2016
DOI: 10.1523/jneurosci.1612-16.2016
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Sure I'm Sure: Prefrontal Oscillations Support Metacognitive Monitoring of Decision Making

Abstract: Successful decision making critically involves metacognitive processes such as monitoring and control of our decision process. Metacognition enables agents to modify ongoing behavior adaptively and determine what to do next in situations in which external feedback is not (immediately) available. Despite the importance of metacognition for many aspects of life, little is known about how our metacognitive system operates or about what kind of information is used for metacognitive (second-order) judgments. In par… Show more

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Cited by 52 publications
(43 citation statements)
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“…4. Test for relationships between fluctuations in metacognitive adequacy (a trial-by-trial measure of metacognitive sensitivity; Wokke et al, 2017), and the BOLD signal separately for detection and for discrimination, and for yes and no responses within detection.…”
Section: Discussionmentioning
confidence: 99%
“…4. Test for relationships between fluctuations in metacognitive adequacy (a trial-by-trial measure of metacognitive sensitivity; Wokke et al, 2017), and the BOLD signal separately for detection and for discrimination, and for yes and no responses within detection.…”
Section: Discussionmentioning
confidence: 99%
“…First, the Confidence > Decision contrast revealed a set of brain regions that has typically been found to be engaged in confidence computations (Fleming and Dolan, 2012;Cortese et al, 2016;Desender et al, 2016;Rahnev et al, 2016;Wokke et al, 2017;Bang and Fleming, 2018;Fleming et al, 2018;Morales et al, 2018;Shekhar and Rahnev, 2018). If the effects of early confidence computations were larger than the effect of late confidence computations, the Confidence > Decision contrast result would reveal a much smaller network of regions.…”
Section: Separating Perceptual Decision Making and Confidencementioning
confidence: 98%
“…These regions appeared in both experiments and were located in the prefrontal cortex (aPFC and dlPFC), the dorsal anterior cingulate cortex (dACC), and near the temporoparietal junction (TPJ and IPL). Many of these areas have been linked to confidence computations in previous studies (Fleming and Dolan, 2012;Cortese et al, 2016;Desender et al, 2016;Rahnev et al, 2016;Wokke et al, 2017;Bang and Fleming, 2018;Fleming et al, 2018;Morales et al, 2018;Shekhar and Rahnev, 2018) but it has remained unclear whether such activations are stronger than activations that may be caused by the perceptual decision itself.…”
Section: Brain Areas More Active In Confidence Judgmentsmentioning
confidence: 99%
“…In recent years, however, dissociations between objective task performance and subjective ratings, and dissociations between sources of information supporting firstand second-order decisions have been observed (Wierzchoń et al 2014;Fleming et al 2015;Berg et al 2016;Wokke et al 2017;Palser et al 2018). Typically, metacognitive decisions follow first-order responses, thereby allowing certain sources of information to become available during second-order decision-making.…”
Section: Introductionmentioning
confidence: 99%
“…Beta oscillations have repeatedly been shown to predict first-order decisions (Donner et al 2007;Donner et al 2009;Haegens et al 2011), to support maintenance of persistent activity (Siegel et al 2012;Engel et al 2010;Kloosterman et al 2015) to mediate long-range communication, and to play an important role in the preservation and 'awakening' of endogenous information (Spitzer and Haegens, 2017). Here, we focused on beta phase synchrony between motor regions and prefrontal cortex (Wokke et al 2017). Specifically, we expected both functional connectivity (beta phase synchrony) and metacognitive performance to increase when response information about first-order decisions would be accessible during metacognitive decision-making.…”
Section: Introductionmentioning
confidence: 99%