Department of Systems Neuroscience, Cajal Institute-CSIC Madrid, Spain.
Group of Neuroscience and Motor Control (NEUROcom) and Institute for Biomedical Research of A Coruña, University of A Coruña La Coruña, Spain.
Front Syst Neurosci. 2014 May 1;8:66. doi: 10.3389/fnsys.2014.00066. eCollection 2014.
Deciphering how the brain encodes the continuous flow of information contained in natural stimuli requires understanding the spontaneous activity of functional assemblies in multiple neuronal populations. A promising integrative approach that combines multisite recordings of local field potentials (LFP) with an independent component analysis (ICA) enables continuous readouts of population specific activities of functionally different neuron groups to be obtained. We previously used this technique successfully in the hippocampus, a single-layer neuronal structure. Here we provide numerical evidence that the cytoarchitectonic complexity of other brain structures does not compromise the value of the ICA-separated LFP components, given that spatial sampling of LFP is representative. The spatial distribution of an LFP component may be quite complex due to folded and multilayered structure of the neuronal aggregate. Nevertheless, the time course of each LFP component is still a reliable postsynaptic convolution of spikes fired by a homogeneous afferent population. This claim is supported by preliminary experimental data obtained in the lateral geniculate nucleus of the awake monkey.
破译大脑如何对自然刺激中包含的连续信息流进行编码,需要了解多个神经元群体中功能组件的自发活动。一种很有前途的综合方法,将局部场电位(LFP)的多点记录与独立成分分析(ICA)相结合,能够连续读取功能不同的神经元群体的特定群体活动。我们之前在海马体(单层神经元结构)中成功地使用了这种技术。在这里,我们提供了数值证据,表明其他脑结构的细胞构筑复杂性不会影响 ICA 分离的 LFP 分量的价值,只要 LFP 的空间采样具有代表性。由于神经元集合的折叠和多层结构,LFP 分量的空间分布可能非常复杂。然而,每个 LFP 分量的时间过程仍然是由同源传入群体发射的尖峰可靠的突触后卷积。这一说法得到了在清醒猴子的外侧膝状体中获得的初步实验数据的支持。