Power-Law Scaling in the Brain Surface Electric Potential

Recent studies have identified broadband phenomena in the electric potentials produced by the brain. We report the finding of power-law scaling in these signals using subdural electrocorticographic recordings from the surface of human cortex. The power spectral density (PSD) of the electric potential has the power-law form P(f)similar to Af = (chi) from 80 to 500 Hz. This scaling index, chi = 4.0 +/- 0.1, is conserved across subjects, area in the cortex, and local neural activity levels. The shape of the PSD does not change with increases in local cortical activity, but the amplitude, A, increases. We observe a knee in the spectra at f(0) similar or equal to 75Hz, implying the existence of a characteristic time scale tau = (2 pi f(0))(-1) similar or equal to 2-4ms. Below f(0), we explore two-power-law forms of the PSD, and demonstrate that there are activity-related fluctuations in the amplitude of a power-law process lying beneath the alpha/beta rhythms. Finally, we illustrate through simulation how, small-scale, simplified neuronal models could lead to these power-law observations. This suggests a new paradigm of non-oscillatory asynchronous, scale-free, changes in cortical potentials, corresponding to changes in mean population-averaged firing rate, to complement the prevalent synchronous rhythm-based paradigm.