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精神分裂症中功能和结构网络的异常同步。

Abnormal synchronization of functional and structural networks in schizophrenia.

机构信息

Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei, 230022, China.

出版信息

Brain Imaging Behav. 2020 Dec;14(6):2232-2241. doi: 10.1007/s11682-019-00175-8.

DOI:10.1007/s11682-019-00175-8
PMID:31376115
Abstract

Synchronization is believed to play an important role in information processing of the brain. Mounting evidence supports the hypothesis that schizophrenia is related to impaired neural synchrony. However, most previous studies characterize brain synchronization from the perspective of temporal coordination of distributed neural activity, rather than network properties. Our aim was to investigate the network synchronization alterations in schizophrenia using publically available data. Resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) were performed in 96 schizophrenia patients and 120 healthy controls. The whole-brain functional and structural networks were constructed and analyzed using graph theoretical approaches. Inter-group differences in network synchronization were investigated. Both the binary and weighted functional networks of schizophrenia patients exhibited decreased synchronizability (increased eigenratio) than those of healthy controls. With respect to the structural binary networks, schizophrenia patients showed a trend towards excessive synchronizability (decreased eigenratio). In addition, the excessive synchronizability of the structural binary networks was associated with more severe negative symptoms in schizophrenia patients. Our findings provide novel biological evidence that schizophrenia involves a disruption of neural synchrony from the perspective of network properties.

摘要

同步被认为在大脑的信息处理中起着重要作用。越来越多的证据支持这样一种假设,即精神分裂症与神经同步受损有关。然而,大多数先前的研究从分布式神经活动的时间协调的角度来描述大脑同步,而不是从网络属性的角度。我们的目的是使用公开可用的数据来研究精神分裂症中的网络同步改变。对 96 名精神分裂症患者和 120 名健康对照者进行了静息状态功能磁共振成像(fMRI)和弥散张量成像(DTI)。使用图论方法构建和分析全脑功能和结构网络。研究了网络同步的组间差异。与健康对照组相比,精神分裂症患者的二进制和加权功能网络的同步能力(特征比增加)降低。关于结构二进制网络,精神分裂症患者表现出过度同步能力(特征比降低)的趋势。此外,结构二进制网络的过度同步能力与精神分裂症患者更严重的阴性症状有关。我们的发现提供了新的生物学证据,表明精神分裂症从网络属性的角度涉及神经同步的破坏。

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