Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Am J Psychiatry. 2020 Dec 1;177(12):1151-1158. doi: 10.1176/appi.ajp.2020.19111176. Epub 2020 May 27.
Conceptualizations of delusion formation implicate deficits in feedforward information updating across the posterior to prefrontal cortices, resulting in dysfunctional integration of new information about contexts in working memory and, ultimately, failure to update overfamiliar prior beliefs. The authors used functional MRI and machine learning models to address individual variability in feedforward parietal-prefrontal information updating in patients with schizophrenia. They examined relationships between feedforward connectivity, and delusional thinking and polygenic risk for schizophrenia.
The authors studied 66 schizophrenia patients and 143 healthy control subjects during performance of context updating in working memory. Dynamic causal models of effective connectivity were focused on regions of the prefrontal and parietal cortex potentially implicated in delusion processes. The effect of polygenic risk for schizophrenia on connectivity was examined in healthy individuals. The authors then leveraged support vector regression models to define optimal normalized target connectivity tailored for each patient and tested the extent to which deviation from this target could predict individual variation in severity of delusions.
In schizophrenia patients, updating and manipulating context information was disproportionately less accurate than was working memory maintenance, with an interaction of task accuracy by diagnosis. Patients with delusions also tended to have relatively reduced parietal-prefrontal feedforward effective connectivity during context updating in working memory manipulation. The same connectivity was adversely influenced by polygenic risk for schizophrenia in healthy subjects. Individual patients' deviation from predicted "normal" feedforward connectivity based on the support vector regression models correlated with severity of delusions.
These computationally derived observations support a role for feedforward parietal-prefrontal information processing deficits in delusional psychopathology and in genetic risk for schizophrenia.
错觉形成的概念暗示了后顶叶到前额叶皮质的前馈信息更新存在缺陷,导致工作记忆中关于情境的新信息无法正常整合,最终无法更新过度熟悉的先验信念。作者使用功能磁共振成像和机器学习模型来解决精神分裂症患者前馈顶叶-前额叶信息更新的个体差异。他们研究了前馈连接与妄想思维以及精神分裂症多基因风险之间的关系。
作者在工作记忆中的情境更新任务中研究了 66 名精神分裂症患者和 143 名健康对照者。有效连通性的动态因果模型集中在前额叶和顶叶皮层的区域,这些区域可能与妄想过程有关。在健康个体中,作者研究了精神分裂症多基因风险对连通性的影响。然后,作者利用支持向量回归模型为每个患者定义了最佳的归一化目标连通性,并测试了偏离该目标的程度是否可以预测妄想严重程度的个体差异。
在精神分裂症患者中,更新和操纵情境信息的准确性明显低于工作记忆维持的准确性,且存在诊断的任务准确性交互作用。患有妄想症的患者在工作记忆操作中的情境更新期间也倾向于表现出相对减少的顶叶-前额叶前馈有效连通性。在健康受试者中,同样的连通性也受到精神分裂症多基因风险的不利影响。基于支持向量回归模型,患者个体从预测的“正常”前馈连通性的偏差与妄想的严重程度相关。
这些基于计算的观察结果支持前馈顶叶-前额叶信息处理缺陷在妄想精神病学和精神分裂症的遗传风险中的作用。