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存在抑制作用时海马同步爆发的模型。I. 单群体事件。

Models of synchronized hippocampal bursts in the presence of inhibition. I. Single population events.

作者信息

Traub R D, Miles R, Wong R K

机构信息

IBM T. J. Watson Research Center, Yorktown Heights 10598.

出版信息

J Neurophysiol. 1987 Oct;58(4):739-51. doi: 10.1152/jn.1987.58.4.739.

DOI:10.1152/jn.1987.58.4.739
PMID:3681392
Abstract
  1. We constructed model networks with 520 or 1,020 cells intended to represent the CA3 region of the hippocampus. Model neurons were simulated in enough detail to reproduce intrinsic bursting and the electrotonic flow of currents along dendritic cables. Neurons exerted either excitatory or inhibitory postsynaptic actions on other cells. The network models were simulated with different levels of excitatory and inhibitory synaptic strengths in order to study epileptic and other interesting collective behaviors in the system. 2. Excitatory synapses between neurons in the network were powerful enough so that burst firing in a presynaptic neuron would evoke bursting in its connected cells. Since orthodromic or antidromic stimulation evokes both a fast and a slow phase of inhibition, two types of inhibitory cells were simulated. The properties of these inhibitory cells were modeled to resemble those of two types of inhibitory cells characterized by dual intracellular recordings in the slice preparation. 3. With fast inhibition totally blocked, a stimulus to a single cell lead to a synchronized population burst. Thus the principles of our epileptic synchronization model, developed earlier, apply even when slow inhibitory postsynaptic potentials (IPSPs) are present, as apparently occurs in the epileptic hippocampal slice. The model performs in this way because bursting can propagate through several generations in the network before slow inhibition builds up enough to block burst propagation. This can occur, however, only if connectivity is sufficiently large. With very low connection densities, slow IPSPs will prevent the development of full synchronization. 4. We performed multiple simulations in which the fast inhibitory conductance strength was kept fixed at various levels while the strength of the excitatory synapses was varied. In each simulation, we stimulated either one or four cells. For each level of inhibition, the peak number of cells bursting depended sensitively on excitatory synaptic strength, showing a sudden increase as this strength reached a critical level. The critical excitation, which depended on the level of inhibition, corresponded to the level at which bursting can propagate from cell to cell at the particular level of inhibition. 5. We performed an analogous series of simulations in which the strength of excitatory synapses was held constant while the strength of fast inhibitory synapses was varied, stimulating a single neuron in each case. These simulations correspond to experiments that have been done in the hippocampal slice as low doses of picrotoxin are washed into a slice, gradually abolishing fast inhibition.(ABSTRACT TRUNCATED AT 400 WORDS)
摘要
  1. 我们构建了包含520个或1020个细胞的模型网络,旨在模拟海马体的CA3区域。对模型神经元进行了足够详细的模拟,以重现内在爆发以及电流沿树突电缆的电紧张性流动。神经元对其他细胞施加兴奋性或抑制性突触作用。为了研究该系统中的癫痫及其他有趣的集体行为,对网络模型进行了不同水平的兴奋性和抑制性突触强度模拟。2. 网络中神经元之间的兴奋性突触足够强大,以至于突触前神经元的爆发式放电会在与其相连的细胞中引发爆发。由于顺向或逆向刺激会引发快速和慢速抑制相,因此模拟了两种类型的抑制性细胞。这些抑制性细胞的特性被建模为类似于在脑片制备中通过双细胞内记录所表征的两种抑制性细胞的特性。3. 当快速抑制完全被阻断时,对单个细胞的刺激会导致群体同步爆发。因此,我们早期开发的癫痫同步模型的原理即使在存在慢速抑制性突触后电位(IPSPs)时也适用,这显然发生在癫痫海马体脑片中。该模型之所以如此表现,是因为爆发可以在网络中传播几代,直到慢速抑制积累到足以阻断爆发传播。然而,只有当连接性足够大时才会发生这种情况。在连接密度非常低的情况下,慢速IPSPs将阻止完全同步的发展。4. 我们进行了多次模拟,其中快速抑制电导强度保持在不同水平,同时改变兴奋性突触的强度。在每次模拟中,我们刺激一个或四个细胞。对于每个抑制水平,爆发细胞的峰值数量敏感地取决于兴奋性突触强度,当该强度达到临界水平时会突然增加。取决于抑制水平的临界兴奋对应于在特定抑制水平下爆发能够在细胞间传播的水平。5. 我们进行了一系列类似的模拟,其中兴奋性突触强度保持不变,同时改变快速抑制性突触的强度,每种情况下刺激单个神经元。这些模拟对应于在海马体脑片中进行的实验,即当低剂量的苦味毒被冲洗到脑片中时,会逐渐消除快速抑制。(摘要截断于400字)

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