Distinguishing the Roles of Dorsolateral and Anterior PFC in Visual Metacognition
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Abstract
Visual metacognition depends on regions within the prefrontal cortex (PFC). Two areas in particular have been implicated repeatedly: the dorsolateral PFC (DLPFC) and the anterior PFC (aPFC). However, it is still unclear what the function of each of these areas is and how they differ from each other. To establish the specific roles of DLPFC and aPFC in metacognition, we used online transcranial magnetic stimulation (TMS) to interfere causally with their functioning during confidence generation. Human subjects from both sexes performed a perceptual decision making and provided confidence ratings. We found a clear dissociation between the two areas: DLPFC TMS lowered confidence ratings, whereas aPFC TMS increased metacognitive ability, but only for the second half of the experimental blocks. These results support a functional architecture in which DLPFC reads out the strength of the sensory evidence and relays it to aPFC, which makes the confidence judgment by potentially incorporating additional, nonperceptual information. Indeed, simulations from a model that incorporates these putative DLPFC and aPFC functions reproduced our behavioral results. These findings establish DLPFC and aPFC as distinct nodes in a metacognitive network and suggest specific contributions from each of these regions to confidence generation. SIGNIFICANCE STATEMENT The prefrontal cortex (PFC) is known to be critical for metacognition. Two of its subregions, the dorsolateral PFC (DLPFC) and the anterior PFC (aPFC), have been specifically implicated in confidence generation. However, it is unclear whether these regions have distinct functions related to the underlying metacognitive computation. Using a causal intervention with transcranial magnetic stimulation, we demonstrate that DLPFC and aPFC have dissociable contributions: targeting DLPFC decreased average confidence ratings, whereas targeting aPFC affected metacognitive scores specifically. Based on these results, we postulated specific functions for DLPFC and aPFC in metacognitive computation and corroborated them using a computational model that reproduced our results. Our causal results reveal the existence of a specialized modular organization in PFC for confidence generation.
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With some notable exceptions, the locus of action of the effects of metacognitive interventions remains poorly understood.
“However, with some notable exceptions (Shekhar & Rahnev 2018), the locus of action of these effects remains poorly understood.”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Shekhar & Rahnev 2018
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Cites
Fleming, S. M., & Lau, H. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00443 · Cited by 1,386 · cited 2× · see citing works
“The ratio of meta-d′ to d′ factors out the contribution of stimulus sensitivity towards metacognitive performance and captures the efficiency of the observer′s metacognitive processes (Fleming and Lau, 2014).”
BackgroundIs the rostro-caudal axis of the frontal lobe hierarchical?
Badre, D., & D'Esposito, M. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2667 · Cited by 946 · see citing works
Ridding, M. C., & Ziemann, U. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.190314 · Cited by 787 · 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 9× · see citing works
“Indeed, assessing the confidence in one′s own perceptual decisions requires the integration of both perceptual and non-perceptual factors (Fleming & Dolan, 2012).”
BackgroundResultInfluentialMetacognition and consciousness
Koriat, A. (2007) · The Cambridge Handbook of Consciousness · doi:10.1017/cbo9780511816789.012 · Cited by 554 · see citing works
Relative blindsight in normal observers and the neural correlate of visual consciousness
Lau, H. C., & Passingham, R. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607716103 · Cited by 518 · cited 5× · see citing works
“We derived this hypothesis from previous studies showing that DLPFC activity is related to the level of confidence but not to metacognitive ability (Henson et al., 2000; Fleck et al., 2006; Lau and Passingham, 2006).”
BackgroundMethodInfluentialThe role of the prefrontal cortex in dynamic filtering
Shimamura, A. P. (2000) · Psychobiology · doi:10.3758/bf03331979 · Cited by 394 · see citing works
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 · see citing works
Memory and metamemory: a study of the feeling-of-knowing phenomenon in amnesic patients
Shimamura, A. P., & Squire, L. R. (1986) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.12.3.452 · Cited by 294 · 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
Self-citationYokoyama, O., Miura, N., Watanabe, J., Takemoto, A., Uchida, S., Sugiura, M., Horie, K., Sato, S., Kawashima, R., & Nakamura, K. (2010) · Neuroscience Research · doi:10.1016/j.neures.2010.07.2041 · Cited by 105 · see citing works
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 · see citing works
A stochastic detection and retrieval model for the study of metacognition
Jang, Y., Wallsten, T. S., & Huber, D. E. (2012) · Psychological Review · doi:10.1037/a0025960 · Cited by 59 · see citing works
Flagged first, then by citations
Research works printed but not linked: 36
- Allen M, Frank D, Samuel Schwarzkopf DS, Fardo F, Winston JS, Hauser TU, Rees G (2016) Unexpected arousal modulates the influence of sensory noise on confidence. Elife 5:e18103. CrossRef Medline · DOI · Paper page
- Bang JW, Shekhar M, Rahnev D (2017) Sensory noise increases metacogni- tive efficiency. Available at: https://www.biorxiv.org/content/early/2017/ 09/15/189399. Accessed February 24, 2018.
