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The motor hypothesis for self-monitoring: A new framework to understand and treat metacognitive failures

Project description

Supporting "thinking about thinking" in a vulnerable context

Metacognition is a "cognition about cognition," an "awareness of one’s awareness," a crucial mechanism of humans related to monitoring their own mental lives and building representations about themselves. In the case of neurological and psychiatric diseases, metacognitive failures have a significant impact on quality of life. The EU-funded MetAction project will shed new light on the cognitive process of metacognition, aiming to establish a new remediation method. By exploring the determining factors of metacognitive failures, namely the motor signals involved in action execution, MetAction will contribute to the relevant theoretical and clinical framework.

Objective

Humans can monitor their own mental lives and build representations that contain knowledge about themselves. This capacity to introspect and report one’s own mental states, or in other words “knowing how much one knows”, is termed metacognition. Although metacognition is crucial to behave adequately in a complex environment, metacognitive judgments are often suboptimal. Specifically for neurological and psychiatric diseases, metacognitive failures are highly prevalent, with severe consequences in terms of quality of life. This project proposes a new hypothesis to explain the determining factors of metacognitive failures: namely, that metacognition does not operate in a vacuum but relies on the monitoring of signals from the body, and more specifically, on motor signals involved during action execution. We suggest several experiments to test the motor hypothesis for self-monitoring, and propose a new remediation procedure to resolve metacognitive failures resulting from deficient action monitoring. We will start by assessing the contribution of motor signals to metacognition by identifying the behavioral and neural correlates for detecting self-committed vs. observed errors (WP1), and by using virtual reality and robotics to probe metacognition in a vacuum, operating in the complete absence of voluntary actions (WP2). Finally, we will use these results to develop and evaluate a method to train metacognition in healthy volunteers and individuals with schizophrenia in a bottom-up manner, using online feedback based on motor signals (WP3). This new metacognitive remediation procedure will be performed both in a clinical context and on mobile devices. The goal of this ambitious project is therefore twofold, theoretical in shedding new light on a cognitive process central to our most profound mental states, and clinical in establishing a new remediation method to tackle a major health and societal issue.

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ERC-STG - Starting Grant

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