Aberrant connectivity in auditory precision encoding in schizophrenia spectrum disorder and across the continuum of psychotic-like experiences

SCHIZOPHRENIA RESEARCH

卷:222

Article

Larsen, Kit Melissa^1,2,3,4  Dzafic, Ilvana^1,2,5  Darke, Hayley⁵  Pertile, Holly^6,7  Carter, Olivia⁵  Sundram, Suresh^6,7  Garrido, Marta, I^1,2,5,8 

[1] Univ Queensland, Queensland Brain Inst, St Lucia, Qld, Australia

[2] Australian Res Council Excellence Integrat Brain, Clayton, Vic, Australia

[3] Copenhagen Univ Hosp Hvidovre, Danish Res Ctr Magnet Resonance, Ctr Funct & Diagnost Imaging & Res, Hvidovre, Denmark

[4] Univ Copenhagen, Child & Adolescent Mental Hlth Ctr, Mental Hlth Serv Capital Reg Copenhagen, Copenhagen, Denmark

[5] Univ Melbourne, Melbourne Sch Psychol Sci, Melbourne, Vic, Australia

[6] Monash Univ, Sch Clin Sci, Dept Psychiat, Clayton, Vic, Australia

[7] Monash Hlth, Monash Med Ctr, Clayton, Vic, Australia

[8] Univ Queensland, Ctr Adv Imaging, St Lucia, Qld, Australia

关键词: Posterior probability maps;    Dynamic causal modelling;    MMN;    Schizophrenia;    EEG;    Schizotypy;    Psychosis;   

DOI  :  10.1016/j.schres.2020.05.061

来源: Elsevier

【 摘 要 】

Background: The ability to generate a precise internal model of statistical regularities is impaired in schizophrenia. Predictive coding accounts of schizophrenia suggest that psychotic symptoms may be explained by a failure to build precise beliefs or a model of the world. The precision of this model may vary with context. For example, in a noisy environment the model will be more imprecise compared to a model built in an environment with lower noise. However compelling, this idea has not yet been empirically studied in schizophrenia. Methods: In this study, 62 participants engaged in a stochastic mismatch negativity paradigm with high and low precision. We included inpatients with a schizophrenia spectrum disorder (N = 20), inpatients with a psychiatric disorder but without psychosis (N = 20), and healthy controls (N = 22), with comparable sex ratio and age distribution. Bayesian mapping and dynamic causal modelling were employed to investigate the underlying microcircuitry of precision encoding of auditory stimuli. Results: We found strong evidence (exceedance P > 0.99) for differences in the underlying connectivity associated with precision encoding between the three groups as well as on the continuum of psychotic-like experiences assessed across all participants. Critically, we show changes in interhemispheric connectivity between the two inpatient groups, with some connections further aligning on the continuum of psychotic-like experiences. Conclusions: While our results suggest continuity in backward connectivity alterations with psychotic-like experiences regardless of diagnosis, they also point to specificity for the schizophrenia spectrum disorder group in interhemispheric connectivity alterations. (c) 2020 Elsevier B.V. All rights reserved.

【 授权许可】

Free