The DOI matches its Crossref record; 153 of the 155 references it cites were found in a registry or an index, and 2 are not checked yet.
The neural basis of metacognitive ability
Open accessAbstract
Ability in various cognitive domains is often assessed by measuring task performance, such as the accuracy of a perceptual categorization. A similar analysis can be applied to metacognitive reports about a task to quantify the degree to which an individual is aware of his or her success or failure. Here, we review the psychological and neural underpinnings of metacognitive accuracy, drawing on research in memory and decision-making. These data show that metacognitive accuracy is dissociable from task performance and varies across individuals. Convergent evidence indicates that the function of the rostral and dorsal aspect of the lateral prefrontal cortex (PFC) is important for the accuracy of retrospective judgements of performance. In contrast, prospective judgements of performance may depend upon medial PFC. We close with a discussion of how metacognitive processes relate to concepts of cognitive control, and propose a neural synthesis in which dorsolateral and anterior prefrontal cortical subregions interact with interoceptive cortices (cingulate and insula) to promote accurate judgements of performance.
Overview
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
Figures
![Figure 1. (a) A schematic adapted from Shimamura [16] showing how the levels of Nelson and Narens' cognitive psychology model of metacognition can be naturally mapped onto a hierarchical brain structure. (b) The left panel shows a first-order process, such as a simple visual discrimination, that may occur in the absence of metacognitive report. The right panel shows the same discrimination, this time with the information available for a second-order commentary about the decision.](/paper-figures/20555fe269b642c79b10db899e8b7298/the-neural-basis-of-metacognitive-ability-figure-1.jpg)

![Figure 3. Data from a visual decision task demonstrating a dissociation of metacognitive accuracy from task performance. Subjects made a visual decision (either an orientation or contrast judgement) and then provided a retrospective confidence rating. A measure of metacognitive accuracy was derived from these ratings by calculating the area under the type 2 ROC function. Performance on the orientation judgement task did not predict task performance on the contrast judgement task (a). However, metacognitive accuracy was strongly correlated between tasks (b), suggesting that it is both independent of task performance and stable within individuals. Reproduced with permission from Song et al. [70].](/paper-figures/1553ce11012c4fff806c95c4a8f5c0db/the-neural-basis-of-metacognitive-ability-figure-3.jpg)
![Figure 4. Convergent evidence for a role of rostrolateral PFC in metacognitive accuracy. (a) Across individuals, grey matter volume in rlPFC was found to positively correlate (hot colours) with metacognitive accuracy (type 2 ROC area) after controlling for differences in task performance [21]. (b) In a complementary study, BOLD signal in right posterior-lateral BA10 was positively correlated with metacognitive accuracy (gamma) but not differences in task performance [96]. (c) The necessity of lateral PFC for metacognitive accuracy was confirmed by combining TMS with SDT: following repetitive TMS to bilateral dlPFC, subjects exhibited reduced meta-d′ (the type 2 d′ expected from a given level of type 1 sensitivity) despite intact task performance [20]. Panels reproduced with permission from [21,96,20].](/paper-figures/c10a770254a843a6b56f3fe4e3e2b0c5/the-neural-basis-of-metacognitive-ability-figure-4.jpg)
Verification
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 cited source says what the claim attributes to it.
In the citing paper
“Weil et al. (2013) showed that metacognitive efficiency increases during adolescence, consistent with the maturation of prefrontal regions thought to underpin metacognition (Fleming and Dolan, 2012).”
From How to measure metacognition (2014) · cites this paper as Fleming and Dolan, 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
Telling more than we can know: Verbal reports on mental processes.
Nisbett, R. E., & Wilson, T. D. (1977) · Psychological Review · doi:10.1037/0033-295x.84.3.231 · Cited by 11,317 · cited 1×
“inaccurate [2, 3].”
Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry
Flavell, J. H. (1979) · American Psychologist · doi:10.1037/0003-066x.34.10.906 · Cited by 11,282 · cited 1×
“By focussing on self-reports about memory performance—metacognitive reports—Flavell provided a systematic framework for the study of self-knowledge in healthy individuals [13].”
Background(1966) · Medical Entomology and Zoology · Cited by 10,293
Signal detection theory and psychophysics
Ingleby, D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,616
Kruger, J., & Dunning, D. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.77.6.1121 · Cited by 7,731 · cited 1×
“Despite being dissociable, it turns out that metacognitive accuracy generally scales with task performance [33, 77–80].”
