Queensland Brain Institute, The University of Queensland, Australia; Australian Research Council of Excellence for Integrative Brain Function, Australia; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region Copenhagen, University of Copenhagen, Denmark.
Queensland Brain Institute, The University of Queensland, Australia; Australian Research Council of Excellence for Integrative Brain Function, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Australia.
Schizophr Res. 2020 Aug;222:185-194. doi: 10.1016/j.schres.2020.05.061. Epub 2020 Jun 25.
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.
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.
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.
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.
精神分裂症患者生成精确的统计规律内部模型的能力受损。精神分裂症的预测编码理论表明,精神病症状可能是由于未能建立精确的信念或世界模型而导致的。该模型的精度可能因上下文而异。例如,在嘈杂的环境中,与在噪声较低的环境中建立的模型相比,模型的精度会降低。尽管这一观点很有说服力,但它尚未在精神分裂症中得到实证研究。
在这项研究中,62 名参与者参与了一个具有高和低精度的随机失配负波范式。我们纳入了患有精神分裂症谱系障碍的住院患者(N=20)、患有精神病但无精神病的住院患者(N=20)和健康对照者(N=22),三组的性别比例和年龄分布相似。我们采用贝叶斯映射和动态因果建模来研究听觉刺激的精度编码的潜在微电路。
我们发现了强有力的证据(超出概率 P>0.99),表明三组参与者以及所有参与者的精神病样体验连续体的精度编码相关的基础连通性存在差异。关键是,我们显示了两个住院患者组之间的半球间连接的变化,一些连接在精神病样体验的连续体上进一步对齐。
虽然我们的结果表明,无论诊断如何,与精神病样体验相关的后向连接改变具有连续性,但它们也表明,在半球间连接改变方面,精神分裂症谱系障碍组具有特异性。