Medial Frontal Cortex Activity Predicts Information Sampling in Economic Choice
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Abstract
Decision-making not only requires agents to decide what to choose but also how much information to sample before committing to a choice. Previously established frameworks for economic choice argue for a deliberative process of evidence accumulation across time. These tacitly acknowledge a role of information sampling in that decisions are only made once sufficient evidence is acquired, yet few experiments have explicitly placed information sampling under the participant9s control. Here, we use fMRI to investigate the neural basis of information sampling in economic choice by allowing participants (n = 30, sex not recorded) to actively sample information in a multistep decision task. We show that medial frontal cortex (MFC) activity is predictive of further information sampling before choice. Choice difficulty (inverse value difference, keeping sensory difficulty constant) was also encoded in MFC, but this effect was explained away by the inclusion of information sampling as a coregressor in the general linear model. A distributed network of regions across the prefrontal cortex encoded key features of the sampled information at the time it was presented. We propose that MFC is an important controller of the extent to which information is gathered before committing to an economic choice. This role may explain why MFC activity has been associated with evidence accumulation in previous studies in which information sampling was an implicit rather than explicit feature of the decision. SIGNIFICANCE STATEMENT The decisions we make are determined by the information we have sampled before committing to a choice. Accumulator frameworks of decision-making tacitly acknowledge the need to sample further information during the evidence accumulation process until a decision boundary is reached. However, relatively few studies explicitly place this decision to sample further information under the participant9s control. In this fMRI study, we find that MFC activity is related to information sampling decisions in a multistep economic choice task. This suggests that an important role of evidence representations within MFC may be to guide adaptive sequential decisions to sample further information before committing to a final decision.
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Activity in ACC has been linked to information seeking and initiation of behavioral change.
“Activity in ACC has also been linked to information seeking and initiation of behavioral change14,17,22,62–66”
From Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering (2026) · cites this paper as [65]
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Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
Axten, N., Newell, A., & Simon, H. A. (1973) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063712 · Cited by 6,883 · see citing works
A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 6,806 · see citing works
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · cited 2× · see citing works
“Note that similar results were obtained using TFCE (Smith and Nichols, 2009).”
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
Constructive Consumer Choice Processes
Bettman, J. R., Luce, M. F., & Payne, J. W. (1998) · Journal of Consumer Research · doi:10.1086/209535 · Cited by 2,853 · see citing works
Circular analysis in systems neuroscience: the dangers of double dipping
Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience · doi:10.1038/nn.2303 · Cited by 2,696 · 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 time course of perceptual choice: The leaky, competing accumulator model.
Usher, M., & McClelland, J. L. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.550 · Cited by 2,152 · see citing works
Conflict monitoring versus selection-for-action in anterior cingulate cortex
Botvinick, M., Nystrom, L. E., Fissell, K., Carter, C. S., & Cohen, J. D. (1999) · Nature · doi:10.1038/46035 · Cited by 2,044 · see citing works
Payne, J. W. (1976) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(76)90022-2 · Cited by 1,941 · see citing works
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927 · see citing works
