Constantinou Maria, Gonzalo Cogno Soledad, Elijah Daniel H, Kropff Emilio, Gigg John, Samengo Inés, Montemurro Marcelo A
Faculty of Biology, Medicine and Health, The University of Manchester Manchester, UK.
Centro Atómico Bariloche and Instituto Balseiro San Carlos de Bariloche, Argentina.
Front Comput Neurosci. 2016 Dec 26;10:133. doi: 10.3389/fncom.2016.00133. eCollection 2016.
Burst spike patterns are common in regions of the hippocampal formation such as the subiculum and medial entorhinal cortex (MEC). Neurons in these areas are immersed in extracellular electrical potential fluctuations often recorded as the local field potential (LFP). LFP rhythms within different frequency bands are linked to different behavioral states. For example, delta rhythms are often associated with slow-wave sleep, inactivity and anesthesia; whereas theta rhythms are prominent during awake exploratory behavior and REM sleep. Recent evidence suggests that bursting neurons in the hippocampal formation can encode LFP features. We explored this hypothesis using a two-compartment model of a bursting pyramidal neuron driven by time-varying input signals containing spectral peaks at either delta or theta rhythms. The model predicted a neural code in which bursts represented the instantaneous value, phase, slope and amplitude of the driving signal both in their timing and size (spike number). To verify whether this code is employed , we examined electrophysiological recordings from the subiculum of anesthetized rats and the MEC of a behaving rat containing prevalent delta or theta rhythms, respectively. In both areas, we found bursting cells that encoded information about the instantaneous voltage, phase, slope and/or amplitude of the dominant LFP rhythm with essentially the same neural code as the simulated neurons. A fraction of the cells encoded part of the information in burst size, in agreement with model predictions. These results provide evidence that the output of bursting neurons in the mammalian brain is tuned to features of the LFP.
爆发式尖峰模式在海马结构区域如海马下脚和内侧内嗅皮层(MEC)中很常见。这些区域的神经元沉浸在细胞外电位波动中,这种波动通常记录为局部场电位(LFP)。不同频段的LFP节律与不同的行为状态相关联。例如,δ节律通常与慢波睡眠、静止和麻醉有关;而θ节律在清醒探索行为和快速眼动睡眠期间较为突出。最近的证据表明,海马结构中的爆发式神经元可以编码LFP特征。我们使用一个由包含δ或θ节律频谱峰值的时变输入信号驱动的爆发式锥体神经元的双室模型来探索这一假设。该模型预测了一种神经编码,其中爆发在其时间和大小(尖峰数量)上代表驱动信号的瞬时值、相位、斜率和幅度。为了验证是否采用了这种编码,我们分别检查了来自麻醉大鼠海马下脚和行为大鼠MEC的电生理记录,这些记录分别包含普遍存在的δ或θ节律。在这两个区域,我们都发现了爆发式细胞,它们用与模拟神经元基本相同的神经编码来编码关于主导LFP节律的瞬时电压、相位、斜率和/或幅度的信息。与模型预测一致,一部分细胞在爆发大小中编码了部分信息。这些结果提供了证据,表明哺乳动物大脑中爆发式神经元的输出被调整到LFP的特征。