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通过高斯插值法进行电流源密度重建,对海马网络动力学在θ波爆发刺激后的微电极阵列分析。

Microelectrode array analysis of hippocampal network dynamics following theta-burst stimulation via current source density reconstruction by Gaussian interpolation.

作者信息

Kim Hyun-Bum, Oh Tong-In, Swanberg Kelley M, Lee Mun-Bae, Kim Tae-Woo, Woo Eung-Je, Park Ji-Ho, Kwon Oh-In

机构信息

Department of East-West Medical Science, Graduate School of East-West Medical Science, Kyung Hee University, Deogyeong-daero, Giheung-gu, Yongin 446-701, Republic of Korea.

Department of Biomedical Engineering, Engineering, College of Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 130-701, Republic of Korea.

出版信息

J Neurosci Methods. 2016 May 1;264:1-10. doi: 10.1016/j.jneumeth.2016.02.011. Epub 2016 Feb 12.

Abstract

BACKGROUND

Multielectrode arrays (MEAs) have been used to understand electrophysiological network dynamics by recording real-time activity in groups of cells. The extent to which the collection of such data enables hypothesis testing on the level of circuits and networks depends largely on the sophistication of the analyses applied.

NEW METHOD

We studied the systemic temporal variations of endogenous signaling within an organotypic hippocampal network following theta-burst stimulation (TBS) to the Schaffer collateral-commissural pathways. The recovered current source density (CSD) information from the raw grid of extracellular potentials by using a Gaussian interpolation method increases spatial resolution and avoids border artifacts by numerical differentials.

RESULTS

We compared total sink and source currents in DG, CA3, and CA1; calculated accumulated correlation coefficients to compare pre- with post-stimulation CSD dynamics in each region; and reconstructed functional connectivity maps for regional cross-correlations with respect to temporal CSD variations. The functional connectivity maps for potential correlations pre- and post-TBS were compared to investigate the neural network as a whole, revealing differences post-TBS.

COMPARISON WITH EXISTING METHOD(S): Previous MEA work on plasticity in hippocampal evoked potentials has focused on synchronicity across the hippocampus within isolated subregions. Such analyses ignore the complex relationships among diverse components of the hippocampal circuitry, thus failing to capture network-level behaviors integral to understanding hippocampal function.

CONCLUSIONS

The proposed method of recovering current source density to examine whole-hippocampal function is sensitive to experimental manipulation and is worth further examination in the context of network-level analyses of neural signaling.

摘要

背景

多电极阵列(MEA)已被用于通过记录细胞群中的实时活动来理解电生理网络动态。收集此类数据能够在电路和网络层面进行假设检验的程度,在很大程度上取决于所应用分析方法的复杂性。

新方法

我们研究了在对海马体的Schaffer侧支-连合通路进行θ波爆发刺激(TBS)后,器官型海马网络内源性信号的系统性时间变化。通过使用高斯插值方法从原始细胞外电位网格中恢复电流源密度(CSD)信息,提高了空间分辨率,并通过数值微分避免了边界伪影。

结果

我们比较了齿状回(DG)、海马体CA3区和CA1区的总汇电流和源电流;计算了累积相关系数,以比较每个区域刺激前后的CSD动态;并针对时间CSD变化重建了区域交叉相关性的功能连接图。比较了TBS前后潜在相关性的功能连接图,以整体研究神经网络,揭示了TBS后的差异。

与现有方法的比较

先前关于海马体诱发电位可塑性的MEA研究主要集中在孤立子区域内海马体的同步性上。此类分析忽略了海马体回路不同组成部分之间的复杂关系,因此未能捕捉到理解海马体功能所必需的网络层面行为。

结论

所提出的用于检查全海马体功能的恢复电流源密度方法对实验操作敏感,值得在神经信号网络层面分析的背景下进一步研究。

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