On the synchrony of steady state visual evoked potentials and oscillatory burst events

In this paper, we investigate the large-scale synchrony of EEG oscillatory bursts, during stimulation by a flickering square of light. Whereas most studies focus on averaged raw EEG responses, this study considers oscillatory events within EEG of single trials, which leads to various new insights. We recorded EEG signals before, during and after stimulation by a flickering square of light in medium (16 Hz) and high frequency (32 Hz) ranges. Similar oscillatory bursts, to those observed in spontaneous EEG, can be found in single-trial synchrony of steady state visual evoked potentials (SSVEP). These bursts are extracted from the EEG of single trials using bump modeling. Stochastic event synchrony method is applied to those events, which quantifies synchronies of oscillatory bursts on a large-scale basis. Those oscillatory patterns have a significantly higher degree of co-occurrence during SSVEP, uncorrelated with ongoing signal synchrony. It means that EEG oscillatory patterns are presumably an outcome of brain activity, rather than a mere side effect of ongoing EEG. They undergo a consistent reorganization during visual stimulation, preferentially along the visual pathway, depending on magno or parvo stimulations. Flickering stimuli may induce some cognitive side-effects depending on the stimulation frequency.

[1]  D. Regan Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine , 1989 .

[2]  Karl J. Friston,et al.  How Many Subjects Constitute a Study? , 1999, NeuroImage.

[3]  Andrzej Cichocki,et al.  A Novel Measure for Synchrony and its Application to Neural Signals , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[4]  Walter J. Freeman,et al.  Origin, structure, and role of background EEG activity. Part 3. Neural frame classification , 2005, Clinical Neurophysiology.

[5]  K. Lehnertz,et al.  Nonlinear denoising of transient signals with application to event-related potentials , 2000, physics/0001069.

[6]  R. Silberstein,et al.  Steady-state visual evoked potentials and travelling waves , 2000, Clinical Neurophysiology.

[7]  A. Keil,et al.  Neural mechanisms of evoked oscillations: Stability and interaction with transient events , 2007, Human brain mapping.

[8]  Andrzej Cichocki,et al.  Measuring Neural Synchrony by Message Passing , 2007, NIPS.

[9]  Steven Lemm,et al.  A novel mechanism for evoked responses in the human brain , 2008 .

[10]  A Z Snyder,et al.  Steady-state vibration evoked potentials: descriptions of technique and characterization of responses. , 1992, Electroencephalography and clinical neurophysiology.

[11]  Andrzej Cichocki,et al.  Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals , 2009, BMC Neuroscience.

[12]  H. P. Zaveri,et al.  Coherence of the electroencephalogram during the first sleep cycle , 2005, Clinical Neurophysiology.

[13]  Leslie M. Kay,et al.  Olfactory system gamma oscillations: the physiological dissection of a cognitive neural system , 2008, Cognitive Neurodynamics.

[14]  Andrzej Cichocki,et al.  Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans , 2007, Comput. Intell. Neurosci..

[15]  Rémi Gervais,et al.  A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics , 2007, Neural Networks.

[16]  Andrzej Cichocki,et al.  Quantifying Statistical Interdependence by Message Passing on Graphs—Part I: One-Dimensional Point Processes , 2009, Neural Computation.

[17]  Andrzej Cichocki,et al.  EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts , 2008, Physiological measurement.

[18]  A. Cichocki,et al.  An empirical EEG analysis in brain death diagnosis for adults , 2008, Cognitive Neurodynamics.

[19]  R Quian Quiroga,et al.  Wavelet Transform in the analysis of the frequency composition of evoked potentials. , 2001, Brain research. Brain research protocols.

[20]  N. Crone,et al.  Attention to a painful cutaneous laser stimulus modulates electrocorticographic event-related desynchronization in humans , 2004, Clinical Neurophysiology.

[21]  W. Klimesch,et al.  Event-related phase reorganization may explain evoked neural dynamics , 2007, Neuroscience & Biobehavioral Reviews.

