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.
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
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 receipt-related effects reported are robust and reliable based on the sample size and the clear main task effect of receipt.
“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]
Striatal structures are known to show biphasic responses, making them capable of responding to positive (reward) as well as negative (punishment) stimulation.
“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]
The ACC plays a central role in processing positively valenced emotions and other rewards, and in coding value representations of anticipated rewards.
“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]
Contrasting adolescent reward processing with the existing ALE of adult reward processing reveals increased likelihood for activation in limbic, frontolimbic, and striatal regions in adolescents compared with adults.
“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
Adolescents compared with adults show increased activation likelihood in bilateral ventral and dorsal striatum, insula, OFC, ACC, PCC, frontal opercular regions, paracingulate gyrus, subcallosal cortex, right amygdala, right occipital pole, and left lateral occipital cortex.
“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)
The core network regions overlap the subcortical regions identified in similar ALEs of adult reward processing.
“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
Adolescents and adults varied in activations during reward processing, as supported by descriptive comparisons and contrast analysis.
“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)
It has not yet been confirmed that, across studies, adolescents reliably activate the same regions during reward-based processing as do adults.
“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
The adult reward processing ALE from Liu et al. (2011) was reproduced as a validation check of the procedures.
“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
No significant neural substrates were found in the contrast of negative greater than positive valence processing.
“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)
Previous studies on adolescent reward processing have relied on studies of adult reward processing for guiding hypothesis testing and ROI analyses.
“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
Liu et al. (2011) reported strong activation likelihoods for numerous regions of the dorsal and ventral prefrontal cortex as well as superior and inferior parietal areas.
“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
Liu et al. (2011) found a significant likelihood of nucleus accumbens and OFC activation in adults' processing of reward outcomes versus anticipation.
“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.
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 · see citing works
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 · see citing works
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× · see citing works
“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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
The human orbitofrontal cortex: linking reward to hedonic experience
Kringelbach, M. L. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1747 · Cited by 2,180 · see citing works
A default mode of brain function: a brief history of an evolving idea
Raichle, M. E., & Snyder, A. Z. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.041 · Cited by 2,173 · see citing works
Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective
Bechara, A. (2005) · Nature Neuroscience · doi:10.1038/nn1584 · Cited by 2,149 · cited 1× · see citing works
“…us to better understand the various behavioral and mental disorders which arise when such function is disrupted, such as depression (Drevets, 2001), substance abuse (Bechara, 2005; Garavan and Stout, 2005; Volkow et al., 2003), and eating disorders (Kringelbach et al., 2003; Volkow and Wise, 2005).”
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
O'Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004) · Science · doi:10.1126/science.1094285 · Cited by 2,088 · see citing works
Learning the value of information in an uncertain world
Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007) · Nature Neuroscience · doi:10.1038/nn1954 · Cited by 2,053 · see citing works
Abstract reward and punishment representations in the human orbitofrontal cortex
O'Doherty, J., Kringelbach, M. L., Rolls, E. T., Hornak, J., & Andrews, C. (2001) · Nature Neuroscience · doi:10.1038/82959 · Cited by 2,003 · see citing works
KRINGELBACH, M. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.03.006 · Cited by 1,977 · see citing works
Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009) · Human Brain Mapping · doi:10.1002/hbm.20718 · Cited by 1,924 · see citing works
The neural correlates of subjective value during intertemporal choice
Kable, J. W., & Glimcher, P. W. (2007) · Nature Neuroscience · doi:10.1038/nn2007 · Cited by 1,916 · see citing works
The neural basis of loss aversion in decision-making under risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2007) · Science · doi:10.1126/science.1134239 · Cited by 1,733 · see citing works
Meta-analysis of the functional neuroanatomy of single-word reading: method and validation
Turkeltaub, P. E., Eden, G. F., Jones, K. M., & Zeffiro, T. A. (2002) · NeuroImage · doi:10.1006/nimg.2002.1131 · Cited by 1,604 · see citing works
Temporal difference models and reward-related learning in the human brain
O'Doherty, J. P., Dayan, P., Friston, K., Critchley, H., & Dolan, R. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00169-7 · Cited by 1,522 · see citing works
A neural basis for social cooperation
Rilling, J. K., Gutman, D. A., Zeh, T. R., Pagnoni, G., Berns, G. S., & Kilts, C. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00755-9 · Cited by 1,451 · see citing works
FMRI visualization of brain activity during a monetary incentive delay task
Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000) · NeuroImage · doi:10.1006/nimg.2000.0593 · Cited by 1,414 · see citing works
Functional imaging of neural responses to expectancy and experience of monetary gains and losses
Breiter, H. C., Aharon, I., Kahneman, D., Dale, A., & Shizgal, P. (2001) · Neuron · doi:10.1016/s0896-6273(01)00303-8 · Cited by 1,404 · see citing works
ALE meta-analysis of action observation and imitation in the human brain
Caspers, S., Zilles, K., Laird, A. R., & Eickhoff, S. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.112 · Cited by 1,386 · see citing works
Relative reward preference in primate orbitofrontal cortex
Tremblay, L., & Schultz, W. (1999) · Nature · doi:10.1038/19525 · Cited by 1,314 · see citing works
Dissociation of reward anticipation and outcome with event-related fMRI
Knutson, B., Fong, G. W., Adams, C. M., Varner, J. L., & Hommer, D. (2001) · Neuroreport · doi:10.1097/00001756-200112040-00016 · Cited by 1,300 · see citing works
Interactions between number and space in parietal cortex
Hubbard, E. M., Manuela Piazza, A., Pinel, P., & Dehaene, S. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1684 · Cited by 1,263 · see citing works
The Neural Basis of Financial Risk Taking
Kuhnen, C. M., & Knutson, B. (2005) · Neuron · doi:10.1016/j.neuron.2005.08.008 · Cited by 1,182 · see citing works
Neural Predictors of Purchases
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007) · Neuron · doi:10.1016/j.neuron.2006.11.010 · Cited by 1,171 · see citing works
Encoding Predictive Reward Value in Human Amygdala and Orbitofrontal Cortex
Gottfried, J. A., O'Doherty, J., & Dolan, R. J. (2003) · Science · doi:10.1126/science.1087919 · Cited by 1,165 · see citing works
The problem of functional localization in the human brain
Brett, M., Johnsrude, I. S., & Owen, A. M. (2002) · Nature reviews. Neuroscience · doi:10.1038/nrn756 · Cited by 1,154 · see citing works
Drevets, W. C. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00203-8 · Cited by 1,146 · see citing works
Tracking the Hemodynamic Responses to Reward and Punishment in the Striatum
Delgado, M. R., Nystrom, L. E., Fissell, C., Noll, D. C., & Fiez, J. A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.6.3072 · Cited by 1,116 · see citing works
Dorsal anterior cingulate cortex: A role in reward-based decision making
Bush, G., Vogt, B. A., Holmes, J., Dale, A. M., Greve, D., Jenike, M. A., & Rosen, B. R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012470999 · Cited by 1,096 · see citing works
How can drug addiction help us understand obesity?
