The DOI matches its Crossref record; 196 of the 196 references it cites were found in a registry or an index.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“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)
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
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 701–800 of 916
Imada, Y., Takumi, T., Aoyama, H., Sadatomo, T., & Kurisu, K. (2021) · Neurologia medico-chirurgica · doi:10.2176/nmc.oa.2020-0192 · Cited by 5
Tangmose, K., Rostrup, E., Bojesen, K. B., Sigvard, A. K., Glenthoj, B. Y., & Nielsen, M. Ø. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115308 · Cited by 5
Anticipatory and consummatory neural correlates of monetary and music rewarding stimuli
Díez, I., Fàbrega-Camps, G., Parra-Tíjaro, J., & Marco‐Pallarés, J. (2024) · Brain and Cognition · doi:10.1016/j.bandc.2024.106186 · Cited by 5
Unraveling the neural dichotomy of consensus and idiosyncratic experiences in short video viewing
Li, M., Huang, H., Zhou, K., & Meng, M. (2025) · Brain and Cognition · doi:10.1016/j.bandc.2024.106260 · Cited by 5
Common and distinct neural substrates of the money illusion in win and loss domains
Huang, Y., & Yu, R. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.032 · Cited by 5
Basal ganglia activation localized in MEG using a reward task
Sepe-Forrest, L., Carver, F. W., Quentin, R., Holroyd, T., & Nugent, A. C. (2021) · Neuroimage Reports · doi:10.1016/j.ynirp.2021.100034 · Cited by 5
Aziz, H. C., & Mangieri, R. A. (2024) · Biology of Sex Differences · doi:10.1186/s13293-024-00631-1 · Cited by 6
Aung, M. N., Somboonwong, J., Jaroonvanichkul, V., & Wannakrairot, P. (2016) · Mind Brain and Education · doi:10.1111/mbe.12121 · Cited by 7
Effects of Levodopa on Impairments to High-Level Vision in Parkinson's Disease
Anderson, S., & Stegemöller, E. L. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00708 · Cited by 5
Differential Effects of Trait Empathy on Functional Network Centrality
Moorthigari, V., Carlson, E. J., Toiviainen, P., Brattico, E., & Alluri, V. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59277-6_10 · Cited by 5
Davydova, T., Marín-Marín, L., Vives, M., Pérez, M. B., Rubio, E. C., Visser, M., & Costumero, V. (2025) · Bilingualism Language and Cognition · doi:10.1017/s1366728925100187 · Cited by 4
Chakravarthula, L. N. C., & Padmala, S. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad067 · Cited by 4
From learned value to sustained bias: how reward conditioning changes attentional priority
Meyer, K. N., Hopfinger, J. B., Vidrascu, E. M., Boettiger, C. A., Robinson, D. L., & Sheridan, M. A. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1354142 · Cited by 5
Zhai, J., Zhang, X., Wang, X., Xu, Z., Yao, X., Zhang, Y., Fan, L., Wu, L., & Wang, J. (2025) · Communications Biology · doi:10.1038/s42003-025-08417-w · Cited by 4
Güth, M. R., Reid, A., Zhang, Y., Huntgeburth, S. C., Mill, R. D., Dagher, A., Kerns, K., Holroyd, C. B., Petrides, M., Cole, M. W., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.105 · Cited by 4
Rodrigues, F. L. N., Martín, S. C., & Pocinho, R. F. D. S. (2025) · Digital · doi:10.3390/digital5030037 · Cited by 4
Zhao, H., Wei, Z., Feng, T., & Feng, P. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-03028-x · Cited by 4
Arousability, Personality, and Decision-Making Ability in Dissociative Disorder
Ghosh, D., Mukhopadhyay, P., Chatterjee, I., & Roy, P. K. (2021) · Indian Journal of Psychological Medicine · doi:10.1177/0253717620981555 · Cited by 4
Local and distributed cortical markers of effort expenditure during sustained goal pursuit
Patrick, L. M., Anderson, K. M., & Holmes, A. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118602 · Cited by 4
