Bédard Claude, Destexhe Alain
Integrative and Computational Neuroscience Unit (UNIC ), Centre National de la Recherche Scientifique, Gif-sur-Yvette, France.
Biophys J. 2009 Apr 8;96(7):2589-603. doi: 10.1016/j.bpj.2008.12.3951.
The power spectrum of local field potentials (LFPs) has been reported to scale as the inverse of the frequency, but the origin of this 1/f noise is at present unclear. Macroscopic measurements in cortical tissue demonstrated that electric conductivity (as well as permittivity) is frequency-dependent, while other measurements failed to evidence any dependence on frequency. In this article, we propose a model of the genesis of LFPs that accounts for the above data and contradictions. Starting from first principles (Maxwell equations), we introduce a macroscopic formalism in which macroscopic measurements are naturally incorporated, and also examine different physical causes for the frequency dependence. We suggest that ionic diffusion primes over electric field effects, and is responsible for the frequency dependence. This explains the contradictory observations, and also reproduces the 1/f power spectral structure of LFPs, as well as more complex frequency scaling. Finally, we suggest a measurement method to reveal the frequency dependence of current propagation in biological tissue, and which could be used to directly test the predictions of this formalism.
据报道,局部场电位(LFP)的功率谱按频率的倒数缩放,但目前这种1/f噪声的起源尚不清楚。在皮质组织中的宏观测量表明,电导率(以及电容率)是频率依赖性的,而其他测量未能证明对频率有任何依赖性。在本文中,我们提出了一个LFP产生的模型,该模型考虑了上述数据和矛盾之处。从第一原理(麦克斯韦方程)出发,我们引入了一种宏观形式,其中自然地纳入了宏观测量,并研究了频率依赖性的不同物理原因。我们认为离子扩散优先于电场效应,并对频率依赖性负责。这解释了相互矛盾的观察结果,还再现了LFP的1/f功率谱结构以及更复杂的频率缩放。最后,我们提出了一种测量方法,以揭示生物组织中电流传播的频率依赖性,该方法可用于直接检验这种形式主义的预测。