Volkow, N. D., & Wise, R. A. (2005) · Nature Neuroscience · doi:10.1038/nn1452 · Cited by 1,089 · see citing works
Neural responses during anticipation of a primary taste reward
O'Doherty, J. P., Deichmann, R., Critchley, H. D., & Dolan, R. J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00603-7 · Cited by 1,076 · see citing works
Reward-motivated learning: mesolimbic activation precedes memory formation
Adcock, R. A., Thangavel, A., Whitfield-Gabrieli, S., Knutson, B., & Gabrieli, J. D. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.036 · Cited by 977 · see citing works
The problem of functional localization in the human brain
Morgan, T. (2002) · Cited by 968 · see citing works
Distributed Neural Representation of Expected Value
Knutson, B., Taylor, J., Kaufman, M., Peterson, R., & Glover, G. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0642-05.2005 · Cited by 955 · see citing works
Reward processing in primate orbitofrontal cortex and basal ganglia
Schultz, W. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.272 · Cited by 942 · see citing works
Orbitofrontal cortex and its contribution to decision-making.
Wallis, J. D. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094334 · Cited by 938 · see citing works
Temporal Prediction Errors in a Passive Learning Task Activate Human Striatum
McClure, S. M., Berns, G. S., & Montague, P. R. (2003) · Neuron · doi:10.1016/s0896-6273(03)00154-5 · Cited by 917 · see citing works
The addicted human brain: insights from imaging studies
Volkow, N. D., Fowler, J. S., & Wang, G.-J. (2003) · Journal of Clinical Investigation · doi:10.1172/jci18533 · Cited by 916 · see citing works
ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts
Laird, A. R., Fox, P. M., Price, C. J., Glahn, D. C., Uecker, A. M., Lancaster, J. L., Turkeltaub, P. E., Kochunov, P., & Fox, P. T. (2005) · Human Brain Mapping · doi:10.1002/hbm.20136 · Cited by 868 · see citing works
Orbitofrontal Cortex Encodes Willingness to Pay in Everyday Economic Transactions
Plassmann, H., O'Doherty, J., & Rangel, A. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2131-07.2007 · Cited by 855 · see citing works
Processing of Social and Monetary Rewards in the Human Striatum
Izuma, K., Saito, D. N., & Sadato, N. (2008) · Neuron · doi:10.1016/j.neuron.2008.03.020 · Cited by 855 · see citing works
Knutson, B. D., Fong, G., Bennett, S. M., Adams, C. M., & Hommer, D. W. (2003) · NeuroImage · doi:10.1016/s1053-8119(02)00057-5 · Cited by 850 · see citing works
Kringelbach, M. L. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.10.1064 · Cited by 824 · see citing works
Hare, T. A., O'Doherty, J., Camerer, C. F., Schultz, W., & Rangel, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1309-08.2008 · Cited by 792 · see citing works
Human insula activation reflects risk prediction errors as well as risk
Preuschoff, K., Quartz, S. R., & Bossaerts, P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4286-07.2008 · Cited by 784 · see citing works
Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops
Tanaka, S. C., Doya, K., Okada, G., Ueda, K., Okamoto, Y., & Yamawaki, S. (2004) · Nature Neuroscience · doi:10.1038/nn1279 · Cited by 779 · see citing works
Paulus, M. P., Rogalsky, C., Simmons, A., Feinstein, J. S., & Stein, M. B. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00251-9 · Cited by 745 · see citing works
Dissociable Neural Responses in Human Reward Systems
Elliott, R., Friston, K. J., & Dolan, R. J. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-16-06159.2000 · Cited by 740 · see citing works
Pathological gambling is linked to reduced activation of the mesolimbic reward system
Reuter, J., Raedler, T., Rose, M., Hand, I., Gläscher, J., & Büchel, C. (2005) · Nature Neuroscience · doi:10.1038/nn1378 · Cited by 734 · see citing works
Neural Signatures of Economic Preferences for Risk and Ambiguity
Huettel, S. A., Stowe, C. J., Gordon, E. M., Warner, B. T., & Platt, M. L. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.024 · Cited by 713 · see citing works
Intention, Action Planning, and Decision Making in Parietal-Frontal Circuits
Andersen, R. A., & Cui, H. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.028 · Cited by 707 · see citing works
Neural differentiation of expected reward and risk in human subcortical structures
Preuschoff, K., Bossaerts, P., & Quartz, S. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.024 · Cited by 692 · see citing works
Neural activity in the human brain relating to uncertainty and arousal during anticipation.
Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2001) · Neuron · doi:10.1016/s0896-6273(01)00225-2 · Cited by 681 · see citing works
Regret and its avoidance: a neuroimaging study of choice behavior
Coricelli, G., Critchley, H., Joffily, M., O’Doherty, J. P., Angela Sirigu, B., & Dolan, R. J. (2005) · Nature Neuroscience · doi:10.1038/nn1514 · Cited by 673 · see citing works
BOLD responses reflecting dopaminergic signals in the human ventral tegmental area
D'Ardenne, K., McClure, S. M., Nystrom, L. E., & Cohen, J. D. (2008) · Science · doi:10.1126/science.1150605 · Cited by 661 · see citing works
Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., Blair, J., & Pine, D. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.038 · Cited by 635 · see citing works
O'Doherty, J., Critchley, H., Deichmann, R., & Dolan, R. J. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-21-07931.2003 · Cited by 611 · see citing works
A new perspective on the role of the orbitofrontal cortex in adaptive behaviour
Schoenbaum, G., Roesch, M. R., Stalnaker, T. A., & Takahashi, Y. K. (2009) · Nature reviews. Neuroscience · doi:10.1038/nrn2753 · Cited by 585 · see citing works
Probabilistic reasoning by neurons
Yang, T., & Shadlen, M. N. (2007) · Nature · doi:10.1038/nature05852 · Cited by 581 · see citing works
Frank, M. J., & Claus, E. D. (2006) · Psychological Review · doi:10.1037/0033-295x.113.2.300 · Cited by 578 · see citing works
Dysfunction of ventral striatal reward prediction in schizophrenia
Juckel, G., Schlagenhauf, F., Koslowski, M., Wüstenberg, T., Villringer, A., Knutson, B., Wrase, J., & Heinz, A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.051 · Cited by 578 · see citing works
Modulation of Caudate Activity by Action Contingency
Tricomi, E. M., Delgado, M. R., & Fiez, J. A. (2004) · Neuron · doi:10.1016/s0896-6273(03)00848-1 · Cited by 575 · see citing works
Incentive-elicited brain activation in adolescents: Similarities and differences from young adults
Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4862-03.2004 · Cited by 567 · see citing works
Hariri, A. R., Brown, S. M., Williamson, D. E., Flory, J. D., de Wit, H., & Manuck, S. B. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3446-06.2006 · Cited by 557 · see citing works
Laird, A. R., Eickhoff, S. B., Li, K., Robin, D. A., Glahn, D. C., & Fox, P. T. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4004-09.2009 · Cited by 550 · see citing works
Lau, H. C., Rogers, R. D., Haggard, P., & Passingham, R. E. (2004) · Science · doi:10.1126/science.1090973 · Cited by 539 · see citing works
Yacubian, J., Gläscher, J., Schroeder, K., Sommer, T., Braus, D. F., & Büchel, C. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.2915-06.2006 · Cited by 537 · see citing works
Choosing the greater of two goods: neural currencies for valuation and decision making
Sugrue, L. P., Corrado, G. S., & Newsome, W. T. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1666 · Cited by 536 · see citing works
Elliott, R., Newman, J. L., Longe, O. A., & Deakin, J. F. W. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-01-00303.2003 · Cited by 515 · see citing works
Functional abnormalities in the dyslexic brain: A quantitative meta‐analysis of neuroimaging studies
Richlan, F., Kronbichler, M., & Wimmer, H. (2009) · Human Brain Mapping · doi:10.1002/hbm.20752 · Cited by 512 · see citing works
