Mechanisms underlying state dependent surface-evoked response patterns.
Mechanisms underlying state dependent surface-evoked response patterns.
复制标题
状态依赖的表面诱发反应模式的潜在机制。
DOI：
10.1016/j.neuroscience.2008.11.031
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发表时间：
2009
期刊：
影响因子：
3.3
通讯作者：
Rojas,MJ
中科院分区：
文献类型：
--
作者：
Rector,DM;Schei,JL;Rojas,MJ
皮层诱发反应电位（ERPs）显示出一组丰富的波形，这些波形既依赖于情境，也依赖于状态。然而，状态依赖性ERP模式的机制尚不清楚。通过对单次试验ERP波形特征的分析来确定这些机制可能有助于深入了解皮层柱状态的调节以及睡眠在皮层功能中的作用。在随机听觉滴答声的1 ~ 2 s内，连续植入大鼠脑电图（EEG）和肌电图（EMG）电极，记录大鼠的erp并评估其睡眠/清醒状态。个体皮层听觉erp分为8种行为状态，并根据振幅和潜伏期特征分为3类。清醒期和快速眼动期的erp以低振幅和短潜伏期为主。在轻度安静睡眠（安静睡眠1和安静睡眠2）期间，大约50%的erp表现出低幅度、短潜伏期的反应，其余的erp表现出高幅度、长潜伏期的反应。这种分布是低频δ波时脑电图波动的特征。在深度安静睡眠（安静睡眠3和安静睡眠4）期间，更多的个体ERP表现出非常低的振幅，导致平均ERP较低。这些结果支持了诱发反应振幅和波形模式遵循特定脑电图模式的假设。由于诱发反应特征在不同的状态下分布不同，它们可以帮助我们通过状态相关和局部神经信号来理解睡眠机制。
Cortical evoked response potentials (ERPs) display a rich set of waveforms that are both context and state dependent. However, the mechanisms that underlie state dependent ERP patterns are unclear. Determining those mechanisms through analysis of single trial ERP waveform signatures may provide insight into the regulation of cortical column state and the roles that sleep plays in cortical function. We implanted rats with electroencephalogram (EEG) and electromyogram (EMG) electrodes to record ERPs and to assess sleep/wake states continuously during 1–2 s random auditory clicks. Individual cortical auditory ERPs were sorted into one of eight behavioral states, and fell into three categories based on amplitude and latency characteristics. ERPs within waking and rapid eye movement (REM) sleep were predominantly low amplitude and short latency. Approximately 50% of ERPs during light quiet sleep (quiet sleep 1 and quiet sleep 2) exhibited low amplitude, short latency responses, and the remaining ERPs had high amplitude, long latency responses. This distribution was characteristic of EEG fluctuations during low frequency delta waves. Significantly more individual ERPs showed very low amplitudes during deep quiet sleep (quiet sleep 3 and quiet sleep 4), resulting in a lower average ERP. These results support the hypothesis that evoked response amplitudes and waveform patterns follow specific EEG patterns. Since evoked response characteristics distribute differently across states, they could aid our understanding of sleep mechanisms through state-related and local neural signaling.