Decision 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
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
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
Kriegeskorte, N., Mur, M., Ruff, D. A., Kiani, R., Bodurka, J., Esteky, H., Tanaka, K., & Bandettini, P. A. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.043 · Cited by 1,334 · see citing works
Attention, intention, and priority in the parietal lobe
Bisley, J. W., & Goldberg, M. E. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152823 · Cited by 1,043 · see citing works
Gaze bias both reflects and influences preference
Shimojo, S., Simion, C., Shimojo, E., & Scheier, C. (2003) · Nature Neuroscience · doi:10.1038/nn1150 · Cited by 924 · see citing works
A Toolbox for Representational Similarity Analysis
Nili, H., Wingfield, C., Walther, A., Su, L., Marslen‐Wilson, W. D., & Kriegeskorte, N. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003553 · Cited by 914 · 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
Boorman, E. D., Behrens, T. E. J., Woolrich, M. W., & Rushworth, M. F. S. (2009) · Neuron · doi:10.1016/j.neuron.2009.05.014 · Cited by 665 · see citing works
Kolling, N., Behrens, T. E. J., Mars, R. B., & Rushworth, M. F. S. (2012) · Science · doi:10.1126/science.1216930 · Cited by 629 · see citing works
Confidence in value-based choice
De Martino, B., Fleming, S. M., Garrett, N., & Dolan, R. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3279 · Cited by 534 · see citing works
Towards a neuroscience of active sampling and curiosity
Gottlieb, J., & Oudeyer, P.-Y. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0078-0 · Cited by 494 · 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
Self-citationValue, search, persistence and model updating in anterior cingulate cortex
Kolling, N., Wittmann, M. K., Behrens, T. E. J., Boorman, E. D., Mars, R. B., & Rushworth, M. F. S. (2016) · Nature Neuroscience · doi:10.1038/nn.4382 · Cited by 439 · see citing works
A visual salience map in the primate frontal eye field
Thompson, K. G., & Bichot, N. P. (2005) · Progress in Brain Research · doi:10.1016/s0079-6123(04)47019-8 · Cited by 431 · see citing works
The organization of dorsal frontal cortex in humans and macaques
Sallet, J., Mars, R. B., Noonan, M. P., Neubert, F.-X., Jbabdi, S., O'Reilly, J. X., Filippini, N., Thomas, A. G., & Rushworth, M. F. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5108-12.2013 · Cited by 416 · see citing works
Self-citationDecision Making and Sequential Sampling from Memory
Shadlen, M. N., & Shohamy, D. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.036 · Cited by 412 · 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
Neubert, F.-X., Mars, R. B., Sallet, J., & Rushworth, M. F. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1410767112 · Cited by 365 · see citing works
Behavioral Shifts and Action Valuation in the Anterior Cingulate Cortex
Quilodran, R., Rothé, M., & Procyk, E. (2008) · Neuron · doi:10.1016/j.neuron.2007.11.031 · Cited by 335 · see citing works
A Neural Representation of Categorization Uncertainty in the Human Brain
Grinband, J., Hirsch, J., & Ferrera, V. P. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.032 · Cited by 330 · see citing works
Partially Distributed Representations of Objects and Faces in Ventral Temporal Cortex
O’Toole, A. J., Jiang, F., Abdi, H., & Haxby, J. V. (2005) · Journal of Cognitive Neuroscience · doi:10.1162/0898929053467550 · Cited by 321 · see citing works
Milosavljevic, 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
Rostrolateral Prefrontal Cortex and Individual Differences in Uncertainty-Driven Exploration
Badre, D., Doll, B. B., Long, N. M., & Frank, M. J. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.025 · Cited by 309 · see citing works
Blanchard, T. C., Hayden, B. Y., & Bromberg-Martin, E. S. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.050 · Cited by 301 · see citing works
Neural computations underlying action-based decision making in the human brain
Wunderlich, K., Rangel, A., & O'Doherty, J. P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901077106 · Cited by 301 · 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
Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses?
