EEG, Temporal Correlations, and Avalanches

Epileptiform activity in the EEG is frequently characterized by rhythmic, correlated patterns or synchronized bursts. Long-range temporal correlations (LRTC) are described by power law scaling of the autocorrelation function and have been observed in scalp and intracranial EEG recordings. Synchronous large-amplitude bursts (also called neuronal avalanches) have been observed in local field potentials both in vitro and in vivo. This article explores the presence of neuronal avalanches in scalp and intracranial EEG in the context of LRTC. Results indicate that both scalp and intracranial EEG show LRTC, with larger scaling exponents in scalp recordings than intracranial. A subset of analyzed recordings also show avalanche behavior, indicating that avalanches may be associated with LRTC. Artificial test signals reveal a linear relationship between the scaling exponent measured by detrended fluctuation analysis and the exponent of the avalanche size distribution. Analysis and evaluation of simulated data reveal that preprocessing of EEG (squaring the signal or applying a filter) affect the ability of detrended fluctuation analysis to reliably measure LRTC.

[1]  J. Palva,et al.  Epileptogenic neocortical networks are revealed by abnormal temporal dynamics in seizure-free subdural EEG. , 2007, Cerebral cortex.

[2]  G. Arfken,et al.  Mathematical methods for physicists 6th ed. , 1996 .

[3]  W. Ebeling Stochastic Processes in Physics and Chemistry , 1995 .

[4]  A. Goldberger,et al.  Finite-size effects on long-range correlations: implications for analyzing DNA sequences. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[5]  Brian Litt,et al.  Evidence for self-organized criticality in human epileptic hippocampus , 2002, Neuroreport.

[6]  John M. Beggs,et al.  Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.

[7]  V. Torre,et al.  On the Dynamics of the Spontaneous Activity in Neuronal Networks , 2007, PloS one.

[8]  D. Sherrington Stochastic Processes in Physics and Chemistry , 1983 .

[9]  H. Stanley,et al.  Effect of nonlinear filters on detrended fluctuation analysis. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  G. Arfken Mathematical Methods for Physicists , 1967 .

[11]  Mark E. J. Newman,et al.  Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[12]  K. Linkenkaer-Hansen,et al.  Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.

[13]  B. Mandelbrot A Fast Fractional Gaussian Noise Generator , 1971 .

[14]  B. Litt,et al.  Long-range temporal correlations in epileptogenic and non-epileptogenic human hippocampus , 2004, Neuroscience.

[15]  Jeffrey D. Scargle,et al.  Fractal-Based Point Processes , 2007, Technometrics.

[16]  J. M. Herrmann,et al.  Dynamical synapses causing self-organized criticality in neural networks , 2007, 0712.1003.

[17]  M. Alegre,et al.  Influence of filters in the detrended fluctuation analysis of digital electroencephalographic data , 2008, Journal of Neuroscience Methods.

[18]  Marc Benayoun,et al.  Avalanches in a Stochastic Model of Spiking Neurons , 2010, PLoS Comput. Biol..

[19]  D. Plenz,et al.  Spontaneous cortical activity in awake monkeys composed of neuronal avalanches , 2009, Proceedings of the National Academy of Sciences.

[20]  Guideline Thirteen: Guidelines for Standard Electrode Position Nomenclature , 1994, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.