Universität zu Köln

Cole, David M., Diaconescu, Andreea O., Pfeiffer, Ulrich J., Brodersen, Kay H., Mathys, Christoph D., Julkowski, Dominika, Ruhrmann, Stephan, Schilbach, Leonhard, Tittgemeyer, Marc ORCID: 0000-0001-5072-2149, Vogeley, Kai ORCID: 0000-0002-5891-5831 and Stephan, Klaas E. (2020). Atypical processing of uncertainty in individuals at risk for psychosis. NeuroImage-Clin., 26. OXFORD: ELSEVIER SCI LTD. ISSN 2213-1582

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Abstract

Current theories of psychosis highlight the role of abnormal learning signals, i.e., prediction errors (PEs) and uncertainty, in the formation of delusional beliefs. We employed computational analyses of behaviour and functional magnetic resonance imaging (fMRI) to examine whether such abnormalities are evident in clinical high risk (CHR) individuals. Non-medicated CHR individuals (n. = 13) and control participants (n. = 13) performed a probabilistic learning paradigm during fMRI data acquisition. We used a hierarchical Bayesian model to infer subject-specific computations from behaviour - with a focus on PEs and uncertainty (or its inverse, precision) at different levels, including environmental 'volatility' - and used these computational quantities for analyses of fMRI data. Computational modelling of CHR individuals' behaviour indicated volatility estimates converged to significantly higher levels than in controls. Model-based fMRI demonstrated increased activity in prefrontal and insular regions of CHR individuals in response to precision-weighted low-level outcome PEs, while activations of prefrontal, orbitofrontal and anterior insula cortex by higher-level PEs (that serve to update volatility estimates) were reduced. Additionally, prefrontal cortical activity in response to outcome PEs in CHR was negatively associated with clinical measures of global functioning. Our results suggest a multi-faceted learning abnormality in CHR individuals under conditions of environmental uncertainty, comprising higher levels of volatility estimates combined with reduced cortical activation, and abnormally high activations in prefrontal and insular areas by precision-weighted outcome PEs. This atypical representation of high- and low-level learning signals might reflect a predisposition to delusion formation.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Cole, David M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Diaconescu, Andreea O. UNSPECIFIED UNSPECIFIED UNSPECIFIED Pfeiffer, Ulrich J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Brodersen, Kay H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Mathys, Christoph D. UNSPECIFIED UNSPECIFIED UNSPECIFIED Julkowski, Dominika UNSPECIFIED UNSPECIFIED UNSPECIFIED Ruhrmann, Stephan UNSPECIFIED UNSPECIFIED UNSPECIFIED Schilbach, Leonhard UNSPECIFIED UNSPECIFIED UNSPECIFIED Tittgemeyer, Marc UNSPECIFIED orcid.org/0000-0001-5072-2149 UNSPECIFIED Vogeley, Kai UNSPECIFIED orcid.org/0000-0002-5891-5831 UNSPECIFIED Stephan, Klaas E. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-350868
DOI:	10.1016/j.nicl.2020.102239
Journal or Publication Title:	NeuroImage-Clin.
Volume:	26
Date:	2020
Publisher:	ELSEVIER SCI LTD
Place of Publication:	OXFORD
ISSN:	2213-1582
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language HIERARCHICAL PREDICTION ERRORS; INDEPENDENT COMPONENT ANALYSIS; MEDIAL PREFRONTAL CORTEX; ULTRA-HIGH-RISK; INTERRATER RELIABILITY; SYNAPTIC PLASTICITY; PRODROMAL SYNDROMES; ABERRANT SALIENCE; MENTAL STATE; SCHIZOPHRENIA Multiple languages Neuroimaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/35086