- Bor D, Schwartzman DJ, Barrett AB, Seth AK (2017) Theta-burst transcranial mag- netic stimulation to the prefrontal or parietal cortex does not impair metacogni- tive visual awareness. PLoS One 12:e0171793. CrossRef Medline · DOI
- Borckardt JJ, Nahas Z, Koola J, George MS (2006) Estimating resting motor thresholds in transcranial magnetic stimulation research and practice. J ECT 22:169 -175. CrossRef Medline · DOI
- De Martino B, Fleming SM, Garrett N, Dolan RJ (2013) Confidence in value-based choice. Nat Neurosci 16:105-110. CrossRef Medline · DOI · Paper page
- Domenech P, Koechlin E (2015) Executive control and decision-making in the prefrontal cortex. Curr Opin Behav Sci 1:101-106. CrossRef · DOI
- Fleck MS, Daselaar SM, Dobbins IG, Cabeza R (2006) Role of prefrontal and ante- rior cingulate regions in decision-making processes shared by memory and non- memory tasks. Cereb Cortex 16:1623-1630. CrossRef Medline · DOI
- Fleming SM, Weil RS, Nagy Z, Dolan RJ, Rees G (2010) Relating introspec- tive accuracy to individual differences in brain structure. Science 329: 1541-1543. CrossRef Medline · DOI · Paper page
- Fleming SM, Dolan RJ, Frith CD (2012a) Metacognition: computation, bi- ology and function. Philos Trans R Soc Lond B Biol Sci 367:1280 -1286. CrossRef Medline · DOI · Paper page
- Fleming SM, Huijgen J, Dolan RJ (2012b) Prefrontal contributions to meta- cognition in perceptual decision making. J Neurosci 32:6117-6125. CrossRef Medline · DOI · Paper page
- Fleming SM, Ryu J, Golfinos JG, Blackmon KE (2014) Domain-specific im- pairment in metacognitive accuracy following anterior prefrontal lesions. Brain 137:2811-2822. CrossRef Medline · DOI
- Fleming SM, Maniscalco B, Ko Y, Amendi N, Ro T, Lau H (2015) Action- specific disruption of perceptual confidence. Psychol Sci 26:89 -98. CrossRef Medline · DOI
- Green DM, Swets JA (1966) Signal detection theory and psychophysics. New York, NY: John Wiley & Sons Ltd.
- Henson RN, Rugg MD, Shallice T, Dolan RJ (2000) Confidence in recogni- tion memory for words: dissociating right prefrontal roles in episodic retrieval. J Cogn Neurosci 12:913-923. CrossRef Medline · DOI
- Janowsky JS, Shimamura AP, Kritchevsky M, Squire LR (1989) Cognitive impairment following frontal lobe damage and its relevance to human amnesia. Behav Neurosci 103:548 -560. CrossRef Medline · DOI
- Kaas AL, van Mier H, Goebel R (2007) The neural correlates of human working memory for haptically explored object orientations. Cereb Cor- tex 17:1637-1649. CrossRef Medline · DOI
- Koechlin E, Basso G, Pietrini P, Panzer S, Grafman J (1999) The role of the anterior prefrontal cortex in human cognition. Nature 399:148 -151. CrossRef Medline · DOI
- Lara AH, Wallis JD (2015) The role of prefrontal cortex in working mem- ory: a mini review. Front Syst Neurosci 9:173. CrossRef Medline · DOI · Paper page
- Maniscalco B, Lau H (2012) A signal detection theoretic approach for esti- mating metacognitive sensitivity from confidence ratings. Conscious Cogn 21:422-430. CrossRef Medline · DOI · Paper page
- Maniscalco B, McCurdy LY, Odegaard B, Lau H (2017) Limited cognitive resources explain a trade-off between perceptual and metacognitive vigi- lance. J Neurosci 37:1213-1224. CrossRef Medline · DOI
- Metcalfe J, Shimamura AP (1994) Metacognition: knowing about knowing. Cambridge, MA: MIT.