Temporal Dynamics of Neural Response to Drug Cues in abstinent Methamphetamine Users
Soleymani, M. B., Sangchooli, A., Ebrahimpoor, M., Najafi, M. A., Vahdat, B. V., Shahbabaie, A., Oghabian, M. A., & Ekhtiari, H. (2021) · Basic and Clinical Neuroscience Journal · doi:10.32598/bcn.2021.3126.1 · Cited by 4
Shany, O., Dunsky, N., Gilam, G., Greental, A., Gilboa‐Schechtman, E., & Hendler, T. (2022) · Psychological Medicine · doi:10.1017/s0033291722001453 · Cited by 4
A 5-min paradigm to evoke robust emotional reactivity in neuroimaging studies
Sabatinelli, D., Winker, C., Farkas, A. H., Rehbein, M. A., & Junghoefer, M. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1102213 · Cited by 4
Ventromedial Prefrontal Cortex and Ventral Striatum Volumes in Patients with Alcohol Use Disorder
Tabara, M. F., Koç, M., Gürok, M. G., Baykara, S., Korkmaz, S., Mermi, O., & Atmaca, M. (2023) · Alcoholism Treatment Quarterly · doi:10.1080/07347324.2023.2299258 · Cited by 4
Wang, Y., & Yao, X. (2024) · Physiology & Behavior · doi:10.1016/j.physbeh.2024.114481 · Cited by 4
Zuo, L., Ai, K., Liu, W., Qiu, B., Tang, R., Fu, J., Yang, P., Kong, Z., Song, H., Zhu, X., et al. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.05.005 · Cited by 4
Brain signatures of catastrophic events: Emotion, salience, and cognitive control
Mas‐Cuesta, L., Baltruschat, S., Cándido, A., & Catena, A. (2024) · Psychophysiology · doi:10.1111/psyp.14674 · Cited by 4
New perspectives on neural systems models of adolescent behavior: Functional brain connectivity
Carlisi, C. O., Pavletić, N., & Ernst, M. (2013) · Neuropsychiatrie de l Enfance et de l Adolescence · doi:10.1016/j.neurenf.2013.02.003 · Cited by 4
DBS for Obsessive-Compulsive Disorder
Sharma, M., Saleh, E., Deogaonkar, M. S., & Rezai, A. R. (2014) · Springer eBooks · doi:10.1007/978-94-017-9576-0_11 · Cited by 4
Expected Value of Reward Predicts Episodic Memory for Incidentally Learnt Reward-Item Associations
Mason, A., Lorimer, A., & Farrell, S. (2019) · Collabra Psychology · doi:10.1525/collabra.217 · Cited by 7
Jo, S., Kim, H., Lustig, N., Chen, G., & Lee, J. (2021) · Human Brain Mapping · doi:10.1002/hbm.25627 · Cited by 4
RISK aversion in Italian forensic and non-forensic patients with schizophrenia spectrum disorders
Canessa, N., Iozzino, L., Andreose, S., Castelletti, L., Conte, G. L., Dvorak, A., Ferrari, C., Heitzman, J., Macis, A., Markiewicz, I., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289152 · Cited by 4
Li, X., Xu, S., Fang, Z., & Smith, A. (2020) · Neuroscience Letters · doi:10.1016/j.neulet.2019.134720 · Cited by 5
Lombard, E., Aberg, K. C., Bavelier, D., & Schwartz, S. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01660 · Cited by 4
Dessel, J. V., Danckaerts, M., Moerkerke, M., der Oord, S. V., Morsink, S., Lemiere, J., & Sonuga-Barke, E. J. S. (2021) · Brain and Cognition · doi:10.1016/j.bandc.2021.105723 · Cited by 5
Brislin, S. J., Weigard, A. S., Hardee, J. E., Cope, L. M., Martz, M. E., Zucker, R. A., & Heitzeg, M. M. (2021) · Clinical Psychological Science · doi:10.1177/21677026211054780 · Cited by 4
Nikolic, M., Pezzoli, P., Jaworska, N., & Seto, M. C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.11.475895 · Cited by 4
A Novel Diathesis-Stress Model of Comorbid Early Onset Psychiatric DisordersPreprint
Caswell, C. B., Hosseini‐Kamkar, N., Cox, S. M. L., Prada, N. P., Iqbal, M., Nikolic, M., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Brühl, R., et al. (2025) · medRxiv · doi:10.1101/2025.04.08.25325481 · Cited by 4
Altered Neural Activity during Negative Reinforcement in People with Obsessive-Compulsive Disorder
Panny, B., Price, R. B., Wears, A., & Ahmari, S. E. (2024) · Cognitive Therapy and Research · doi:10.1007/s10608-024-10475-z · Cited by 3
