, G., & Gong, Q. (2017) · Scientific Reports · doi:10.1038/s41598-017-11109-z · Cited by 13 · see citing works
Chen, Z., Guo, Y., Zhang, S., & Feng, T. (2018) · Cortex · doi:10.1016/j.cortex.2018.11.001 · Cited by 14 · see citing works
An altered reward system characterizes chronic migraine with medication overuse headache
Niddam, D. M., Wu, S., Lai, K., Yang, Y.-Y., Wang, Y.-F., & Wang, S. (2023) · Cephalalgia · doi:10.1177/03331024231158088 · Cited by 13 · see citing works
Gonçalves, P. D., Martins, S. S., Gebru, N. M., Ryan-Pettes, S. R., Allgaier, N. A., Potter, A., Thompson, W. K., Johnson, M. E., Garavan, H., Talati, A., et al. (2023) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2023.100284 · Cited by 13 · see citing works
Yu, M., Liu, T., & Shi, J. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107469 · Cited by 10 · see citing works
Xiao, Z., Chen, Z., Chen, W., Gao, W., He, L., Wang, Q., Lei, X., Qiu, J., Feng, T., Chen, H., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab505 · Cited by 11 · see citing works
Temporal discounting for self and friends in adolescence: A fMRI study
van de Groep, S., Sweijen, S., de Water, E., & Crone, E. A. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101204 · Cited by 12 · see citing works
Competing neurobehavioral decision systems and the neuroeconomics of craving in opioid addiction
Jarmolowicz, D. P., Sofis, M. J., & Martin, L. E. (2014) · Neuroscience and Neuroeconomics · doi:10.2147/nan.s38866 · Cited by 10 · see citing works
The Resting-State Neural Network of Delay Discounting
Yang, F., Li, X., & Hu, P. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.828929 · Cited by 9 · see citing works
Elton, A., Stanger, C., James, G. A., Ryan-Pettes, S. R., Budney, A. J., & Kilts, C. D. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101968 · Cited by 10 · see citing works
Self-citationStriatal bases of temporal discounting in early adolescents
Hamilton, K. R., Smith, J. F., Gonçalves, S. F., Nketia, J., Tasheuras, O. N., Yoon, M., Rubia, K., Chirles, T. J., Lejuez, C. W., & Shackman, A. J. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107492 · Cited by 9 · see citing works
Lakhani, N. V., Souther, M. K., Boateng, B., & Kable, J. W. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.12.511959 · Cited by 9 · see citing works
Bryan, A. D., Magnan, R. E., Claus, E. D., Hutchison, K. E., Ewing, S. W. F., & Schmiege, S. J. (2021) · AIDS and Behavior · doi:10.1007/s10461-021-03190-3 · Cited by 8 · see citing works
Zhang, R., Chen, Z., Xu, T., & Feng, T. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.11.014 · Cited by 8 · see citing works
Time preference and personal value: a population-based cross-sectional study in Japan
Kawakami, N., Watanabe, K., Nishi, D., Takagi, D., Hashimoto, H., & Tanaka, S. (2020) · BMC Psychology · doi:10.1186/s40359-020-00458-6 · Cited by 7 · see citing works
Strengthening the role of convergence science in medicine
Eyre, H. A., Forbes, M., Raji, C. A., Cork, N., Durning, S. J., Armstrong, E. G., Wheeler, E. L., Meyers, A. D., Baune, B. T., & Berk, M. (2015) · Convergent Science Physical Oncology · doi:10.1088/2057-1739/1/2/026001 · Cited by 7 · see citing works
Impulsiveness and Inhibitory Mechanisms
Bari, A., Kellermann, T. S., & Studer, B. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800935-2.00006-3 · Cited by 5 · see citing works
Estimating brain network activity through back-projection of ICA components to GLM maps
James, G. A., Tripathi, S. P., & Kilts, C. D. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.01.056 · Cited by 6 · see citing works
Self-citationDelay, probability, and effort discounting in drug addiction
Garami, J. K., & Moustafa, A. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816979-7.00004-2 · Cited by 6 · see citing works
Gardiner, C. K., Karoly, H. C., Thayer, R. E., Gillman, A. S., Sabbineni, A., & Bryan, A. D. (2018) · Annals of Behavioral Medicine · doi:10.1093/abm/kax028 · Cited by 6 · see citing works
The neural basis underlying procrastination: a large-scale study of brain networks
Su, T., Guo, Y.-Q., Chen, Z.-Y., Zhang, S.-M., Huang, X.-T., & Feng, T.-Y. (2018) · Scientia Sinica Vitae · doi:10.1360/n052018-00158 · Cited by 4 · see citing works
Adolescent psychotherapy for addiction medicine
Thayer, R. E., & Ewing, S. W. F. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.020 · Cited by 5 · see citing works
P300 and delay-discounting in obsessive–compulsive disorder
Flasbeck, V., Enzi, B., Andreou, C., Juckel, G., & Mavrogiorgou, P. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01302-7 · Cited by 4 · see citing works
Bounoua, N., Church, L. D., Matyi, M. A., Rudoler, J., Wieand, K., & Spielberg, J. M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0291868 · Cited by 4 · see citing works
