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Disruption of Reward Processing in Addiction: An Image-Based Meta-analysis of Functional Magnetic Resonance Imaging Studies
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IMPORTANCE: Disrupted reward processing, mainly driven by striatal dysfunction, is a key characteristic of addictive behaviors. However, functional magnetic resonance imaging (fMRI) studies have reported conflicting results, with both hypoactivations and hyperactivations during anticipation and outcome notification of monetary rewards in addiction. OBJECTIVE: To determine the nature and direction of reward-processing disruptions during anticipation and outcome notification of monetary rewards in individuals with addiction using image-based meta-analyses of fMRI studies. DATA SOURCES: Relevant publications were identified searching PubMed (inclusion until March 2015) using the following terms: reward, fMRI, substance use, cocaine, cannabis, opiates, alcohol, nicotine, smokers, gambling, gamblers, gaming, and gamers. Authors of included articles were contacted to obtain statistical fMRI maps. STUDY SELECTION: Inclusion criteria: reward task involving monetary reward anticipation and/or outcome; participants showing addictive behaviors; and healthy control group. Exclusion criteria: participants aged younger than 18 years; recreational substance use or gambling; participants at risk for addictive behaviors; and studies using the same patient data as other included studies. DATA EXTRACTION AND SYNTHESIS: Study procedures were conducted in accordance with the Meta-analysis of Observational Studies in Epidemiology guidelines. Using Seed-based d Mapping software, meta-analyses were performed using random-effect nonparametric statistics with group whole brain T-maps from individual studies as input. Analyses were performed across all addictions and for substance and gambling addictions separately. MAIN OUTCOMES AND MEASURES: Group differences (individuals with addiction vs control individuals) in reward-related brain activation during reward anticipation and outcome using fMRI (planned before data collection). RESULTS: Twenty-five studies were included in the meta-analysis, representing 643 individuals with addictive behaviors and 609 healthy control individuals. During reward anticipation, individuals with substance and gambling addictions showed decreased striatal activation compared with healthy control individuals. During reward outcome, individuals with substance addiction showed increased activation in the ventral striatum, whereas individuals with gambling addiction showed decreased activation in the dorsal striatum compared with healthy control individuals. CONCLUSIONS AND RELEVANCE: Striatal hypoactivation in individuals with addiction during reward anticipation and in individuals with gambling addiction during reward outcome is in line with the reward-deficiency theory of addiction. However, the combination of hypoactivation during reward anticipation and hyperactivation during reward outcome in the striatum of individuals with substance addiction may be explained using learning-deficit theory.
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“Previous research highlights the important role of sensitivities towards addiction-related stimuli and activations in neural reward systems involving the ventral and dorsal striatum and other limbic structures in addictive behaviors (FauthBühler and Mann, 2017; Fauth-Bühler et al., 2017; Luijten et al., 2017; Palaus et al., 2017).”
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“Mainly driven by striatal dysfunction in the brain, disrupted reward processing is a key characteristic in multiple types of addiction [33].”
From Cannabis, cannabinoids and health: a review of evidence on risks and medical benefits (2025) · cites this paper as [33]
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Cites
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Whiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006
The size and burden of mental disorders and other disorders of the brain in Europe 2010
Wittchen, H. U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., Jönsson, B., Olesen, J., Allgulander, C., Alonso, J., Faravelli, C., et al. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.07.018 · Cited by 3,754
Neurogenetic Adaptive Mechanisms in Alcoholism
Cloninger, C. R. (1987) · Science · doi:10.1126/science.2882604 · Cited by 2,203
The incentive sensitization theory of addiction: some current issues
Robinson, T. E., & Berridge, K. C. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0093 · Cited by 1,717
Mackay, J. M., & Eriksen, M. P. (2002) · Medical Entomology and Zoology · Cited by 1,322
Blum, K., Braverman, E. R., Holder, J. M., Lubar, J. F., Monastra, V. J., Miller, D., Lubar, J. O., Chen, T. J. H., & Comings, D. E. (2000) · Journal of Psychoactive Drugs · doi:10.1080/02791072.2000.10736099 · Cited by 998
Plasticity of reward neurocircuitry and the ‘dark side’ of drug addiction
Koob, G. F., & Le Moal, M. (2005) · Nature Neuroscience · doi:10.1038/nn1105-1442 · Cited by 963
Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. (2012) · European Psychiatry · doi:10.1016/j.eurpsy.2011.04.001 · Cited by 765
Hart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.277 · Cited by 764
Research works printed but not linked: 3
- [11]11. Ann N Y Acad Sci. 2011;1216(1):50-61.
