The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Immediate Reward Bias in Humans: Fronto-Parietal Networks and a Role for the Catechol-O-Methyltransferase 158Val/ValGenotype
Open accessAbstract
The tendency to choose lesser immediate benefits over greater long-term benefits characterizes alcoholism and other addictive disorders. However, despite its medical and socioeconomic importance, little is known about its neurobiological mechanisms. Brain regions that are activated when deciding between immediate or delayed rewards have been identified (McClure et al., 2004, 2007), as have areas in which responses to reward stimuli predict a paper-and-pencil measure of temporal discounting (Hariri et al., 2006). These studies assume "hot" and "cool" response selection systems, with the hot system proposed to generate impulsive choices in the presence of a proximate reward. However, to date, brain regions in which the magnitude of activity during decision making reliably predicts intertemporal choice behavior have not been identified. Here we address this question in sober alcoholics and non-substance-abusing control subjects and show that immediate reward bias directly scales with the magnitude of functional magnetic resonance imaging bold oxygen level-dependent (BOLD) signal during decision making at sites within the posterior parietal cortex (PPC), dorsal prefrontal cortex (dPFC), and rostral parahippocampal gyrus regions. Conversely, the tendency of an individual to wait for a larger, delayed reward correlates directly with BOLD signal in the lateral orbitofrontal cortex. In addition, genotype at the Val158Met polymorphism of the catechol-O-methyltransferase gene predicts both impulsive choice behavior and activity levels in the dPFC and PPC during decision making. These genotype effects remained significant after controlling for alcohol abuse history. These results shed new light on the neurobiological underpinnings of temporal discounting behavior and identify novel behavioral and neural consequences of genetic variation in dopamine metabolism.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“genetic variation at the Val158Met polymorphism of the catechol-O-methyltransferase (COMT) gene influences decision-making behavior and underlying activity in brain activity associated with impulsive choice (Boettiger et al., 2007).”
From Impulsivity, frontal lobes and risk for addiction (2009) · cites this paper as Boettiger et al., 2007
In the citing paper
“numerous neuroimaging studies have found abnormal OFC function associated with substance abuse (Boettiger et al., 2007; Dom et al., 2005; Ersche et al., 2005; London et al., 2000; Volkow and Fowler, 2000).”
From Impulsivity, frontal lobes and risk for addiction (2009) · cites this paper as Boettiger et al., 2007
In the citing paper
“we have found that reduced OFC activity during decision-making among abstinent alcoholics is correlated with their tendency to choose immediate over delayed rewards (Boettiger et al., 2007)”
From Impulsivity, frontal lobes and risk for addiction (2009) · cites this paper as Boettiger et al., 2007
In the citing paper
“while a single study has examined the effects of COMTVal158Met in an adult sample of abstinent alcoholics and healthy participants (Boettiger et al, 2007)”
From DAT1 and COMT effects on delay discounting and trait impulsivity in male adolescents with attention deficit/hyperactivity disorder and healthy controls (2010) · cites this paper as Boettiger et al, 2007
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
SAUNDERS, J. B., AASLAND, O. G., BABOR, T. F., DE LA FUENTE, J. R., & GRANT, M. (1993) · Addiction · doi:10.1111/j.1360-0443.1993.tb02093.x · Cited by 13,597