Op de Beeck, H. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.047 · Cited by 275 · see citing works
The neural code of reward anticipation in human orbitofrontal cortex
Kahnt, T., Heinzle, J., Park, S. Q., & Haynes, J.-D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912838107 · Cited by 274 · see citing works
Klein-Flügge, M. C., Kennerley, S. W., Friston, K. J., & Bestmann, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0292-16.2016 · Cited by 247 · see citing works
Fictive Reward Signals in the Anterior Cingulate Cortex
Hayden, B. Y., Pearson, J. M., & Platt, M. L. (2009) · Science · doi:10.1126/science.1168488 · Cited by 235 · see citing works
Surprise and Error: Common Neuronal Architecture for the Processing of Errors and Novelty
Wessel, J. R., Danielmeier, C., Morton, J. B., & Ullsperger, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6352-11.2012 · Cited by 226 · see citing works
Triple dissociation of attention and decision computations across prefrontal cortex
Hunt, L. T., Malalasekera, W. M. N., de Berker, A. O., Miranda, B., Farmer, S. F., Behrens, T. E. J., & Kennerley, S. W. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0239-5 · Cited by 222 · see citing works
Self-citationPisauro, M. A., Fouragnan, E. F., Retzler, C., & Philiastides, M. G. (2017) · Nature Communications · doi:10.1038/ncomms15808 · Cited by 217 · see citing works
Guitart-Masip, M., Fuentemilla, L., Bach, D. R., Huys, Q. J. M., Dayan, P., Dolan, R. J., & Duzel, E. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.6376-10.2011 · Cited by 216 · see citing works
Gaze Amplifies Value in Decision Making
Smith, S. M., & Krajbich, I. M. (2018) · Psychological Science · doi:10.1177/0956797618810521 · Cited by 204 · see citing works
Attention as an effect not a cause
Krauzlis, R. J., Bollimunta, A., Arcizet, F., & Wang, L. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.05.008 · Cited by 193 · see citing works
Gluth, S., Rieskamp, J., & Büchel, C. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0727-12.2012 · Cited by 187 · see citing works
Venkatraman, V., Rosati, A. G., Taren, A. A., & Huettel, S. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2708-09.2009 · Cited by 186 · see citing works
Functional Imaging of Decision Conflict
Pochon, J.-B., Riis, J., Sanfey, A. G., Nystrom, L. E., & Cohen, J. D. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4195-07.2008 · Cited by 179 · see citing works
Confirmation Bias through Selective Overweighting of Choice-Consistent Evidence
Talluri, B. C., Urai, A. E., Tsetsos, K., Usher, M., & Donner, T. H. (2018) · Current Biology · doi:10.1016/j.cub.2018.07.052 · Cited by 168 · see citing works
Boorman, E. D., Rushworth, M. F. S., & Behrens, T. E. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3022-12.2013 · Cited by 165 · see citing works
Single-Unit Recordings in the Macaque Face Patch System Reveal Limitations of fMRI MVPA
Dubois, J., de Berker, A. O., & Tsao, D. Y. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4037-14.2015 · Cited by 165 · see citing works
Neural mechanisms resolving exploitation-exploration dilemmas in the medial prefrontal cortex
Domenech, P., Rheims, S., & Koechlin, É. (2020) · Science · doi:10.1126/science.abb0184 · Cited by 160 · see citing works
Diverse motives for human curiosity
Kobayashi, K., Ravaioli, S., Baranès, A., Woodford, M., & Gottlieb, J. P. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0589-3 · Cited by 157 · see citing works
Stewart, N., Hermens, F., & Matthews, W. J. (2015) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1854 · Cited by 152 · see citing works
Mormann, M., Malmaud, J., Huth, A. G., Christof Koch, A., & Rangel, A. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1901533 · Cited by 130 · see citing works
A neural network for information seeking
White, J. K., Bromberg-Martin, E. S., Heilbronner, S. R., Zhang, K., Pai, J., Haber, S. N., & Monosov, I. E. (2019) · Nature Communications · doi:10.1038/s41467-019-13135-z · Cited by 129 · see citing works
Visual attention modulates the integration of goal-relevant evidence and not value
Sepulveda, P., Usher, M., Davies, N., Benson, A. A., Ortoleva, P., & De Martino, B. (2020) · eLife · doi:10.7554/elife.60705 · Cited by 121 · see citing works
Navarro, D., Newell, B. R., & Schulze, C. (2016) · Cognitive Psychology · doi:10.1016/j.cogpsych.2016.01.001 · Cited by 101 · see citing works
Pure correlates of exploration and exploitation in the human brain
Blanchard, T. C., & Gershman, S. J. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0556-2 · Cited by 96 · see citing works
Economic choice: the foraging perspective
Hayden, B. Y. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.12.002 · Cited by 88 · see citing works
How Outcome Uncertainty Mediates Attention, Learning, and Decision-Making
Monosov, I. E. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.06.009 · Cited by 87 · see citing works
