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Common and distinct networks underlying reward valence and processing stages: A meta-analysis of functional neuroimaging studies
Open accessAbstract
To better understand the reward circuitry in human brain, we conducted activation likelihood estimation (ALE) and parametric voxel-based meta-analyses (PVM) on 142 neuroimaging studies that examined brain activation in reward-related tasks in healthy adults. We observed several core brain areas that participated in reward-related decision making, including the nucleus accumbens (NAcc), caudate, putamen, thalamus, orbitofrontal cortex (OFC), bilateral anterior insula, anterior cingulate cortex (ACC) and posterior cingulate cortex (PCC), as well as cognitive control regions in the inferior parietal lobule and prefrontal cortex (PFC). The NAcc was commonly activated by both positive and negative rewards across various stages of reward processing (e.g., anticipation, outcome, and evaluation). In addition, the medial OFC and PCC preferentially responded to positive rewards, whereas the ACC, bilateral anterior insula, and lateral PFC selectively responded to negative rewards. Reward anticipation activated the ACC, bilateral anterior insula, and brain stem, whereas reward outcome more significantly activated the NAcc, medial OFC, and amygdala. Neurobiological theories of reward-related decision making should therefore take distributed and interrelated representations of reward valuation and valence assessment into account.
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“Nevertheless, we are confident that the receipt-related effects reported here are robust and reliable based on the size of the sample we used as well as the clear main task effect of receipt (irrespective of group) that is in line with previous reports 47.”
From Increased neural responses to reward in adolescents and young adults with attention-deficit/hyperactivity disorder and their unaffected siblings (2015) · cites this paper as [47]
The cited source says what the claim attributes to it.
In the citing paper
“Indeed, striatal structures are known to show biphasic responses, making them capable of responding to positive (reward) as well as negative (punishment) stimulation.47”
From Increased neural responses to reward in adolescents and young adults with attention-deficit/hyperactivity disorder and their unaffected siblings (2015) · cites this paper as [47]
In the citing paper
“The ACC plays a central role in processing positively valenced emotions [239] and other rewards [240], and in coding value representations of anticipated rewards [241]”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [240]
In the citing paper
“Contrasting adolescent reward processing with the existing ALE of adult reward processing (Liu et al., 2011) reveals increased likelihood for activation in limbic, frontolimbic, and striatal regions in adolescents compared with adults.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al., 2011
In the citing paper
“However, in support of our predictions, contrast analyses revealed an increased likelihood for activation in adolescents compared with adults in the bilateral ventral and dorsal striatum, insula, OFC, anterior cingulate cortex (ACC), PCC, frontal opercular regions, paracingulate gyrus, subcallosal cortex; right amygdala, right occipital pole; and left lateral occipital cortex.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al. (2011)
In the citing paper
“These regions overlap the subcortical regions identified in similar ALEs of adult reward processing (Liu et al., 2011; Bartra et al., 2013) and include major dopaminergic projection regions”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al., 2011
In the citing paper
“A major finding of the current analysis is that adolescents and adults varied in activations during reward processing as supported by descriptive comparisons between our overall ALE and findings reported by Liu et al. (2011) as well as our contrast analysis.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al. (2011)
In the citing paper
“it has not yet been confirmed that, across studies, adolescents reliably activate the same regions during reward based processing as do adults (McClure et al., 2004; Liu et al., 2011; Bartra et al., 2013).”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al., 2011
In the citing paper
“using the coordinates for the overall adult reward processing ALE provided by Liu and colleagues (2011) and the thresholding parameters outlined in their manuscript, we reproduced the findings reported in their study as a validation check of our procedures.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al., 2011
In the citing paper
“No significant neural substrates were found in the contrast of negative greater than positive valence processing.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al. (2011)
In the citing paper
“Notably, previous studies on adolescent reward processing have relied on studies of adult reward processing (Liu et al., 2011) for guiding hypothesis testing and ROI analyses (e.g., Lorenz et al., 2014).”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al., 2011
In the citing paper
“Notably, Liu et al. (2011) also reported strong activation likelihoods for numerous regions of the dorsal and ventral prefrontal cortex as well as superior and inferior parietal areas.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al., 2011
In the citing paper
“Liu et al. (2011) found a significant likelihood of nucleus accumbens and OFC activation in adults’ processing of reward outcomes versus anticipation.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Liu et al. (2011)
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Citations
Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
How do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657 · cited 1×
“N IH -PA Author M anuscript N IH -PA Author M anuscript N IH -PA Author M anuscript interoception, emotion and empathy (Craig, 2002, 2009; Gu et al., 2010; Phan et al., 2002), and risk and uncertainty assessment (Critchley et al., 2001; Kuhnen and Knutson, 2005; Paulus et al., 2003), lending its…”
How do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
Functional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI
Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002) · NeuroImage · doi:10.1006/nimg.2002.1087 · Cited by 3,502
The neural basis of economic decision-making in the Ultimatum Game.
Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2003) · Science · doi:10.1126/science.1082976 · Cited by 3,375
Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-j0002.2001 · Cited by 2,244
Cortical substrates for exploratory decisions in humans
Daw, N. D., O'Doherty, J. P., Dayan, P., Seymour, B., & Dolan, R. J. (2006) · Nature · doi:10.1038/nature04766 · Cited by 2,224
The human orbitofrontal cortex: linking reward to hedonic experience
Kringelbach, M. L. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1747 · Cited by 2,180
Cited by
Sorted by citations
Items 201–300 of 916
Kroemer, N. B., Guevara, A., Ciocanea Teodorescu, I., Wuttig, F., Kobiella, A., & Smolka, M. N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.060 · Cited by 64
Altered Reward Processing in Adolescents With Prenatal Exposure to Maternal Cigarette Smoking
Müller, K. U. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.44 · Cited by 64
A Multidimensional View on Social and Non-Social Rewards
Matyjek, M., Meliß, S., Dziobek, I., & Murayama, K. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00818 · Cited by 69
Principal components analysis of reward prediction errors in a reinforcement learning task
Sambrook, T. D., & Goslin, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.032 · Cited by 69
Gradin, V. B., Baldacchino, A., Balfour, D. J. K., Matthews, K., & Steele, J. D. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.289 · Cited by 64
Two spatiotemporally distinct value systems shape reward-based learning in the human brain
Fouragnan, E. F., Retzler, C., Mullinger, K. J., & Philiastides, M. G. (2015) · Nature Communications · doi:10.1038/ncomms9107 · Cited by 64
The neural signature of satiation is associated with ghrelin response and triglyceride metabolism
Sun, X., Veldhuizen, M. G., Wray, A. E., de Araújo, I. E., Sherwin, R. S., Sinha, R., & Small, D. M. (2014) · Physiology & Behavior · doi:10.1016/j.physbeh.2014.04.017 · Cited by 66
Medial-lateral Organization of the Orbitofrontal Cortex
Rich, E. L., & Wallis, J. D. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00573 · Cited by 65
Pervasive competition between threat and reward in the brain
Choi, J. M., Padmala, S., Spechler, P. A., & Pessoa, L. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst053 · Cited by 64
Accelerated aging of the putamen in patients with major depressive disorder
Sacchet, M. D., Camacho, M. C., Livermore, E. E., Thomas, E. A. C., & Gotlib, I. H. (2017) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.160010 · Cited by 63
Nock, N. L., Minnes, S., & Alberts, J. L. (2017) · Birth Defects Research · doi:10.1002/bdr2.1182 · Cited by 61
Knutson, B. D., & Huettel, S. A. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.10.012 · Cited by 61
Negative and interactive effects of sex, aging, and alcohol abuse on gray matter morphometry
Thayer, R. E., Hagerty, S. L., Sabbineni, A., Claus, E. D., Hutchison, K. E., & Weiland, B. J. (2016) · Human Brain Mapping · doi:10.1002/hbm.23172 · Cited by 61
Altruistic behavior: mapping responses in the brain
Filkowski, M. M., Cochran, R. N., & Haas, B. W. (2016) · Neuroscience and Neuroeconomics · doi:10.2147/nan.s87718 · Cited by 64
Kujawa, A., Klein, D. N., Pegg, S. L., & Weinberg, A. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100791 · Cited by 65
Directive and incentive functions of affective action consequences: An ideomotor approach
Eder, A. B., Rothermund, K., De Houwer, J., & Hommel, B. (2015) · Psychological Research · doi:10.1007/s00426-014-0590-4 · Cited by 60
Chen, Y., Chaudhary, S., & Li, C. R. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119764 · Cited by 62
Imaging learned fear circuitry in awake mice using fMRI
Harris, A. P., Lennen, R. J., Marshall, I., Jansen, M. A., Pernet, C. R., Brydges, N. M., Duguid, I., & Holmes, M. C. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12939 · Cited by 60
Chantiluke, K., Barrett, N., Giampietro, V., Brammer, M., Simmons, A., Murphy, D. G., & Rubia, K. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht365 · Cited by 59
Impact of aging on frontostriatal reward processing