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
Spatial registration and normalization of images
Friston, K. J., Ashburner, J., Frith, C., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030303 · Cited by 3,744
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
Trope, Y., & Liberman, N. (2003) · Psychological Review · doi:10.1037/0033-295x.110.3.403 · Cited by 3,006
Out of Control: Visceral Influences on Behavior
Loewenstein, G. (1996) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1996.0028 · Cited by 2,610
Effect of COMT Val 108/158 Met genotype on frontal lobe function and risk for schizophrenia
Egan, M. F., Goldberg, T. E., Kolachana, B. S., Callicott, J. H., Mazzanti, C. M., Straub, R. E., Goldman, D. A., & Weinberger, D. R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.111134598 · Cited by 2,416
Dopamine in schizophrenia: a review and reconceptualization
Davis, K. L., Kahn, R. S., Ko, G., & Davidson, M. (1991) · American Journal of Psychiatry · doi:10.1176/ajp.148.11.1474 · Cited by 2,051
Evenden, J. L. (1999) · Psychopharmacology · doi:10.1007/pl00005481 · Cited by 2,044
Uneven Pattern of Dopamine Loss in the Striatum of Patients with Idiopathic Parkinson's Disease
Kish, S. J., Shannak, K. S., & Hornykiewicz, O. (1988) · New England Journal of Medicine · doi:10.1056/nejm198804073181402 · Cited by 1,945
Cited by
Sorted by citations
Items 101–200 of 298
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
Effects of Alcohol Dependence Severity on Neural Correlates of Delay Discounting
Lim, A. C., Cservenka, A., & Ray, L. A. (2017) · Alcohol and Alcoholism · doi:10.1093/alcalc/agx015 · Cited by 45
The neural basis of impulsive discounting in pathological gamblers
Miedl, S. F., Wiswede, D., Marco‐Pallarés, J., Ye, Z., Fehr, T., Herrmann, M., & Münte, T. F. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9352-1 · Cited by 45
Temporal decision-making: insights from cognitive neuroscience
Luhmann, C. C. (2009) · Frontiers in Behavioral Neuroscience · doi:10.3389/neuro.08.039.2009 · Cited by 47
Amlung, M. T., & MacKillop, J. (2011) · Journal of Experimental Psychopathology · doi:10.5127/jep.017311 · Cited by 44
BOLD responses in reward regions to hypothetical and imaginary monetary rewards
Miyapuram, K. P., Tobler, P. N., Gregorios-Pippas, L., & Schultz, W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.029 · Cited by 45
Smith, C. T., Wallace, D. L., Dang, L. C., Aarts, E., Jagust, W. J., D’Esposito, M., & Boettiger, C. A. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00261.2015 · Cited by 48
Intentional and Incidental Self-Control in Ventrolateral PFC
Cohen, J. R., Berkman, E. T., & Lieberman, M. D. (2011) · Cited by 44
Cortical dopamine release during a behavioral response inhibition task
Albrecht, D., Kareken, D. A., Christian, B. T., Džemidžić, M., & Yoder, K. K. (2014) · Synapse · doi:10.1002/syn.21736 · Cited by 44
Smith, B. J., Monterosso, J. R., Wakslak, C. J., Bechara, A., & Read, S. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.01.005 · Cited by 45
Expression of pronociceptin and its receptor is downregulated in the brain of human alcoholics
Kuzmin, A., Bazov, I., Sheedy, D., Garrick, T., Harper, C., & Bakalkin, G. (2009) · Brain Research · doi:10.1016/j.brainres.2009.05.067 · Cited by 40
Kobiella, A., Ripke, S., Kroemer, N. B., Vollmert, C., Vollstädt‐Klein, S., Ulshöfer, D. E., & Smolka, M. N. (2013) · Addiction Biology · doi:10.1111/adb.12057 · Cited by 41
Quaglieri, A., Mari, E., Boccia, M., Piccardi, L., Guariglia, C., & Giannini, A. M. (2020) · Brain Sciences · doi:10.3390/brainsci10060353 · Cited by 39
Cultural neuroeconomics of intertemporal choice.
