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皮质电信号的波数谱

Wave-number spectrum of electrocorticographic signals.

作者信息

O'Connor S C, Robinson P A

机构信息

School of Physics, University of Sydney, and Brain Dynamics Center, Westmead Hospital and University of Sydney, Westmead, New South Wales, Australia.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2003 May;67(5 Pt 1):051912. doi: 10.1103/PhysRevE.67.051912. Epub 2003 May 16.

Abstract

A physiologically based continuum model of corticothalamic electrodynamics is generalized and used to derive the theoretical form of the electrocorticographic (ECoG) wave-number spectrum. A one-dimensional projection of the spectrum is derived, as is the azimuthally averaged two-dimensional spectrum for isotropic and anisotropic cortices. The predicted spectra are found to consist of a low-k plateau followed by three regions of power-law decrease, which result from filtering of the electrical activity through physical structures at different scales in the cortex. The magnitude of the maximum theoretical power-law exponent is larger for the two-dimensional (2D) spectrum than for its 1D counterpart. The predicted spectra agree well with experimental data obtained from 1D and 2D recording arrays on the cortical surface, enabling the structures in the brain that are important in determining spatial cortical dynamics to be identified. The cortical dispersion relation predicted by our model is also investigated, providing insight into the relationships between temporal and spatial brain dynamics.

摘要

基于生理学的皮质丘脑电动力学连续模型得到推广,并用于推导脑电(ECoG)波数谱的理论形式。推导了谱的一维投影,以及各向同性和各向异性皮质的方位平均二维谱。发现预测的谱由一个低波数平台和三个幂律下降区域组成,这是由于电活动通过皮质中不同尺度的物理结构进行滤波所致。二维(2D)谱的最大理论幂律指数的大小大于其一维对应物。预测的谱与从皮质表面的一维和二维记录阵列获得的实验数据吻合良好,从而能够识别大脑中对确定空间皮质动力学重要的结构。还研究了我们模型预测的皮质色散关系,从而深入了解时间和空间脑动力学之间的关系。

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