Cellular and circuit models of increased resting-state network gamma activity in schizophrenia.
Cellular and circuit models of increased resting-state network gamma activity in schizophrenia.
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DOI：
10.1016/j.neuroscience.2015.11.011
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发表时间：
2016-05-03
期刊：
影响因子：
3.3
通讯作者：
Siegel SJ
中科院分区：
文献类型：
--
作者：
White RS;Siegel SJ
精神分裂症 (SCZ) 是一种以阳性症状（幻觉、妄想）、阴性症状（情感迟钝、失语、社交能力下降和快感缺乏）以及持续性认知缺陷（记忆、注意力和学习）为特征的疾病。虽然主观体验背后的生物学很难研究，但脑电图 (EEG) 测量的异常提供了一种剖析大脑功能的潜在回路和细胞变化的方法。由于引入了将事件相关活动分解为其频率成分的技术，脑电图对于研究大脑信息处理是必不可少的。具体来说，伽马频率范围（30-80Hz）的大脑活动被认为是认知功能的基础，并且可以用作内表型来帮助诊断和治疗 SCZ。在这篇综述中，我们讨论了表明 SCZ 中静息态伽马功率增加的证据。我们探讨了对动物疾病的这一方面进行建模如何有助于治疗开发以及提供对 SCZ 病因学的深入了解。
Schizophrenia (SCZ) is a disorder characterized by positive symptoms (hallucinations, delusions), negative symptoms (blunted affect, alogia, reduced sociability, and anhedonia), as well as persistent cognitive deficits (memory, concentration, and learning). While the biology underlying subjective experiences is difficult to study, abnormalities in electroencephalographic (EEG) measures offer a means to dissect potential circuit and cellular changes in brain function. EEG is indispensable for studying cerebral information processing due to the introduction of techniques for the decomposition of event-related activity into its frequency components. Specifically, brain activity in the gamma frequency range (30–80Hz) is thought to underlie cognitive function and may be used as an endophenotype to aid in diagnosis and treatment of SCZ. In this review we address evidence indicating that there is increased resting state gamma power in SCZ. We address how modeling this aspect of the illness in animals may help treatment development as well as providing insight into the etiology of SCZ.