Herreras Oscar, Torres Daniel, Makarov Valeriy A, Makarova Julia
Laboratory of Experimental and Computational Neurophysiology, Department of Translational Neuroscience, Cajal Institute, Spanish National Research Council, Madrid, Spain.
Institute for Interdisciplinary Mathematics, School of Mathematics, Universidad Complutense de Madrid, Madrid, Spain.
Front Cell Neurosci. 2023 Mar 30;17:1129097. doi: 10.3389/fncel.2023.1129097. eCollection 2023.
Field potential (FP) recording is an accessible means to capture the shifts in the activity of neuron populations. However, the spatial and composite nature of these signals has largely been ignored, at least until it became technically possible to separate activities from co-activated sources in different structures or those that overlap in a volume. The pathway-specificity of mesoscopic sources has provided an anatomical reference that facilitates transcending from theoretical analysis to the exploration of real brain structures. We review computational and experimental findings that indicate how prioritizing the spatial geometry and density of sources, as opposed to the distance to the recording site, better defines the amplitudes and spatial reach of FPs. The role of geometry is enhanced by considering that zones of the active populations that act as sources or sinks of current may arrange differently with respect to each other, and have different geometry and densities. Thus, observations that seem counterintuitive in the scheme of distance-based logic alone can now be explained. For example, geometric factors explain why some structures produce FPs and others do not, why different FP motifs generated in the same structure extend far while others remain local, why factors like the size of an active population or the strong synchronicity of its neurons may fail to affect FPs, or why the rate of FP decay varies in different directions. These considerations are exemplified in large structures like the cortex and hippocampus, in which the role of geometrical elements and regional activation in shaping well-known FP oscillations generally go unnoticed. Discovering the geometry of the sources in play will decrease the risk of population or pathway misassignments based solely on the FP amplitude or temporal pattern.
场电位(FP)记录是一种可获取的手段,用于捕捉神经元群体活动的变化。然而,这些信号的空间和复合性质在很大程度上被忽视了,至少在技术上能够将不同结构中共同激活源或体积上重叠的源的活动分离之前是这样。介观源的通路特异性提供了一种解剖学参考,有助于从理论分析跨越到对真实脑结构的探索。我们回顾了计算和实验结果,这些结果表明,与到记录位点的距离相比,优先考虑源的空间几何形状和密度能更好地定义场电位的幅度和空间范围。考虑到作为电流源或汇的活跃群体区域可能彼此排列不同,且具有不同的几何形状和密度,几何形状的作用得到了增强。因此,仅在基于距离的逻辑框架中看似违反直觉的观察结果现在可以得到解释。例如,几何因素解释了为什么一些结构会产生场电位而另一些则不会,为什么在同一结构中产生的不同场电位模式有些传播得很远而有些则局限于局部,为什么像活跃群体的大小或其神经元的强同步性等因素可能不会影响场电位,或者为什么场电位衰减率在不同方向上会有所变化。这些考虑在诸如皮层和海马体等大型结构中得到了体现,在这些结构中,几何元素和区域激活在塑造众所周知的场电位振荡中的作用通常未被注意到。发现起作用的源的几何形状将降低仅基于场电位幅度或时间模式而对群体或通路进行错误分配的风险。