Thuma Jeff B, Hooper Scott L
Neuroscience Program, Department of Biological Sciences, Ohio University, Athens, Ohio 45701, USA.
J Neurophysiol. 2002 May;87(5):2372-84. doi: 10.1152/jn.2002.87.5.2372.
It has long been known that gastric mill network activity (cycle period 5-10 s) alters pyloric network output (cycle period approximately 1 s), but these effects have not been quantified. Many pyloric muscles extract gastric mill timed variations in pyloric motor neuron firing, and consequently produce gastric mill timed movements even though no gastric mill neurons innervate them. Determining pyloric behavior therefore requires detailed description of gastric mill effects on pyloric neural output. Pyloric muscle activity correlates well with motor neuron overall spike frequency (OSF, burst spike number divided by cycle period). We quantified OSF variation of all pyloric neurons as a function of time into the gastric mill cycle [as measured from the beginning of Gastric Mill (GM) neuron bursts] in the lobster, Panulirus interruptus. No repeating pattern within individual gastric mill cycles of Lateral Pyloric (LP) and Ventricular Dilator (VD) neuron OSF was visually apparent. Averaged data showed that VD and LP neuron OSF decreased (approximately 0.5 and 1.5 Hz, respectively) at the beginning of each gastric mill cycle. Visually apparent patterns of OSF waxing and waning within each gastric mill cycle were present for the Inferior Cardiac (IC), Pyloric Dilator (PD), and Pyloric (PY) neurons. However, when averaged as a function of phase or delay in the gastric mill cycle, the average changes were smaller than those in individual gastric mill cycles because when the OSF variations occurred varied considerably in different gastric mill cycles. We therefore used a "pattern-based" analysis in which an identifying characteristic of each neuron's repeating OSF variation pattern was defined as pattern pyloric cycle zero. The pyloric cycles in each repetition of the OSF variation pattern were numbered relative to the zero cycle, and averaged to create an average OSF variation profile. The zero cycle delays relative to GM neuron burst beginning were then averaged to determine when in the gastric mill cycle the profile occurred. This technique preserved the full extent of pyloric neuron OSF changes. Maximum PY neuron OSF occurred within the GM neuron burst, whereas maximum IC and PD neuron OSF occurred during the GM neuron interburst interval. Despite these changes, pyloric cycling did not phase lock with gastric mill activity, nor were an integer number of pyloric cycles present in each gastric mill cycle. In addition to providing data necessary to predict pyloric movement, this work shows how pattern-based analysis can successfully quantify interactions between nonphase-locked networks.
长期以来,人们一直知道胃磨网络活动(周期为5 - 10秒)会改变幽门网络输出(周期约为1秒),但这些影响尚未得到量化。许多幽门肌肉提取胃磨定时变化对幽门运动神经元放电的影响,因此即使没有胃磨神经元支配它们,也会产生胃磨定时运动。因此,确定幽门行为需要详细描述胃磨对幽门神经输出的影响。幽门肌肉活动与运动神经元的总体放电频率(OSF,爆发放电数除以周期)密切相关。我们在龙虾Panulirus interruptus中,将所有幽门神经元的OSF变化量化为胃磨周期内时间的函数[从胃磨(GM)神经元爆发开始测量]。在外侧幽门(LP)和心室扩张肌(VD)神经元的单个胃磨周期内,没有明显的重复模式。平均数据显示,在每个胃磨周期开始时,VD和LP神经元的OSF下降(分别约为0.5和1.5 Hz)。在下心脏(IC)、幽门扩张肌(PD)和幽门(PY)神经元的每个胃磨周期内,存在明显的OSF增减模式。然而,当作为胃磨周期中的相位或延迟的函数进行平均时,平均变化小于单个胃磨周期中的变化,因为不同胃磨周期中OSF变化发生的时间差异很大。因此,我们使用了一种“基于模式”的分析方法,其中将每个神经元重复的OSF变化模式的识别特征定义为模式幽门周期零。OSF变化模式每次重复中的幽门周期相对于零周期进行编号,并进行平均以创建平均OSF变化曲线。然后将相对于GM神经元爆发开始的零周期延迟进行平均,以确定该曲线在胃磨周期中的出现时间。该技术保留了幽门神经元OSF变化的全部范围。PY神经元的最大OSF出现在GM神经元爆发期间,而IC和PD神经元的最大OSF出现在GM神经元爆发间隔期间。尽管有这些变化,幽门循环并未与胃磨活动锁相,并且每个胃磨周期中也不存在整数个幽门周期。除了提供预测幽门运动所需的数据外,这项工作还展示了基于模式的分析如何成功量化非锁相网络之间的相互作用。