- Morales J, Lau H, Fleming SM (2017) Domain-specific patterns of activity support metacognition in human prefrontal cortex. Available at: https:// www.biorxiv.org/content/early/2017/08/04/172445. Accessed October 14, 2017.
- Mueller ST, Weidemann CT (2008) Decision noise: An explanation for ob- served violations of signal detection theory. Psychon Bull Rev 15:465- 494. CrossRef Medline · DOI
- Nelson TO, Narens L (1990) Metamemory: a theoretical framework and some new findings. Psychol Learn Motiv 6:125-173. CrossRef · DOI · Paper page
- Parkin BL, Hellyer PJ, Leech R, Hampshire A (2015) Dynamic Network Mechanisms of Relational Integration. J Neurosci 35:7660 -7673. CrossRef Medline · DOI
- Rahnev D (2017) Top-down control of perceptual decision making by the pre- frontal cortex. Curr Dir Psychol Sci 26:464-469. CrossRef · DOI
- Rahnev D, Koizumi A, McCurdy LY, D'Esposito M, Lau H (2015) Confi- dence leak in perceptual decision making. Psychol Sci 26:1664 -1680. CrossRef Medline · DOI
- Ramnani N, Owen AM (2004) Anterior prefrontal cortex: insights into function from anatomy and neuroimaging. Nat Rev Neurosci 5:184 -194. CrossRef Medline · DOI · Paper page
- Rounis E, Maniscalco B, Rothwell JC, Passingham RE, Lau H (2010) Theta-burst transcranial magnetic stimulation to the prefrontal cortex impairs metacognitive visual awareness. Cogn Neurosci 1:165-175. CrossRef Medline · DOI · Paper page
- Ruby E, Maniscalco B, Peters MAK (2018) On a 'failed' attempt to manipulate visual metacognition with transcranial magnetic stimulation to prefrontal cortex. Conscious Cogn 62:34 -41. Available at: http://linkinghub.elsevier. com/retrieve/pii/S1053810017305226. Accessed May 5, 2018.
- Ryals AJ, Rogers LM, Gross EZ, Polnaszek KL, Voss JL (2016) Associative recognition memory awareness improved by theta-burst stimulation of frontopolar cortex. Cereb Cortex 26:1200 -1210. CrossRef Medline · DOI
- Semendeferi K, Armstrong E, Schleicher A, Zilles K, Van Hoesen GW (2001) Prefrontal cortex in humans and apes: A comparative study of area 10. Am J Phys Anthropol 114:224 -241. CrossRef Medline · DOI
- Shimamura AP (2000a) Toward a cognitive neuroscience of metacognition. Conscious Cogn 9:313-323; discussion 324 -326. CrossRef Medline · DOI
- Siegel M, Buschman TJ, Miller EK (2015) Cortical information flow during flexible sensorimotor decisions. Science 348:1352-1355. CrossRef Medline · DOI
- van den Berg R, Yoo AH, Ma WJ (2017) Fechner's law in metacognition: a quantitative model of visual working memory confidence. Psychol Rev 124:197-214. CrossRef Medline · DOI
- Yeung N, Summerfield C (2012) Metacognition in human decision-mak- ing: confidence and error monitoring. Philos Trans R Soc Lond B Biol Sci 367:1310 -1321. CrossRef Medline · DOI · Paper page
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- Authors
- Shekhar, M., & Rahnev, D.
- Affiliations
- Georgia Institute of Technology (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2018-05-02
- Volume
- 38
- Issue
- 22
- Pages
- 5078-5087
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6705938
- OpenAlex
- W2790434815
- Cited by
- 154
- References
- 13
- Citations by year
- 2026: 14 · 2025: 20 · 2024: 18 · 2023: 39 · 2022: 17 · 2021: 15 · 2020: 17 · 2019: 9 · 2018: 5
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- SMARTech Repository (Georgia Institute of Technology) (submittedVersion)
- Funders
- Georgia Institute of Technology
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- dorsolateral prefrontal cortex, anterior prefrontal cortex, perceptual decision making, transcranial magnetic stimulation, sensory evidence
- MeSH terms
- Adolescent, Adult, Algorithms, Brain Mapping, Cognition, Decision Making, Female, Humans, Magnetic Resonance Imaging, Male, Psychomotor Performance, Visual Perception, Prefrontal Cortex, Transcranial Magnetic Stimulation, Young Adult
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