Ullsperger, M., & von Cramon, D. Y. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-04308.2003 · Cited by 484 · see citing works
Schoenbaum, G., Setlow, B., Saddoris, M. P., & Gallagher, M. (2003) · Neuron · doi:10.1016/s0896-6273(03)00474-4 · Cited by 484 · see citing works
Dysfunction of reward processing correlates with alcohol craving in detoxified alcoholics
Wrase, J., Schlagenhauf, F., Kienast, T., Wüstenberg, T., Bermpohl, F., Kahnt, T., Beck, A., Ströhle, A., Juckel, G., Knutson, B. D., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.043 · Cited by 480 · see citing works
Reward Value Coding Distinct From Risk Attitude-Related Uncertainty Coding in Human Reward Systems
Tobler, P. N., O'Doherty, J. P., Dolan, R. J., & Schultz, W. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00745.2006 · Cited by 472 · see citing works
Activity in human ventral striatum locked to errors of reward prediction
Pagnoni, G., Zink, C. F., Montague, P. R., & Berns, G. S. (2002) · Nature Neuroscience · doi:10.1038/nn802 · Cited by 451 · see citing works
Dissociable neural representations of future reward magnitude and delay during temporal discounting
Ballard, K., & Knutson, B. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.004 · Cited by 450 · see citing works
Kim, H., Shinsuke Shimojo, A., & O’Doherty, J. P. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040233 · Cited by 447 · see citing works
Haruno, M., & Kawato, M. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00382.2005 · Cited by 433 · see citing works
Human Striatal Responses to Monetary Reward Depend On Saliency
Zink, C. F., Pagnoni, G., Martin-Skurski, M. E., Chappelow, J., & Berns, G. S. (2004) · Neuron · doi:10.1016/s0896-6273(04)00183-7 · Cited by 432 · see citing works
The neural system that bridges reward and cognition in humans: An fMRI study
Pochon, J.-B., Lévy, R., Fossati, P., Lehéricy, S., Poline, J.-B., Pillon, B., Bihan, D. L., & Dubois, B. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.082111099 · Cited by 431 · see citing works
Dorsal striatum responses to reward and punishment: effects of valence and magnitude manipulations
DELGADO, M. R., LOCKE, H. M., STENGER, V. A., & FIEZ, J. A. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.1.27 · Cited by 431 · see citing works
Mohr, P. N. C., Biele, G., & Heekeren, H. R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0003-10.2010 · Cited by 411 · see citing works
Reduced orbitofrontal-striatal activity on a reversal learning task in obsessive-compulsive disorder
Remijnse, P. L., Nielen, M. M. A., van Balkom, A. J. L. M., Cath, D. C., van Oppen, P., Uylings, H. B. M., & Veltman, D. J. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.11.1225 · Cited by 408 · see citing works
Orbitofrontal cortex, associative learning and expectancies
Schoenbaum, G., & Roesch, M. (2005) · Neuron · doi:10.1016/j.neuron.2005.07.018 · Cited by 404 · see citing works
Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk
Trepel, C., Fox, C. R., & Poldrack, R. A. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.016 · Cited by 400 · see citing works
Rogers, R. D., Ramnani, N., Mackay, C. E., Wilson, J. L., Jezzard, P., Carter, C. S., & Smith, S. M. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.11.012 · Cited by 399 · see citing works
Anticipation of monetary gain but not loss in healthy older adults
Samanez-Larkin, G. R., Gibbs, S. E. B., Khanna, K., Nielsen, L., Carstensen, L. L., & Knutson, B. D. (2007) · Nature Neuroscience · doi:10.1038/nn1894 · Cited by 392 · see citing works
Schönberg, T., Daw, N. D., Joel, D., & O'Doherty, J. P. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2496-07.2007 · Cited by 390 · see citing works
Salimi-Khorshidi, G., Smith, S. M., Keltner, J. R., Wager, T. D., & Nichols, T. E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.039 · Cited by 388 · see citing works
Gläscher, J., Hampton, A. N., & O'Doherty, J. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn098 · Cited by 387 · see citing works
Functional Coactivation Map of the Human Brain
Toro, R., Fox, P. T., & Paus, T. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn014 · Cited by 378 · see citing works
Choice selection and reward anticipation: an fMRI study
Ernst, M., Nelson, E. E., McClure, E. B., Monk, C. S., Munson, S., Eshel, N., Zarahn, E., Leibenluft, E., Zametkin, A., Towbin, K., et al. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.05.011 · Cited by 377 · see citing works
Prediction error as a linear function of reward probability is coded in human nucleus accumbens
Abler, B., Walter, H., Erk, S., Kammerer, H., & Spitzer, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.001 · Cited by 376 · see citing works
Clustered pixels analysis for functional MRI activation studies of the human brain
Xiong, J., Gao, J., Lancaster, J. L., & Fox, P. T. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030404 · Cited by 361 · see citing works
Arana, F. S., Parkinson, J. A., Hinton, E. C., Holland, A. J., Owen, A. M., & Roberts, A. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-29-09632.2003 · Cited by 342 · see citing works
An fMRI study of reward-related probability learning
Delgado, M. R., Miller, M. M., Inati, S., & Phelps, E. A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.002 · Cited by 337 · see citing works
Reward anticipation and outcomes in adult males with attention-deficit/hyperactivity disorder
Ströhle, A., Stoy, M., Wrase, J., Schwarzer, S., Schlagenhauf, F., Huss, M., Hein, J., Nedderhut, A., Neumann, B., Gregor, A., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.044 · Cited by 323 · see citing works
Nieuwenhuis, S., Slagter, H. A., von Geusau, N. J. A., Heslenfeld, D. J., & Holroyd, C. B. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04152.x · Cited by 317 · see citing works
Subliminal Instrumental Conditioning Demonstrated in the Human Brain
Pessiglione, M., Petrovic, P., Daunizeau, J., Palminteri, S., Dolan, R. J., & Frith, C. D. (2008) · Neuron · doi:10.1016/j.neuron.2008.07.005 · Cited by 308 · see citing works
Haruno, M., Kuroda, T., Doya, K., Toyama, K., Kimura, M., Samejima, K., Imamizu, H., & Kawato, M. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3417-03.2004 · Cited by 300 · see citing works
Activity in human reward-sensitive brain areas is strongly context dependent
Nieuwenhuis, S., Heslenfeld, D. J., Alting von Geusau, N. J., Mars, R. B., Holroyd, C. B., & Yeung, N. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.043 · Cited by 289 · see citing works
Opposing BOLD responses to reciprocated and unreciprocated altruism in putative reward pathways
Rilling, J. K., Sanfey, A. G., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2004) · NeuroReport · doi:10.1097/00001756-200411150-00022 · Cited by 281 · see citing works
Neural Response to Reward Anticipation under Risk Is Nonlinear in Probabilities
Hsu, M., Krajbich, I. M., Zhao, C., & Camerer, C. F. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5296-08.2009 · Cited by 280 · see citing works
The Role of Human Orbitofrontal Cortex in Value Comparison for Incommensurable Objects
FitzGerald, T. H. B., Seymour, B., & Dolan, R. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0717-09.2009 · Cited by 279 · see citing works
Processing of the incentive for social approval in the ventral striatum during charitable donation
Izuma, K., Saito, D. N., & Sadato, N. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21228 · Cited by 276 · see citing works
Individual differences in extraversion and dopamine genetics predict neural reward responses
Cohen, M. X., Young, J., Baek, J. M., Kessler, C., & Charan Ranganath, A. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.09.018 · Cited by 271 · see citing works
The Cognitive Neuroscience of Human Decision Making: A Review and Conceptual Framework
Fellows, L. K. (2004) · Behavioral and Cognitive Neuroscience Reviews · doi:10.1177/1534582304273251 · Cited by 267 · see citing works
