Integrative Brain Network and Salience Models of Psychopathology and Cognitive Dysfunction in Schizophrenia

IF 9.6 1区 医学 Q1 NEUROSCIENCES Biological Psychiatry Pub Date : 2023-07-15 DOI:10.1016/j.biopsych.2022.09.029
Vinod Menon , Lena Palaniyappan , Kaustubh Supekar
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引用次数: 14

Abstract

Brain network models of cognitive control are central to advancing our understanding of psychopathology and cognitive dysfunction in schizophrenia. This review examines the role of large-scale brain organization in schizophrenia, with a particular focus on a triple-network model of cognitive control and its role in aberrant salience processing. First, we provide an overview of the triple network involving the salience, frontoparietal, and default mode networks and highlight the central role of the insula-anchored salience network in the aberrant mapping of salient external and internal events in schizophrenia. We summarize the extensive evidence that has emerged from structural, neurochemical, and functional brain imaging studies for aberrancies in these networks and their dynamic temporal interactions in schizophrenia. Next, we consider the hypothesis that atypical striatal dopamine release results in misattribution of salience to irrelevant external stimuli and self-referential mental events. We propose an integrated triple-network salience-based model incorporating striatal dysfunction and sensitivity to perceptual and cognitive prediction errors in the insula node of the salience network and postulate that dysregulated dopamine modulation of salience network–centered processes contributes to the core clinical phenotype of schizophrenia. Thus, a powerful paradigm to characterize the neurobiology of schizophrenia emerges when we combine conceptual models of salience with large-scale cognitive control networks in a unified manner. We conclude by discussing potential therapeutic leads on restoring brain network dysfunction in schizophrenia.

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精神分裂症的精神病理和认知功能障碍的综合脑网络和显著性模型
认知控制的脑网络模型是推进我们对精神分裂症精神病理学和认知功能障碍理解的核心。这篇综述探讨了大规模大脑组织在精神分裂症中的作用,特别关注认知控制的三重网络模型及其在异常显著性处理中的作用。首先,我们概述了涉及显著性、额顶和默认模式网络的三重网络,并强调了脑岛锚定的显著性网络在精神分裂症显著外部和内部事件异常映射中的核心作用。我们总结了结构、神经化学和功能性脑成像研究中出现的大量证据,这些证据表明精神分裂症患者的这些网络及其动态时间相互作用存在异常。接下来,我们考虑了这样一种假设,即非典型的纹状体多巴胺释放会导致显著性被错误地归因于无关的外部刺激和自我指涉的心理事件。我们提出了一个基于三重网络显著性的综合模型,该模型结合了显著性网络脑岛节点的纹状体功能障碍和对感知和认知预测错误的敏感性,并假设以显著性网络为中心的过程的多巴胺调节失调有助于精神分裂症的核心临床表型。因此,当我们以统一的方式将显著性的概念模型与大规模认知控制网络相结合时,就出现了一种描述精神分裂症神经生物学的强大范式。最后,我们讨论了恢复精神分裂症脑网络功能障碍的潜在治疗线索。
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来源期刊
Biological Psychiatry
Biological Psychiatry 医学-精神病学
CiteScore
18.80
自引率
2.80%
发文量
1398
审稿时长
33 days
期刊介绍: Biological Psychiatry is an official journal of the Society of Biological Psychiatry and was established in 1969. It is the first journal in the Biological Psychiatry family, which also includes Biological Psychiatry: Cognitive Neuroscience and Neuroimaging and Biological Psychiatry: Global Open Science. The Society's main goal is to promote excellence in scientific research and education in the fields related to the nature, causes, mechanisms, and treatments of disorders pertaining to thought, emotion, and behavior. To fulfill this mission, Biological Psychiatry publishes peer-reviewed, rapid-publication articles that present new findings from original basic, translational, and clinical mechanistic research, ultimately advancing our understanding of psychiatric disorders and their treatment. The journal also encourages the submission of reviews and commentaries on current research and topics of interest.
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