Vink, M., Kleerekooper, I., van den Wildenberg, W. P. M., & Kahn, R. S. (2015) · Human Brain Mapping · doi:10.1002/hbm.22771 · Cited by 60
Nawijn, L., van Zuiden, M., Koch, S. B. J., Frijling, J. L., Veltman, D. J., & Olff, M. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.01.020 · Cited by 60
Yip, S. W., DeVito, E. E., Hedy Kober, A., Worhunsky, P. D., Carroll, K. M., & Potenza, M. N. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.03.031 · Cited by 60
Fan, J., Dam, N. T. V., Gu, X., Liu, X., Wang, H., Tang, C. Y., & Hof, P. R. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00554 · Cited by 60
Self-citationGonzalez, M. Z., Allen, J. P., & Coan, J. A. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.10.003 · Cited by 58
Choosing to view morbid information involves reward circuitry
Oosterwijk, S., Snoek, L., Koppele, J. T., Engelbert, L. H., & Scholte, H. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-71662-y · Cited by 59
Tudge, L., Williams, C., Cowen, P. J., & McCabe, C. (2015) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyu094 · Cited by 57
Norman, L. J., Carlisi, C. O., Christakou, A., Murphy, C. M., Chantiluke, K. C., Giampietro, V., Simmons, A., Brammer, M. J., Mataix‐Cols, D., & Rubia, K. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.009 · Cited by 61
Jiang, T., Soussignan, R., Carrier, E., & Royet, J. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00117 · Cited by 59
A data-driven framework for mapping domains of human neurobiology
Beam, E., Potts, C., Poldrack, R. A., & Etkin, A. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00948-9 · Cited by 63
Opel, N., Redlich, R., Grotegerd, D., Dohm, K., Haupenthal, C., Heindel, W. L., Kugel, H., Arolt, V., & Dannlowski, U. (2015) · Human Brain Mapping · doi:10.1002/hbm.22773 · Cited by 59
Walsh, E. C., Carl, H., Eisenlohr-Moul, T. A., Minkel, J. D., Crowther, A., Moore, T. M., Gibbs, D. E., Petty, C., Bizzell, J., Smoski, M. J., et al. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.179 · Cited by 56
Greene, R. K., Spanos, M., Alderman, C., Walsh, E., Bizzell, J., Mosner, M. G., Kinard, J. L., Stuber, G. D., Chandrasekhar, T., Politte, L. C., et al. (2018) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-018-9228-y · Cited by 55
Serotonergic modulation of reward and punishment: evidence from pharmacological fMRI studies
Macoveanu, J. (2014) · Brain Research · doi:10.1016/j.brainres.2014.02.003 · Cited by 55
The angular gyrus and visuospatial attention in decision-making under risk
Studer, B., Cen, D., & Walsh, V. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.003 · Cited by 60
Murray, E., Brouwer, S., McCutcheon, R. A., Harmer, C. J., Cowen, P. J., & McCabe, C. (2014) · Psychopharmacology · doi:10.1007/s00213-014-3573-7 · Cited by 55
Foti, D., Weinberg, A., Dien, J., & Hajcak, G. (2011) · Human Brain Mapping · doi:10.1002/hbm.21357 · Cited by 55
Abend, R., Sar-El, R., Gonen, T., Jalon, I., Vaisvaser, S., Bar‐Haim, Y., & Hendler, T. (2018) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.12787 · Cited by 55
Brain networks of perceptual decision-making: an fMRI ALE meta-analysis
Keuken, M. C., Müller-Axt, C., Langner, R., Eickhoff, S. B., Forstmann, B. U., & Neumann, J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00445 · Cited by 60
Reward-based spatial learning in unmedicated adults with obsessive-compulsive disorder
Marsh, R., Tau, G. Z., Wang, Z., Huo, Y., Liu, G., Hao, X., Packard, M. G., Peterson, B. S., & Simpson, H. B. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13121700 · Cited by 53
Affective value and associative processing share a cortical substrate
Shenhav, A., Barrett, L. F., & Bar, M. (2012) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-012-0128-4 · Cited by 58
Bernhardt, N. R., Nebe, S., Pooseh, S., Sebold, M., Sommer, C., Birkenstock, J., Zimmermann, U. S., Heinz, A., & Smolka, M. N. (2017) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13481 · Cited by 58
Pathways to the persistence of drug use despite its adverse consequences
McNally, G. P., Jean-Richard-dit-Bressel, P., Millan, E. Z., & Lawrence, A. J. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02040-z · Cited by 58
