Research Topic

The Relationship between Cognitive Biases and Psychosis: Searching for Mechanisms

About this Research Topic

A wide variety of dysfunctions in information processing (i.e. cognitive biases) have been hypothesized within the cognitive model as an important risk factor for shaping the risk of psychosis and psychotic symptoms. Attributional biases, jumping to conclusions, belief inflexibility, cognitive schema or ...

A wide variety of dysfunctions in information processing (i.e. cognitive biases) have been hypothesized within the cognitive model as an important risk factor for shaping the risk of psychosis and psychotic symptoms. Attributional biases, jumping to conclusions, belief inflexibility, cognitive schema or meta-cognitive beliefs have been documented as cognitive correlates of psychotic symptoms. In particular, jumping to conclusions and attributional biases have been linked with delusions or delusion-like ideations, while source monitoring deficits have been linked to hallucinations. Despite growing evidence suggesting the role of different cognitive biases in psychosis, the mechanisms of the relationships remain poorly understood.

The problem that we would like to address in this particular Research Topic is the question of the mechanisms of the relationship between different cognitive biases and psychosis, including its risk states (e.g. ultra-high risk population or psychometric-risk). Broadly speaking, the aim of this Research Topic is to collect research studies and theoretical contributions specified around the issue of explaining how dysfunctional information processing (i.e. cognitive biases) that are related to the states of psychosis or the risk of psychosis are shaped, as well as exploring the question of how the presence of cognitive biases translates to the phenomenon of psychosis. To achieve these goals, we would welcome submissions focusing on explaining the mechanisms of cognitive biases in psychosis; as well as the mechanisms explaining the relationship between cognitive biases and psychosis. Studies on biological (e.g. genetics, neuronal correlates), as well as psycho-social mechanisms, are welcome. Longitudinal studies on the relationships between cognitive biases and psychosis and its risk states, as well as intervention studies on cognitive biases, may be an important contribution to a better understanding of causal mechanisms.

This Research Topic welcomes the following types of submissions: empirical studies addressing the mechanisms underlying cognitive biases related to psychosis, using various methodologies such as behavioral paradigms, neuroimaging or genetics. Research on gene x environment interaction and its role in cognitive biases as well as in the relationship between cognitive biases and psychosis are welcomed. These particular types of submissions are strongly encouraged:

• Empirical studies on mechanisms of the relationship between cognitive biases
• Intervention studies focusing on change in cognitive biases and change in psychotic symptoms or psychotic-like
experiences
• Meta-analytic studies focusing on potential mechanisms of cognitive biases in psychosis or mechanisms underlying the
relationships between cognitive biases and psychosis
• Theoretical contributions enriching our understanding of how different cognitive biases shape the risk of psychosis


Keywords: psychosis, at risk states, cognition, cognitive biases, mediation, meta-cognition


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

21 August 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

21 August 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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