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
Detection Theory: A User's Guide
Macmillan, N. A., & Creelman, C. D. (1991) · Cited by 5,415
Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition
Evans, J. S. B. T. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093629 · Cited by 5,137 · cited 1×
“other low-level, based on non-verbal epistemic feelings of uncertainty [125, 126].”
BackgroundA theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578 · cited 1×
“Indeed, several recent models of local and large-scale brain function rely on hierarchy as a principal organising factor [9, 10].”
Background
Research works printed but not linked: 3
- Shimamura A. P., 2008, Handbook of memory and metamemory: essays in honor of Thomas O. Nelson, 373
- Schwartz B., 2008, Handbook of memory and metamemory: essays in honor of Thomas O. Nelson, 355
- Lau H., 2010, Frontiers of consciousness: Chichele lectures
Cited by
Sorted by citations
Neural correlates of consciousness: progress and problems
Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.22 · Cited by 1,600
Fleming, S. M., & Lau, H. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00443 · Cited by 1,408
Self-citationFox, K. C. R., Nijeboer, S., Dixon, M. L., Floman, J. L., Ellamil, M., Rumak, S. P., Sedlmeier, P., & Christoff, K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.03.016 · Cited by 804
The neural correlates of dreaming
Siclari, F., Baird, B., Perogamvros, L., Bernardi, G., LaRocque, J. J., Riedner, B., Boly, M., Postle, B. R., & Tononi, G. (2017) · Nature Neuroscience · doi:10.1038/nn.4545 · Cited by 758
Lutz, A., Jha, A. P., Dunne, J. D., & Saron, C. D. (2015) · American Psychologist · doi:10.1037/a0039585 · Cited by 697
“As noted above, this capacity to detect the “background” or lived subjective context of one’s object-focused experience contrasts with an “inward turn” of attention, often characterized as “introspection,” or retrospective second-order judgment (Fleming & Dolan, 2012; Overgaard & Sandberg, 2012).”
BackgroundFox, K. C. R., Dixon, M. L., Nijeboer, S., Girn, M., Floman, J. L., Lifshitz, M., Ellamil, M., Sedlmeier, P., & Christoff, K. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.021 · Cited by 656
Confidence 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
Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation
Fleming, S. M., & Daw, N. D. (2017) · Psychological Review · doi:10.1037/rev0000045 · Cited by 584
“…framework, these findings may be consistent with prefrontal involvement in representing a confidence variable and/or hyperparameters about sources of decision uncertainty (Lau, 2008), and/or in representing the output of a confidence computation for subsequent report (Fleming & Dolan, 2012).”
BackgroundResultInfluentialSelf-citationExecutive function and metacognition: Towards a unifying framework of cognitive self-regulation
Roebers, C. M. (2017) · Developmental Review · doi:10.1016/j.dr.2017.04.001 · Cited by 592
“The anterior and dorsolateral PFC, by contrast, seem aligned to retrospective monitoring judgments, that is, to confidence judgments (Fleming & Dolan, 2012).”
BackgroundAllostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression
Stephan, K. E., Manjaly, Z. M., Mathys, C. D., Weber, L. A. E., Paliwal, S., Gard, T., Tittgemeyer, M., Fleming, S. M., Haker, H., Seth, A. K., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00550 · Cited by 437
“For other domains of cognition, such as exteroception or memory, the anterior prefrontal cortex (roughly corresponding to Brodmann’s area 10) has been identified as a key area for metacognition by several neuroimaging and lesion studies (for review, see Fleming and Dolan, 2012).”
BackgroundSelf-citationDevelopment of the social brain in adolescence
Blakemore, S. (2012) · Journal of the Royal Society of Medicine · doi:10.1258/jrsm.2011.110221 · Cited by 527
The development of metacognitive ability in adolescence
Weil, L. G., Fleming, S. M., Dumontheil, I., Kilford, E. J., Weil, R. S., Rees, G., Dolan, R. J., & Blakemore, S.-J. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2013.01.004 · Cited by 429
“…implicit system of conflict and error monitoring supported by the posterior medial prefrontal cortex (PFC) (e.g. Ridderinkhof, van den Wildenberg, Segalowitz, & Carter, 2004), rather than the explicit monitoring and control associated with metacognition (see Fleming and Dolan (2012) for a review).”
BackgroundSelf-citationA neurocognitive approach to understanding the neurobiology of addiction
Noël, X., Brevers, D., & Bechara, A. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.01.018 · Cited by 466
“agency in healthy participants [66] and in addicts [26 ].”
