Cognitive regulation during decision making shifts behavioral control between ventromedial and dorsolateral prefrontal value systems
Open accessAbstract
Cognitive regulation is often used to influence behavioral outcomes. However, the computational and neurobiological mechanisms by which it affects behavior remain unknown. We studied this issue using an fMRI task in which human participants used cognitive regulation to upregulate and downregulate their cravings for foods at the time of choice. We found that activity in both ventromedial prefrontal cortex (vmPFC) and dorsolateral prefrontal cortex (dlPFC) correlated with value. We also found evidence that two distinct regulatory mechanisms were at work: value modulation, which operates by changing the values assigned to foods in vmPFC and dlPFC at the time of choice, and behavioral control modulation, which operates by changing the relative influence of the vmPFC and dlPFC value signals on the action selection process used to make choices. In particular, during downregulation, activation decreased in the value-sensitive region of dlPFC (indicating value modulation) but not in vmPFC, and the relative contribution of the two value signals to behavior shifted toward the dlPFC (indicating behavioral control modulation). The opposite pattern was observed during upregulation: activation increased in vmPFC but not dlPFC, and the relative contribution to behavior shifted toward the vmPFC. Finally, ventrolateral PFC and posterior parietal cortex were more active during both upregulation and downregulation, and were functionally connected with vmPFC and dlPFC during cognitive regulation, which suggests that they help to implement the changes to the decision-making circuitry generated by cognitive regulation.
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Both NAc and vmPFC have been shown to be important predictors of changes in appetitive and self-regulatory behaviors in the real world.
“both regions have been shown to be important predictors of changes in appetitive and self-regulatory behaviors in the real world [45],[80],[81]”
From Distinct Brain Systems Mediate the Effects of Nociceptive Input and Self-Regulation on Pain (2015) · cites this paper as [45]
One potential explanation for the DLPFC negative result is that DLPFC might only be involved in tasks involving the evaluation of sufficiently abstract stimuli or self-regulation.
“One potential explanation for this negative result is that DLPFC might only be involved in tasks involving the evaluation of sufficiently abstract stimuli or self-regulation (Hutcherson et al., 2012), which are relatively uncommon in the existing literature.”
From Informatic parcellation of the network involved in the computation of subjective value (2014) · cites this paper as Hutcherson et al., 2012
More patient behavior may come from control processes that shift attention away from immediate rewards or emphasize future goals.
“more patient behavior may result from control processes that bias attention away from immediate rewards and/or emphasize the importance of future goals (24, 25).”
From Adolescent impatience decreases with increased frontostriatal connectivity (2015) · cites this paper as [25]
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Cites
Gross, J. J. (1998) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.74.1.224 · Cited by 4,671 · cited 1× · see citing works
“We chose this length to ensure that subjects had sufficient time to deploy cognitive regulation (Gross, 1998), and to investigate whether modulation took place during food evaluation, during response initiation, or both.”
Self-citationThe cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495 · see citing works
Self-citationSeparate neural systems value immediate and delayed monetary rewards
McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1100907 · Cited by 3,089 · see citing works
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
Ratcliff, R., & McKoon, G. (2008) · Neural Computation · doi:10.1162/neco.2008.12-06-420 · Cited by 3,059 · see citing works
Measuring utility by a single-response sequential method
Becker, G. M., DeGroot, M. H., & Marschak, J. (1964) · Systems Research and Behavioral Science · doi:10.1002/bs.3830090304 · Cited by 2,720 · see citing works
A framework for studying the neurobiology of value-based decision making
Rangel, A., Camerer, C., & Montague, P. R. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2357 · Cited by 2,184 · see citing works
Self-citationOchsner, K. N., Ray, R. D., Cooper, J. C., Robertson, E. R., Chopra, S., Gabrieli, J. D. E., & Gross, J. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.030 · Cited by 2,113 · see citing works
Self-citationSelf-Control in Decision-Making Involves Modulation of the vmPFC Valuation System
Hare, T. A., Camerer, C. F., & Rangel, A. (2009) · Science · doi:10.1126/science.1168450 · Cited by 1,928 · see citing works
Self-citationDecision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.
