Modeling the nonlinear properties of the in vitro hippocampal perforant path-dentate system using multielectrode array technology

被引:10
作者
Dimoka, Angelika [1 ]
Courellis, Spiros H. [2 ]
Gholmieh, Ghassan I. [2 ]
Marmarelis, Vasilis Z. [2 ]
Berger, Theodore W. [2 ,3 ]
机构
[1] Univ Calif Riverside, Bourns Sch Engn, Dept Bioengn, Riverside, CA 92521 USA
[2] Univ So Calif, Viterbi Sch Engn, Dept Biomed Engn, Los Angeles, CA 90089 USA
[3] Univ So Calif, Neurosci Program, Los Angeles, CA 90089 USA
关键词
dentate gyrus; electrophysiology; hippocampus; Laguerre expansion; multielectrode arrays; nonlinear modeling; perforant path; synaptic transmission; Volterra kernel; PAIRED-PULSE DEPRESSION; LATERAL ENTORHINAL CORTEX; LONG-TERM POTENTIATION; PYRAMIDAL CELLS; FASCIA-DENTATA; POTASSIUM CONDUCTANCE; SYNAPTIC TRANSMISSION; MICROELECTRODE ARRAY; GRANULE CELLS; RAT;
D O I
10.1109/TBME.2007.908075
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A modeling approach to characterize the nonlinear dynamic transformations of the dentate gyrus of the hippocampus is presented and experimentally validated. The dentate gyrus is the first region of the hippocampus which receives and integrates sensory information via the perforant path. The perforant path is composed of two distinct pathways: 1) the lateral path and 2) the medial perforant path. The proposed approach examines and captures the short-term dynamic characteristics of these two pathways using a nonparametric, third-order Poisson-Volterra model. The nonlinear characteristics of the two pathways are represented by Poisson-Volterra kernels, which are quantitative descriptors of the nonlinear dynamic transformations. The kernels were computed with experimental data from in vitro hippocampal slices. The electrophysiological activity was measured with custom-made multielectrode arrays, which allowed selective stimulation with random impulse trains and simultaneous recordings of extracellular field potential activity. The results demonstrate that this mathematically rigorous approach is suitable for the multipathway complexity of the hippocampus and yields interpretable models that have excellent predictive capabilities. The resulting models not only accurately predict previously reported electrophysiological descriptors, such as paired pulses, but more important, can be used to predict the electrophysiological activity of dentate granule cells to arbitrary stimulation patterns at the perforant path.
引用
收藏
页码:693 / 702
页数:10
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