Neural structure mapping in human probabilistic reward learning
Luyckx, F., Nili, H., Spitzer, B., & Summerfield, C. (2019) · eLife · doi:10.7554/elife.42816 · Cited by 84 · see citing works
Self-citationSpecific frontal neural dynamics contribute to decisions to check
Stoll, F. M., Fontanier, V., & Procyk, E. (2016) · Nature Communications · doi:10.1038/ncomms11990 · Cited by 83 · see citing works
Bhandari, A., Gagne, C., & Badre, D. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01291 · Cited by 73 · see citing works
Parietal neurons encode information sampling based on decision uncertainty
Horan, M., Daddaoua, N., & Gottlieb, J. P. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0440-1 · Cited by 71 · see citing works
The neural basis of value accumulation in intertemporal choice
Rodriguez, C. A., Turner, B. M., Zandt, T. V., & McClure, S. M. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12997 · Cited by 68 · see citing works
Approach-Induced Biases in Human Information Sampling
Hunt, L. T., Rutledge, R. B., Malalasekera, W. M. N., Kennerley, S. W., & Dolan, R. J. (2016) · PLOS Biology · doi:10.1371/journal.pbio.2000638 · Cited by 60 · see citing works
Self-citationSelection and inhibition mechanisms for human voluntary action decisions
Zhang, J., Hughes, L. E., & Rowe, J. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.058 · Cited by 59 · see citing works
Curiosity, information demand and attentional priority
Gottlieb, J. P., Cohanpour, M., Li, Y., Singletary, N. M., & Zabeh, E. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.07.016 · Cited by 54 · see citing works
Does the utility of information influence sampling behavior
Markant, D. B., & Gureckis, T. M. (2012) · eScholarship (California Digital Library) · Cited by 38 · see citing works
Visual attention modulates the integration of goal-relevant evidence and not valuePreprint
Sepúlveda, P., Usher, M., Davies, N., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.14.031971 · Cited by 33 · see citing works
Dima, D. C., Perry, G., & Singh, K. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.033 · Cited by 30 · see citing works
Preference and the time to choose
Jamieson, D. G., & Petrusic, W. M. (1977) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(77)90054-x · Cited by 27 · see citing works
Approach-induced biases in human information samplingPreprint
Hunt, L. T., Rutledge, R. B., Malalasekera, W. M. N., Kennerley, S. W., & Dolan, R. J. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/047787 · Cited by 12 · see citing works
Self-citationA neural network for information seekingPreprint
White, J., Bromberg-Martin, E. S., Heilbronner, S. R., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/720433 · Cited by 11 · see citing works
Triple dissociation of attention and decision computations across prefrontal cortexPreprint
Hunt, L. T., Malalasekera, W. M. N., de Berker, A. O., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/171173 · Cited by 9 · see citing works
Self-citationPure Correlates of Exploration and Exploitation in the Human BrainPreprint
Blanchard, T. C., & Gershman, S. J. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/103135 · Cited by 6 · see citing works
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Spiering, L., Trier, H. A., O’Reilly, J. X., Kolling, N., Wittmann, M. K., Rushworth, M. F. S., & Scholl, J. (2025) · Nature Communications · doi:10.1038/s41467-025-67853-8 · Cited by 2 · see citing works
Self-citationD’Ambrogio, S., Grohn, J., Khalighinejad, N., Mattar, M. G., Hunt, L., & Rushworth, M. F. S. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02342-9 · Cited by 1 · see citing works
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- Authors
- Kaanders, P., Nili, H., O'Reilly, J. X., & Hunt, L.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Kaanders, Paula
- Hunt, Laurence
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2021-08-19
- Volume
- 41
- Issue
- 40
- Pages
- 8403-8413
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC8496191
- OpenAlex
- W3193487652
- Cited by
- 27
- References
- 81
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 2 · 2023: 1 · 2022: 9 · 2021: 6
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion, cc-by)
- Funders
- Wellcome Trust (208789, 208789/Z/17/Z, Z/17/Z, 215350/Z/19/Z)
- Royal Society (208789/Z/17/Z, Z/17/Z)
- Medical Research Council (MR/L019639/1, MR/T031344/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- information sampling, economic choice, medial frontal cortex, evidence accumulation, sequential decision making, prefrontal cortex, decision difficulty, decision boundaries
- MeSH terms
- Adolescent, Adult, Choice Behavior, Female, Forecasting, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Photic Stimulation, Reward, Prefrontal Cortex, Young Adult, Economics, Behavioral
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