Takahashi, T., Hadzibeganovic, T., Cannas, S. A., Makino, T., Fukui, H., & Kitayama, S. (2009) · PubMed · Cited by 39
Impact of Size and Delay on Neural Activity in the Rat Limbic Corticostriatal System
Roesch, M. R., & Bryden, D. W. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00130 · Cited by 41
Bertocci, M. A., Bebko, G. M., Versace, A., Fournier, J. C. J., Iyengar, S., Olino, T. M., Bonar, L. K., Almeida, J., Perlman, S. B., Schirda, C., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.5 · Cited by 38
Victims' Time Discounting 2.5 Years after the Wenchuan Earthquake: An ERP Study
Li, J.-Z., Gui, D.-Y., Feng, C.-L., Wang, W.-Z., Du, B.-Q., Gan, T., & Luo, Y.-J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040316 · Cited by 37
Genetic Variation in Dopaminergic Reward in Humans
Stice, E. M., & Dagher, A. (2009) · Forum of nutrition/Bibliotheca Nutritio et dieta · doi:10.1159/000264405 · Cited by 36
Multiple Selves in Intertemporal Choice
Jamison, J., & Wegener, J. (2009) · Journal of Economic Psychology · doi:10.1016/j.joep.2010.03.004 · Cited by 44
Swift‐Scanlan, T., Smith, C. T., Bardowell, S. A., & Boettiger, C. A. (2014) · BMC Medical Genomics · doi:10.1186/1755-8794-7-5 · Cited by 38
Review of the genetic basis of emotion dysregulation in children and adolescents
Barzman, D. H. (2015) · World Journal of Psychiatry · doi:10.5498/wjp.v5.i1.112 · Cited by 37
Cui, L., Ye, M., Sun, L., Zhang, S., & He, G. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104851 · Cited by 36
Dopamine, time perception, and future time perspective
Mitchell, J., Weinstein, D., Vega, T. A., & Kayser, A. S. (2018) · Psychopharmacology · doi:10.1007/s00213-018-4971-z · Cited by 33
Mies, G. W., de Water, E., Wiersema, J. R., & Scheres, A. (2018) · Child Neuropsychology · doi:10.1080/09297049.2018.1508563 · Cited by 33
Obstacles to patient education in chronic diseases: A trans-theoretical analysis
Reach, G. (2009) · Patient Education and Counseling · doi:10.1016/j.pec.2009.05.005 · Cited by 36
Discounting of delayed rewards and executive dysfunction in individuals infected with hepatitis C
Huckans, M. S., Seelye, A. M., Woodhouse, J., Parcel, T., Mull, L. J., Schwartz, D., Mitchell, A., Lahna, D. L., Johnson, A., Loftis, J. M., et al. (2010) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2010.499355 · Cited by 32
Bickel, W. K., Yi, R., Mueller, E. T., Jones, B. A., & Christensen, D. R. (2009) · Current topics in behavioral neurosciences · doi:10.1007/7854_2009_22 · Cited by 33
The neural dissociation of subjective valuation from choice processes in intertemporal choice
Liu, L., Feng, T., Wang, J., & Li, H. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.02.045 · Cited by 34
Cona, G., Koçillari, L., Palombit, A., Bertoldo, A., Maritan, A., & Corbetta, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.050 · Cited by 37
Gray, J. C., & MacKillop, J. (2014) · Brain and Behavior · doi:10.1002/brb3.284 · Cited by 31
Morys, F., Bode, S., & Horstmann, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-35834-1 · Cited by 31
Soleimani, G., Kuplicki, R., Bodurka, J., Paulus, M. P., & Ekhtiari, H. (2022) · Brain stimulation · doi:10.1016/j.brs.2022.01.008 · Cited by 31
Altamirano, L. J., Fields, H. L., D’Esposito, M., & Boettiger, C. A. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01535.x · Cited by 33
Garza, K. B., Harris, C. V., & Bolding, M. (2012) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2012.12.001 · Cited by 35
Decision making: effects of methylphenidate on temporal discounting in nonhuman primates
Rajala, A. Z., Jenison, R. L., & Populin, L. C. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00278.2015 · Cited by 25
Alves, M. B., Laureano, D. P., Dalle Molle, R., Machado, T. D., Salvador, A. P. D. A., Miguel, P. M., Lupinsky, D., Dalmaz, C., & Silveira, P. P. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.03.010 · Cited by 30
Neural Plasticity, Human Genetics, and Risk for Alcohol Dependence
Hill, S. Y. (2010) · International review of neurobiology · doi:10.1016/s0074-7742(10)91003-9 · Cited by 31
Kelm, M. K., & Boettiger, C. A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00464 · Cited by 30
The behavioral economics of reinforcement pathologies: Novel approaches to addictive disorders.