BackgroundPrefrontal 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
“Neuropsychological cases reveal dissociations between these levels (for review, see Fleming and Dolan, 2012), raising the question as to the neural mechanisms underlying metacognition in healthy individuals.”
BackgroundSelf-citationThe role of metacognition in human social interactions
Frith, C. D. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0123 · Cited by 407
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
“Our view could therefore seem closer to ''hierarchical models'' (Fleming and Dolan, 2012; Fleming et al., 2012; Timmermans et al., 2012).”
Baird, B., Smallwood, J., Gorgolewski, K. J., & Margulies, D. S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0786-13.2013 · Cited by 315
“Metacog- nitive evaluations of perceptual discriminations may be best conceived of as an online monitor that integrates information over short time scales (Fleming and Dolan, 2012).”
BackgroundResultInfluentialMetacognition: computation, biology and function
Fleming, S. M., Dolan, R. J., & Frith, C. D. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0021 · Cited by 344
“Often, researchers restrict the definition of metacognition to the kind of second-order behaviour available for subjective report [6].”
BackgroundResultInfluentialSelf-citationDomain-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
“In addition, most studies of meta-memory have focused on prospective judgements of suc- cess which may draw on neural substrates distinct to those sup- porting retrospective confidence judgements (Fleming and Dolan, 2012).”
BackgroundInfluentialSelf-citationDumontheil, I. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.07.009 · Cited by 293
Anatomical coupling between distinct metacognitive systems for memory and visual perception
McCurdy, L. Y., Maniscalco, B., Metcalfe, J., Liu, K. Y., de Lange, F. P., & Lau, H. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1890-12.2013 · Cited by 299
“The aPFC is often associated with metacognition (Christoff et al., 2003; Ramnani and Owen, 2004; Fleming and Dolan, 2012; Fleming et al., 2012), and there is indirect evidence that the metacognitive mechanisms in the aPFC may be general for different visual tasks (Song et al., 2011).”
BackgroundBrain correlates of hypnosis: A systematic review and meta-analytic exploration
Landry, M., Lifshitz, M., & Raz, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.020 · Cited by 295
Neural 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
“Confidence generally correlates with task performance, and the strength of this correlation—measuring the accuracy of one's knowledge of the quality of one's decisions—is itself typically correlated with, although sometimes dissociable from, performance (Fleming & Dolan 2012).”
ResultAutomatic 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
Valk, S. L., Bernhardt, B. C., Trautwein, F.-M., Böckler, A., Kanske, P., Guizard, N., Collins, D. L., & Singer, T. (2017) · Science Advances · doi:10.1126/sciadv.1700489 · Cited by 264
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
“DOI: 10.7554/eLife.12192.001”
InfluentialMetacognition and Confidence: A Review and Synthesis
Fleming, S. M. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-022423-032425 · Cited by 256
“…tasks (Baird et al., 2013, McCurdy et al., 2013, Fleming et al., 2014, Ye et al., 2018), and that connectivity between prefrontal cortex and other brain areas is important for metacognitive capacity (Baird et al., 2013, 2015, De Martino et al., 2013, Fleming et al., 2012, Zheng et al., 2021).”
Self-citationPerceptual confidence neglects decision-incongruent evidence in the brain
Peters, M. A. K., Thesen, T., Ko, Y., Maniscalco, B., Carlson, C., Davidson, M., Doyle, W., Kuzniecky, R., Devinsky, O., Halgren, E., et al. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0139 · Cited by 265
Murphy, J., Catmur, C., & Bird, G. (2019) · Psychonomic Bulletin & Review · doi:10.3758/s13423-019-01632-7 · Cited by 250
Learning to modulate one’s own brain activity: The effect of spontaneous mental strategies
Kober, S. E., Witte, M., Ninaus, M., Neuper, C., & Wood, G. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00695 · Cited by 225
Müller, T., & Apps, M. A. J. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.04.030 · Cited by 265
“in the DLPFC during the performance of perceptual decision-making tasks requiring cognitive control (Fleming et al., 2010; Fleming and Dolan, 2012).”
BackgroundGarcía-Cordero, I., Sedeño, L., de la Fuente, L., Slachevsky, A., Forno, G., Klein, F., Lillo, P., Ferrari, J., Rodriguez, C., Bustin, J., et al. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0006 · Cited by 199
A Triadic Neurocognitive Approach to Addiction for Clinical Interventions
Noël, X., Brevers, D., & Bechara, A. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00179 · Cited by 210
“control on decision-making, memory as well as on the sense of agency in healthy participants (115) and in addicts (17).”