Nucleus accumbens dynamics in food reward seeking and regulation by sleep
Rojo, A. L. A., Cai, L., Barnhardt, T. R., & Huang, Y. H. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03442-z · Cited by 3
Aesthetic appreciation correlates positively with putamen and inferior temporal gyrus
Kokubun, K., Nemoto, K., & Yamakawa, Y. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115750 · Cited by 3
Liao, K., Liu, Q., Yu, R., Chen, X., Wu, X., Peng, S., Li, Y., Li, H., Yang, X., & Liu, N. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111574 · Cited by 3
Lee, S. E., Kim, D., & Han, Y. (2019) · Nordic Journal of Music Therapy · doi:10.1080/08098131.2019.1623297 · Cited by 3
Dugre, J. R., & Potvin, S. (2023) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-023-01143-z · Cited by 4
Zheng, X., Zhou, F., Fu, M., Xu, L., Wang, J., Li, J., Li, K., Sindermann, C., Montag, C., Becker, B., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02889-w · Cited by 3
A U-shaped relationship between chronic academic stress and the dynamics of reward processing
Yi, W., Chen, W., Lan, B., Yan, L., Hu, X., & Wu, J. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120849 · Cited by 3
Dobbelaar, S., Kellij, S., Veenstra, R., & Güroğlu, B. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101499 · Cited by 3
Ventromedial prefrontal cortex lesions disrupt learning to reward others
Gueguen, M., Cutler, J., Drew, D., Apps, M. A. J., Jeyaretna, D. S., Husain, M., Manohar, S., & Lockwood, P. L. (2025) · Brain · doi:10.1093/brain/awaf056 · Cited by 4
Temporal dynamic changes of intrinsic brain regional activity in depression with smoking
Zhong, M., Hou, W., Liu, Z., Wang, F., Yang, J., Xu, Y., Long, X., Chen, Y., Kang, Y., Wang, Y., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.02.061 · Cited by 3
Neural similarity and interaction success in autistic and non-autistic adolescents
McNaughton, K. A., Dziura, S. L., Lemay, E. P., Yarger, H. A., & Redcay, E. (2025) · Scientific Reports · doi:10.1038/s41598-025-91176-9 · Cited by 4
Breithaupt, L. E., Slattery, M. J., Lauze, M., Petterway, F., Lindman, L., Cravitz, M., Naticchia, S., Seenivasa, S., Powers, M., Javaras, K. N., et al. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.107924 · Cited by 3
Wang, S., Zhang, L., Yang, Z., Liu, S., Wang, X., Li, Y., Xu, Y. J., & Zhao, W. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111454 · Cited by 3
Ding, T., Xian, P., Jin, S., Liu, Z., & You, X. (2025) · Human Brain Mapping · doi:10.1002/hbm.70295 · Cited by 3
SUBCATEGORIES OF POSITIVE EMOTION
Fujimura, T., Sato, W., & Okanoya, K. (2012) · PSYCHOLOGIA · doi:10.2117/psysoc.2012.1 · Cited by 3
Approach or avoidance: Neural correlates of intelligence evaluation from faces
Akimoto, Y., Yamazaki, R., Sugiura, M., Nouchi, R., Terao, C., Tsukiura, T., & Kawashima, R. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13974 · Cited by 3
Pelz, P., Genauck, A., Lorenz, R. C., Wüstenberg, T., Wackerhagen, C., Charlet, K., Gleich, T., Geisel, O., Heinz, A., Müller, C. A., et al. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06291-6 · Cited by 3
Park, H., Doh, H., Lee, E., Park, H., & Ahn, W. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011692 · Cited by 3
Finkelman, T., Furman‐Haran, E., Aberg, K. C., Paz, R., & Tal, A. (2025) · Communications Biology · doi:10.1038/s42003-025-08813-2 · Cited by 4
McGuire, J. T., & Kable, J. W. (2014) · Nature Neuroscience · doi:10.1038/nn.3680 · Cited by 3
Bauernhofer, K., Papousek, I., Fink, A., Unterrainer, ., & Weiss, E. M. (2015) · Neuropsychiatrie · doi:10.1007/s40211-015-0164-8 · Cited by 3
Li, B., Fuming, X. U., Wang, W., Zhang, H., & Hanbing, L. U. O. (2014) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2014.01319 · Cited by 3
