Scaling Properties of Fluctuations in Human Electroencephalogram

Abstract

The fluctuation properties of the human electroencephalogram (EEG) time series are studied using detrended fluctuation analysis. For all 128 channels in each of 18 subjects studied, it is found that the standard deviation of the fluctuations exhibits scaling behaviors in two regions. Topographical plots of the scaling exponents reveal the spatial structure of the nonlinear electrical activities recorded on the scalp. Moment analyses are performed to extract the gross features of all the scaling exponents. The correlation between the two scaling exponents in each channel is also examined. It is found that two indices can characterize the overall properties of the fluctuation behaviors of the brain dynamics for every subject and that they vary widely across the subjects.

5 pages in RevTeX + 10 ps figures

Cited by in corpus (9)

• Dynamics of Snoring Sounds and Its Connection with Obstructive Sleep Apnea
• On the coherent behavior of pancreatic beta cell clusters
• Scale-invariance of human EEG signals in sleep
• Critical Fluctuation of Wind Reversals in Convective Turbulence
• Review of Nonlinear Methods and Modelling
• Scaling of the Background Brain Dynamics and Alpha Rhythm
• Microstructure identification via detrended fluctuation analysis of ultrasound signals
• Coherent states, fractals and brain waves
• Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media