BackgroundThe Sense of Confidence during Probabilistic Learning: A Normative Account
Meyniel, F., Schlunegger, D., & Dehaene, S. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004305 · Cited by 163
“It is in fact an open issue whether the primary response and the confidence in this response arise in parallel or serially, and from a single brain circuit or not [11,40].”
BackgroundMeditation experience predicts introspective accuracy.
Fox, K. C. R., Zakarauskas, P., Dixon, M., Ellamil, M., Thompson, E., & Christoff, K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045370 · Cited by 190
“Finally, VM meditators show significantly thicker cortex [18] (and in Tibetan Buddhist practitioners, increased grey matter density [22]) in RLPFC/BA10, suggesting enhancement of a region strongly implicated in introspection [5,7,8,45].”
BackgroundIn the body's eye: the computational anatomy of interoceptive inference
Allen, M., Levy, A., Parr, T., & Friston, K. J. (2022) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1010490 · Cited by 185
“…lower-level visceral-motor brainstem nuclei and higher-order regions implicated in decision-making, metacognition, and self-awareness, such as the ventromedial and dorsomedial prefrontal cortices (Allen et al., 2017, 2016a; Fleming and Dolan, 2012; Menon and Uddin, 2010; Ullsperger et al., 2010).”
BackgroundMetacognition: ideas and insights from neuro- and educational sciences
Fleur, D. S., Bert Bredeweg, A., & van den Bos, W. (2021) · npj Science of Learning · doi:10.1038/s41539-021-00089-5 · Cited by 265
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
“…et al., 2013; Cortese, Amano, Koizumi, Kawato, & Lau, 2016; De Martino, Fleming, Garrett, & Dolan, 2013; Fleck, Daselaar, Dobbins, & Cabeza, 2006; Fleming et al., 2012; Hil-genstock, Weiss, & Witte, 2014; Yokoyama et al., 2010) neuroimaging data indicate that a frontoparietal network contributes…”
BackgroundSelf-citationDomain-general enhancements of metacognitive ability through adaptive training.
Carpenter, J., Sherman, M. T., Kievit, R. A., Seth, A. K., Lau, H., & Fleming, S. M. (2019) · Journal of Experimental Psychology: General · doi:10.1037/xge0000505 · Cited by 174
“…monitoring across a range of tasks (Fleming et al., 2010; McCurdy et al., 2013; Baird et al., 2013; Allen et al., 2016; Cortese et al., 2017; see Fleming & Dolan, 2012, for a review), suggesting the potential for targeted modulation of metacognition independently of changes in first-order…”
BackgroundInfluentialSelf-citationStrategic offloading of delayed intentions into the external environment
Gilbert, S. J. (2015) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2014.972963 · Cited by 164
“However, this region has also been implicated in generating metacognitive awareness of our own mental states (Baird, Smallwood, Gorgolewski, & Margulies, 2013; Fleming & Dolan, 2012; Fleming, Huijgen, & Dolan, 2012; Fleming, Weil, Nagy, Dolan, & Rees, 2010; McCurdy et al., 2013).”
BackgroundSchmalzl, L., Powers, C., & Henje Blom, E. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00235 · Cited by 170
Action-Specific Disruption of Perceptual Confidence
Fleming, S. M., Maniscalco, B., Ko, Y., Amendi, N., Ro, T., & Lau, H. C. (2014) · Psychological Science · doi:10.1177/0956797614557697 · Cited by 169
Self-citationThe Role of Eye Gaze During Natural Social Interactions in Typical and Autistic People
Cañigueral, R., & Hamilton, A. F. D. C. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00560 · Cited by 190
Knowing Ourselves Together: The Cultural Origins of Metacognition
Heyes, C., Bang, D., Shea, N., Frith, C. D., & Fleming, S. M. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.02.007 · Cited by 232
“The medial prefrontal cortex, a focal area for metacognition [100], is more strongly activated during self-assessment tasks in westerners than in people from less-individualistic cultures [101,102], and self-referential thoughts differentially activate hubs of the resting-state network in relation to individualistic v…”
BackgroundSelf-citationEffects of age on metacognitive efficiency
Palmer-Cooper, E. C., David, A. S., & Fleming, S. M. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.06.007 · Cited by 163
“Previous research has established that metacognitive efficiency in different domains can be isolated and studied independently of primary cognitive capacity (see Fleming & Dolan, 2012, for a review).”