Bickel, W. K., Jarmolowicz, D. P., MacKillop, J. M., Epstein, L. H., Carr, K. A., Mueller, E. T., & Waltz, T. J. (2012) · American Psychological Association eBooks · doi:10.1037/13750-014 · Cited by 29
COMT Associations with Disordered Gambling and Drinking Measures
Guillot, C. R., Fanning, J. R., Liang, T., & Berman, M. E. (2014) · Journal of Gambling Studies · doi:10.1007/s10899-013-9434-1 · Cited by 29
Beagle, A. J., Zahir, A. T., Borzello, M., Kayser, A. S., Hsu, M., Miller, B. L., Kramer, J. H., & Chiong, W. (2019) · Cortex · doi:10.1016/j.cortex.2019.10.009 · Cited by 29
Renteria, R., Cazares, C., Baltz, E. T., Schreiner, D. C., Yalcinbas, E. A., Steinkellner, T., Hnasko, T. S., & Gremel, C. M. (2021) · eLife · doi:10.7554/elife.67065 · Cited by 25
Brain proton magnetic resonance spectroscopy of alcohol use disorders
Meyerhoff, D. J. (2014) · Handbook of clinical neurology · doi:10.1016/b978-0-444-62619-6.00019-7 · Cited by 28
Intentional and Incidental Self-Control in Ventrolateral Prefrontal Cortex
Cohen, J. R., Berkman, E. T., & Lieberman, M. D. (2013) · Oxford University Press eBooks · doi:10.1093/med/9780199837755.003.0030 · Cited by 30
Neural underpinnings of maladaptive decision-making in addictions
Guttman, Z., Moeller, S. J., & London, E. D. (2017) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2017.06.014 · Cited by 28
Fan, Y., Gold, J. I., & Ding, L. (2020) · eLife · doi:10.7554/elife.60535 · Cited by 34
Zhang, W., Li, G., Manza, P., Hu, Y., Wang, J., Lv, G., He, Y., von Deneen, K. M., Yu, J., Han, Y., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab333 · Cited by 25
Is there an impatience genotype leading to non-adherence to long-term therapies?
Reach, G. (2010) · Diabetologia · doi:10.1007/s00125-010-1755-3 · Cited by 26
Huang, X., Liu, Z., Mwansisya, T. E., Pu, W., Zhou, L. Q., Liu, C., Chen, X., Rohrbaugh, R. M., Marienfeld, C. B., Xue, Z., et al. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25322 · Cited by 26
COMT Val158Met Polymorphism Exerts Sex-Dependent Effects on fMRI Measures of Brain Function
Elton, A., Smith, C. T., Parrish, M. H., & Boettiger, C. A. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00578 · Cited by 26
Review of Orbitofrontal Cortex in Alcohol Dependence: A Disrupted Cognitive Map?
Shields, C. N., & Gremel, C. M. (2020) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14441 · Cited by 26
Calluso, C., Tosoni, A., Pezzulo, G., Spadone, S., & Committeri, G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119710 · Cited by 26
Delay discounting as emotional processing: An electrophysiological study
Blackburn, M., Mason, L., Hoeksma, M. R., Zandstra, E. H., & El‐Deredy, W. (2012) · Cognition & Emotion · doi:10.1080/02699931.2012.673478 · Cited by 27
Pornpattananangkul, N., Nadig, A., Heidinger, S., Walden, K., & Nusslock, R. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0501-4 · Cited by 26
Chen, Z., Guo, Y., Suo, T., & Feng, T. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.01.011 · Cited by 22
Neuroimaging, neuromodulation, and population health: the neuroscience of chronic disease prevention
Hall, P. A., Bickel, W. K., Erickson, K. I., & Wagner, D. D. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13868 · Cited by 25
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
Koffarnus, 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
Alcohol Dependence: Neuroimaging and the Development of Translational Phenotypes
Hutchison, K. E. (2008) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2008.00691.x · Cited by 24
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 24
How genes make up your mind: Individual biological differences and value-based decisions
Ramsøy, T. Z., & Skov, M. (2010) · Journal of Economic Psychology · doi:10.1016/j.joep.2010.03.003 · Cited by 27
Preference on Cash-Choice Task Predicts Externalizing Outcomes in 17-Year-Olds
Sparks, J. C., Isen, J. D., & Iacono, W. G. (2014) · Behavior Genetics · doi:10.1007/s10519-013-9638-2 · Cited by 24