Neural signature of fictive learning signals in a sequential investment task
Lohrenz, T. M., McCabe, K., Camerer, C. F., & Montague, P. R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608842104 · Cited by 263 · see citing works
Kadosh, R. C., Henik, A., Rubinsten, O., Mohr, H. M., Dori, H., van de Ven, V. G., Zorzi, M., Hendler, T., Goebel, R., & Linden, D. E. J. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.12.017 · Cited by 256 · see citing works
Functional activity related to risk anticipation during performance of the Iowa gambling task
Fukui, H., Murai, T., Fukuyama, H., Hayashi, T., & Hanakawa, T. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.08.028 · Cited by 256 · see citing works
Valence and salience contribute to nucleus accumbens activation
Cooper, J. C., & Knutson, B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.009 · Cited by 256 · see citing works
Kirsch, P., Schienle, A., Stark, R. M., Sammer, G., Blecker, C. R., Walter, B., Ott, U., Burkart, J., & Vaitl, D. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00381-1 · Cited by 252 · see citing works
Wittmann, M., Leland, D. S., & Paulus, M. P. (2007) · Experimental Brain Research · doi:10.1007/s00221-006-0822-y · Cited by 252 · see citing works
Gene–gene interaction associated with neural reward sensitivity
Yacubian, J., Sommer, T., Schroeder, K., Gläscher, J., Kalisch, R., Leuenberger, B., Braus, D. F., & Büchel, C. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702029104 · Cited by 241 · see citing works
The Neural Basis of Loss Aversion in Decision-Making Under Risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2008) · ACR North American Advances · Cited by 239 · see citing works
Liu, X., Powell, D. K., Wang, H., Gold, B. T., Corbly, C. R., & Joseph, J. E. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.5227-06.2007 · Cited by 236 · see citing works
Self-citationRolls, E. T., McCabe, C., & Redouté, J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm097 · Cited by 234 · see citing works
Neurocognitive insights into substance abuse
Garavan, H., & Stout, J. C. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.02.008 · Cited by 232 · see citing works
A functional neuroimaging study of motivation and executive function
Taylor, S. F., Welsh, R. C., Wager, T. D., Luan Phan, K., Fitzgerald, K. D., & Gehring, W. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.032 · Cited by 222 · see citing works
Willed action and attention to the selection of action
Lau, H. C., Rogers, R. D., Ramnani, N., & Passingham, R. E. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.034 · Cited by 220 · see citing works
Predicting events of varying probability: uncertainty investigated by fMRI
Volz, K. G., Schubotz, R. I., & von Cramon, D. Y. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00122-8 · Cited by 214 · see citing works
Functional Dissociations of Risk and Reward Processing in the Medial Prefrontal Cortex
Xue, G., Lu, Z., Levin, I. P., Weller, J. A., Li, X., & Bechara, A. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn147 · Cited by 203 · see citing works
Sailer, U., Robinson, S., Fischmeister, F. P. S., König, D., Oppenauer, C., Lueger-Schuster, B., Moser, E., Kryspin-Exner, I., & Bauer, H. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.05.022 · Cited by 201 · see citing works
Functional connectivity with anterior cingulate and orbitofrontal cortices during decision-making
Cohen, M. X., Heller, A. S., & Charan Ranganath, A. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.010 · Cited by 198 · see citing works
Neural activity in the human brain relating to uncertainty and arousal during anticipation
Critchley, H., Mathiast, C. J., & Dolan, R. J. (2001) · NeuroImage · doi:10.1016/s1053-8119(01)91735-5 · Cited by 191 · see citing works
Variants of uncertainty in decision-making and their neural correlates
Volz, K. G., Schubotz, R. I., & von Cramon, D. Y. (2005) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2005.06.011 · Cited by 182 · see citing works
Understanding Overbidding: Using the Neural Circuitry of Reward to Design Economic Auctions
Delgado, M. R., Schotter, A., Ozbay, E. Y., & Phelps, E. A. (2008) · Science · doi:10.1126/science.1158860 · Cited by 180 · see citing works
The neural substrates of probabilistic and intertemporal decision making
Weber, B. J., & Huettel, S. A. (2008) · Brain Research · doi:10.1016/j.brainres.2008.07.105 · Cited by 179 · see citing works
Knowing When to Stop: The Brain Mechanisms of Chasing Losses
Campbell-Meiklejohn, D. K., Woolrich, M. W., Passingham, R. E., & Rogers, R. D. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.05.014 · Cited by 179 · see citing works
Different neural systems adjust motor behavior in response to reward and punishment
Wrase, J., Kahnt, T., Schlagenhauf, F., Beck, A., Cohen, M. X., Knutson, B., & Heinz, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.001 · Cited by 172 · see citing works
Smith, B. W., Mitchell, D. G. V., Hardin, M. G., Jazbec, S., Fridberg, D. J., Blair, J., & Monique Ernst, D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.016 · Cited by 168 · see citing works
Tremblay, L., & Schultz, W. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.4.1877 · Cited by 167 · see citing works
Blair, K. S., Marsh, A. A., Morton, J., Vythilingam, M., Jones, M., Mondillo, K., Pine, D. C., Drevets, W. C., & Blair, J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1640-06.2006 · Cited by 164 · see citing works
REMIJNSE, P., NIELEN, M., UYLINGS, H., & VELTMAN, D. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.009 · Cited by 163 · see citing works
Neural Antecedents of the Endowment Effect
Knutson, B. D., Wimmer, G. E., Rick, S. I., Hollon, N. G., Prelec, D., & Loewenstein, G. F. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.018 · Cited by 162 · see citing works
Neural mechanism of intertemporal choice: From discounting future gains to future losses
Xu, L., Liang, Z.-Y., Wang, K., Li, S., & Jiang, T. (2009) · Brain Research · doi:10.1016/j.brainres.2008.12.061 · Cited by 161 · see citing works
Zalla, T., Koechlin, É., Pietrini, P., Basso, G., Aquino, P., Angela Sirigu, B., & Grafman, J. H. (2000) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2000.00064.x · Cited by 154 · see citing works
Satterthwaite, T. D., Green, L., Myerson, J., Parker, J. B., Ramaratnam, M., & Buckner, R. L. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.066 · Cited by 153 · see citing works
Neural Dissociation of Delay and Uncertainty in Intertemporal Choice
Luhmann, C. C., Chun, M. M., Yi, D.-J., Lee, D., & Wang, X. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5058-08.2008 · Cited by 150 · see citing works
Functional dissociation of the frontoinsular and anterior cingulate cortices in empathy for pain
Gu, X., Liu, X., Guise, K. G., Naidich, T. P., Hof, P. R., & Fan, J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4844-09.2010 · Cited by 150 · see citing works
Self-citationSmokers' brains compute, but ignore, a fictive error signal in a sequential investment task
Chiu, P. H., Lohrenz, T. M., & Montague, P. R. (2008) · Nature Neuroscience · doi:10.1038/nn2067 · Cited by 144 · see citing works
Ursu, S., & Carter, C. S. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.004 · Cited by 142 · see citing works
Functional connectivity of reward processing in the brain
Camara, E. (2008) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.019.2008 · Cited by 141 · see citing works
Dillon, D. G., Holmes, A. J., Jahn, A. L., Bogdan, R., Wald, L. L., & Pizzagalli, D. A. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00594.x · Cited by 133 · see citing works
Prediction error for free monetary reward in the human prefrontal cortex
Ramnani, N., Elliott, R., Athwal, B. S., & Passingham, R. E. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.028 · Cited by 130 · see citing works