BackgroundSelf-citationThe Role of Metacognitive Components in Creative Thinking
Jia, X., Li, W., & Cao, L. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02404 · Cited by 204
Canales-Johnson, A., Silva, C., Huepe, D., Rivera-Rei, Á., Noreika, V., Garcia, M. D. C., Silva, W., Ciraolo, C., Vaucheret, E., Sedeño, L., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv076 · Cited by 146
“For commercial re-use, please contact journals.permissions@oup.com Key words: heartbeat-evoked potential, interoception, learning, metacognitive awareness, phase synchrony”
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
Measures of metacognition on signal-detection theoretic models
Barrett, A. B., Dienes, Z., & Seth, A. K. (2013) · Psychological Methods · doi:10.1037/a0033268 · Cited by 155
“One useful avenue to integrating consciousness theories with SDT will be to identify the extent to which separable brain networks subserve type I and type II discriminations (Fleming, Weil, Nagy, Dolan, & Rees, 2010; Fleming & Dolan, 2012).”
BackgroundMetacognitive Failure as a Feature of Those Holding Radical Beliefs
Rollwage, M., Dolan, R. J., & Fleming, S. M. (2018) · Current Biology · doi:10.1016/j.cub.2018.10.053 · Cited by 193
“This ability relies on specific neural circuitry in the prefrontal cortex [12] that promotes reflection on one’s performance and, even in the absence of explicit feedback, a realization that mistakes have been made [13, 14].”
BackgroundSelf-citationComparing Bayesian and non-Bayesian accounts of human confidence reports
Adler, W. T., & Ma, W. J. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006572 · Cited by 118
The neuroscience of meditation: classification, phenomenology, correlates, and mechanisms
Brandmeyer, T., Arnaud Delorme, A., & Wahbeh, H. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2018.10.020 · Cited by 164
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
How to Interpret Resting-State fMRI: Ask Your Participants
González-Castillo, J., Kam, J. W. Y., Hoy, C. W., & Bandettini, P. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1786-20.2020 · Cited by 153
“Combining measurements of subjective experience and neural activity has also driven advances in research on meta-cognition (Fleming and Dolan, 2012), placebo effects (Vase et al.”
BackgroundDistinguishing the Roles of Dorsolateral and Anterior PFC in Visual Metacognition
Shekhar, M., & Rahnev, D. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.3484-17.2018 · Cited by 154
“Indeed, assessing the confidence in one′s own perceptual decisions requires the integration of both perceptual and non-perceptual factors (Fleming & Dolan, 2012).”
BackgroundResultInfluentialConfidence controls perceptual evidence accumulation
Balsdon, T., Wyart, V., & Mamassian, P. (2020) · Nature Communications · doi:10.1038/s41467-020-15561-w · Cited by 137
Domain-specific enhancement of metacognitive ability following meditation training.
Baird, B., Mrazek, M. D., Phillips, D. T., & Schooler, J. W. (2014) · Journal of Experimental Psychology General · doi:10.1037/a0036882 · Cited by 144
“Metacognitive ability in the perceptual domain is linked to activation and connectivity of the anterior cingulate cortex (ACC; Baird et al., 2013; Fleming & Dolan, 2012; Fleming et al., 2012), and the ACC is active during meditation practice (Hölzel et al., 2007); in addition, meditation experience…”
BackgroundGrimaldi, P., Lau, H. C., & Basso, M. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.04.006 · Cited by 138
“In this context, metacognition is often described as either prospective or retrospective (Fleming and Dolan, 2012).”
BackgroundConsciousness: The last 50 years (and the next)
Seth, A. K. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818816019 · Cited by 125
“At the same time, advances in analysis methods like signal detection theory (Green and Swets, 1966) are enabling researchers to draw more rigorous distinctions between objective and subjective aspects of perception, as well as to quantify individual differences in metacognition (cognition about cognition) that may be…”
BackgroundThe 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
“These observations indicate that there should exist a 55 separate neural system (meta-level) to monitor the decision process (object-level) (Flavell, 1979; 56 Nelson and Narens, 1990; Dunlosky and Metcalfe, 2009; Fleming and Dolan, 2012).”
BackgroundInfluentialHebscher, M., & Gilboa, A. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.05.003 · Cited by 130
Interventions for subjective cognitive decline: systematic review and meta-analysis
Bhome, R., Berry, A. J., Huntley, J. D., & Howard, R. J. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-021610 · Cited by 123
“Metacognition, an individual’s insight into their own cognitive functioning, 20 may be of relevance as a therapeutic target because, by definition, SCD involves an individual’s underestimation of their cognitive ability relative to objective testing.”
