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Partially overlapping neural correlates of metacognitive monitoring and metacognitive control

元认知 心理学 认知 认知心理学 控制(管理) 任务(项目管理) 发展心理学
作者
Annika Boldt,Sam J Gilbert
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:: JN-21
标识
DOI:10.1523/jneurosci.1326-21.2022
摘要

Metacognition describes the process of monitoring one’s own mental states, often for the purpose of cognitive control. Previous research has investigated how metacognitive signals are generated (metacognitive monitoring), for example when people (both f/m) judge their confidence in their decisions and memories. Research has also investigated how metacognitive signals are used to influence behavior (metacognitive control), for example setting a reminder (i.e. cognitive offloading) for something you are not confident you will remember. However, the mapping between metacognitive monitoring and metacognitive control needs further study on a neural level. We used fMRI to investigate a delayed-intentions task with a reminder element, allowing human participants to use their metacognitive insight to engage metacognitive control. Using multivariate pattern analysis, we found that we could separately decode both monitoring and control, and, to a lesser extent, cross-classify between them. Therefore, brain patterns associated with monitoring and control are partially, but not fully, overlapping. SIGNIFICANCE STATEMENT: Models of metacognition commonly distinguish between monitoring (how metacognition is formed) and control (how metacognition is used for behavioural regulation). Research into these facets of metacognition has often happened in isolation. Here, we provide a study which directly investigates the mapping between metacognitive monitoring and metacognitive control at a neural level. We applied multivariate pattern analysis to fMRI data from a novel task in which participants separately rated their confidence (metacognitive monitoring) and how much they would like to use a reminder (metacognitive control). We find support for the notion that the two aspects of metacognition overlap partially but not fully. We argue that future research should focus on how different metacognitive signals are selected for control.

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