| [1] |
Al-Maghrabi M., Mamede S., Schmidt H. G., Omair A., Al-Nasser S., & Magzoub M. E. M. A. (2024). Overconfidence, time-on-task, and medical errors: Is there a relationship? Advances in Medical Education and Practice, 15, 133-140. https://doi.org/10.2147/AMEP.S442689
doi: 10.2147/AMEP.S442689
URL
pmid: 38410282
|
| [2] |
Baird B., Smallwood J., Gorgolewski K. J., & Margulies D. S. (2013). Medial and lateral networks in anterior prefrontal cortex support meta-cognitive ability for memory and perception. Journal of Neuroscience, 33(42), 16657-16665. https://doi.org/10.1523/JNEUROSCI.0786-13.2013
|
| [3] |
Boldt A., & Gilbert S. J. (2022). Partially overlapping neural correlates of metacognitive monitoring and metacognitive control. Journal of Neuroscience, 42(17), 3622-3635. https://doi.org/10.1523/JNEUROSCI.1326-21.2022
doi: 10.1523/JNEUROSCI.1326-21.2022
URL
pmid: 35304428
|
| [4] |
Boldt A., & Yeung N. (2015). Shared neural markers of decision confidence and error detection. Journal of Neuroscience, 35(8), 3478-3484. https://doi.org/10.1523/JNEUROSCI.0797-14.2015
doi: 10.1523/JNEUROSCI.0797-14.2015
URL
pmid: 25716847
|
| [5] |
Brouillet D., Brouillet T., & Versace R. (2023). Motor fluency makes it possible to integrate the components of the trace in memory and facilitates its re-construction. Memory & Cognition, 51(2), 336-348. https://doi.org/10.3758/s13421-022-01350-x
|
| [6] |
Cardellicchio P., Dolfini E., Hilt P. M., Fadiga L., & D’Ausilio A. (2020). Motor cortical inhibition during concurrent action execution and action observation. NeuroImage, 208, 116445. https://doi.org/10.1016/j.neuroimage.2019.116445
|
| [7] |
Carter C. S., Braver T. S., Barch D. M., Botvinick M. M., Noll D., & Cohen J. D. (1998). Anterior cingulate cortex, error detection, and the online monitoring of performance. Science, 280(5364), 747-749. https://doi.org/10.1126/science.280.5364.747
doi: 10.1126/science.280.5364.747
URL
pmid: 9563953
|
| [8] |
Charles L., Chardin C., & Haggard P. (2020). Evidence for metacognitive bias in perception of voluntary action. Cognition, 194, 104041. https://doi.org/10.1016/j.cognition.2019.104041
|
| [9] |
Chye S., Valappil A. C., Wright D. J., Frank C., Shearer D. A., Tyler C. J., ... Bruton A. M. (2022). The effects of combined action observation and motor imagery on corticospinal excitability and movement outcomes: Two meta-analyses. Neuroscience and Biobehavioral Reviews, 143, 104911. https://doi.org/10.1016/j.neubiorev.2022.104911
|
| [10] |
Cook J. (2016). From movement kinematics to social cognition: The case of autism. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1693), 20150372. https://doi.org/10.1098/rstb.2015.0372
|
| [11] |
Desender K., Donner T. H., & Verguts T. (2021). Dynamic expressions of confidence within an evidence accumulation framework. Cognition, 207, 104522. https://doi.org/10.1016/j.cognition.2020.104522
|
| [12] |
Dhingra B., & Yadav M. (2024). An empirical analysis of overconfidence behaviour in the Indian ETF market. International Journal of Revenue Management, 14(1), 72-94. https://doi.org/10.1504/IJRM.2024.135964
|
| [13] |
Di Gregorio F., Trajkovic J., Roperti C., Marcantoni E., Di Luzio P., Avenanti A., ... Romei V. (2022). Tuning alpha rhythms to shape conscious visual perception. Current Biology, 32(5), 988-998. https://doi.org/10.1016/j.cub.2022.01.003
|
| [14] |
Di Luzio P., Tarasi L., Silvanto J., Avenanti A., & Romei V. (2022). Human perceptual and metacognitive decision- making rely on distinct brain networks. PLoS Biology, 20(8), e3001750. https://doi.org/10.1371/journal.pbio.3001750
|
| [15] |
Donner T. H., Siegel M., Fries P., & Engel A. K. (2009). Buildup of choice-predictive activity in human motor cortex during perceptual decision making. Current Biology, 19(18), 1581-1585. https://doi.org/10.1016/j.cub.2009.07.066
doi: 10.1016/j.cub.2009.07.066
URL
pmid: 19747828
|
| [16] |
Engel A. K., & Fries P. (2010). Beta-band oscillations — Signalling the status quo. Current Opinion in Neurobiology, 20(2), 156-165. https://doi.org/10.1016/j.conb.2010.02.015
|
| [17] |
Faivre N., Filevich E., Solovey G., Kühn S., & Blanke O. (2018). Behavioral, modeling, and electrophysiological evidence for supramodality in human metacognition. Journal of Neuroscience, 38(2), 263-277. https://doi.org/10.1523/JNEUROSCI.0322-17.2017
doi: 10.1523/JNEUROSCI.0322-17.2017
URL
pmid: 28916521
|
| [18] |
Faivre N., Vuillaume L., Bernasconi F., Salomon R., Blanke O., & Cleeremans A. (2020). Sensorimotor conflicts alter metacognitive and action monitoring. Cortex, 124, 224-234. https://doi.org/10.1016/j.cortex.2019.12.001
doi: S0010-9452(19)30401-0
URL
pmid: 31927241
|
| [19] |
Feuerriegel D., Murphy M., Konski A., Mepani V., Sun J., Hester R., & Bode S. (2022). Electrophysiological correlates of confidence differ across correct and erroneous perceptual decisions. NeuroImage, 259, 119447. https://doi.org/10.1016/j.neuroimage.2022.119447
|
| [20] |
Filevich E., Koß C., & Faivre N. (2020). Response-related signals increase confidence but not metacognitive performance. Eneuro, 7(3), 1-14. https://doi.org/10.1523/ENEURO.0326-19.2020
|
| [21] |
Fleming S. M. (2024). Metacognition and confidence: A review and synthesis. Annual Review of Psychology, 75, 241-268. https://doi.org/10.1146/annurev-psych-022423-032425
|
| [22] |
Fleming S. M., & Daw N. D. (2017). Self-evaluation of decision-making: A general bayesian framework for metacognitive computation. Psychological Review, 124(1), 91-114. https://doi.org/10.1037/rev0000045
doi: 10.1037/rev0000045
URL
pmid: 28004960
|
| [23] |
Fleming S. M., & Lau H. (2014). How to measure metacognition. Frontiers in Human Neuroscience, 8, 443. https://doi.org/10.3389/fnhum.2014.00443
doi: |