Busemeyer, J. R., & Townsend, J. T. (1993) · Psychological Review · doi:10.1037/0033-295x.100.3.432 · Cited by 1,925 · 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
Bogacz, R., Brown, E., Moehlis, J., Holmes, P. J., & Cohen, J. D. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.700 · Cited by 1,845 · see citing works
Prefrontal-Subcortical Pathways Mediating Successful Emotion Regulation
Wager, T. D., Davidson, M. L., Hughes, B. L., Lindquist, M. A., & Ochsner, K. N. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.006 · Cited by 1,761 · cited 2× · see citing works
“…regulation of decision making overlap considerably with those found during cognitive regulation of emotional experience (Ochsner et al., 2004; Wager et al., 2008) and are thought to play important roles in attentional and cognitive control (Badre and Wagner, 2005; Badre et al., 2005; Decety…”
BackgroundMeasuring Utility by a Single-Response Sequential Method (1964)
Becker, G. M., & DeGroot, M. H. (1974) · Springer eBooks · doi:10.1007/978-94-010-9276-0_16 · Cited by 1,592 · see citing works
Visual fixations and the computation and comparison of value in simple choice
Krajbich, I., Armel, C., & Rangel, A. (2010) · Nature Neuroscience · doi:10.1038/nn.2635 · Cited by 1,408 · see citing works
Self-citationDecety, J., & Lamm, C. (2007) · The Neuroscientist · doi:10.1177/1073858407304654 · Cited by 1,044 · see citing works
Neural Economics and the Biological Substrates of Valuation
Montague, P. R., & Berns, G. S. (2002) · Neuron · doi:10.1016/s0896-6273(02)00974-1 · Cited by 994 · see citing works
The Neurobiology of Decision: Consensus and Controversy
Kable, J. W., & Glimcher, P. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.003 · Cited by 928 · see citing works
Badre, D., Poldrack, R. A., Paré-Blagoev, E. J., Insler, R. Z., & Wagner, A. D. (2005) · Neuron · doi:10.1016/j.neuron.2005.07.023 · Cited by 914 · 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
Self-citationGitelman, D. R., Penny, W. D., Ashburner, J., & Friston, K. J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00058-2 · Cited by 799 · 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
Self-citationBeckmann, M., Johansen-Berg, H., & Rushworth, M. F. S. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3328-08.2009 · Cited by 789 · see citing works
Prefrontal–striatal pathway underlies cognitive regulation of craving
Kober, H., Mende-Siedlecki, P., Kross, E. F., Weber, J., Mischel, W., Hart, C. L., & Ochsner, K. N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007779107 · Cited by 695 · see citing works
Changes of mind in decision-making
Resulaj, A., Kiani, R., Wolpert, D. M., & Shadlen, M. N. (2009) · Nature · doi:10.1038/nature08275 · Cited by 678 · see citing works
Cognitive Therapy of Substance Abuse
Beck, A. T., Wright, F. D., Newman, C. F., Liese, B. S., & Stein, D. J. (1995) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.9.2.136 · Cited by 677 · see citing works
Chib, V. S., Rangel, A., Shimojo, S., & O'Doherty, J. P. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2575-09.2009 · Cited by 643 · see citing works
Self-citationNeural Correlates of Positive and Negative Emotion Regulation
Kim, S. H., & Hamann, S. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.5.776 · Cited by 615 · cited 1× · see citing works
“However, others find increases in more anterior regions of dlPFC when increasing negative emotion (Kim and Hamann, 2007).”
BackgroundHare, T. A., Malmaud, J., & Rangel, A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6383-10.2011 · Cited by 556 · see citing works
Self-citationChoosing 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
Neural computations associated with goal-directed choice
Rangel, A., & Hare, T. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.03.001 · Cited by 532 · see citing works
Self-citationHow the brain integrates costs and benefits during decision making
Basten, U., Biele, G., Heekeren, H. R., & Fiebach, C. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908104107 · Cited by 466 · see citing works
An automatic valuation system in the human brain: Evidence from functional neuroimaging
Lebreton, M., Jorge, S., Michel, V., Thirion, B., & Pessiglione, M. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.040 · Cited by 455 · see citing works
Mechanisms underlying cortical activity during value-guided choice
Hunt, L. T., Kolling, N., Soltani, A., Woolrich, M. W., Rushworth, M. F. S., & Behrens, T. E. J. (2012) · Nature Neuroscience · doi:10.1038/nn.3017 · Cited by 454 · see citing works
Transformation of stimulus value signals into motor commands during simple choice
Hare, T. A., Schultz, W., Camerer, C. F., O’Doherty, J. P., & Rangel, A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1109322108 · Cited by 368 · see citing works
Self-citationPlassmann, H., O'Doherty, J. P., & Rangel, A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0788-10.2010 · Cited by 356 · see citing works
Self-citationMilosavljevic, M., Malmaud, J., Huth, A. G., Christof Koch, A., & Rangel, A. (2010) · Judgment and Decision Making · doi:10.1017/s1930297500001285 · Cited by 320 · see citing works
Self-citationDissociating valuation and saliency signals during decision-making
Litt, A., Plassmann, H., Shiv, B., & Rangel, A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq065 · Cited by 272 · see citing works
Self-citationPrefrontal Coding of Temporally Discounted Values during Intertemporal Choice
Kim, S., Hwang, J., & Lee, D. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.010 · Cited by 241 · see citing works
Frontal Lobe Mechanisms that Resolve Proactive Interference
Badre, D., & Wagner, A. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi075 · Cited by 233 · see citing works
Cognitive Therapy of Substance Abuse: Theoretical Rationale
Wright, F. D., Beck, A. T., Newman, C. F., & Liese, B. S. (1993) · PsycEXTRA Dataset · doi:10.1037/e495912006-008 · Cited by 233 · see citing works
Regulating the expectation of reward via cognitive strategies
Delgado, M. R., Gillis, M. M., & Phelps, E. A. (2008) · Nature Neuroscience · doi:10.1038/nn.2141 · Cited by 215 · see citing works
General mechanisms for making decisions?
