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通过网络相互作用和细胞外特征对新皮层主细胞和中间神经元进行表征。

Characterization of neocortical principal cells and interneurons by network interactions and extracellular features.

作者信息

Barthó Peter, Hirase Hajime, Monconduit Lenaïc, Zugaro Michael, Harris Kenneth D, Buzsáki György

机构信息

Center for Molecular and Behavioral Neuroscience, Rutgers, The State University of New Jersey, 197 University Ave., Newark, NJ 07102, USA.

出版信息

J Neurophysiol. 2004 Jul;92(1):600-8. doi: 10.1152/jn.01170.2003. Epub 2004 Mar 31.

Abstract

Most neuronal interactions in the cortex occur within local circuits. Because principal cells and GABAergic interneurons contribute differently to cortical operations, their experimental identification and separation is of utmost important. We used 64-site two-dimensional silicon probes for high-density recording of local neurons in layer 5 of the somatosensory and prefrontal cortices of the rat. Multiple-site monitoring of units allowed for the determination of their two-dimensional spatial position in the brain. Of the approximately 60,000 cell pairs recorded, 0.2% showed robust short-term interactions. Units with significant, short-latency (<3 ms) peaks following their action potentials in their cross-correlograms were characterized as putative excitatory (pyramidal) cells. Units with significant suppression of spiking of their partners were regarded as putative GABAergic interneurons. A portion of the putative interneurons was reciprocally connected with pyramidal cells. Neurons physiologically identified as inhibitory and excitatory cells were used as templates for classification of all recorded neurons. Of the several parameters tested, the duration of the unfiltered (1 Hz to 5 kHz) spike provided the most reliable clustering of the population. High-density parallel recordings of neuronal activity, determination of their physical location and their classification into pyramidal and interneuron classes provide the necessary tools for local circuit analysis.

摘要

皮质中的大多数神经元相互作用发生在局部回路中。由于主细胞和γ-氨基丁酸能中间神经元对皮质活动的贡献不同,对它们进行实验性识别和分离至关重要。我们使用64位点二维硅探针,对大鼠体感皮质和前额叶皮质第5层中的局部神经元进行高密度记录。对多个位点的单位进行监测,可以确定它们在大脑中的二维空间位置。在记录的大约60,000对细胞中,0.2%表现出强烈的短期相互作用。在互相关图中,其动作电位后具有显著的、短潜伏期(<3毫秒)峰值的单位被表征为假定的兴奋性(锥体)细胞。其伙伴的放电受到显著抑制的单位被视为假定的γ-氨基丁酸能中间神经元。一部分假定的中间神经元与锥体细胞相互连接。生理上被确定为抑制性和兴奋性细胞的神经元被用作所有记录神经元分类的模板。在测试的几个参数中,未滤波(1赫兹至5千赫兹)尖峰的持续时间为群体提供了最可靠的聚类。神经元活动的高密度并行记录、它们物理位置的确定以及它们被分类为锥体神经元和中间神经元类别,为局部回路分析提供了必要的工具。

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