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豚鼠三叉神经节神经元膜特性的定量分析。

Quantification of membrane properties of trigeminal root ganglion neurons in guinea pigs.

作者信息

Puil E, Gimbarzevsky B, Miura R M

出版信息

J Neurophysiol. 1986 May;55(5):995-1016. doi: 10.1152/jn.1986.55.5.995.

Abstract

Passive and active (voltage- and time-dependent) membrane properties of trigeminal root ganglion neurons of decerebrate guinea pigs have been determined using frequency-domain analyses of small-amplitude perturbations of membrane voltage. The complex impedance functions of trigeminal ganglion neurons were computed from the ratios of the fast Fourier transforms of the intracellularly recorded voltage response from the neuron and of the input current, which had a defined oscillatory waveform. The impedance magnitude functions and corresponding impedance locus diagrams were fitted with various membrane models such that the passive and active properties were quantified. The complex impedances of less than one-quarter of the 105 neurons which were investigated extensively could be described by the complex impedance function for a simple RC-electrical circuit. In such neurons, the voltage responses to constant-current pulses, using conventional bridge-balance techniques, could be fitted with single exponential curves, also suggesting passive membrane behavior. A nonlinear least-squares fit of the complex impedance function for the simple model to the experimentally observed complex impedance yielded estimates of the resistance of the electrode, and of input capacitance (range, 56 to 490 pF) and input resistance (range, 0.8 to 30 M omega) of the neurons. The majority of trigeminal ganglion neurons were characterized by a resonance in the 50- to 250-Hz bandwidth of their impedance magnitude functions. Such neurons when injected with "large" hyperpolarizing current pulses using bridge-balance techniques showed membrane voltage responses that "sagged" (time-dependent rectification). Also, repetitive firing commonly occurred with depolarizing current pulses; this characteristic of neurons with resonance in their impedance magnitude functions was not observed in neurons with "purely" passive membrane behavior. A nonlinear least-squares fit of a five-parameter impedance fitting function based on a membrane model to the impedance locus diagram of a neuron with resonance yielded estimates of its membrane properties: input capacitance, the time-invariant part of the conductance, the conductance activated by the small oscillatory input current, and the relaxation time constant for this conductance. The ranges of the estimates for input capacitance and input resistance were comparable to the ranges of corresponding properties derived for neurons exhibiting "purely" passive behavior.(ABSTRACT TRUNCATED AT 400 WORDS)

摘要

利用膜电压小幅度扰动的频域分析,已确定了去大脑豚鼠三叉神经根神经节神经元的被动和主动(电压和时间依赖性)膜特性。三叉神经节神经元的复阻抗函数是根据细胞内记录的神经元电压响应与具有确定振荡波形的输入电流的快速傅里叶变换之比计算得出的。阻抗幅值函数和相应的阻抗轨迹图用各种膜模型进行拟合,从而对被动和主动特性进行量化。在广泛研究的105个神经元中,不到四分之一的神经元的复阻抗可用简单RC电路的复阻抗函数来描述。在这类神经元中,使用传统的桥平衡技术,对恒定电流脉冲的电压响应可用单指数曲线拟合,这也表明其膜具有被动行为。将简单模型的复阻抗函数进行非线性最小二乘拟合,以实验观察到的复阻抗,可得出电极电阻以及神经元输入电容(范围为56至490皮法)和输入电阻(范围为0.8至30兆欧)的估计值。大多数三叉神经节神经元的特征是其阻抗幅值函数在50至250赫兹带宽内出现共振。使用桥平衡技术向这类神经元注入“大”的超极化电流脉冲时,膜电压响应会出现“下垂”(时间依赖性整流)。此外,去极化电流脉冲通常会引发重复放电;在具有“纯”被动膜行为的神经元中未观察到这种在阻抗幅值函数中具有共振的神经元特征。基于膜模型的五参数阻抗拟合函数对具有共振的神经元的阻抗轨迹图进行非线性最小二乘拟合,可得出其膜特性的估计值:输入电容、电导率的时间不变部分、由小振荡输入电流激活的电导率以及该电导率的弛豫时间常数。输入电容和输入电阻估计值的范围与表现出“纯”被动行为的神经元相应特性的范围相当。(摘要截于400字)

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