The Specificity of Metacognition Questionnaire-30 Subdimensions: Findings From Connectome-Based Predictive Modeling

Abstract

Background: The maladaptive metacognition measured by the Metacognition Questionnaire-30 (MCQ-30) is often linked to a wide range of affective disorders. However, few studies have elucidated the neural underpinnings of different metacognition subdimensions. Additionally, the relationship between these functional neural bases and longitudinal changes in individual emotional distresses remains unclear. Methods: A total of 180 college students completed brain imaging and a battery of behavioral assessments. Employing the connectome-based predictive modeling (CPM), we delineated the functional connectivity (FC) network of each metacognition subdimension. Then, the mediation model was used to explore the relationships between FC networks, metacognition subdimensions, and emotional distresses. Results: Default mode network (DMN) was found to be the general network of three significant subdimensions. Specifically, the FC network of cognitive self-consciousness (CSC) was scattered and mainly relied on DMN and frontoparietal network; need to control thoughts (NC) was largely consisted of the correlates between DMN and ventral attention network (VAN); negative beliefs about uncontrollability and danger of worry (NEG) was primarily associated with DMN and its correlates with visual network. CSC, NC, and NEG could mediate the relationship between the corresponding FC network and emotional distresses. Additionally, the CSC related and NEG related FCs could effectively predict the change of anxiety positive affect (PA) and negative affect (NA). Conclusions: These findings demonstrated the common and distinct FC bases of maladaptive metacognition. The excessive FCs of CSC and NEG might be responsible for impaired self-check-related ability and further increase the risk of several affective disorders.