Petrovic, P., Pleger, B., Seymour, B., Klöppel, S., de Martino, B., Critchley, H., & Dolan, R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2807-08.2008 · Cited by 130 · see citing works
Knutson, B. D., & Wimmer, G. E. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1390.020 · Cited by 129 · see citing works
Medial orbitofrontal cortex codes relative rather than absolute value of financial rewards in humans
Elliott, R., Agnew, Z. K., & Deakin, J. F. W. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06202.x · Cited by 128 · see citing works
Elliott, R., Newman, J. L., Longe, O. A., & Deakin, J. F. W. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.010 · Cited by 127 · see citing works
Anterior cingulate activity modulates nonlinear decision weight function of uncertain prospects
Paulus, M. P., & Frank, L. R. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.061 · Cited by 121 · see citing works
Neural correlates of response reversal: Considering acquisition
Budhani, S., Marsh, A. A., Pine, D. S., & Blair, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.060 · Cited by 120 · see citing works
Pleger, B., Blankenburg, F., Ruff, C. C., Driver, J., & Dolan, R. J. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1093-08.2008 · Cited by 120 · see citing works
Neural Activity Associated with the Passive Prediction of Ambiguity and Risk for Aversive Events
Bach, D. R., Seymour, B., & Dolan, R. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4578-08.2009 · Cited by 117 · see citing works
Cohen, M. X., Elger, C. E., & Weber, B. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.004 · Cited by 106 · see citing works
Anticipating instrumentally obtained and passively-received rewards: A factorial fMRI investigation
Bjork, J. M., & Hommer, D. W. (2006) · Behavioural Brain Research · doi:10.1016/j.bbr.2006.10.034 · Cited by 105 · see citing works
Kahnt, T., Park, S. Q., Cohen, M. X., Beck, A., Heinz, A., & Wrase, J. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21092 · Cited by 101 · see citing works
Learning to Like: A Role for Human Orbitofrontal Cortex in Conditioned Reward
Cox, S. M. L., Andrade, A., & Johnsrude, I. S. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.3360-04.2005 · Cited by 99 · see citing works
Segregated and Integrated Coding of Reward and Punishment in the Cingulate Cortex
Fujiwara, J., Tobler, P. N., Taira, M., Iijima, T., & Tsutsui, K. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90909.2008 · Cited by 97 · see citing works
Marsh, A. A., Blair, K. S., Vythilingam, M., Busis, S., & Blair, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.044 · Cited by 96 · see citing works
Cognitive reappraisal modulates expected value and prediction error encoding in the ventral striatum
Staudinger, M. R., Erk, S., Abler, B., & Walter, H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.095 · Cited by 94 · see citing works
Hedonic and informational functions of the human orbitofrontal cortex
Elliott, R., Agnew, Z., & Deakin, J. F. W. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp092 · Cited by 94 · see citing works
d’Acremont, M., & Bossaerts, P. L. (2008) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.8.4.363 · Cited by 93 · see citing works
Völlm, B., Richardson, P., McKie, S., Elliott, R., Dolan, M., & Deakin, B. (2007) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2007.04.008 · Cited by 92 · see citing works
Instructed Delay Activity in the Human Prefrontal Cortex is Modulated by Monetary Reward Expectation
Ramnani, N. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.3.318 · Cited by 91 · see citing works
Developmental differences in posterior mesofrontal cortex recruitment by risky rewards
Bjork, J. M., Smith, A. R., Danube, C. L., & Hommer, D. W. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5469-06.2007 · Cited by 90 · see citing works
Neuronal Distortions of Reward Probability without Choice
Tobler, P. N., Christopoulos, G. I., O’Doherty, J. P., Dolan, R. J., & Schultz, W. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2870-08.2008 · Cited by 84 · see citing works
Cohen, M. X. (2007) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsl021 · Cited by 84 · see citing works
van den Bos, W., McClure, S. M., Harris, L. T., Fiske, S. T., & Cohen, J. D. (2007) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.7.4.337 · Cited by 83 · see citing works
Neural evidence for Reference-dependence in real-market-transactions
Weber, B., Aholt, A., Neuhaus, C., Trautner, P., Elger, C. E., & Teichert, T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.034 · Cited by 81 · see citing works
Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics
Tanaka, S., Samejima, K., Okada, G., Ueda, K., Okamoto, Y., Yamawaki, S., & Doya, K. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.05.039 · Cited by 76 · see citing works
Behavioral, but not reward, risk modulates activation of prefrontal, parietal, and insular cortices
Huettel, S. A. (2006) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.6.2.141 · Cited by 71 · see citing works
Akitsuki, Y., Sugiura, M., Watanabe, J., Yamashita, K., Sassa, Y., Awata, S., Matsuoka, H., Maeda, Y., Matsue, Y., Fukuda, H., et al. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00250-7 · Cited by 70 · see citing works
Role of ventral striatum in reward-based decision making
Heekeren, H. R., Wartenburger, I., Marschner, A., Mell, T., Villringer, A., & Reischies, F. M. (2007) · Neuroreport · doi:10.1097/wnr.0b013e3281532bd7 · Cited by 65 · see citing works
Behavioral and neural predictors of upcoming decisions
Cohen, M. X., & Charan Ranganath, A. (2005) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.5.2.117 · Cited by 65 · see citing works
Amygdalar Recruitment during Anticipation of Monetary Rewards
Hommer, D. W., Knutson, B. D., Fong, G., Bennett, S. M., ADAMS, C. M., & VARNERA, J. L. (2003) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2003.tb07103.x · Cited by 62 · see citing works
Yarkoni, T., Gray, J. R., Chrastil, E. R., Barch, D. M., Green, L., & Braver, T. S. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.013 · Cited by 59 · see citing works
Local pattern classification differentiates processes of economic valuation
Clithero, J. A., Carter, R., & Huettel, S. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.074 · Cited by 54 · see citing works
Your Resting Brain CAREs about Your Risky Behavior
Cox, C. L., Gotimer, K., Roy, A. K., Castellanos, F. X., Milham, M. P., & Kelly, C. A. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012296 · Cited by 52 · see citing works
Reduced posterior mesofrontal cortex activation by risky rewards in substance-dependent patients
Bjork, J. M., Momenan, R., Smith, A. R., & Hommer, D. W. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.12.014 · Cited by 51 · see citing works
Sensitivity of the nucleus accumbens to violations in expectation of reward
Spicer, J., Galván, A., Hare, T. A., Voss, H. U., Glover, G. H., & Casey, B. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.012 · Cited by 50 · see citing works
Longe, O. A., Senior, C., & Rippon, G. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21012 · Cited by 45 · see citing works
A parametric approach to voxel-based meta-analysis
Costafreda, S. G., David, A. S., & Brammer, M. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.031 · Cited by 44 · see citing works
Decision-making under Risk: An fMRI Study
Hewig, J. S., Straube, T., Trippe, R. H., Kretschmer, N., Hecht, H., COLES, M. G. H., & Miltner, W. H. R. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21112 · Cited by 41 · see citing works
Koch, K., Schachtzabel, C., Wagner, G., Reichenbach, J. R., Sauer, H., & Schlösser, R. G. M. (2008) · Learning & Memory · doi:10.1101/lm.1106408 · Cited by 41 · see citing works
PREFRONTAL BRAIN ACTIVITY PREDICTS TEMPORALLY EXTENDED DECISION-MAKING BEHAVIOR