- [23]23. Schultz W. Reward signaling by dopamine neurons. Neuroscientist. 2001;7(4):293-302.
- [32]32. Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. JAMA. 2000;283(15):2008-2012.
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Zilverstand, A., Huang, A., Alia‐Klein, N., & Goldstein, R. Z. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.048 · Cited by 598
Potenza, M. N., Balodis, I. M., Derevensky, J., Grant, J. E., Petry, N. M., Verdejo-Garcia, A., & Yip, S. W. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0099-7 · Cited by 437
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Hurd, Y. L., Manzoni, O. J., Pletnikov, M. V., Lee, F. S., Bhattacharyya, S., & Melis, M. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1165-19.2019 · Cited by 218
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Tervo‐Clemmens, B., Quach, A., Calabro, F. J., Foran, W., & Luna, B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116476 · Cited by 147
Kim, H. S., & Hodgins, D. C. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00406 · Cited by 143
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Gong, J., Wang, J., Luo, X., Chen, G., Huang, H., Huang, R., Huang, L., & Wang, Y. (2019) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.180245 · Cited by 131
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Lopez-Gamundi, P., Yao, Y., Chong, T. T. ‐., Heekeren, H. R., Herrero, E. M., & Marco‐Pallarés, J. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.10.024 · Cited by 126
He, Q., Turel, O., Brevers, D., & Bechara, A. (2017) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2017.09.003 · Cited by 109
MacNamara, A., Joyner, K. J., & Klawohn, J. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2022.03.008 · Cited by 122
Andrzejewski, J. A., Greenberg, T., & Carlson, J. M. (2019) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-019-00747-7 · Cited by 100
Nutt, D., Hayes, A., Fonville, L., Zafar, R. R., Palmer, E. O. C., Paterson, L. M., & Lingford-Hughes, A. R. (2021) · Nutrients · doi:10.3390/nu13113938 · Cited by 126
Bjork, J. M., Straub, L. K., Provost, R. G., & Neale, M. C. (2017) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-017-0108-y · Cited by 103
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Zhou, X., Zimmermann, K., Xin, F., Zhao, W., Derckx, R. T., Sassmannshausen, A., Scheele, D., Hurlemann, R., Weber, B., Kendrick, K. M., et al. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.04.006 · Cited by 77
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Montag, C., & Becker, B. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad001 · Cited by 67
Duperrouzel, J. C., Granja, K., Pacheco‐Colón, I., & González, R. (2019) · Journal of Dual Diagnosis · doi:10.1080/15504263.2019.1626030 · Cited by 58
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Yan, H., Xiao, S., Fu, S., Gong, J., Qi, Z., Chen, G., Chen, P., Tang, G., Su, T., Yang, Z., et al. (2023) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13539 · Cited by 47
Bore, M. C., Liu, X., Gan, X., Wang, L., Xu, T., Ferraro, S., Li, L., Zhou, B., Zhang, J., Vatansever, D., et al. (2023) · Psychological Medicine · doi:10.1017/s0033291723003410 · Cited by 46
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Belgers, M., van Eijndhoven, P., Markus, W., Schene, A. H., & Schellekens, A. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11040951 · Cited by 41
Self-citationMcNeill, A. M., Monk, R. L., Qureshi, A., Makris, S., & Heim, D. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0631-3 · Cited by 39
Common neurobiological and psychological underpinnings of gambling and substance-use disorders
Balodis, I. M., & Potenza, M. N. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109847 · Cited by 41
Lee, J., Lee, D., Namkoong, K., & Jung, Y. (2020) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00060 · Cited by 40
Behavioral and brain signatures of substance use vulnerability in childhood
Rapuano, K. M., Rosenberg, M. D., Maza, M. T., Dennis, N. J., Dorji, M., Greene, A. S., Horien, C. L., Scheinost, D., Constable, R. T., & Casey, B. J. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100878 · Cited by 42
