Modulation of network behaviour by changes in variance in interneuronal properties
Modulation of network behaviour by changes in variance in interneuronal properties
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DOI：
10.1113/jphysiol.2001.013054
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发表时间：
2002-01-01
影响因子：
5.5
通讯作者：
Soltesz, I
中科院分区：
文献类型：
--
作者：
Aradi, I;Soltesz, I
中间神经元是神经元网络的重要调节因子。传统的方法是集中在各种参数的平均值的interneurons。在这里，我们测试的假设，即变化的方差神经元间的属性（例如，在分散的程度周围的人口平均值的个别细胞的参数值）可能会修改网络的行为。基于生物学的主细胞和interneurons的多房室模型表明，变化的差异，在电生理和解剖特性的interneurons显着改变的输入输出功能，节奏和同步的主细胞，即使平均值不变。在大多数情况下，增加interneurons的异质性导致更强的抑制主细胞放电，但是，有参数范围内增加interneurons的方差降低抑制主细胞。电生理记录显示，CA1层oriens interneurons的静息膜电位的变化持续增加后，实验复杂的热性惊厥在发展中的大鼠，没有平均静息膜电位的变化，表明持久的改变interneurons异质性可以发生在真实的神经元系统。这些计算和实验数据表明，在interneuronal群体方差的修改影响神经元网络的行为，并建议interneuronal多样性的生理作用。此外，这些结果表明，神经元间的异质性可以在神经系统疾病中改变，并提高了神经调节剂可能通过调节神经元间群体中关键参数的变化而起作用的可能性。
Interneurones are important regulators of neuronal networks. The conventional approach to interneurones is to focus on the mean values of various parameters. Here we tested the hypothesis that changes in the variance of interneuronal properties (e.g. in the degree of scattering of parameter values of individual cells around the population mean) may modify the behaviour of networks. Biophysically based multicompartmental models of principal cells and interneurones showed that changes in the variance in the electrophysiological and anatomical properties of interneurones significantly alter the input-output functions, rhythmicity and synchrony of principal cells, even if the mean values were unchanged. In most cases, increased heterogeneity in interneurones resulted in stronger inhibition of principal cell firing; however, there were parameter ranges where increased interneuronal variance decreased the inhibition of principal cells. Electrophysiological recordings showed that the variance in the resting membrane potential of CA1 stratum oriens interneurones persistently increased following experimental complex febrile seizures in developing rats, without a change in the mean resting membrane potential, indicating that lasting alterations in interneuronal heterogeneity can take place in real neuronal systems. These computational and experimental data demonstrate that modifications in interneuronal population variance influence the behaviour of neuronal networks, and suggest a physiological role for interneuronal diversity. Furthermore, the results indicate that interneuronal heterogeneity can change in neurological diseases, and raise the possibility that neuromodulators may act by regulating the variance of key parameters in interneuronal populations.