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首页> 外文期刊>The European Journal of Neuroscience >Neural oscillations during non-rapid eye movement sleep as biomarkers of circuit dysfunction in schizophrenia
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Neural oscillations during non-rapid eye movement sleep as biomarkers of circuit dysfunction in schizophrenia

机译:非快速眼动睡眠中的神经振荡是精神分裂症电路功能障碍的生物标志

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摘要

The neurophysiology of non-rapid eye movement sleep is characterized by the occurrence of neural network oscillations with distinct origins and frequencies, which act in concert to support sleep-dependent information processing. Thalamocortical circuits generate slow (0.25-4 Hz) oscillations reflecting synchronized temporal windows of cortical activity, whereas concurrent waxing and waning spindle oscillations (8-15 Hz) act to facilitate cortical plasticity. Meanwhile, fast (140-200 Hz) and brief (< 200 ms) hippocampal ripple oscillations are associated with the reactivation of neural assemblies recruited during prior wakefulness. The extent of the forebrain areas engaged by these oscillations, and the variety of cellular and synaptic mechanisms involved, make them sensitive assays of distributed network function. Each of these three oscillations makes crucial contributions to the offline memory consolidation processes supported by non-rapid eye movement sleep. Slow, spindle and ripple oscillations are therefore potential surrogates of cognitive function and may be used as diagnostic measures in a range of brain diseases. We review the evidence for disrupted slow, spindle and ripple oscillations in schizophrenia, linking pathophysiological mechanisms to the functional impact of these neurophysiological changes and drawing links with the cognitive symptoms that accompany this condition. Finally, we discuss potential therapies that may normalize the coordinated activity of these three oscillations in order to restore healthy cognitive function.
机译:非快速眼动睡眠的神经生理学的特征是神经网络振荡的发生,其起源和频率各不相同,它们共同作用以支持依赖于睡眠的信息处理。丘脑皮质回路产生缓慢的(0.25-4 Hz)振荡,反映出同步的皮质活动时间窗,而同时出现的蜡化和减弱纺锤体振荡(8-15 Hz)有助于促进皮质可塑性。同时,快速的(140-200 Hz)和短暂的(<200 ms)海马波纹振荡与先前觉醒期间募集的神经组件的重新激活有关。这些振荡参与的前脑区域的范围以及所涉及的细胞和突触机制的多样性,使它们成为分布式网络功能的灵敏检测方法。这三种振荡中的每一种都对非快速眼动睡眠所支持的离线内存整合过程做出了重要贡献。因此,缓慢的,纺锤状的和脉动的振荡是认知功能的潜在替代物,可以用作一系列脑疾病的诊断手段。我们审查了精神分裂症中缓慢,纺锤体和波纹振荡中断的证据,将病理生理机制与这些神经生理学改变的功能影响联系起来,并得出了与这种情况相伴的认知症状的联系。最后,我们讨论了可能使这三个振荡的协调活动正常化的潜在疗法,以恢复健康的认知功能。

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