Yarkoni, T., Braver, T. S., Gray, J. R., & Green, L. (2005) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2005.121-04 · Cited by 38 · see citing works
Dynamics of Prefrontal and Cingulate Activity during a Reward-Based Logical Deduction Task
Landmann, C., Dehaene, S., Pappatà, S., Jobert, A., Bottlaender, M., Roumenov, D., & Bihan, D. L. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhk028 · Cited by 33 · see citing works
A parametric relief signal in human ventrolateral prefrontal cortex
Fujiwara, J., Tobler, P. N., Taira, M., Iijima, T., & Tsutsui, K. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.050 · Cited by 29 · see citing works
Localisation of regions of intense pleasure response evoked by soccer goals
McLean, J., Brennan, D., Wyper, D. J., Condon, B. R., Hadley, D. M., & Cavanagh, J. (2008) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2008.02.005 · Cited by 23 · see citing works
Imaging the changing role of feedback during learning in decision-making
Sailer, U., Robinson, S., Fischmeister, F. P. S., Moser, E., Kryspin‐Exner, I., & Bauer, H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.012 · Cited by 23 · see citing works
Ino, T., Nakai, R., Azuma, T., Kimura, T., & Fukuyama, H. (2009) · Cortex · doi:10.1016/j.cortex.2009.02.022 · Cited by 16 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The expected value of control: an integrative theory of anterior cingulate cortex function
Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.007 · Cited by 2,321 · see citing works
The integration of negative affect, pain and cognitive control in the cingulate cortex
Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J., & Davidson, R. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2994 · Cited by 2,082 · see citing works
The ventral visual pathway: an expanded neural framework for the processing of object quality
Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G., & Mishkin, M. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.011 · Cited by 1,154 · see citing works
Hiser, J., & Koenigs, M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.030 · Cited by 972 · see citing works
Motivation and cognitive control: from behavior to neural mechanism
Botvinick, M., & Braver, T. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015044 · Cited by 909 · see citing works
Dynamic reconfiguration of frontal brain networks during executive cognition in humans
Braun, U., Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422487112 · Cited by 791 · see citing works
Sescousse, G., Caldú, X., Segura, B., & Dreher, J.-C. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.002 · Cited by 782 · see citing works
Lindquist, K. A., Satpute, A. B., Wager, T. D., Weber, J., & Barrett, L. F. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv001 · Cited by 713 · see citing works
Informatic parcellation of the network involved in the computation of subjective value
Clithero, J. A., & Rangel, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst106 · Cited by 706 · see citing works
Evidence for a large-scale brain system supporting allostasis and interoception in humans
Kleckner, I. R., Zhang, J., Touroutoglou, A., Chanes, L., Xia, C., Simmons, W. K., Quigley, K. S., Dickerson, B. C., & Feldman Barrett, L. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0069 · Cited by 641 · see citing works
Ashok, A. H., Marques, T. R., Jauhar, S., Nour, M. M., Goodwin, G. M., Young, A. H., & Howes, O. D. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.16 · Cited by 546 · see citing works
Walsh, M. M., & Anderson, J. R. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.05.008 · Cited by 541 · see citing works
Jasinska, A. J., Stein, E. A., Kaiser, J., Naumer, M. J., & Yalachkov, Y. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.10.013 · Cited by 513 · see citing works
Pelowski, M. J., Markey, P. S., Forster, M., Gerger, G., & Leder, H. (2017) · Physics of Life Reviews · doi:10.1016/j.plrev.2017.02.003 · Cited by 465 · see citing works
Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man
Fenster, R. J., Lebois, L. A. M., Ressler, K. J., & Suh, J. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0039-7 · Cited by 456 · see citing works
Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies
Garrison, J. R., Erdeniz, B., & Done, J. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.023 · Cited by 430 · see citing works
Oldham, S., Murawski, C., Fornito, A., Youssef, G. J., Yücel, M., & Lorenzetti, V. (2018) · Human Brain Mapping · doi:10.1002/hbm.24184 · Cited by 425 · see citing works
Plichta, M. M., & Scheres, A. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.012 · Cited by 424 · see citing works
Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture
Vartanian, O. A., Navarrete, G., Chatterjee, A. K., Fich, L. B., Leder, H., Modroño, C., Nadal, M., Rostrup, N., & Skov, M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301227110 · Cited by 417 · see citing works
A neural reward prediction error revealed by a meta-analysis of ERPs using great grand averages
Sambrook, T. D., & Goslin, J. (2015) · Psychological Bulletin · doi:10.1037/bul0000006 · Cited by 411 · see citing works
Neural substrates of smoking cue reactivity: A meta-analysis of fMRI studies
Engelmann, J. M., Versace, F., Robinson, J. D., Minnix, J. A., Lam, C. Y., Cui, Y., Brown, V. L., & Cinciripini, P. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.024 · Cited by 394 · see citing works
Dinur-Klein, L., Dannon, P., Hadar, A., Rosenberg, O., Roth, Y., Kotler, M., & Zangen, A. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.020 · Cited by 367 · see citing works
Beyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processing
Glazer, J. E., Kelley, N. J., Pornpattananangkul, N., Mittal, V. A., & Nusslock, R. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.02.002 · Cited by 362 · see citing works
Chatterjee, A. K., & Vartanian, O. A. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13035 · Cited by 359 · see citing works
Zhang, W.-N., Chang, S.-H., Guo, L.-Y., Zhang, K.-L., & Wang, J. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.06.039 · Cited by 355 · see citing works
Decision making in the ageing brain: changes in affective and motivational circuits
Samanez-Larkin, G. R., & Knutson, B. D. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3917 · Cited by 333 · see citing works
Can Pornography be Addictive? An fMRI Study of Men Seeking Treatment for Problematic Pornography Use
Gola, M., Wordecha, M., Sescousse, G., Lew-Starowicz, M., Kossowski, B., Wypych, M., Makeig, S., Potenza, M. N., & Marchewka, A. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.78 · Cited by 299 · see citing works
Dichter, G. S., Damiano, C. A., & Allen, J. A. (2012) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-4-19 · Cited by 299 · see citing works
Silverman, M. H., Jedd, K., & Luciana, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.083 · Cited by 277 · see citing works
Contextual modulation of value signals in reward and punishment learning
Palminteri, S., Khamassi, M., Joffily, M., & Coricelli, G. (2015) · Nature Communications · doi:10.1038/ncomms9096 · Cited by 273 · see citing works
Becker, M. P. I., Nitsch, A. M., Miltner, W. H. R., & Straube, T. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3684-13.2014 · Cited by 270 · see citing works
Lieberman, M. D., Straccia, M. A., Meyer, M. L., Du, M., & Tan, K. M. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.12.021 · Cited by 262 · see citing works
Alcohol, stress, and glucocorticoids: From risk to dependence and relapse in alcohol use disorders
Blaine, S. K., & Sinha, R. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.01.037 · Cited by 257 · see citing works
“This positive valence is further encoded by neuroplasticity in the afferent connections of the NAcc to PFC; over repeated use, these connections become overly sensitive to alcohol and increase the motivational drive to consume alcohol (Liu et al., 2011).”