Singer, N., Poker, G., Dunsky, N., Nemni, S., Balter, S. R., Doron, M., Baker, T. E., Dagher, A., Zatorre, R. J., & Hendler, T. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120183 · Cited by 35
Grassi, G., Makris, N., & Pallanti, S. (2020) · CNS Spectrums · doi:10.1017/s1092852919000993 · Cited by 35
Liu, L., Potenza, M. N., Lacadie, C., Zhang, J., Yip, S. W., Xia, C., Lan, J., Yao, Y., Deng, L., Park, S. Q., et al. (2020) · Addiction Biology · doi:10.1111/adb.12917 · Cited by 34
The acute and non-acute effects of cannabis on reward processing: A systematic review
Skumlien, M., Langley, C., Lawn, W., Voon, V., Curran, H. V., Roiser, J. P., & Sahakian, B. J. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.09.008 · Cited by 38
The resting-state brain activity signatures for addictive disorders
Zheng, H., Zhai, T., Lin, X., Dong, G., Yang, Y., & Yuan, T. (2024) · Med · doi:10.1016/j.medj.2024.01.008 · Cited by 37
Pettorruso, M., Giuda, D. D., Martinotti, G., Cocciolillo, F., Risio, L. D., Montemitro, C., Camardese, G., Nicola, M. D., Janiri, L., & Giannantonio, M. D. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.02.013 · Cited by 33
Cavicchioli, M., Ramella, P., Vassena, G., Simone, G., Prudenziati, F., Sirtori, F., Movalli, M., & Maffei, C. (2020) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2020.1712411 · Cited by 32
From apathy to addiction: Insights from neurology and psychiatry
Kirschner, M., Rabinowitz, A. G., Singer, N., & Dagher, A. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.109926 · Cited by 37
Hwang, H., Hong, J., Kim, S. M., & Han, D. H. (2020) · Scientific Reports · doi:10.1038/s41598-020-66535-3 · Cited by 39
Reward-Related Brain Activity Prospectively Predicts Increases in Alcohol Use in Adolescents
Swartz, J. R., Weissman, D. G., Ferrer, E. E., Beard, S. J., Fassbender, C., Robins, R. W., Hastings, P. D., & Guyer, A. E. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2019.05.022 · Cited by 37
Anticipatory feelings: Neural correlates and linguistic markers
Stefanova, E. D., Dubljević, O., Herbert, C., Fairfield, B., Schroeter, M. L., Stern, E. R., Urben, S., Derntl, B., Wiebking, C., Brown, C. S., et al. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.02.015 · Cited by 33
Decreased reward-related brain function prospectively predicts increased substance use.
Bart, C. P., Nusslock, R., Ng, T. H., Titone, M. K., Carroll, A., Damme, K. S. F., Young, C. B., Armstrong, C. C., Chein, J. M., & Alloy, L. B. (2021) · Journal of Abnormal Psychology · doi:10.1037/abn0000711 · Cited by 36
Romer, A. L., Kang, M. S., Nikolova, Y. S., Gearhardt, A. N., & Hariri, A. R. (2018) · Appetite · doi:10.1016/j.appet.2018.09.010 · Cited by 36
Linnet, J. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109802 · Cited by 41
Yao, Y., Liu, L., Worhunsky, P. D., Lichenstein, S. D., Ma, S., Zhu, L., Shi, X., Yang, S., Zhang, J., & Yip, S. W. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102202 · Cited by 31
Metadata
- Authors
- Luijten, M., Schellekens, A. F., Kühn, S., Machielse, M. W. J., & Sescousse, G.
- Affiliations
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- University Medical Center Hamburg-Eppendorf (DE)
- Amsterdam UMC Location University of Amsterdam (NL)
- Corresponding author
- Luijten, Maartje
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2017-04-01
- Volume
- 74
- Issue
- 4
- Pages
- 387
- ISSN
- 2168-622X (ISSN-L)
- OpenAlex
- W2584830124
- Cited by
- 402
- References
- 81
- Citations by year
- 2026: 44 · 2025: 37 · 2024: 24 · 2023: 43 · 2022: 47 · 2021: 48 · 2020: 55 · 2019: 49 · 2018: 40 · 2017: 14
- FWCI
- 5.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- reward processing, addiction, striatal dysfunction, reward anticipation, reward outcome, monetary rewards, substance use disorders, gambling addiction, ventral striatum, dorsal striatum, brain activation
- MeSH terms
- Adult, Brain, Brain Mapping, Female, Gambling, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Motivation, Reference Values, Reward, Software, Substance-Related Disorders, Anticipation, Psychological
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