Xu, T., Chen, Z., & Feng, T. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112111 · Cited by 4 · see citing works
Ji, S., Yang, F., & Li, X. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1320830 · Cited by 3 · see citing works
Continuous and atlas-free analysis of brain structural connectivity
Consagra, W., Cole, M., Qiu, X., & Zhang, Z. (2024) · The Annals of Applied Statistics · doi:10.1214/23-aoas1858 · Cited by 4 · see citing works
Ewing, S. W. F., Karoly, H. C., & Houck, J. M. (2015) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137362650_15 · Cited by 3 · see citing works
Fields, L., Roberts, W., Schwing, I., McCoy, M. F., Verplaetse, T. L., Peltier, M. R., Carretta, R. F., Zakiniaeiz, Y., Rosenheck, R. A., & McKee, S. A. (2023) · Drug and Alcohol Dependence Reports · doi:10.1016/j.dadr.2023.100162 · Cited by 2 · see citing works
Mertens, A. T., Goldsmith, C., Pavelka, D. J., Oleson, J., & Doucet, G. E. (2025) · Human Brain Mapping · doi:10.1002/hbm.70270 · Cited by 2 · see citing works
Neural Influences in Contingency Management for Adolescent Substance Use
Stanger, C., & Garavan, H. (2015) · Palgrave Macmillan eBooks · doi:10.1057/9781137362650_16 · Cited by 1 · see citing works
Self-citationAntsiborov, A. V., Камплицкая, О. В., Ovsyannikov, M. V., Стадник, К. В., & Panchenko, L. F. (2019) · Nauchno-prakticheskii zhurnal «Patogenez» · doi:10.25557/2310-0435.2019.04.21-32 · Cited by 1 · see citing works
Bacchi, P. S., Carezzato, F., Santi, T. D., Suen, P. J. C., da Silveira, F. B. F., Takeuchi, T., Marczyk, J. R., Trinca, R. T., Torres, R. S., Brasiliano, S., et al. (2025) · Archives of Women s Mental Health · doi:10.1007/s00737-025-01601-1 · Cited by 1 · see citing works
Yoon, B. Y., Park, H., & Jung, W. H. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03650-z · Cited by 1 · see citing works
Anderson, M. A. B., & Stanger, C. (2023) · Children s Health Care · doi:10.1080/02739615.2023.2226393 · Cited by 1 · see citing works
Self-citation(1993) · Signal Processing Image Communication · doi:10.1016/0923-5965(93)90019-p
The Neural Correlates of Cognitive Behavioural Self-Regulation in Early Development
Nicholson, A. A., Hosseini‐Kamkar, N., Fallowfield, H. J., & Morton, J. B. (2015) · Western Undergraduate Psychology Journal
Kawakami, N., Watanabe, K., Nishi, D., Takagi, D., Hashimoto, H., & Tanaka, S. (2020) · Figshare · doi:10.6084/m9.figshare.12819453
Yates, J. R. (2026) · Springer eBooks · doi:10.1007/978-3-032-15602-0_7
Dinesh, D., & Unnikrishnan, S. (2026) · NeuroRegulation · doi:10.15540/nr.13.3.270
- Authors
- Stanger, C., Elton, A., Ryan, S. R., James, G. A., Budney, A. J., & Kilts, C. D.
- Affiliations
- Dartmouth College (US)
- University of North Carolina at Chapel Hill (US)
- The University of Texas at San Antonio Health Science Center (US)
- University of Arkansas for Medical Sciences (US)
- Corresponding author
- Stanger, Catherine
- Venue
- Journal of the American Academy of Child & Adolescent Psychiatry
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 52
- Issue
- 7
- Pages
- 747-755.e6
- ISSN
- 0890-8567 (ISSN-L)
- PMC
- PMC3712894
- OpenAlex
- W2118035077
- Cited by
- 75
- References
- 42
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2 · 2023: 6 · 2022: 4 · 2021: 7 · 2020: 7 · 2019: 6 · 2018: 5 · 2017: 7 · 2016: 7 · 2015: 9 · 2014: 8 · 2013: 1
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Academy of Child & Adolescent Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Dartmouth College
- University of Arkansas for Medical Sciences (UL1TR000039, KL2TR000063)
- National Institutes of Health (UL1TR000039, KL2TR000063)
- Allergan
- University of North Carolina at Chapel Hill
- University of Texas Health Science Center at San Antonio
- Audrey and Theodor Geisel School of Medicine at Dartmouth
- National Institute on Alcohol Abuse and Alcoholism (AA016917, R01AA016917)
- National Institute on Drug Abuse (R01DA015186, DA022981, DA029442, DA015186, R21DA029442, T32DA022981)
- National Center for Research Resources
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- adolescent substance abuse, delay discounting, impulsive decision-making, individual differences, frontoparietal network, dorsolateral prefrontal cortex, ventromedial prefrontal cortex, amygdala, hippocampus, insula, precuneus, cingulate cortex, inferior parietal cortex, treatment outcomes, temporal decision-making, neuroeconomics
- MeSH terms
- Adolescent, Brain, Child, Female, Humans, Individuality, Magnetic Resonance Imaging, Male, Nerve Net, Reward, Time Factors, Substance-Related Disorders, Executive Function, Functional Neuroimaging
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