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精神分裂症患者元认知缺陷与临床症状相关的额顶控制网络和默认模式网络的破坏。

Disruptions of frontoparietal control network and default mode network linking the metacognitive deficits with clinical symptoms in schizophrenia.

机构信息

State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.

National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders and Beijing Anding Hospital, Capital Medical University, Beijing, China.

出版信息

Hum Brain Mapp. 2020 Apr 15;41(6):1445-1458. doi: 10.1002/hbm.24887. Epub 2019 Dec 2.

Abstract

The metacognitive deficit in awareness of one's own mental states is a core feature of schizophrenia (SZ). The previous studies suggested that the metacognitive deficit associates with clinical symptoms. However, the neural mechanisms underlying the relationship remain largely unknown. We here investigated the neural activities associated with the metacognitive deficit and the neural signatures associated with clinical symptoms in 38 patients with SZ using functional magnetic resonance imaging with a perceptual decision-making task accompanied with metacognition, in comparison to 38 age, gender, and education matched healthy control subjects. The metacognitive deficit in patients with SZ was associated with reduced regional activity in both the frontoparietal control network (FPCN) and the default mode network. Critically, the anticorrelational balance between the two disrupted networks was substantially altered during metacognition, and the extent of alteration positively scaled with negative symptoms. Conversely, decoupling between the two networks was impaired when metacognitive monitoring was not required, and the strength of excessive neural activity positively scaled with positive symptoms. Thus, disruptions of the FPCN and the default mode network underlie the metacognitive deficit, and alternations of network balance between the two networks correlate with clinical symptoms in SZ. These findings implicate that rebalancing these networks holds important clinical potential in developing more efficacious therapeutic treatments.

摘要

元认知缺陷是精神分裂症(SZ)的一个核心特征,即对自身心理状态的意识缺陷。之前的研究表明,元认知缺陷与临床症状有关。然而,其相关的神经机制在很大程度上仍是未知的。我们使用功能磁共振成像(fMRI),结合带有元认知的知觉决策任务,对 38 名 SZ 患者和 38 名年龄、性别和教育程度匹配的健康对照者进行了研究,以调查与元认知缺陷相关的神经活动以及与临床症状相关的神经特征。与健康对照组相比,SZ 患者的元认知缺陷与额顶控制网络(FPCN)和默认模式网络(DMN)的区域活动减少有关。关键的是,在元认知过程中,两个网络之间的反相关平衡发生了实质性的改变,改变的程度与阴性症状呈正相关。相反,当不需要元认知监测时,两个网络之间的解耦受到损害,过度神经活动的强度与阳性症状呈正相关。因此,FPCN 和 DMN 的破坏是元认知缺陷的基础,两个网络之间的网络平衡的改变与 SZ 的临床症状有关。这些发现表明,重新平衡这些网络在开发更有效的治疗方法方面具有重要的临床潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeec/7267896/fc21874a39c7/HBM-41-1445-g001.jpg

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