Department of Theory, Wigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest, Hungary.
Eur J Neurosci. 2012 Nov;36(10):3299-313. doi: 10.1111/j.1460-9568.2012.08249.x. Epub 2012 Aug 31.
Traditional current source density (tCSD) calculation method calculates neural current source distribution of extracellular (EC) potential patterns, thus providing important neurophysiological information. While the tCSD method is based on physical principles, it adopts some assumptions, which can not hold for single-cell activity. Consequently, tCSD method gives false results for single-cell activity. A new, spike CSD (sCSD) method has been developed, specifically designed to reveal CSD distribution of single cells during action potential generation. This method is based on the inverse solution of the Poisson-equation. The efficiency of the method is tested and demonstrated with simulations, and showed, that the sCSD method reconstructed the original CSD more precisely than the tCSD. The sCSD method is applied to EC spatial potential patterns of spikes, measured in cat primary auditory cortex with a 16-channel chronically implanted linear probe in vivo. Using our method, the cell-electrode distances were estimated and the spatio-temporal CSD distributions were reconstructed. The results suggested, that the new method is potentially useful in determining fine details of the spatio-temporal dynamics of spikes.
传统的电流源密度 (tCSD) 计算方法计算细胞外 (EC) 电位模式的神经电流源分布，从而提供重要的神经生理信息。虽然 tCSD 方法基于物理原理，但它采用了一些假设，这些假设不适用于单细胞活动。因此，tCSD 方法对单细胞活动给出了错误的结果。已经开发了一种新的、尖峰电流源密度 (sCSD) 方法，专门用于揭示动作电位产生过程中单细胞的电流源密度分布。该方法基于泊松方程的逆解。通过模拟对该方法的效率进行了测试和验证，并表明 sCSD 方法比 tCSD 更精确地重建了原始 CSD。该 sCSD 方法应用于在体通过 16 通道慢性植入线性探针在猫初级听觉皮层中测量的尖峰的 EC 空间电位模式。使用我们的方法，估计了细胞-电极距离，并重建了时空电流源密度分布。结果表明，该新方法在确定尖峰时空动力学的细微细节方面具有潜在的用途。
