High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification
High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification
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DOI：
10.1152/jn.00680.2018
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发表时间：
2019-05-01
影响因子：
2.5
通讯作者：
Olsen, Shawn R.
中科院分区：
文献类型：
--
作者：
Jia, Xiaoxuan;Siegle, Joshua H.;Olsen, Shawn R.
不同的神经元类型在神经处理中扮演不同的角色。细胞外电记录被广泛用于研究大脑功能，但通常对细胞身份视而不见。在空间密集的电极阵列上测量的神经元的形态电特性具有区分神经元类型的潜力。我们使用高密度硅探针记录小鼠大脑皮层和皮层下区域。每个神经元的细胞外波形在许多通道中被检测到，并且在脑区域之间显示出不同的时空轮廓。与单通道波形相比，多通道波形改善了按脑区域对神经元的分类。在视觉皮层中，无监督聚类确定了典型的规则尖峰（RS）和快速尖峰（FS）类，但也表明了一个子类的RS单位与单向反向传播动作电位（BAP）。此外，在许多海马RS细胞中观察到BAPs。总的来说，高密度探针的尖峰波形分析有助于神经元识别，并可以揭示树突反向传播。新&值得注意的是，在体内用细胞外电生理学识别神经元类型具有挑战性。我们发现，在高密度电极阵列上测量的时空动作电位可以捕获细胞类型特异性的形态电特性，从而可以对大脑结构和皮层内的神经元进行分类。此外，反向传播动作电位可靠地检测在体内从皮质和海马神经元的亚群。总之，这些结果增强了密集的细胞外电生理学用于脑网络功能的细胞型询问的效用。
Different neuron types serve distinct roles in neural processing. Extracellular electrical recordings are extensively used to study brain function but are typically blind to cell identity. Morphoelectrical properties of neurons measured on spatially dense electrode arrays have the potential to distinguish neuron types. We used high-density silicon probes to record from cortical and subcortical regions of the mouse brain. Extracellular waveforms of each neuron were detected across many channels and showed distinct spatiotemporal profiles among brain regions. Classification of neurons by brain region was improved with multichannel compared with single-channel waveforms. In visual cortex, unsupervised clustering identified the canonical regular-spiking (RS) and fast-spiking (FS) classes but also indicated a subclass of RS units with unidirectional backpropagating action potentials (BAPs). Moreover, BAPs were observed in many hippocampal RS cells. Overall, waveform analysis of spikes from high-density probes aids neuron identification and can reveal dendritic backpropagation.NEW & NOTEWORTHY It is challenging to identify neuron types with extracellular electrophysiology in vivo. We show that spatiotemporal action potentials measured on high-density electrode arrays can capture cell type-specific morphoelectrical properties, allowing classification of neurons across brain structures and within the cortex. Moreover, backpropagating action potentials are reliably detected in vivo from subpopulations of cortical and hippocampal neurons. Together, these results enhance the utility of dense extracellular electrophysiology for cell-type interrogation of brain network function.