Spontaneous brain activity as a source of ideal 1/f noise.

Abstract

We study the electroencephalogram (EEG) of 30 closed-eye awake subjects with a technique of analysis recently proposed to detect punctual events signaling rapid transitions between different metastable states. After single-EEG-channel event detection, we study global properties of events simultaneously occurring among two or more electrodes termed coincidences. We convert the coincidences into a diffusion process with three distinct rules that can yield the same mu only in the case where the coincidences are driven by a renewal process. We establish that the time interval between two consecutive renewal events driving the coincidences has a waiting-time distribution with inverse power-law index mu approximately 2 corresponding to ideal 1/f noise. We argue that this discovery, shared by all subjects of our study, supports the conviction that 1/f noise is an optimal communication channel for complex networks as in art or language and may therefore be the channel through which the brain influences complex processes and is influenced by them.

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Cite this paper

@article{Allegrini2009SpontaneousBA, title={Spontaneous brain activity as a source of ideal 1/f noise.}, author={Paolo Allegrini and Danilo Menicucci and Remo Bedini and Leone Fronzoni and Angelo Gemignani and Paolo Grigolini and Bruce J. West and Paolo Paradisi}, journal={Physical review. E, Statistical, nonlinear, and soft matter physics}, year={2009}, volume={80 6 Pt 1}, pages={061914} }