Neural and Behavioral Correlates of Alcohol-Induced Aggression Under Provocation
Gan, G., Sterzer, P., Marxen, M., Zimmermann, U. S., & Smolka, M. N. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.141 · Cited by 51
Patterns of brain activity associated with nostalgia: a social-cognitive neuroscience perspective
Yang, Z., Wildschut, T., Izuma, K., Gu, R., Luo, Y. L. L., Cai, H., & Sedikides, C. (2022) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsac036 · Cited by 56
Mathiak, K. A., Alawi, E. M., Koush, Y., Dyck, M., Cordes, J. S., Gaber, T. J., Zepf, F. D., Palomero‐Gallagher, N., Sarkheil, P., Bergert, S., et al. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00136 · Cited by 55
Mechanisms of Reward Circuit Dysfunction in Psychiatric Illness
Pujara, M. S., & Koenigs, M. R. (2013) · The Neuroscientist · doi:10.1177/1073858413499407 · Cited by 51
Konova, A. B., Moeller, S. J., Tomasi, D. G., Parvaz, M. A., Alia‐Klein, N., Volkow, N. D., & Goldstein, R. Z. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08211.x · Cited by 51
Dvorak, R. D., Pearson, M. R., Sargent, E. M., Stevenson, B. L., & Mfon, A. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.09.034 · Cited by 51
A Social-Interactive Neuroscience Approach to Understanding the Developing Brain
Redcay, E., & Warnell, K. R. (2017) · Advances in child development and behavior · doi:10.1016/bs.acdb.2017.10.001 · Cited by 55
Zimmermann, K., Yao, S., Heinz, M., Zhou, F., Dau, W., Banger, M., Weber, B., Hurlemann, R., & Becker, B. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4803-6 · Cited by 54
Blunted Neural Reward Responsiveness in Children With Recent Suicidal Ideation
Tsypes, A., Owens, M., & Gibb, B. E. (2019) · Clinical Psychological Science · doi:10.1177/2167702619856341 · Cited by 51
Chuan-Peng, H., Huang, Y., Eickhoff, S. B., Peng, K., & Sui, J. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00827-z · Cited by 52
Disordered reward processing and functional connectivity in trichotillomania: A pilot study
White, M. P., Shirer, W. R., Molfino, M. J., Tenison, C., Damoiseaux, J. S., & Greicius, M. D. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.05.014 · Cited by 53
Gleich, T., Lorenz, R. C., Gallinat, J., & Kühn, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.032 · Cited by 50
Cao, H., McEwen, S. C., Forsyth, J. K., Gee, D. G., Bearden, C. E., Addington, J., Goodyear, B. G., Cadenhead, K. S., Mirzakhanian, H., Cornblatt, B. A., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy032 · Cited by 51
Sex differences in default mode and dorsal attention network engagement
Dumais, K. M., Chernyak, S. V., Nickerson, L. D. H., & Janes, A. C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0199049 · Cited by 52
Korgaonkar, M. S., Erlinger, M., Breukelaar, I. A., Boyce, P. M., Hazell, P., Antees, C., Foster, S., Grieve, S. M., Gomes, L. J., Williams, L. M., et al. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.08.012 · Cited by 50
Moeller, S. J., Tomasi, D. G., Woicik, P. A., Maloney, T., Alia‐Klein, N., Honorio, J., Telang, F., Wang, G., Wang, R., Sinha, R., et al. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00440.x · Cited by 51
Dohm, K., Redlich, R., Zwitserlood, P., & Dannlowski, U. (2016) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867416661426 · Cited by 49
The role of reward and reward uncertainty in episodic memory
Mason, A., Farrell, S., Howard‐Jones, P. A., & Ludwig, C. J. H. (2017) · Journal of Memory and Language · doi:10.1016/j.jml.2017.05.003 · Cited by 58
Sequeira, S. L., Silk, J. S., Ladouceur, C. D., Hanson, J. L., Ryan, N. D., Morgan, J. K., McMakin, D. L., Kendall, P. C., Dahl, R. E., & Forbes, E. E. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20010094 · Cited by 50
Soehner, A. M., Bertocci, M. A., Manelis, A., Bebko, G. M., Ladouceur, C. D., Graur, S., Monk, K., Bonar, L. K., Hickey, M. B., Axelson, D., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.03.074 · Cited by 49
Stability and Variability in Aesthetic Experience: A Review
Jacobsen, T., & Beudt, S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00143 · Cited by 54
Visual Feedback of Tongue Movement for Novel Speech Sound Learning
