Department of Biomedical Engineering, School of Medicine, Emory University/Georgia Institute of Technology, 615 Michael St., Atlanta, GA 30322, USA.
J Neurophysiol. 2010 Jan;103(1):490-8. doi: 10.1152/jn.00622.2009. Epub 2009 Nov 18.
Spinal cord sympathetic preganglionic neurons (SPNs) integrate activity from descending and sensory systems to determine the final central output of the sympathetic nervous system. The intermediolateral column (IML) has the highest number and density of SPNs and, within this region, SPN somas are found in distinct clusters within thoracic and upper lumbar spinal segments. Whereas SPNs exhibit a rostrocaudal gradient of end-target projections, individual clusters contain SPNs with diverse functional roles. Here we explored diversity in the electrophysiological properties observed in Hb9-eGFP-identified SPNs in the IML of neonatal mice. Overall, mouse SPN intrinsic membrane properties were comparable with those seen in other species. A wide range of values was obtained for all measured properties (up to a 10-fold difference), suggesting that IML neurons are highly differentiated. Using linear regression we found strong correlations between many cellular properties, including input resistance, rheobase, time constant, action potential shape, and degree of spike accommodation. The best predictor of cell function was rheobase, which correlated well with firing frequency-injected current (f-I) slopes as well as other passive and active membrane properties. The range in rheobase suggests that IML neurons have a recruitment order with stronger synaptic drives required for maximal recruitment. Using cluster analysis, we identified at least four subpopulations of SPNs, including one with a long time constant, low rheobase, and high f-I gain. We thus propose that the IML contains populations of neurons that are differentiable by their membrane properties and hypothesize they represent diverse functional classes.
脊髓交感节前神经元 (SPN) 整合来自下行和感觉系统的活动,以确定交感神经系统的最终中枢输出。中间外侧柱 (IML) 拥有最多数量和密度的 SPN,并且在该区域内,SPN 体位于胸段和上腰段的不同簇内。虽然 SPN 表现出终末靶点投射的头尾梯度,但单个簇包含具有不同功能作用的 SPN。在这里,我们探索了在新生小鼠 IML 中 Hb9-eGFP 鉴定的 SPN 中观察到的电生理特性的多样性。总体而言,小鼠 SPN 内在膜特性与其他物种中观察到的特性相当。所有测量特性(高达 10 倍的差异)都获得了广泛的数值,表明 IML 神经元高度分化。使用线性回归,我们发现许多细胞特性之间存在很强的相关性,包括输入电阻、阈值、时间常数、动作电位形状和尖峰适应程度。细胞功能的最佳预测因子是阈值,它与放电频率注入电流 (f-I) 斜率以及其他被动和主动膜特性很好地相关。阈值的范围表明 IML 神经元具有募集顺序,需要更强的突触驱动来实现最大募集。使用聚类分析,我们确定了至少四个 SPN 亚群,包括一个具有长时间常数、低阈值和高 f-I 增益的亚群。因此,我们提出 IML 包含可通过其膜特性区分的神经元群体,并假设它们代表不同的功能类别。