Reward functioning in PTSD: a systematic review exploring the mechanisms underlying anhedonia
Nawijn, L., van Zuiden, M., Frijling, J. L., Koch, S. B. J., Veltman, D. J., & Olff, M. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.019 · Cited by 250 · see citing works
Effects of stress on decisions under uncertainty: A meta-analysis.
Starcke, K., & Brand, M. (2016) · Psychological Bulletin · doi:10.1037/bul0000060 · Cited by 247 · see citing works
van Duijvenvoorde, A. C. K., Peters, S., Braams, B. R., & Crone, E. A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.037 · Cited by 241 · see citing works
The neural correlates of subjective pleasantness
Kühn, S., & Gallinat, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.065 · Cited by 232 · see citing works
Chase, H. W., Kumar, P., Eickhoff, S. B., & Dombrovski, A. Y. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0338-7 · Cited by 225 · see citing works
Pace-Schott, E. F., Amole, M. C., Aue, T., Balconi, M., Bylsma, L. M., Critchley, H., Demaree, H. A., Friedman, B. H., Gooding, A. E. K., Gosseries, O., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.05.002 · Cited by 221 · see citing works
“, 2011), another key area for reward processing (Liu et al., 2011).”
Erdeniz, B., Rohe, T., Done, J., & Seidler, R. D. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00116 · Cited by 215 · see citing works
A universal role of the ventral striatum in reward-based learning: Evidence from human studies
Daniel, R., & Pollmann, S. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.05.002 · Cited by 209 · see citing works
Foti, D., Carlson, J. M., Sauder, C. L., & Proudfit, G. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.058 · Cited by 206 · see citing works
Ersche, K. D., Williams, G. B., Robbins, T. W., & Bullmore, E. T. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.02.017 · Cited by 205 · see citing works
Common and distinct neural correlates of personal and vicarious reward: A quantitative meta-analysis
Morelli, S. A., Sacchet, M. D., & Zaki, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.056 · Cited by 205 · see citing works
Overlapping neural systems represent cognitive effort and reward anticipation
Vassena, E., Silvetti, M., Boehler, C. N., Achten, E., Fias, W., & Verguts, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091008 · Cited by 200 · see citing works
Novak, K. D., & Foti, D. (2015) · Psychophysiology · doi:10.1111/psyp.12504 · Cited by 198 · see citing works
Social “wanting” dysfunction in autism: neurobiological underpinnings and treatment implications
Kohls, G., Chevallier, C., Troiani, V., & Schultz, R. T. (2012) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-4-10 · Cited by 197 · see citing works
Reappraising striatal D1- and D2-neurons in reward and aversion
Soares‐Cunha, C., Coimbra, B., Sousa, N., & Rodrigues, A. J. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.021 · Cited by 190 · see citing works
Subcortical structural connectivity of insular subregions
Ghaziri, J., Tucholka, A., Girard, G., Boucher, O., Houde, J., Descoteaux, M., Obaïd, S., Gilbert, G., Rouleau, I., & Nguyen, D. K. (2018) · Scientific Reports · doi:10.1038/s41598-018-26995-0 · Cited by 190 · see citing works
Imbalance in the sensitivity to different types of rewards in pathological gambling
Sescousse, G., Barbalat, G., Domenech, P., & Dreher, J. (2013) · Brain · doi:10.1093/brain/awt126 · Cited by 189 · see citing works
MTAC, Wilson, R. P., Colizzi, M., Bossong, M. G., Allen, P., Kempton, M. J., & Bhattacharyya, S. (2018) · Neuropsychology Review · doi:10.1007/s11065-018-9385-5 · Cited by 186 · see citing works
Decision Making: The Neuroethological Turn
Pearson, J. M., Watson, K. K., & Platt, M. L. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.037 · Cited by 184 · see citing works
Foti, D., Weinberg, A., Bernat, E. M., & Proudfit, G. H. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.08.025 · Cited by 183 · see citing works
Braun, U., Schäfer, A., Bassett, D. S., Rausch, F., Schweiger, J. I., Bilek, E., Erk, S., Romanczuk‐Seiferth, N., Grimm, O., Geiger, L. S., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608819113 · Cited by 183 · see citing works
Cue-reactivity in behavioral addictions: a meta-analysis and methodological considerations
Starcke, K., Antons, S., Trotzke, P., & Brand, M. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.7.2018.39 · Cited by 180 · see citing works
Reduced Intrinsic Connectivity of Amygdala in Adults with Major Depressive Disorder
Ramasubbu, R., Konduru, N., Cortese, F., Bray, S., Gaxiola‐Valdez, I., & Goodyear, B. G. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00017 · Cited by 178 · see citing works
Computing the Social Brain Connectome Across Systems and States
Alcalá-López, D., Smallwood, J., Jefferies, E., Overwalle, F. V., Vogeley, K. T., Mars, R. B., Turetsky, B. I., Laird, A. R., Fox, P. T., Eickhoff, S. B., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx121 · Cited by 177 · see citing works
Neuroimaging the consciousness of self: Review, and conceptual-methodological framework
Frewen, P., Schroeter, M. L., Riva, G., Cipresso, P., Fairfield, B., Padulo, C., Kemp, A. H., Palaniyappan, L. K., Owolabi, M. O., Kusi‐Mensah, K., et al. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.023 · Cited by 177 · see citing works
Fouragnan, E., Retzler, C., & Philiastides, M. G. (2018) · Human Brain Mapping · doi:10.1002/hbm.24047 · Cited by 176 · see citing works
Affective traits link to reliable neural markers of incentive anticipation
Wu, C. C., Samanez-Larkin, G. R., Katovich, K., & Knutson, B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.055 · Cited by 176 · see citing works
Cho, Y. T., Fromm, S., Guyer, A. E., Detloff, A., Pine, D. S., Fudge, J. L., & Ernst, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.013 · Cited by 173 · see citing works
Dichter, G. S., Kozink, R. V., McClernon, F. J., & Smoski, M. J. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.09.048 · Cited by 170 · see citing works
Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortium
Walton, E., Hibar, D. P., van Erp, T. G. M., Potkin, S. G., Roiz‐Santiáñez, R., Crespo‐Facorro, B., Suárez‐Pinilla, P., van Haren, N. E. M., de Zwarte, S. M. C., Kahn, R. S., et al. (2017) · Psychological Medicine · doi:10.1017/s0033291717001283 · Cited by 168 · see citing works
Sonuga-Barke, E. J. S., Cortese, S., Fairchild, G. F., & Stringaris, A. K. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12496 · Cited by 167 · see citing works
Broyd, S. J., Richards, H. J., Helps, S. K., Chronaki, G., Bamford, S., & Sonuga-Barke, E. J. S. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.05.015 · Cited by 166 · see citing works
Reward processing in unipolar and bipolar depression: A functional MRI study
Redlich, R., Dohm, K., Grotegerd, D., Opel, N., Zwitserlood, P., Heindel, W., Arolt, V., Kugel, H., & Dannlowski, U. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.110 · Cited by 164 · see citing works
