Origin of active states in local neocortical networks during slow sleep oscillation.
Origin of active states in local neocortical networks during slow sleep oscillation.
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DOI：
10.1093/cercor/bhq009
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发表时间：
2010-11
期刊：
影响因子：
--
通讯作者：
Timofeev I
中科院分区：
文献类型：
--
作者：
Chauvette S;Volgushev M;Timofeev I
慢波睡眠的特征是皮质丘脑网络中活动和沉默的自发交替，但从沉默转变为活跃的原因尚不清楚。在自然睡眠或麻醉猫中，我们利用同步的多部位场电位、多单位记录和细胞内记录，研究了活动启动的局部机制。我们证明，活动可以在任何神经元或记录位置开始，在其他细胞和位置有数十毫秒的延迟。然而，通常情况下，活动始于深层，然后涉及一些浅层细胞，但后来出现在皮质的中间。神经元的放电也被发现在活动状态开始后，在对应于皮质V层的深处开始。这些结果支持了从沉默到活动的转换是由自发突触事件介导的假说，因此任何神经元都可能首先变得活跃。由于活动开始的概率性质，来自皮质深层的大锥体细胞配备了最多的突触输入和大的投射区域，最适合将整个网络切换到活动状态。
Slow-wave sleep is characterized by spontaneous alternations of activity and silence in corticothalamic networks, but the causes of transition from silence to activity remain unknown. We investigated local mechanisms underlying initiation of activity, using simultaneous multisite field potential, multiunit recordings, and intracellular recordings from 2 to 4 nearby neurons in naturally sleeping or anesthetized cats. We demonstrate that activity may start in any neuron or recording location, with tens of milliseconds delay in other cells and sites. Typically, however, activity originated at deep locations, then involved some superficial cells, but appeared later in the middle of the cortex. Neuronal firing was also found to begin, after the onset of active states, at depths that correspond to cortical layer V. These results support the hypothesis that switch from silence to activity is mediated by spontaneous synaptic events, whereby any neuron may become active first. Due to probabilistic nature of activity onset, the large pyramidal cells from deep cortical layers, which are equipped with the most numerous synaptic inputs and large projection fields, are best suited for switching the whole network into active state.
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