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功能性静息态网络在精神分裂症中受到不同程度的影响。

Functional resting-state networks are differentially affected in schizophrenia.

机构信息

Psychotic Disorders Program, Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, United States.

出版信息

Schizophr Res. 2011 Aug;130(1-3):86-93. doi: 10.1016/j.schres.2011.03.010. Epub 2011 Mar 31.

Abstract

Neurobiological theories posit that schizophrenia relates to disturbances in connectivity between brain regions. Resting-state functional magnetic resonance imaging is a powerful tool for examining functional connectivity and has revealed several canonical brain networks, including the default mode, dorsal attention, executive control, and salience networks. The purpose of this study was to examine changes in these networks in schizophrenia. 42 patients with schizophrenia and 61 healthy subjects completed a RS-fMRI scanning session. Seed-based region-of-interest correlation analysis was used to identify the default mode, dorsal attention, executive control, and salience networks. Compared to healthy subjects, individuals with schizophrenia demonstrated greater connectivity between the posterior cingulate cortex, a key hub of the default mode, and the left inferior gyrus, left middle frontal gyrus, and left middle temporal gyrus. Interestingly, these regions were more strongly connected to the executive control network in healthy control subjects. In contrast to the default mode, patients demonstrated less connectivity in the executive control and dorsal attention networks. No differences were observed in the salience network. The results indicate that resting-state networks are differentially affected in schizophrenia. The alterations are characterized by reduced segregation between the default mode and executive control networks in the prefrontal cortex and temporal lobe, and reduced connectivity in the dorsal attention and executive control networks. The changes suggest that the process of functional specialization is altered in schizophrenia. Further work is needed to determine if the alterations are related to disturbances in white matter connectivity, neurodevelopmental abnormalities, and genetic risk for schizophrenia.

摘要

神经生物学理论认为,精神分裂症与大脑区域之间的连接障碍有关。静息态功能磁共振成像(RS-fMRI)是研究功能连接的有力工具,已经揭示了几个经典的脑网络,包括默认模式网络、背侧注意网络、执行控制网络和突显网络。本研究旨在探讨精神分裂症患者这些网络的变化。42 名精神分裂症患者和 61 名健康对照者完成了 RS-fMRI 扫描。采用种子点相关分析方法识别默认模式网络、背侧注意网络、执行控制网络和突显网络。与健康对照组相比,精神分裂症患者后扣带回(默认模式网络的关键枢纽)与左侧下额回、左侧额中回和左侧颞中回之间的连接更强。有趣的是,这些区域与健康对照组的执行控制网络连接更强。与默认模式网络相反,患者在执行控制和背侧注意网络中的连接较弱。突显网络无差异。结果表明,静息态网络在精神分裂症中存在差异。改变的特点是前额叶和颞叶中默认模式和执行控制网络之间的分离减少,背侧注意和执行控制网络的连接减少。这些变化表明,精神分裂症患者的功能特化过程发生了改变。需要进一步研究以确定这些改变是否与白质连接障碍、神经发育异常和精神分裂症的遗传风险有关。

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