Rushworth, M. F. S., Mars, R. B., & Summerfield, C. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.02.005 · Cited by 119 · see citing works
Decision value computation in DLPFC and VMPFC adjusts to the available decision time
Sokol‐Hessner, P., Hutcherson, C. A. C., Hare, T. A., & Rangel, A. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08076.x · Cited by 84 · see citing works
Self-citationWorsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
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The neural bases of emotion regulation
Etkin, A., Büchel, C., & Gross, J. J. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn4044 · Cited by 1,244 · see citing works
Self-citationInformatic 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
Self-citationCognitive emotion regulation fails the stress test
Raio, C. M., Orederu, T. A., Palazzolo, L., Shurick, A. A., & Phelps, E. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1305706110 · Cited by 302 · see citing works
Distinct Brain Systems Mediate the Effects of Nociceptive Input and Self-Regulation on Pain
Woo, C.-W., Roy, M., Buhle, J. T., & Wager, T. D. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002036 · Cited by 263 · see citing works
The social brain and reward: Social information processing in the human striatum
Bhanji, J. P., & Delgado, M. R. (2014) · WIREs Cognitive Science · doi:10.1002/wcs.1266 · Cited by 256 · see citing works
Adolescent impatience decreases with increased frontostriatal connectivity
van den Bos, W., Rodriguez, C. A., Schweitzer, J. B., & McClure, S. M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1423095112 · Cited by 253 · see citing works
van den Bos, W., Rodriguez, C. A., Schweitzer, J. B., & McClure, S. M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4105-13.2014 · Cited by 178 · see citing works
Pinho, A. L., Ullén, F., Castelo-Branco, M., Fransson, P., & de Manzano, Ö. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv130 · Cited by 147 · see citing works
Li, P., Yang, X., Greenshaw, A. J., Li, S., Luo, J., Han, H., Liu, J., Zhong, Z., Guo, Z., Xiong, H., et al. (2018) · Brain and Behavior · doi:10.1002/brb3.963 · Cited by 52 · see citing works
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Benarroch, E. E. (2016) · Neurology · doi:10.1212/wnl.0000000000003243 · Cited by 52 · see citing works
- Authors
- Hutcherson, C. A., Plassmann, H., Gross, J. J., & Rangel, A.
- Affiliations
- California Institute of Technology (US)
- INSEAD (FR)
- Stanford University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-09-26
- Volume
- 32
- Issue
- 39
- Pages
- 13543-13554
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3689006
- OpenAlex
- W1985867909
- Cited by
- 227
- References
- 44
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 13 · 2023: 18 · 2022: 16 · 2021: 20 · 2020: 20 · 2019: 14 · 2018: 21 · 2017: 20 · 2016: 16 · 2015: 17 · 2014: 17 · 2013: 15 · 2012: 1
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- National Science Foundation (0926544, 0850840, 0851408)
- Gordon and Betty Moore Foundation
- National Institutes of Health
- National Institute on Alcohol Abuse and Alcoholism (R01AA018736)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- cognitive regulation, decision-making, ventromedial prefrontal cortex, dorsolateral prefrontal cortex, food cravings, behavioral control, action selection, functional connectivity, posterior parietal cortex, ventrolateral prefrontal cortex, food choice
- MeSH terms
- Adult, Attention, Brain Mapping, Cognition, Decision Making, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Oxygen, Reaction Time, Regression Analysis, Prefrontal Cortex, Young Adult
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