Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
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Abstract
The human capacity to compute the likelihood that a decision is correct-known as metacognition-has proven difficult to study in isolation as it usually cooccurs with decision making. Here, we isolated postdecisional from decisional contributions to metacognition by analyzing neural correlates of confidence with multimodal imaging. Healthy volunteers reported their confidence in the accuracy of decisions they made or decisions they observed. We found better metacognitive performance for committed vs. observed decisions, indicating that committing to a decision may improve confidence. Relying on concurrent electroencephalography and hemodynamic recordings, we found a common correlate of confidence following committed and observed decisions in the inferior frontal gyrus and a dissociation in the anterior prefrontal cortex and anterior insula. We discuss these results in light of decisional and postdecisional accounts of confidence and propose a computational model of confidence in which metacognitive performance naturally improves when evidence accumulation is constrained upon committing a decision.
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Metacognitive sensitivity is often better when confidence judgments are provided after, compared to before, an explicit decision has been made.
“Telltale signs of this effect have been confirmed empirically: Metacognitive sensitivity is often better when confidence judgments are provided after, compared to before, an explicit decision has been made (Pereira et al. 2020, Siedlecka et al. 2016, Wokke et al. 2020)”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Pereira et al. 2020
Cites
<b>lmerTest</b> Package: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v082.i13 · Cited by 24,346 · 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
Falkenstein, M., Hohnsbein, J., Hoormann, J., & Blanke, L. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90062-9 · Cited by 1,706 · see citing works
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 · see citing works
Independent EEG Sources Are Dipolar
Delorme, A., Palmer, J., Onton, J., Oostenveld, R., & Makeig, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030135 · Cited by 810 · see citing works
The neural basis of metacognitive ability
Fleming, S. M., & Dolan, R. J. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0417 · Cited by 747 · cited 4× · see citing works
“014], underscoring that in the active condition, RT for correct responses correlated negatively with confidence, and response times for errors correlated positively with confidence [F(1,26) = 23.”
BackgroundInfluentialTwo-stage dynamic signal detection: A theory of choice, decision time, and confidence.
Pleskac, T. J., & Busemeyer, J. R. (2010) · Psychological Review · doi:10.1037/a0019737 · Cited by 722 · see citing works
Neurophysiology of performance monitoring and adaptive behavior
Ullsperger, M., Danielmeier, C., & Jocham, G. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2012 · Cited by 634 · see citing works
Metacognition and consciousness
Koriat, A. (2007) · The Cambridge Handbook of Consciousness · doi:10.1017/cbo9780511816789.012 · Cited by 554 · see citing works
Choice Certainty Is Informed by Both Evidence and Decision Time
Kiani, R., Corthell, L., & Shadlen, M. N. (2014) · Neuron · doi:10.1016/j.neuron.2014.12.015 · Cited by 470 · see citing works
A common mechanism underlies changes of mind about decisions and confidence
van den Berg, R., Anandalingam, K., Zylberberg, A., Kiani, R., Shadlen, M. N., & Wolpert, D. M. (2016) · eLife · doi:10.7554/elife.12192 · Cited by 270 · see citing works
Distinct brain mechanisms for conscious versus subliminal error detection
Charles, L., Van Opstal, F., Marti, S., & Dehaene, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.054 · Cited by 208 · see citing works
Distinct encoding of decision confidence in human medial prefrontal cortex
Bang, D., & Fleming, S. M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1800795115 · Cited by 207 · see citing works
Causal evidence for frontal cortex organization for perceptual decision making
Rahnev, D., Nee, D. E., Riddle, J., Larson, A. S., & D’Esposito, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522551113 · Cited by 200 · see citing works
Human 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 · see citing works
Neural evidence accumulation persists after choice to inform metacognitive judgments
Murphy, P. R., Robertson, I. H., Harty, S., & O'Connell, R. G. (2015) · eLife · doi:10.7554/elife.11946 · Cited by 170 · see citing works
Behavioral, Modeling, and Electrophysiological Evidence for Supramodality in Human Metacognition
Faivre, N., Filevich, E., Solovey, G., Kühn, S., & Blanke, O. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0322-17.2017 · Cited by 129 · see citing works
Self-citationThe neural system of metacognition accompanying decision-making in the prefrontal cortex
Qiu, L., Su, J., Ni, Y., Bai, Y., Zhang, X., Li, X., & Wan, X. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2004037 · Cited by 125 · see citing works
Human VMPFC encodes early signatures of confidence in perceptual decisions
Gherman, S., & Philiastides, M. G. (2018) · eLife · doi:10.7554/elife.38293 · Cited by 107 · see citing works
Yeon, J., Shekhar, M., & Rahnev, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-77820-6 · Cited by 30 · see citing works
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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 · see citing works
“…is often better when confidence judgments are provided after, compared to before, an explicit decision has been made (Siedlecka et al., 2016, Pereira et al., 2020, Wokke et al., 2020), with activity in frontopolar and insula cortex, and beta-band synchrony between motor and frontal cortex,…”
Understanding neural signals of post-decisional performance monitoring: An integrative review
Desender, K., Ridderinkhof, K. R., & Murphy, P. R. (2021) · eLife · doi:10.7554/elife.67556 · Cited by 77 · see citing works
Modeling perceptual confidence and the confidence forced-choice paradigm.
Mamassian, P., & de Gardelle, V. (2022) · Psychological Review · doi:10.1037/rev0000312 · Cited by 70 · see citing works
Neurocomputational mechanisms of confidence in self and others
Bang, D., Moran, R., Daw, N. D., & Fleming, S. M. (2022) · Nature Communications · doi:10.1038/s41467-022-31674-w · Cited by 39 · see citing works
Yeon, J., Shekhar, M., & Rahnev, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-77820-6 · Cited by 30 · see citing works
- Authors
- Pereira, M., Faivre, N., Iturrate, I., Wirthlin, M., Serafini, L., Martin, S., Desvachez, A., Blanke, O., Van De Ville, D., & Millán, J. D. R.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Modena and Reggio Emilia (IT)
- Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, 1202 Geneva, Switzerland;
- University Hospital of Geneva (CH)
- Corresponding author
- Pereira, Michael
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-04
- Volume
- 117
- Issue
- 15
- Pages
- 8382-8390
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3014479265
- Cited by
- 72
- References
- 20
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 10 · 2023: 10 · 2022: 15 · 2021: 12 · 2020: 7 · 2018: 1
- FWCI
- 5.91
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- HAL (submittedVersion, other-oa)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- metacognition, speeded decision making, inferior frontal gyrus, anterior prefrontal cortex, anterior insula, evidence accumulation
- MeSH terms
- Metacognition, Adult, Decision Making, Electroencephalography, Female, Humans, Judgment, Male, Prefrontal Cortex, Young Adult, Multimodal Imaging
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