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Distinct encoding of decision confidence in human medial prefrontal cortex
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Abstract
Abstract Our confidence in a choice and the evidence pertaining to a choice appear to be inseparable. An emerging computational consensus is, however, that the brain should maintain separate estimates of these quantities for adaptive behavioural control. Here we devised a psychophysical task to decouple confidence in a perceptual decision from both the reliability of sensory evidence and the relation of such evidence with respect to a choice boundary. Using human fMRI, we found that an area in medial prefrontal cortex (perigenual anterior cingulate cortex, pgACC) tracked expected performance, an aggregate signature of decision confidence, whereas neural areas previously proposed to encode decision confidence instead tracked sensory reliability (posterior parietal cortex and ventral striatum) or boundary distance (pre-supplementary motor area). Supporting that information encoded by pgACC is central to a subjective sense of decision confidence, we show that pgACC activity does not simply co-vary with expected performance but is also linked to within-subject and between-subject variation in explicit confidence estimates. Our study is consistent with the proposal that the brain maintains choice-dependent and choice-independent estimates of certainty, and sheds light on why dysfunctional confidence often emerges following prefrontal lesions and/or degeneration. Significance Statement Recent computational models propose that our sense of confidence in a choice reflects an estimate of the probability that the choice is correct. However, it has proven difficult to experimentally separate decision confidence from its component parts, such as our certainty about perceptual evidence or choice requirements. Here we devised a task to dissociate these quantities and isolate a distinct encoding of decision confidence in the medial prefrontal cortex of the human brain. We show that activity in this area not only tracks expected performance on a task but is also related to both within-subject and between-subject variation in a subjective sense of confidence. Our study illuminates why dysfunctional confidence often emerges following damage to prefrontal cortex.
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“Whereas sensory uncertainty (motion coherence) was related to activity in extrastriate visual and parietal cortex (notably, areas MT+ and bilateral intraparietal sulcus, a human homologue of LIP), signatures of propositional confidence were instead observed within perigenual anterior cingulate cortex (pgACC), part of the ventromedial prefrontal cortex (vmPFC).”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Bang & Fleming 2018
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“Early confidence-related signals were seen in vmPFC [in a pgACC region similar to the one identified by Bang & Fleming (2018)], whereas later judgment-related activation was seen in lateral frontopolar cortex.”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Bang & Fleming 2018
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Citations
Cites
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
Quest: A Bayesian adaptive psychometric method
Watson, A. B., & Pelli, D. G. (1983) · Perception & Psychophysics · doi:10.3758/bf03202828 · Cited by 2,398
The analysis of visual motion: a comparison of neuronal and psychophysical performance
Britten, K., Shadlen, M., Newsome, W., & Movshon, J. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04745.1992 · Cited by 1,958
Maunsell, J., & van Essen, D. (1983) · The Journal of Neuroscience · doi:10.1523/jneurosci.03-12-02563.1983 · Cited by 1,602
Roitman, J. D., & Shadlen, M. N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-21-09475.2002 · Cited by 1,589 · cited 4×
“2A, logistic regression; coherence: t (31) = 11.”
