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精神分裂症中的连接断开、大规模网络和神经元动力学。

Dysconnectivity, large-scale networks and neuronal dynamics in schizophrenia.

机构信息

Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, UK.

出版信息

Curr Opin Neurobiol. 2013 Apr;23(2):283-90. doi: 10.1016/j.conb.2012.11.004. Epub 2012 Dec 7.

Abstract

Schizophrenia remains a daunting challenge for efforts aimed at identifying fundamental pathophysiological processes and to develop evidence-based effective treatments and interventions. One reason for the lack of progress lies in the fact that the pathophysiology of schizophrenia has been predominantly conceived in terms of circumscribed alterations in cellular and anatomical variables. In the current review, it is proposed that this approach needs to be complemented by a focus on the neuronal dynamics in large-scale networks which is compatible with the notion of dysconnectivity, highlighting the involvement of both reduced and increased interactions in extended cortical circuits in schizophrenia. Neural synchrony is one candidate mechanisms for achieving functional connectivity in large-scale networks and has been found to be impaired in schizophrenia. Importantly, alterations in the synchronization of neural oscillations can be related to dysfunctions in the excitation-inhibition (E/I)-balance and developmental modifications with important implications for translational research.

摘要

精神分裂症仍然是一个令人生畏的挑战,因为我们努力的目标是确定基本的病理生理过程,并开发基于证据的有效治疗和干预措施。缺乏进展的一个原因在于,精神分裂症的病理生理学主要被认为是细胞和解剖变量的局限性改变。在当前的综述中,有人提出,这种方法需要补充对与连通性障碍概念相兼容的大规模网络中神经元动力学的关注,突出了在精神分裂症中扩展的皮质回路中减少和增加相互作用的参与。神经同步是实现大规模网络功能连接的候选机制之一,并且已经在精神分裂症中发现存在障碍。重要的是,神经振荡同步的改变可以与兴奋抑制(E/I)平衡的功能障碍以及具有重要转化研究意义的发育性改变有关。

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