Department of Pediatrics, University of Chicago, Chicago, IL, 60637, USA.
Medical Scientist Training Program, University of Chicago, Chicago, IL, 60637, USA.
Commun Biol. 2023 Mar 25;6(1):317. doi: 10.1038/s42003-023-04696-3.
The electrographic manifestation of neural activity can reflect the relationship between the faster action potentials of individual neurons and the slower fluctuations of the local field potential (LFP). This relationship is typically examined in the temporal domain using the spike-triggered average. In this study, we add a spatial component to this relationship. Here we first derive a theoretical model of the spike-LFP relationship across a macroelectrode. This mathematical derivation showed a special symmetry in the spike-LFP relationship wherein a sinc function in the temporal domain predicts a sinc function in the spatial domain. We show that this theoretical result is observed in a real-world system by characterizing the spike-LFP relationship using microelectrode array (MEA) recordings of human focal seizures. To do this, we present a approach, termed the spatiotemporal spike-centered average (st-SCA), that allows for visualization of the spike-LFP relationship in both the temporal and spatial domains. We applied this method to 25 MEA recordings obtained from seven patients with pharmacoresistant focal epilepsy. Of the five patients with MEAs implanted in recruited territory, three exhibited spatiotemporal patterns consistent with a sinc function, and two exhibited spatiotemporal patterns resembling deep wells of excitation. These results suggest that in some cases characterization of the spike-LFP relationship in the temporal domain is sufficient to predict the underlying spatial pattern. Finally, we discuss the biological interpretation of these findings and propose that the sinc function may reflect the role of mid-range excitatory connections during seizure activity.
神经活动的电图表现可以反映单个神经元更快的动作电位与局部场电位 (LFP) 更慢的波动之间的关系。这种关系通常在时域中使用触发平均来检查。在这项研究中,我们为这种关系添加了一个空间成分。我们首先为跨macroelectrode 的尖峰-LFP 关系推导出一个理论模型。这个数学推导显示了尖峰-LFP 关系中的一个特殊对称性,即时域中的 sinc 函数预测空间域中的 sinc 函数。我们通过使用人类局灶性癫痫发作的微电极阵列 (MEA) 记录来表征尖峰-LFP 关系,在真实系统中观察到了这个理论结果。为此,我们提出了一种称为时空尖峰中心化平均 (st-SCA) 的方法,允许在时域和空间域可视化尖峰-LFP 关系。我们将该方法应用于 7 名耐药性局灶性癫痫患者的 25 个 MEA 记录。在招募的脑区植入 MEAs 的 5 名患者中,有 3 名表现出与 sinc 函数一致的时空模式,而 2 名表现出类似于深部兴奋井的时空模式。这些结果表明,在某些情况下,在时域中对尖峰-LFP 关系的特征描述足以预测潜在的空间模式。最后,我们讨论了这些发现的生物学解释,并提出 sinc 函数可能反映了癫痫发作期间中程兴奋性连接的作用。