Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation.

Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation.
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相关的刺激对神经网络皮质模拟中爆发活性的影响。

DOI:
10.1016/j.eplepsyres.2008.12.005
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发表时间:
2009-03
期刊:
影响因子:
2.2
通讯作者:
Franaszczuk, Piotr J.
Franaszczuk, Piotr J.
中科院分区:
医学4区
文献类型:
--
作者:
Anderson, William S.;Kudela, Pawel;Weinberg, Seth;Bergey, Gregory K.;Franaszczuk, Piotr J.

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一个神经网络模拟与现实的皮层结构已被用来研究同步爆发癫痫发作的代表。该模型具有爆发期自发产生和自发终止的性质,并且爆发期可以由外部刺激诱导。我们已经使用这种模拟来研究不断发展的突发活动的时频特性,以及由于网络刺激的影响。该模型代表了1.6 mm × 1.6 mm的皮层区域,包括按皮层层、抑制或兴奋特性和电生理特性组织的7个神经元类。总共有65536个模型化的单室神经元,它们根据Hodgkin-Huxley动力学的一个版本运行。细胞间连接是基于组织学研究和我们以前的建模工作。爆发相的特征在于平坦的频谱。刺激脉冲被施加到这个建模的网络上,由半径1 mm的圆形电极提供的电场在模拟中以数学方式表示。一个相位依赖于刺激后的静止证明,与当地的相对最大功效发生在网络去极化阶段之前或期间的基础活动。网络对刺激的短暂不敏感也被证明。相位依赖性是不规则的,并且当在整个2.5秒的模拟爆发研究中平均时没有达到统计学显著性。这一结果提供了与先前的体内研究的比较,这些研究也证明了当在皮层后放电期间在局部场电位的峰值处施加脉冲时刺激的功效增加。当比较表示高达10毫秒的不确定性的不同神经元类时,网络突发是同步的。用兴奋性枝形吊灯细胞成分进行的研究表明,在模型中同步爆发增加,从实验工作中预测。这种大规模的多神经元神经网络模拟再现了不断发展的皮层爆发行为的许多方面,以及电刺激对该爆发的时间依赖性影响。
A neural network simulation with realistic cortical architecture has been used to study synchronized bursting as a seizure representation. This model has the property that bursting epochs arise and cease spontaneously, and bursting epochs can be induced by external stimulation. We have used this simulation to study the time-frequency properties of the evolving bursting activity, as well as effects due to network stimulation. The model represents a cortical region of 1.6 mm × 1.6 mm, and includes seven neuron classes organized by cortical layer, inhibitory or excitatory properties, and electrophysiological characteristics. There are a total of 65, 536 modeled single compartment neurons that operate according to a version of Hodgkin-Huxley dynamics. The intercellular wiring is based on histological studies and our previous modeling efforts. The bursting phase is characterized by a flat frequency spectrum. Stimulation pulses are applied to this modeled network, with an electric field provided by a 1 mm radius circular electrode represented mathematically in the simulation. A phase dependence to the post-stimulation quiescence is demonstrated, with local relative maxima in efficacy occurring before or during the network depolarization phase in the underlying activity. Brief periods of network insensitivity to stimulation are also demonstrated. The phase dependence was irregular and did not reach statistical significance when averaged over the full 2.5 seconds of simulated bursting investigated. This result provides comparison with previous in vivo studies which have also demonstrated increased efficacy of stimulation when pulses are applied at the peak of the local field potential during cortical afterdischarges. The network bursting is synchronous when comparing the different neuron classes represented up to an uncertainty of 10 msec. Studies performed with an excitatory chandelier cell component demonstrated increased synchronous bursting in the model, as predicted from experimental work. This large scale multi-neuron neural network simulation reproduces many aspects of evolving cortical bursting behaviour as well as the timing-dependent effects of electrical stimulation on that bursting.
DOI: 10.1002/cne.10622
发表时间: 2003-05-12
影响因子: 2.5
作者:
Dinocourt, C;Petanjek, Z;Esclapez, M
通讯作者: Esclapez, M
DOI: 10.1126/science.1097065
发表时间: 2004-07-23
期刊: SCIENCE
影响因子: 56.9
作者:
Bernard, C;Anderson, A;Johnston, D
通讯作者: Johnston, D
DOI: 10.1111/j.0013-9580.2003.12005.x
发表时间: 2003-01-01
期刊: EPILEPSIA
影响因子: 5.6
作者:
da Silva, FL;Blanes, W;Velis, DN
通讯作者: Velis, DN
DOI: 10.1007/bf00340492
发表时间: 1986-01-01
影响因子: 2
作者:
KISVARDAY, ZF;MARTIN, KAC;SOMOGYI, P
通讯作者: SOMOGYI, P
DOI: 10.1007/bf00201411
发表时间: 1993-05-01
影响因子: 1.9
作者:
AVRON, E;PARNAS, H;SEGEL, LA
通讯作者: SEGEL, LA