Hwang, S., Meffert, H., VanTieghem, M., White, S. F., Sinclair, S., Bookheimer, S. Y., & Blair, J. (2017) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2017.15.4.369 · Cited by 3
Sincere praise and flattery: reward value and association with the praise-seeking trait
Fujiwara, S., Ishibashi, R., Tanabe-Ishibashi, A., Kawashima, R., & Sugiura, M. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.985047 · Cited by 5
Multiple scales of valence processing in the brain
Man, V. Y., & Cunningham, W. A. (2019) · Social Neuroscience · doi:10.1080/17470919.2019.1692068 · Cited by 3
Chuan-Peng, H., Huang, Y., Eickhoff, S. B., Peng, K., & Sui, J. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/081539 · Cited by 3
Lenglin, V., Wong, S., O’Callaghan, C., Erzinçlioğlu, S., Hornberger, M., Lebouvier, T., Piguet, O., Bourgeois‐Gironde, S., & Bertoux, M. (2022) · Cortex · doi:10.1016/j.cortex.2022.12.009 · Cited by 2
Additive Effects of Monetary Loss and Positive Emotion in the Human Brain
Jaiswal, S., Chakravarthula, L. N. C., & Padmala, S. (2024) · eNeuro · doi:10.1523/eneuro.0374-23.2024 · Cited by 2
Exercising self-control increases responsivity to hedonic and eudaimonic rewards
Huang, C.-L., Zhou, Z., Angus, D. J., Sedikides, C., & Kelley, N. J. (2025) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaf016 · Cited by 2
The neural vulnerabilities in reward processing in gambling disorder
Yin, A. J.-W., Wu, A. M. S., Xiong, A. Y., Leong, L. K. H., Lei, C. M. W., Zhai, J., Fong, D. K. C., Yuan, Z., Huang, R., & Chark, R. (2025) · Journal of Behavioral Addictions · doi:10.1556/2006.2025.00049 · Cited by 2
Yu, L., Dai, M., Huang, P., Broekman, B. F. P., Meaney, M. J., Chong, Y. S., Fortier, M. V., Setoh, P., Tiemeier, H. W., Tan, A. P., et al. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101613 · Cited by 2
Brain reorganization: altered functional connectivity in reward network after stroke
Martínez, Y. E., Widmer, M., Zimmermann, J., Schönhammer, J. G., Luft, A. R., & Jäncke, L. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103914 · Cited by 2
Lima, G., Soares, C., Teixeira, M., Pais, M. L., Cabral, C., Rijo, P. M., & Castelo-Branco, M. S. (2025) · Scientific Reports · doi:10.1038/s41598-025-31431-1 · Cited by 2
Vibes That Emote: Eliciting Affect Through Vibrotactile Stimulation
Ganguly, S., Koppula, A., Raghavan, M., & Sridharan, K. S. (2026) · Springer eBooks · doi:10.1007/978-3-032-06713-5_5 · Cited by 2
Benzaquén, E., Griffiths, T. D., & Kumar, S. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf324 · Cited by 2
Neurocognitive effects of interest on reward valuation and effort investment in boring contexts
Shin, D. D., Lee, S. K., Jiang, Y., Lee, J., Ahn, J. H., & Kim, S. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-026-01403-7 · Cited by 2
Hierarchical neurocognitive model of externalizing and internalizing comorbidity
Xie, C., Xiang, S., Zheng, Y., Shen, C., Li, Y., Cheng, W., Vaidya, N., Zhang, Z., Robinson, L., Winterer, J. M., et al. (2026) · Nature Mental Health · doi:10.1038/s44220-025-00577-2 · Cited by 2
Neural Encoding of Outcome Magnitude: Evidence from fMRI
Mohammadi, A. M., Mahmoudi, S., Amin, N., Hosseinzadeh, F., Ebrahimzadeh, E., & Hamid Soltanian-zadeh, A. (2025) · National and International Iranian Conference on Biomedical Engineering (ICBME) · doi:10.1109/icbme68496.2025.11392471 · Cited by 2
Ganguly, S., Koppula, A., & Sridharan, K. S. (2026) · Next research. · doi:10.1016/j.nexres.2026.101639 · Cited by 2
Ding, Y., Oba, K., Ishibashi, R., & Sugiura, M. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-026-01483-5 · Cited by 2
Dissecting Motivation: Translational Approaches and Clinical Implications