BackgroundConfidence modulates exploration and exploitation in value-based learning
Boldt, A., Blundell, C., & Martino, B. D. (2019) · Neuroscience of Consciousness · doi:10.1093/nc/niz004 · Cited by 120
Behavioral and Neural Indices of Metacognitive Sensitivity in Preverbal Infants
Goupil, L., & Kouider, S. (2016) · Current Biology · doi:10.1016/j.cub.2016.09.004 · Cited by 116
“Indeed, the neural computations underlying this second metacognitive process are well documented in adults [1, 18].”
BackgroundNeural correlates of metacognitive ability and of feeling confident: a large-scale fMRI study
Molenberghs, P., Trautwein, F., Böckler, A., Singer, T., & Kanske, P. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw093 · Cited by 111
“Previous studies have found that metacognitive accuracy can be distinguished from task performance and varies widely across individuals (for a review see Fleming and Dolan, 2012).”
BackgroundThe geometry of domain-general performance monitoring in the human medial frontal cortex
Fu, Z., Beam, D. E., Chung, J. M., Reed, C. M., Mamelak, A. N., Adolphs, R., & Rutishauser, U. (2022) · Science · doi:10.1126/science.abm9922 · Cited by 110
“Both conflict signals arise independent of external feedback, thus qualifying as correlates 561 of metacognitive self-monitoring (63, 64).”
BackgroundBehavior- and Modality-General Representation of Confidence in Orbitofrontal Cortex
Masset, P., Ott, T., Lak, A., Hirokawa, J., & Kepecs, A. (2020) · Cell · doi:10.1016/j.cell.2020.05.022 · Cited by 109
“Previous studies in human and non-human animals have identified representations of confidence that fulfill a subset of these criteria (Fleming and Dolan, 2014; Hanks and Summerfield, 2017; Ott et al., 2019; Shadlen and Kiani, 2013).”
BackgroundSiedlecka, M., Paulewicz, B., & Wierzchoń, M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00218 · Cited by 109
“Metacognitive Judgments Are Less Accurate Given Prospectively than Retrospectively Marta Siedlecka 1, Borysław Paulewicz 2 and Michał Wierzchoń 1* 1Consciousness Lab, Institute of Psychology, Jagiellonian University, Krakow, Poland, 2University of Social Sciences and Humanities, Katowice, Poland Prospective and retro…”
BackgroundInfluentialPerceptual reality monitoring: Neural mechanisms dissociating imagination from reality
Dijkstra, N., Kok, P., & Fleming, S. M. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104557 · Cited by 116
Self-citationIdentifying Transdiagnostic Mechanisms in Mental Health Using Computational Factor Modeling
Wise, T., Robinson, O. J., & Gillan, C. M. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.09.034 · Cited by 108
“Metacognition involves the lateral prefrontal cortex and dorsal anterior cingulate cortex (141,142), suggesting that these areas may be relevant for anxious-depression and compulsivity (36).”
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
“…scale positively with decision accuracy and negatively with response time (Vickers and Packer, 1982; Baranski and Petrusic, 1998) (though this relationship is not perfect, and is subject to individual differences, e.g., (Baranski and Petrusic, 1994; Fleming et al., 2010; Fleming and Dolan, 2012).”
BackgroundYoung Children Bet on Their Numerical Skills
Vo, V. A., Li, R., Kornell, N., Pouget, A., & Cantlon, J. F. (2014) · Psychological Science · doi:10.1177/0956797614538458 · Cited by 106
Fleming, S. M., Massoni, S., Gajdos, T., & Vergnaud, J. (2016) · Neuroscience of Consciousness · doi:10.1093/nc/niw018 · Cited by 119
“Metacognitive capacity – the extent to which judgments track performance – is dissociable from first-order task performance and associated with distinct neural substrates (see Fleming and Dolan 2012; Pannu and Kaszniak 2005, for reviews).”
