首页> 美国卫生研究院文献>PLoS Computational Biology >Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans
【2h】

Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans

机译:从清醒到深度睡眠神经元雪崩有所不同–来自人类颅内深度记录的证据

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Neuronal activity differs between wakefulness and sleep states. In contrast, an attractor state, called self-organized critical (SOC), was proposed to govern brain dynamics because it allows for optimal information coding. But is the human brain SOC for each vigilance state despite the variations in neuronal dynamics? We characterized neuronal avalanches – spatiotemporal waves of enhanced activity - from dense intracranial depth recordings in humans. We showed that avalanche distributions closely follow a power law – the hallmark feature of SOC - for each vigilance state. However, avalanches clearly differ with vigilance states: slow wave sleep (SWS) shows large avalanches, wakefulness intermediate, and rapid eye movement (REM) sleep small ones. Our SOC model, together with the data, suggested first that the differences are mediated by global but tiny changes in synaptic strength, and second, that the changes with vigilance states reflect small deviations from criticality to the subcritical regime, implying that the human brain does not operate at criticality proper but close to SOC. Independent of criticality, the analysis confirms that SWS shows increased correlations between cortical areas, and reveals that REM sleep shows more fragmented cortical dynamics.
机译:神经元活动在清醒状态和睡眠状态之间有所不同。相比之下,提出了一种称为自组织临界(SOC)的吸引子状态来控制大脑动力学,因为它可以实现最佳的信息编码。但是,尽管神经元动力学有所变化,但每个警觉状态下的人脑SOC仍然吗?我们从人类密集的颅内深度记录中表征了神经元雪崩-增强活动的时空波。我们表明,对于每个警戒状态,雪崩分布都严格遵循幂定律(SOC的特征)。但是,雪崩与警觉状态明显不同:慢波睡眠(SWS)显示较大的雪崩,中度觉醒,而快速眼动(REM)睡眠较小。我们的SOC模型以及数据表明,差异首先是由突触强度的整体但微小的变化所介导,其次,具有警惕状态的变化反映了从临界状态到亚临界状态的微小偏差,这意味着人脑确实不能在临界状态下正常运行,但接近SOC。独立于危险程度,该分析确认SWS显示皮质区域之间的相关性增加,并表明REM睡眠表现出更多的皮质动力学碎片。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号