BackgroundInfluentialBirn, R. M., Diamond, J. B., Smith, M. A., & Bandettini, P. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.048 · Cited by 1,381
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
Wiecki, T. V., Sofer, I., & Frank, M. J. (2013) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2013.00014 · Cited by 1,047
Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex
Kiani, R., & Shadlen, M. N. (2009) · Science · doi:10.1126/science.1169405 · Cited by 1,027
Modeling Geometric Deformations in EPI Time Series
Andersson, J., Hutton, C., Ashburner, J., Turner, R., & Friston, K. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0746 · Cited by 1,004
Neural correlates, computation and behavioural impact of decision confidence
Kepecs, A., Uchida, N., Zariwala, H. A., & Mainen, Z. F. (2008) · Nature · doi:10.1038/nature07200 · Cited by 809
Functional Specialization within Rostral Prefrontal Cortex (Area 10): A Meta-analysis
Gilbert, S. J., Spengler, S., Simons, J. S., Steele, J. D., Lawrie, S. M., Frith, C., & Burgess, P. W. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.6.932 · Cited by 701
Striatum and pre-SMA facilitate decision-making under time pressure
Forstmann, B. U., Dutilh, G., Brown, S. D., Neumann, J., von Cramon, D. Y., Ridderinkhof, K. R., & Wagenmakers, E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805903105 · Cited by 675
Birn, R. M., Smith, M. A., Jones, T. B., & Bandettini, P. A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.059 · Cited by 651
Probabilistic population codes for Bayesian decision making
Beck, J. M., Ma, W. J., Kiani, R., Hanks, T., Churchland, A. K., Roitman, J., Shadlen, M. N., Latham, P. E., & Pouget, A. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.021 · Cited by 645
Motivation and cognitive control in the human prefrontal cortex
Kouneiher, F., Charron, S., & Koechlin, E. (2009) · Nature Neuroscience · doi:10.1038/nn.2321 · Cited by 590
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
Self-citationConfidence and certainty: Distinct probabilistic quantities for different goals
Pouget, A., Drugowitsch, J., & Kepecs, A. (2016) · Nature Neuroscience · doi:10.1038/nn.4240 · Cited by 528
Chang, C., & Glover, G. H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.012 · Cited by 503
Decision Making and Sequential Sampling from Memory
Shadlen, M. N., & Shohamy, D. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.036 · Cited by 434
Neubert, F.-X., Mars, R. B., Thomas, A. G., Sallet, J., & Rushworth, M. F. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.11.012 · Cited by 416
Prefrontal Contributions to Metacognition in Perceptual Decision Making
Fleming, S. M., Huijgen, J., & Dolan, R. J. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.6489-11.2012 · Cited by 391
Self-citationBrain mediators of predictive cue effects on perceived pain
Atlas, L. Y., Bolger, N., Lindquist, M. A., & Wager, T. D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0057-10.2010 · Cited by 389
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 384
Brain Areas Sensitive to Coherent Visual Motion
Braddick, O., O'Brien, J. M. D., Wattam-Bell, J., Atkinson, J., Hartley, T., & Turner, R. (2001) · Perception · doi:10.1068/p3048 · Cited by 351
Confidence as Bayesian probability: From neural origins to behavior
Meyniel, F., Sigman, M., & Mainen, Z. F. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.039 · Cited by 349
Domain-specific impairment in metacognitive accuracy following anterior prefrontal lesions
Fleming, S. M., Ryu, J., Golfinos, J. G., & Blackmon, K. (2014) · Brain · doi:10.1093/brain/awu221 · Cited by 331
Self-citationNeural Coding of Uncertainty and Probability
Ma, W. J., & Jazayeri, M. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014017 · Cited by 290
Detection of time-varying signals in event-related fMRI designs
Grinband, J., Wager, T. D., Lindquist, M. A., Ferrera, V. P., & Hirsch, J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.065 · Cited by 271
Automatic integration of confidence in the brain valuation signal
Lebreton, M., Abitbol, R., Daunizeau, J., & Pessiglione, M. (2015) · Nature Neuroscience · doi:10.1038/nn.4064 · Cited by 265
Responses of pulvinar neurons reflect a subject's confidence in visual categorization
Komura, Y., Nikkuni, A., Hirashima, N., Uetake, T., & Miyamoto, A. (2013) · Nature Neuroscience · doi:10.1038/nn.3393 · Cited by 226
Diffusion model analysis with MATLAB: A DMAT primer
Vandekerckhove, J., & Tuerlinckx, F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.1.61 · Cited by 218
The impact of physiological noise correction on fMRI at 7 T
Hutton, C., Josephs, O., Stadler, J., Featherstone, E., Reid, A., Speck, O., Bernarding, J., & Weiskopf, N. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.018 · Cited by 211
Midbrain dopamine neurons signal belief in choice accuracy during a perceptual decision
Lak, A., Nomoto, K., Keramati, M., Sakagami, M., & Kepecs, A. (2017) · Current Biology · doi:10.1016/j.cub.2017.02.026 · Cited by 170
Self-Other Mergence in the Frontal Cortex during Cooperation and Competition
Wittmann, M. K., Kolling, N., Faber, N. S., Scholl, J., Nelissen, N., & Rushworth, M. F. S. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.022 · Cited by 168
The Relationship between Perceptual Decision Variables and Confidence in the Human Brain
Hebart, M. N., Schriever, Y., Donner, T. H., & Haynes, J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu181 · Cited by 156
Neural mediators of changes of mind about perceptual decisions
Fleming, S. M., van der Putten, E. J., & Daw, N. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0104-6 · Cited by 155
Self-citationConfidence matching in group decision-making
Bang, D., Aitchison, L., Moran, R., Herce Castanon, S., Rafiee, B., Mahmoodi, A., Lau, J. Y. F., Latham, P. E., Bahrami, B., & Summerfield, C. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0117 · Cited by 141
Self-citationConfidence Is the Bridge between Multi-stage Decisions
van den Berg, R., Zylberberg, A., Kiani, R., Shadlen, M. N., & Wolpert, D. M. (2016) · Current Biology · doi:10.1016/j.cub.2016.10.021 · Cited by 125
Neuronal Correlates of Metacognition in Primate Frontal Cortex
Middlebrooks, P. G., & Sommer, M. A. (2012) · Neuron · doi:10.1016/j.neuron.2012.05.028 · Cited by 124
The impact of evidence reliability on sensitivity and bias in decision confidence.