BackgroundSelf-citationSubjective confidence reflects representation of Bayesian probability in cortex
Geurts, L. S., Cooke, J. R. H., van Bergen, R. S., & Jehee, J. F. M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-021-01247-w · Cited by 104
Integrating the Constructs of Anosognosia and Metacognition: a Review of Recent Findings in Dementia
Sunderaraman, P., & Cosentino, S. (2017) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-017-0734-1 · Cited by 100
Samaha, J., Barrett, J. J., Sheldon, A. D., LaRocque, J. J., & Postle, B. R. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00851 · Cited by 105
“This is perhaps surprising given that similar frontal structures are associated with cognitive control, WM, and metacognitive awareness (Naghavi and Nyberg, 2005; Cul et al., 2009; Persaud et al., 2011; Bor and Seth, 2012; Fleming and Dolan, 2012; Miller and Buschman, 2013; Ester et al., 2015).”
BackgroundDoes perceptual confidence facilitate cognitive control?
Koizumi, A., Maniscalco, B., & Lau, H. C. (2015) · Attention Perception & Psychophysics · doi:10.3758/s13414-015-0843-3 · Cited by 97
“Incidentally, when perceptual capacity (d') is controlled for, both subjective confidence and awareness seem to depend on prefrontal activity (Fleming & Dolan, 2012; Lau & Passingham, 2006).”
BackgroundRelating Pupil Dilation and Metacognitive Confidence during Auditory Decision-Making
Lempert, K. M., Chen, Y. L., & Fleming, S. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126588 · Cited by 94
“People vary in their ability to construct these metacognitive estimates [4].”
BackgroundSelf-citationIntroduction to Motivational Neuroscience
Kim, S., Reeve, J., & Bong, M. (2016) · Advances in motivation and achievement · doi:10.1108/s0749-742320160000019022 · Cited by 96
Developing a Reflective Mind: From Core Metacognition to Explicit Self-Reflection
Goupil, L., & Kouider, S. (2019) · Current Directions in Psychological Science · doi:10.1177/0963721419848672 · Cited by 93
Meiron, O., & Michal Lavidor, B. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.06.013 · Cited by 90
Piercing of Consciousness as a Threshold-Crossing Operation
Kang, Y. H., Petzschner, F. H., Wolpert, D. M., & Shadlen, M. N. (2017) · Current Biology · doi:10.1016/j.cub.2017.06.047 · Cited by 90
“, appearance of some pattern in the dots) or working memory of the experience of deliberating [53], what is sometimes referred to as metacognition [54].”
Higher order thoughts in action: consciousness as an unconscious re-description process
Timmermans, B., Schilbach, L., Pasquali, A., & Axel Cleeremans, B. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0421 · Cited by 91
Confidence in consciousness research
Michel, M. (2022) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1628 · Cited by 91
Fandakova, Y., Selmeczy, D., Leckey, S., Grimm, K. J., Wendelken, C., Bunge, S. A., & Ghetti, S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1703079114 · Cited by 89
“The anterior insula and cingulate are engaged in performance and error monitoring processes, and provide inputs for the monitoring and control of cognitive processing by frontal and parietal regions (13, 29).”
BackgroundThe right insula contributes to memory awareness in cognitively diverse older adults
Cosentino, S., Brickman, A., Griffith, E. Y., Habeck, C., Cines, S., Farrell, M. T., Shaked, D., Huey, E., Briner, T. J., & Stern, Y. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.05.032 · Cited by 80
Rahrig, H., Vago, D. R., Passarelli, M., Auten, A., Lynn, N. A., & Brown, K. W. (2022) · Scientific Reports · doi:10.1038/s41598-022-15195-6 · Cited by 101
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
“Metacognition requires an accurate mapping between the accumulation of evidence determining perceptual accuracy and subjective confidence (Fetsch et al., 2015; Fleming and Dolan, 2012; Kiani and Shadlen, 2009), which is typically reported retrospectively (and thus depends on accurate and efficient memory).”
BackgroundFechner’s law in metacognition: A quantitative model of visual working memory confidence.
van den Berg, R., Yoo, A. H., & Ma, W. J. (2017) · Psychological Review · doi:10.1037/rev0000060 · Cited by 83
“Finally, metacognitive accuracy—defined as the correlation coefficient between the absolute estimation error and confidence rating (Fleming & Dolan, 2012) —produced by the fitted model is 0.453 0.018, which closely matches the empirical value of 0.464 0.020.”
BackgroundInfluentialDisease awareness in myotonic dystrophy type 1: an observational cross-sectional study
Baldanzi, S., Bevilacqua, F., Lorio, R., et al. (2016) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-016-0417-z · Cited by 84
“Based on literature evidences, we can hypothesize that anosognosia in DM1 patients is related to brain dysfunction [42].”
