Neural synchrony in schizophrenia
Neural synchrony in schizophrenia
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DOI：
10.1093/schbul/sbn090
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发表时间：
2008-09-01
影响因子：
6.6
通讯作者：
Mathalon, Daniel H.
中科院分区：
文献类型：
--
作者：
Ford, Judith M.;Mathalon, Daniel H.
基础神经科学研究表明，神经集合在时间域中相互沟通，并依赖于神经活动的巧合来检测神经元组之间的相位关系。临床神经科学研究表明，不同大脑区域之间的沟通和协调失败可能是精神分裂症的一系列问题的原因，从精神病到认知功能障碍。这个主题问题提出：时间-频率分析的概述，用于临床神经科学家研究精神分裂症的神经振荡；精神分裂症与神经非同步的文献综述支持GABA和谷氨酸系统功能障碍导致精神分裂症患者神经同步功能障碍的数据；这是一个例子，说明不同频率的神经活动如何形成一个密码，当这个密码被打乱时，可以解释这种疾病的各种症状。这些论文阐明了转化神经科学的方法，将增加我们对精神分裂症的理解，并为开发新的治疗方法提供神经生物学终点。
Basic neuroscience research suggests that neural assemblies communicate with each other in the temporal domain and rely on the coincidence of neural activity to detect phasic relationships between groups of neurons. Clinical neuroscience research suggests that communication and coordination failures between different brain regions may account for a wide range of problems in schizophrenia, from psychosis to cognitive dysfunction. This theme issue presents: an overview of time-frequency analyses that are used by clinical neuroscientists studying neural oscillations in schizophrenia; a comprehensive review of the literature on schizophrenia and neural asynchrony; data supporting dysfunction of both the GABA and glutamate systems in contributing to neural synchrony dysfunction in schizophrenia; and an example of how neural activity oscillating at different frequencies can form a code, which when disrupted could account for various symptoms of the illness. These papers illustrate approaches to translational neuroscience that will increase our understanding of schizophrenia and provide neurobiological endpoints for developing novel treatments.