Pfabigan, D. M., Seidel, E., Sladky, R., Hahn, A., Paul, K., Grahl, A., Küblböck, M., Kraus, C., Hummer, A., Kranz, G. S., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.077 · Cited by 159 · see citing works
Vartanian, O. A., & Skov, M. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.03.004 · Cited by 156 · see citing works
Schreuders, E., Braams, B. R., Blankenstein, N. E., Peper, J. S., Güroğlu, B., & Crone, E. A. (2018) · Child Development · doi:10.1111/cdev.13056 · Cited by 156 · see citing works
The functional neuroanatomy of decision making: Prefrontal control of thought and action
Coutlee, C. G., & Huettel, S. A. (2011) · Brain Research · doi:10.1016/j.brainres.2011.05.053 · Cited by 153 · see citing works
Neural Processing of Reward and Punishment in Young People at Increased Familial Risk of Depression
McCabe, C., Woffindale, C., Harmer, C. J., & Cowen, P. J. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.04.034 · Cited by 152 · see citing works
Modulating musical reward sensitivity up and down with transcranial magnetic stimulation
Herrero, E. M., Dagher, A., & Zatorre, R. J. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0241-z · Cited by 149 · see citing works
Gerlach, K. D., Spreng, R. N., Madore, K. P., & Schacter, D. L. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu001 · Cited by 148 · see citing works
Osuch, E., Ford, K., Wrath, A., Bartha, R., & Neufeld, R. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.05.003 · Cited by 144 · see citing works
Olbrich, S., Tränkner, A., Chittka, T., Hegerl, U., & Schönknecht, P. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.02.010 · Cited by 143 · see citing works
Predicting personality from network-based resting-state functional connectivity
Nostro, A. D., Müller, V. I., Varikuti, D. P., Pläschke, R. N., Hoffstaedter, F., Langner, R., Patil, K. R., & Eickhoff, S. B. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1651-z · Cited by 138 · see citing works
Annual research review: on the developmental neuropsychology of substance use disorders
J. Conrod, P., & Nikolaou, K. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12516 · Cited by 137 · see citing works
Sheth, C. S., McGlade, E., & Yurgelun-Todd, D. A. (2017) · Chronic Stress · doi:10.1177/2470547017715645 · Cited by 136 · see citing works
The neurobiology of alcohol consumption and alcoholism: An integrative history
Tabakoff, B., & Hoffman, P. L. (2013) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2013.10.009 · Cited by 135 · see citing works
Inferring affect from fMRI data
Knutson, B. D., Katovich, K., & Suri, G. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.006 · Cited by 135 · see citing works
Wu, M., Brockmeyer, T., Hartmann, M., Skunde, M., Herzog, W., & Friederich, H. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.11.017 · Cited by 132 · see citing works
Ryan, N. C., Struve, M., Whelan, R., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Büchel, C., Flor, H., Fauth‐Bühler, M., et al. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13111499 · Cited by 130 · see citing works
Functional brain imaging predicts public health campaign success
Falk, E. B., O’Donnell, M. B., Tompson, S., Gonzalez, R., Cin, S. D., Strecher, V. J., Cummings, K. M., & An, L. C. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv108 · Cited by 128 · see citing works
Claus, E. D., Blaine, S. K., Filbey, F. M., Mayer, A. R., & Hutchison, K. E. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.134 · Cited by 124 · see citing works
McNaughton, N., DeYoung, C. G., & Corr, P. J. (2016) · Neuroimaging Personality, Social Cognition, and Character · doi:10.1016/b978-0-12-800935-2.00002-6 · Cited by 123 · see citing works
Wagner, U., Galli, L., Schott, B. H., Wold, A., van der Schalk, J., Manstead, A. S. R., Scherer, K. R., & Walter, H. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu121 · Cited by 120 · see citing works
Gola, M. K., Draps, M., Marchewka, A., & Sescousse, G. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00402 · Cited by 120 · see citing works
Motivated To Win: Relationship between Anticipatory and Outcome Reward-Related Neural Activity
Pornpattananangkul, N., & Nusslock, R. (2015) · Brain and Cognition · doi:10.1016/j.bandc.2015.09.002 · Cited by 115 · see citing works
Vulnerability to Depression in Youth: Advances From Affective Neuroscience
Kujawa, A., & Burkhouse, K. L. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.09.006 · Cited by 118 · see citing works
Studer, B., Manes, F. F., Humphreys, G. W., Robbins, T. W., & Clark, L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht197 · Cited by 117 · see citing works
The interpretation of computational model parameters depends on the context
Eckstein, M. K., Master, S. L., Xia, L., Dahl, R. E., Wilbrecht, L., & Collins, A. G. E. (2022) · eLife · doi:10.7554/elife.75474 · Cited by 116 · see citing works
Appearance Matters: Neural Correlates of Food Choice and Packaging Aesthetics
van der Laan, L. N., de Ridder, D. T. D., Viergever, M. A., & Smeets, P. A. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041738 · Cited by 112 · see citing works
Worhunsky, P. D., Malison, R. T., Rogers, R. D., & Potenza, M. N. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.09.013 · Cited by 112 · see citing works
Surprise-related activation in the nucleus accumbens interacts with music-induced pleasantness
Shany, O., Singer, N., Gold, B. P., Jacoby, N., Tarrasch, R., Hendler, T., & Granot, R. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz019 · Cited by 112 · see citing works
Eckstein, M. K., Wilbrecht, L., & Collins, A. G. E. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.06.004 · Cited by 112 · see citing works
Dopamine Modulates Adaptive Prediction Error Coding in the Human Midbrain and Striatum
Diederen, K. M. J., Ziauddeen, H., Vestergaard, M. D., Spencer, T., Schultz, W., & Fletcher, P. C. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.1979-16.2016 · Cited by 110 · see citing works
Novak, B. K., Novak, K. D., Lynam, D. R., & Foti, D. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.07.008 · Cited by 110 · see citing works
Liu, J., Cao, L., Li, H., Gao, Y., Bu, X., Liang, K., Bao, W., Zhang, S., Qiu, H., Li, X., et al. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104574 · Cited by 109 · see citing works
Differential neural circuitry and self-interest in realvshypothetical moral decisions
FeldmanHall, O., Dalgleish, T., Thompson, R., Evans, D., Schweizer, S., & Mobbs, D. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss069 · Cited by 109 · see citing works
von Rhein, D., Cools, R., Zwiers, M. P., van der Schaaf, M., Franke, B., Luman, M., Oosterlaan, J., Heslenfeld, D. J., Hoekstra, P. J., Hartman, C. A., et al. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.02.012 · Cited by 108 · see citing works
- 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