How peer influence shapes value computation in moral decision-making
Yu, H., Siegel, J. Z., Clithero, J. A., & Crockett, M. J. (2021) · Cognition · doi:10.1016/j.cognition.2021.104641 · Cited by 91
The Social Context Network Model in Psychiatric and Neurological Diseases
Báez, S., García, A. M., & Ibáñez, A. M. (2016) · Current topics in behavioral neurosciences · doi:10.1007/7854_2016_443 · Cited by 84
Noradrenaline blockade specifically enhances metacognitive performance
Hauser, T. U., Allen, M., Purg, N., Moutoussis, M., Rees, G., & Dolan, R. J. (2017) · eLife · doi:10.7554/elife.24901 · Cited by 87
Self-citationTwo sides of the same coin: Monetary incentives concurrently improve and bias confidence judgments
Lebreton, M. P., Langdon, S., Slieker, M. J., Nooitgedacht, J. S., Goudriaan, A. E., Denys, D. A. J. P., van Holst, R. J., & Luigjes, J. (2018) · Science Advances · doi:10.1126/sciadv.aaq0668 · Cited by 90
“Just like in this example, most decisions in everyday life are accompanied by a subjective feeling of confidence emerging from the constant monitoring of our own thoughts and actions by metacognitive processes (Fleming and Dolan, 2012; Yeung and Summerfield, 2012).”
BackgroundInfluentialVentromedial prefrontal damage reduces mind-wandering and biases its temporal focus
Bertossi, E., & Ciaramelli, E. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw099 · Cited by 82
“Indeed, anterior and medial regions of prefrontal cortex, damaged in our vmPFC patients, have previously been implicated in meta-awareness of one’s own mental contents (Gilbert et al., 2006; Fleming and Dolan, 2012).”
BackgroundMetacognitive impairments extend perceptual decision making weaknesses in compulsivity
Hauser, T. U., Allen, M., Bullmore, E. T., Goodyer, I. M., Fonagy, P., Jones, P. B., Fearon, P. R. M., Prabhu, G., Moutoussis, M., Clair, M. S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-06116-z · Cited by 89
Self-citationContextual influence on confidence judgments in human reinforcement learning
Lebreton, M. P., Bacily, K., Palminteri, S., & Engelmann, J. B. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006973 · Cited by 91
“It results from a meta-cognitive operation [19], which according to recent studies could be performed automatically even when confidence judgments are not explicitly required [20].”
BackgroundShort-term meditation modulates brain activity of insight evoked with solution cue
Ding, X., Tang, Y., Cao, C., Deng, Y., Wang, Y., Xin, X., & Posner, M. I. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu032 · Cited by 88
“However, the meditation experience heightens introspection (Fleming et al., 2012), because of the highly introspective nature of such practices: more objective assessment of a meditator’s own internal states and mental contents (Kabat-Zinn, 1994; Goenka, 2000; Lutz et al.”
BackgroundDisentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
Pereira, M., Faivre, N., Iturrate, I., Wirthlin, M., Serafini, L., Martin, S., Desvachez, A., Blanke, O., Van De Ville, D., & Millán, J. D. R. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1918335117 · Cited by 72
“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.”
BackgroundInfluentialMetacognitive evaluation in the avoidance of demand.
Dunn, T. L., Lutes, D. J. C., & Risko, E. F. (2016) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000236 · Cited by 83
Metadata
- Authors
- Fleming, S. M., & Dolan, R. J.
- Affiliations
- New York University (US)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Fleming, Stephen M.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2012-05-19
- Volume
- 367
- Issue
- 1594
- Pages
- 1338-1349
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC3318765
- OpenAlex
- W2155610381
- Semantic Scholar
- 6067b80d698ec3f84bd5329f7154f302e0cde788
- Cited by
- 747
- References
- 153
- Citations by year
- 2026: 71 · 2025: 69 · 2024: 65 · 2023: 52 · 2022: 49 · 2021: 64 · 2020: 66 · 2019: 57 · 2018: 49 · 2017: 55 · 2016: 46 · 2015: 30 · 2014: 39 · 2013: 22 · 2012: 9
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Wellcome Trust (091593, 078865/Z/05/Z)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- metacognition, metacognitive accuracy, lateral prefrontal cortex, medial prefrontal cortex, dorsolateral prefrontal cortex, anterior cingulate cortex, insula, interoception, cognitive control, memory, decision-making, individual differences
- MeSH terms
- Animals, Cognition, Decision Making, Humans, Memory, Neural Pathways, Prefrontal Cortex
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