Avlar, B. (2016) · doi:10.7916/d8df6r7r · Cited by 2
Lack of effect of methamphetamine on reward-related brain activity in healthy adults
Haggarty, C. J., Glazer, J. E., Nusslock, R., Lee, R., & de Wit, H. (2023) · Psychopharmacology · doi:10.1007/s00213-023-06475-8 · Cited by 2
Devakonda, V., Zhou, Z., Yang, B., & Qu, Y. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02113 · Cited by 2
Initial learning in the brain: From rules to action
Fregni, S., Wolfensteller, U., & Ruge, H. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00274 · Cited by 2
Murayama, K., Tomiyama, H., Ohono, A., Kato, K., Matsuo, A., Kang, M., & Nakao, T. (2024) · Journal of Neuropsychology · doi:10.1111/jnp.12407 · Cited by 2
Neural response to betel quid cues in chewers: a functional magnetic resonance imaging study
Ho, M., Huang, G.-J., Tyan, Y., Tseng, H., & Weng, J. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9933-x · Cited by 2
Pabon, E., Crane, N. A., Radoman, M., Weafer, J. J., Langenecker, S. A., Phan, K. L., & de Wit, H. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.108432 · Cited by 2
Yi, Y., Kreissl, M. C., Speck, O., Düzel, E., & Hämmerer, D. (2025) · Human Brain Mapping · doi:10.1002/hbm.70124 · Cited by 2
Mu, Q., Zhang, K., Chen, Y., Xu, Y., Hu, S., Huang, M., Zhang, P., Cui, D., & Lu, S. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03555-5 · Cited by 2
Rademacher, L., & Spreckelmeyer, K. N. (2013) · Springer eBooks · doi:10.1007/978-3-642-29800-4_25 · Cited by 2
McCabe, C., & Rocha-Rego, V. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165295 · Cited by 2
Emoce vyvolané zvířaty I: krása a estetické preference
NUDZ, K., Rádlová, S., Janovcová, M., Polák, J., Landová, E., & Frynta, D. (2018) · E-psychologie · doi:10.29364/epsy.324 · Cited by 2
Alarefi, A., Alhusaini, N., Wang, X., Tao, R., Rui, Q., Gao, G., Pang, L., Qiu, B., & Zhang, X. (2022) · Experimental Brain Research · doi:10.1007/s00221-022-06447-y · Cited by 2
Disentangling the Skeins of Brain
Knutson, B. D., & Srirangarajan, T. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01952 · Cited by 2
Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study
Chawla, M., & Miyapuram, K. P. (2015) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2015.7280434 · Cited by 2
Aberrant Striatal Value Representation in Huntington's Disease Gene Carriers 25 Years Before Onset
Nair, A., Johnson, E. B., Gregory, S., Osborne‐Crowley, K., Zeun, P., Scahill, R. I., Lowe, J., Papoutsi, M., Palminteri, S., Rutledge, R. B., et al. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.12.015 · Cited by 4
Zhang, Z. (2022) · Developmental Review · doi:10.1016/j.dr.2022.101052 · Cited by 4
Modulation of stress reactivity in brain and body by serotonin transporter promoter polymorphism1
Ohira, H. (2011) · Japanese Psychological Research · doi:10.1111/j.1468-5884.2011.00465.x · Cited by 2
Schweizer, S., Stretton, J., van Belle, J., Price, D., Calder, A. J., Cam‐CAN, & Dalgleish, T. (2018) · doi:10.31234/osf.io/2eypg · Cited by 2
Intact corticostriatal and altered subcortical circuits in chronic painPreprint
Park, S. H., Baker, A. K., Krishna, V., & Martucci, K. T. (2021) · medRxiv · doi:10.1101/2021.09.08.21263285 · Cited by 2
Bennett, M., Kiiski, H. S. M., Cao, Z., Farina, F. R., Knight, R., Sweeney, A., Roddy, D. W., Kelly, C. A. M., & Whelan, R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/817973 · Cited by 2
Unethical amnesia brain: Memory and metacognitive distortion induced by dishonestyPreprint
Xu, X. J., Mobbs, D., & Wu, H. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.03.583239 · Cited by 2
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
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