[22]  Shogo Tanaka,et al.  Characteristics of alpha wave response to flicker stimuli with color alternation , 2006 .

[23]  Maren Grigutsch,et al.  EEG oscillations and wavelet analysis , 2005 .

[24]  Walter J Freeman,et al.  A cinematographic hypothesis of cortical dynamics in perception. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[25]  Jürgen Kurths,et al.  Order patterns recurrence plots in the analysis of ERP data , 2007, Cognitive Neurodynamics.

[26]  Todd C. Handy,et al.  Event-related potentials : a methods handbook , 2005 .

[27]  J. Martinerie,et al.  The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.

[28]  Marcia Grabowecky,et al.  Attention induces synchronization-based response gain in steady-state visual evoked potentials , 2007, Nature Neuroscience.

[29]  E. Basar,et al.  Oscillatory Brain Dynamics, Wavelet Analysis, and Cognition , 1999, Brain and Language.

[30]  M. Browne,et al.  Low-probability event-detection and separation via statistical wavelet thresholding: an application to psychophysiological denoising , 2002, Clinical Neurophysiology.

[31]  G. Sperling,et al.  Attentional modulation of SSVEP power depends on the network tagged by the flicker frequency. , 2006, Cerebral cortex.

[32]  Willy Wong,et al.  The adaptive chirplet transform and visual evoked potentials , 2006, IEEE Transactions on Biomedical Engineering.

[33]  T W Picton,et al.  Human auditory steady state potentials. , 1984, Ear and hearing.

[34]  Jean-Philippe Lachaux,et al.  The Cambridge Handbook of Consciousness: Neurodynamical Approaches to Consciousness , 2007 .

[35]  Andrzej Cichocki,et al.  Split-test Bonferroni correction for QEEG statistical maps , 2008, Biological Cybernetics.

[36]  Andrzej Cichocki,et al.  Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals , 2005, ICANN.

[37]  E. Thompson,et al.  The Cambridge Handbook of Consciousness , 2007 .

[38]  Andrzej Cichocki,et al.  Oscillatory Event Synchrony During Steady State Visual Evoked Potentials , 2008 .

[39]  Walter J. Freeman,et al.  Origin, structure, and role of background EEG activity. Part 1. Analytic amplitude , 2004, Clinical Neurophysiology.

[40]  A. Benton Laterality: Functional Asymmetry in the Intact Brain. , 1984 .

[41]  W. Singer Consciousness and the Binding Problem , 2001, Annals of the New York Academy of Sciences.

[42]  Michel Le Van Quyen,et al.  Analysis of dynamic brain oscillations: methodological advances , 2007, Trends in Neurosciences.

[43]  J. Fermaglich Electric Fields of the Brain: The Neurophysics of EEG , 1982 .

[44]  E. Ba§ar,et al.  EEG-Brain dynamics: Relation between EEG and brain evoked potentials , 1982 .

[45]  Andrzej Cichocki,et al.  EEG paroxysmal gamma waves during Bhramari Pranayama: A yoga breathing technique , 2009, Consciousness and Cognition.

[46]  J. Pernier,et al.  Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.

[47]  Michel Le Van Quyen,et al.  Disentangling the dynamic core: a research program for a neurodynamics at the large-scale , 2003 .

[48]  E. Harth,et al.  Electric Fields of the Brain: The Neurophysics of Eeg , 2005 .

[49]  Ramesh Srinivasan,et al.  Identification of wave‐like spatial structure in the SSVEP: Comparison of simultaneous EEG and MEG , 2007, Statistics in medicine.

[50]  Karl J. Friston,et al.  Dynamic causal modeling for EEG and MEG , 2009, Human brain mapping.

[51]  D. Spinelli,et al.  Spatiotemporal analysis of the cortical sources of the steady‐state visual evoked potential , 2007, Human brain mapping.

[52]  Z. Zhang,et al.  [Modern spectral estimation of ICP-AES]. , 2000, Guang pu xue yu guang pu fen xi = Guang pu.