Katz, W. F., & Mehta, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00612 · Cited by 56
Neural response to eye contact and paroxetine treatment in generalized social anxiety disorder
Schneier, F. R., Pomplun, M., Sy, M., & Hirsch, J. (2011) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.08.006 · Cited by 49
Adolescent neural response to reward is related to participant sex and task motivation
Alarcón, G., Cservenka, A., & Nagel, B. J. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.10.003 · Cited by 51
Ivanov, I., Parvaz, M. A., Velthorst, E., Shaik, R., Sandin, S., Gan, G., Spechler, P. A., Albaugh, M. D., Chaarani, B., Mackey, S., et al. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.08.443 · Cited by 48
Wang, L., Yang, G., Zheng, Y., Li, Z., Qi, Y., Li, Q., & Liu, X. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00003 · Cited by 47
Self-citationBissonette, G. B., Gentry, R. N., Padmala, S., Pessoa, L., & Roesch, M. R. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00024 · Cited by 49
Neural reward responsiveness in children who engage in nonsuicidal self‐injury: an ERP study
Tsypes, A., Owens, M., Hajcak, G., & Gibb, B. E. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12919 · Cited by 46
Contextual valence modulates the neural dynamics of risk processing
Zheng, Y., Li, Q., Wang, K., Wu, H., & Liu, X. (2015) · Psychophysiology · doi:10.1111/psyp.12415 · Cited by 47
Self-citationAge differences in default and reward networks during processing of personally relevant information
Grady, C. L., Grigg, O., & Ng, C. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.03.024 · Cited by 48
An anterior–posterior axis within the ventromedial prefrontal cortex separates self and reward
Yankouskaya, A., Humphreys, G. W., Stolte, M., Stokes, M. G., Moradi, Z., & Sui, J. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx112 · Cited by 45
Hien, D. A., López‐Castro, T., Fitzpatrick, S., Ruglass, L. M., Fertuck, E. A., & Melara, R. D. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.05.022 · Cited by 46
Yang, Y., Wu, Q., & Morys, F. (2021) · Brain Sciences · doi:10.3390/brainsci11121587 · Cited by 45
Takeuchi, H., Taki, Y., Sekiguchi, A., Hashizume, H., Nouchi, R., Sassa, Y., Kotozaki, Y., Miyauchi, C. M., Yokoyama, R., Iizuka, K., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22739 · Cited by 44
Representational Similarity of Social and Valence Information in the Medial pFC
Chavez, R. S., & Heatherton, T. F. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00697 · Cited by 44
Presentation and Neurobiology of Anhedonia in Mood Disorders: Commonalities and Distinctions
Rizvi, S. J., Lambert, C. M., & Kennedy, S. H. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0877-z · Cited by 49
Reward Responsiveness in Suicide Attempters: An Electroencephalography/Event-Related Potential Study
Tsypes, A., Owens, M., & Gibb, B. E. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.04.003 · Cited by 44
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Joensson, M., Thomsen, K. R., Andersen, L. M., Groß, J., Mouridsen, K., Sandberg, K., Østergaard, L., & Lou, H. C. (2015) · Human Brain Mapping · doi:10.1002/hbm.22742 · Cited by 43
Müller, K. U., Gan, G., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Büchel, C., Conrod, P., Fauth‐Bühler, M., Flor, H., Gallinat, J., et al. (2014) · Addiction Biology · doi:10.1111/adb.12136 · Cited by 43
Neural response to reward anticipation in those with depression with and without panic disorder
Gorka, S. M., Huggins, A. A., Fitzgerald, D. A., Nelson, B. D., Phan, K. L., & Shankman, S. A. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.04.019 · Cited by 48
Koch, K., Wagner, G., Schachtzabel, C., Schultz, C. C., Güllmar, D., Reichenbach, J. R., Sauer, H., Zimmer, C., & Schlösser, R. G. M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22284 · Cited by 42
Dugre, J. R., & Potvin, S. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.03.005 · Cited by 47
Balasubramani, P. P., Chakravarthy, V. S., Ravindran, B., & Moustafa, A. A. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00076 · Cited by 45