Gier, N. R., Strelow, E., & Krampe, C. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.575494 · Cited by 22
Pap, D., Gonda, X., Molnár, E., Lazáry, J., Benkő, A., Downey, D., Thomas, E., Chase, D. S., Toth, Z. G., Mekli, K., et al. (2012) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32098 · Cited by 22
MacKillop, J., Gray, J. C., Bidwell, L. C., Bickel, W. K., Sheffer, C. E., & McGeary, J. E. (2015) · Psychopharmacology · doi:10.1007/s00213-015-4029-4 · Cited by 22
Haj, M. E., Boutoleau‐Bretonnière, C., & Allain, P. (2020) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2020.1744527 · Cited by 21
Motor impulsivity in Parkinson disease: Associations with COMT and DRD 2 polymorphisms
Ziegler, D. A., Ashourian, P., Wonderlick, J. S., Sarokhan, A. K., Prelec, D., Scherzer, C. R., & Corkin, S. (2014) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12113 · Cited by 20
Integrating Benefits and Costs in Decision Making
Wallis, J. D., & Rushworth, M. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00022-x · Cited by 19
Leeman, R. F., Bogart, D., Fucito, L. M., & Boettiger, C. A. (2014) · Current Addiction Reports · doi:10.1007/s40429-013-0008-1 · Cited by 19
Advances in Animal Models of Drug Addiction
Heidbreder, C. A. (2011) · Current topics in behavioral neurosciences · doi:10.1007/7854_2010_107 · Cited by 20
Item-based analysis of delayed reward discounting decision making
Gray, J. C., Amlung, M. T., Acker, J. D., Sweet, L. H., & MacKillop, J. (2014) · Behavioural Processes · doi:10.1016/j.beproc.2014.01.006 · Cited by 19
Taking stock of the past: A psychometric evaluation of the Autobiographical Interview
Lockrow, A. W., Setton, R., Spreng, K. A. P., Sheldon, S., Turner, G. R., & Spreng, R. N. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02080-x · Cited by 27
Dennis, L. E., Kohno, M., McCready, H. D., Schwartz, D. L., Schwartz, B., Lahna, D. L., Nagel, B. J., Mitchell, S. H., & Hoffman, W. F. (2019) · Psychopharmacology · doi:10.1007/s00213-019-05364-3 · Cited by 18
Coker, A. R., Weinstein, D., Vega, T. A., Miller, C. S., Kayser, A. S., & Mitchell, J. (2020) · Psychopharmacology · doi:10.1007/s00213-020-05599-5 · Cited by 18
Yildirim, B. O., & Derksen, J. J. L. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2015.07.005 · Cited by 20
Perkel, J. K., Bentzley, B. S., Andrzejewski, M. E., & Martinetti, M. P. (2015) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12632 · Cited by 17
Genetic influences on delayed reward discounting: A genome-wide prioritized subset approach.
MacKillop, J., Gray, J. C., Weafer, J. J., Sanchez‐Roige, S., Palmer, A. A., & de Wit, H. (2018) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000227 · Cited by 17
Wallace, D. L., Aarts, E., Uquillas, F. D., Dang, L. C., Greer, S. M., Jagust, W. J., & D’Esposito, M. (2015) · Appetite · doi:10.1016/j.appet.2015.05.004 · Cited by 17
Pu, S., Nakagome, K., Yamada, T., Yokoyama, K., Matsumura, H., Terachi, S., Mitani, H., Adachi, A., & Kaneko, K. (2013) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2013.05.011 · Cited by 16
Association of fronto-temporal function with cognitive ability in schizophrenia
Pu, S., Nakagome, K., Itakura, M., Iwata, M., Nagata, I., & Kaneko, K. (2017) · Scientific Reports · doi:10.1038/srep42858 · Cited by 17
Reward history impacts attentional orienting and inhibitory control on untrained tasks
Meyer, K. N., Sheridan, M. A., & Hopfinger, J. B. (2020) · Attention Perception & Psychophysics · doi:10.3758/s13414-020-02130-y · Cited by 17
Thayer, R. E., Crotwell, S. M., Callahan, T. J., Hutchison, K. E., & Bryan, A. D. (2012) · Brain Sciences · doi:10.3390/brainsci2040605 · Cited by 16
Effect of rs1063843 in theCAMKK2gene on the dorsolateral prefrontal cortex
Yu, P., Chen, X., Zhao, W., Zhang, Z., Zhang, Q.-M., Han, B., Zhai, J., Chen, M., Du, B., Deng, X., et al. (2016) · Human Brain Mapping · doi:10.1002/hbm.23181 · Cited by 16
Gray, J. C., & MacKillop, J. M. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0045-z · Cited by 17
