Computational Phenotyping of Aberrant Belief Updating in Individuals With Schizotypal Traits and Schizophrenia

These findings suggest that individuals with schizotypal traits across the psychosis continuum are less likely to learn or use higher-order statistical regularities of the environment and showcase the potential of clinically relevant computational phenotypes for differentiating symptom groups in a transdiagnostic manner.

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Publication Details

Journal
Biological Psychiatry
Published
2024-08-30
DOI
https://doi.org/10.1016/j.biopsych.2024.08.021
Citations
13
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
4.46

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article

Computational Phenotyping of Aberrant Belief Updating in Individuals With Schizotypal Traits and Schizophrenia

Christoph D. Mathys, Nace Mikuš, Claus Lamm
13 citations
Biological Psychiatry
Functional Brain Connectivity Studies
4.46
article

Computational Phenotyping of Aberrant Belief Updating in Individuals With Schizotypal Traits and Schizophrenia

Christoph D. Mathys, Nace Mikuš, Claus Lamm
article en
13 citations

Abstract

These findings suggest that individuals with schizotypal traits across the psychosis continuum are less likely to learn or use higher-order statistical regularities of the environment and showcase the potential of clinically relevant computational phenotypes for differentiating symptom groups in a transdiagnostic manner.

Biological PsychiatryVol. 97(2)
University of Vienna (AT), Aarhus University (DK)
Aarhus Universitet, Vienna Science and Technology Fund, Aarhus Universitets Forskningsfond
Openalex Percentile: Top 5%
Functional Brain Connectivity Studies
4.46
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