Boldt, A., de Gardelle, V., & Yeung, N. (2017) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/xhp0000404 · Cited by 110
Purcell, B. A., & Kiani, R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1524685113 · Cited by 106
Variance misperception explains illusions of confidence in simple perceptual decisions
Zylberberg, A., Roelfsema, P. R., & Sigman, M. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.05.012 · Cited by 97
Frontal eye field neurons signal changes in decision criteria
Ferrera, V. P., Yanike, M., & Cassanello, C. R. (2009) · Nature Neuroscience · doi:10.1038/nn.2434 · Cited by 90
Metacognitive ability correlates with hippocampal and prefrontal microstructure
Allen, M., Glen, J. C., Müllensiefen, D., Schwarzkopf, D. S., Fardo, F., Frank, D., Callaghan, M. F., & Rees, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.008 · Cited by 85
Superior colliculus neuronal ensemble activity signals optimal rather than subjective confidence
Odegaard, B., Grimaldi, P., Cho, S. H., Peters, M. A. K., Lau, H. C., & Basso, M. A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711628115 · Cited by 78
Glover (2000) · doi:10.1002/1522-2594(200007)44:1
Verification of forecasts expressed in terms of probability
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078%3c0001:vofeit%3e2.0.co;2 · cited 2×
“We used an incentive-compatible scoring rule (19) under which it was in subjects’ best interest”
Method
Cited by
Sorted by citations
Metacognition and Confidence: A Review and Synthesis
Fleming, S. M. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-022423-032425 · Cited by 256
“Indeed, understanding the interrelationships between different stages of metacognitive computation is only just beginning to be investigated (Geurts et al., 2022, Shekhar & Rahnev, 2018, Bang & Fleming, 2018), but represents a major goal for the field (Rahnev et al., 2022).”
InfluentialSelf-citationMedial and orbital frontal cortex in decision-making and flexible behavior
Klein-Flügge, M. C., Bongioanni, A., & Rushworth, M. F. S. (2022) · Neuron · doi:10.1016/j.neuron.2022.05.022 · Cited by 244
Vaccaro, A. G., & Fleming, S. M. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818810591 · Cited by 218
Self-citationHuman Metacognition Across Domains: Insights from Individual Differences and Neuroimaging
Rouault, M., McWilliams, A., Allen, M. G., & Fleming, S. M. (2018) · Personality Neuroscience · doi:10.1017/pen.2018.16 · Cited by 176
Self-citationForming global estimates of self-performance from local confidence
Rouault, M., Dayan, P., & Fleming, S. M. (2019) · Nature Communications · doi:10.1038/s41467-019-09075-3 · Cited by 134
Self-citation
Metadata
- Authors
- Bang, D., & Fleming, S. M.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2018-05-21
- Volume
- 115
- Issue
- 23
- Pages
- 6082-6087
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6003322
- OpenAlex
- W2803340568
- Cited by
- 207
- References
- 48
- Citations by year
- 2026: 17 · 2025: 24 · 2024: 22 · 2023: 25 · 2022: 32 · 2021: 27 · 2020: 36 · 2019: 15 · 2018: 9
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Wellcome (203147/Z/16/Z)
- 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 › Visual perception and processing mechanisms
- Keywords
- decision confidence, medial prefrontal cortex, pregenual anterior cingulate cortex, perceptual decision making, expected performance, posterior parietal cortex, ventral striatum, pre-supplementary motor area, confidence estimation, prefrontal lesions
- MeSH terms
- Adult, Brain, Brain Mapping, Choice Behavior, Decision Making, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Reproducibility of Results, Prefrontal Cortex
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