Phenylketonuria as an Adherence Disease
Reach, G. (2025) · Patient Preference and Adherence · doi:10.2147/ppa.s512719 · Cited by 14
Haj, M. E., Boutoleau‐Bretonnière, C., Moustafa, A. A., & Allain, P. (2020) · Applied Neuropsychology Adult · doi:10.1080/23279095.2020.1764958 · Cited by 15
Varma, M. M., Zhen, S., & Yu, R. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120363 · Cited by 16
Smith, C. T., Swift‐Scanlan, T., & Boettiger, C. A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00501 · Cited by 15
Assisting A Concerned Person to Motivate Someone Experiencing Cybersex Into Treatment
Landau, J. L., Garrett, J. A., & Webb, R. (2008) · Journal of Marital and Family Therapy · doi:10.1111/j.1752-0606.2008.00091.x · Cited by 15
Two character traits associated with adherence to long term therapies
Reach, G. (2012) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2012.06.008 · Cited by 15
Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision
Olianezhad, F., Zabbah, S., Tohidi-Moghaddam, M., & Ebrahimpour, R. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00009 · Cited by 14
Reach, G. (2018) · Diabetes & Metabolism · doi:10.1016/j.diabet.2018.11.002 · Cited by 15
Cortico-striatal beta oscillations as a reward-related signal
Koloski, M. F., Hulyalkar, S., Barnes, S. A., Mishra, J., & Ramanathan, D. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01208-6 · Cited by 14
Just a little (lateral prefrontal) patience
Kable, J. W. (2010) · Nature Neuroscience · doi:10.1038/nn0510-523 · Cited by 14
Smith, C. T., Steel, E. A., Parrish, M. H., Kelm, M. K., & Boettiger, C. A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00627 · Cited by 13
A treatise on secondary psychopathy: Psychobiological pathways to severe antisociality
Yildirim, B. O. (2016) · Aggression and Violent Behavior · doi:10.1016/j.avb.2016.09.004 · Cited by 19
Arinze, I., & Moorman, D. E. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108007 · Cited by 13
Walker, C. D., Sexton, H. G., Hyde, J., Greene, B., & Risher, M.-L. (2022) · Cells · doi:10.3390/cells11193111 · Cited by 13
“The OFC, which is critical for impulse control, has shown to be impaired in individuals with alcohol use disorders [28,29] however the contributions of OFC subregions have not been explored.”
BackgroundCatechol‐O‐Methyltransferase Genotype Modulates Opioid Release in Decision Circuitry
Mitchell, J., O’Neil, J. P., Jagust, W. J., & Fields, H. L. (2013) · Clinical and Translational Science · doi:10.1111/cts.12075 · Cited by 13
Kollmann, B., Yuen, K. S. L., Scholz, V., & Wessa, M. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.03.028 · Cited by 13
Metadata
- Authors
- Boettiger, C. A., Mitchell, J. M., Tavares, V. C., Robertson, M., Joslyn, G., D'Esposito, M., & Fields, H. L.
- Affiliations
- Ernest Gallo Clinic and Research Center (US)
- University of California, San Francisco (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-12-26
- Volume
- 27
- Issue
- 52
- Pages
- 14383-14391
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6673461
- OpenAlex
- W2032471892
- Cited by
- 300
- References
- 80
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 3 · 2023: 12 · 2022: 6 · 2021: 8 · 2020: 16 · 2019: 13 · 2018: 15 · 2017: 17 · 2016: 18 · 2015: 24 · 2014: 24 · 2013: 22 · 2012: 34
- FWCI
- 8.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Defense
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- delay discounting, intertemporal choice, impulsive decision-making, alcoholism, catechol-O-methyltransferase, COMT Val158Met polymorphism, dopamine metabolism, posterior parietal cortex, dorsal prefrontal cortex, lateral orbitofrontal cortex
- MeSH terms
- Adult, Alcoholism, Brain Mapping, Catechol O-Methyltransferase, Decision Making, Female, Humans, Image Processing, Computer-Assisted, Luria-Nebraska Neuropsychological Battery, Magnetic Resonance Imaging, Male, Nerve Net, Oxygen, Parietal Lobe, Polymorphism, Genetic, Reward, Valine, Bias, Prefrontal Cortex
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