The brain network for self-feeling: A symptom-lesion mapping study
Grossi, D., Vita, A. D., Palermo, L., Sabatini, U., Trojano, L., & Guariglia, C. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.08.004 · Cited by 45
Serotonin 2A receptors contribute to the regulation of risk-averse decisions
Macoveanu, J., Rowe, J. B., Hornbøll, B., Elliott, R., Paulson, O. B., Knudsen, G. M., & Siebner, H. R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.063 · Cited by 43
van Holst, R. J., Chase, H. W., & Clark, L. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.06.008 · Cited by 45
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Warnell, K. R., Sadikova, E., & Redcay, E. (2017) · Developmental Science · doi:10.1111/desc.12581 · Cited by 45
Basal ganglia lateralization in different types of reward
Arsalidou, M., Vijayarajah, S., & Sharaev, M. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00215-3 · Cited by 43
Nikolic, M., Pezzoli, P., Jaworska, N., & Seto, M. C. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110596 · Cited by 41
A mesocorticolimbic signature of pleasure in the human brain
Kragel, P. A., Treadway, M. T., Admon, R., Pizzagalli, D. A., & Hahn, E. C. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01639-0 · Cited by 44
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Studer, B., Apergis-Schoute, A. M., Robbins, T. W., & Clark, L. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00046 · Cited by 44
Neural circuits in the brain that are activated when mitigating criminal sentences
Yamada, M., Camerer, C. F., Fujie, S., Kato, M., Matsuda, T., Takano, H., Ito, H., Suhara, T., & Takahashi, H. (2012) · Nature Communications · doi:10.1038/ncomms1757 · Cited by 43
Interactions between reward and threat during visual processing
Hu, K., Padmala, S., & Pessoa, L. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.05.025 · Cited by 41
Pläschke, R. N., Cieslik, E. C., Müller, V. I., Hoffstaedter, F., Plachti, A., Varikuti, D. P., Gooßes, M., Latz, A., Caspers, S., Jockwitz, C., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23763 · Cited by 41
Frontostriatal network dysfunction as a domain‐general mechanism underlying phantom perception
Hullfish, J., Abenes, I., Yoo, H. B., Ridder, D. D., & Vanneste, S. (2019) · Human Brain Mapping · doi:10.1002/hbm.24521 · Cited by 44
Gould, R. W., Gage, H. D., & Nader, M. A. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.05.001 · Cited by 41
Pujara, M. S., Wolf, R. C., Başkaya, M. K., & Koenigs, M. R. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.10.026 · Cited by 46
Solomonov, N., Victoria, L. W., Lyons, K., Phan, D. K., Alexopoulos, G. S., Gunning, F. M., & Flückiger, C. (2022) · SSRN Electronic Journal · doi:10.1016/j.bbr.2023.114632 · Cited by 44
Metadata
- Authors
- Liu, X., Hairston, J., Schrier, M., & Fan, J.
- Affiliations
- Chinese Academy of Sciences (CN)
- Icahn School of Medicine at Mount Sinai (US)
- Queens College, CUNY (US)
- Corresponding author
- Liu, Xun
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 35
- Issue
- 5
- Pages
- 1219-1236
- ISSN
- 0149-7634 (ISSN-L)
- PMC
- PMC3395003
- OpenAlex
- W2131675069
- Semantic Scholar
- 2ad686808fa437bceed156b160d64b167847da84
- Cited by
- 916
- References
- 196
- Citations by year
- 2026: 33 · 2025: 59 · 2024: 50 · 2023: 58 · 2022: 50 · 2021: 70 · 2020: 69 · 2019: 55 · 2018: 68 · 2017: 71 · 2016: 68 · 2015: 71 · 2014: 96 · 2013: 49 · 2012: 36
- FWCI
- 2.34
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion, cc-by-nc-sa)
- Funders
- National Institute of Mental Health (R21MH083164)
- 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 › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Keywords
- reward processing, reward valence, reward systems, nucleus accumbens, orbitofrontal cortex, anterior insula, anterior cingulate cortex, posterior cingulate cortex, thalamus, caudate and putamen, reward anticipation, reward outcome, amygdala, cognitive control
- MeSH terms
- Brain, Brain Mapping, Diagnostic Imaging, Humans, Functional Laterality, Neural Pathways, Reward, Likelihood Functions, Databases, Factual
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