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首页> 外文期刊>Biological psychiatry >Neuroimaging and treatment evidence for clinical staging in psychotic disorders: from the at-risk mental state to chronic schizophrenia.
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Neuroimaging and treatment evidence for clinical staging in psychotic disorders: from the at-risk mental state to chronic schizophrenia.

机译:神经影像学和治疗证据可用于精神疾病的临床分期:从处于危险状态的精神状态到慢性精神分裂症。

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摘要

A new approach to understanding severe mental disorders such as schizophrenia is to adopt a clinical staging model. Such a model defines the extent of the illness such that earlier and milder phenomena are distinguished from later, more impairing features. Specifically, a clinical staging model makes three key predictions. First, pathologic measures should be more abnormal in more severe stages. Second, patients who progress between the stages should show change in these same pathologic measures. Finally, treatment should be more effective in the earlier stages, as well as more benign. In this article, we review the evidence for these three predictions from studies of psychotic disorders, with a focus on neuroimaging data. For all three, the balance of evidence supports the predictions of the staging model. However, there are a number of alternative explanations for these findings, including the effects of medication and symptom heterogeneity.
机译:了解严重精神障碍(例如精神分裂症)的一种新方法是采用临床分期模型。这样的模型定义了疾病的程度,以便将较早和较轻的现象与较晚的,更严重的特征区分开。具体而言,临床分期模型会做出三个关键预测。首先,在更严重的阶段,病理学检查应更加异常。其次,在两个阶段之间进展的患者应在这些相同的病理学指标上显示出变化。最后,治疗应在早期阶段更有效,同时也应更加良性。在本文中,我们将对精神病性疾病研究中这三个预测的证据进行综述,重点是神经影像数据。对于这三个方面,证据的平衡都支持分期模型的预测。但是,对于这些发现,有许多替代解释,包括药物作用和症状异质性。

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