Bayesian Modeling of the Dynamics of Phase Modulations and their Application to Auditory Event Related Potentials at Different Loudness Scales

We study the effect of long-term habituation signatures of auditory selective attention reflected in the instantaneous phase information of the auditory event-related potentials (ERPs) at four distinct stimuli levels of 60, 70, 80, and 90 dB SPL. The analysis is based on the single-trial level. The effect of habituation can be observed in terms of the changes (jitter) in the instantaneous phase information of ERPs. In particular, the absence of habituation is correlated with a consistently high phase synchronization over ERP trials. We estimate the changes in phase concentration over trials using a Bayesian approach, in which the phase is modeled as being drawn from a von Mises distribution with a concentration parameter which varies smoothly over trials. The smoothness assumption reflects the fact that habituation is a gradual process. We differentiate between different stimuli based on the relative changes and absolute values of the estimated concentration parameter using the proposed Bayesian model.

[1]  Guido F. Smoorenburg,et al.  Speech Perception in Nucleus CI24M Cochlear Implant Users with Processor Settings Based on Electrically Evoked Compound Action Potential Thresholds , 2002, Audiology and Neurotology.

[2]  Franz X. Vollenweider,et al.  Stability of the acoustic startle reflex, prepulse inhibition, and habituation in schizophrenia , 2002, Schizophrenia Research.

[3]  D. Dewsbury,et al.  The Principles of Learning and Behavior. , 1982 .

[4]  W. Klimesch,et al.  Are event-related potential components generated by phase resetting of brain oscillations? A critical discussion , 2007, Neuroscience.

[5]  Donald A. Wilson,et al.  Habituation revisited: An updated and revised description of the behavioral characteristics of habituation , 2009, Neurobiology of Learning and Memory.

[6]  Gabriele Steidl,et al.  Exploiting the Self-Similarity in ERP Images by Nonlocal Means for Single-Trial Denoising , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  J. Schoenen.  Cortical electrophysiology in migraine and possible pathogenetic implications. , 1998, Clinical neuroscience.

[8]  Sung Yong Shin,et al.  On pixel-based texture synthesis by non-parametric sampling , 2006, Comput. Graph..

[9]  Charles H. Brown,et al.  The Influence of Natural Scene Dynamics on Auditory Cortical Activity , 2010, The Journal of Neuroscience.

[10]  C. Elger,et al.  Habituation of auditory evoked potentials in intracranial and extracranial recordings. , 2006, Psychophysiology.

[11]  R. Barry.  Evoked activity and EEG phase resetting in the genesis of auditory Go/NoGo ERPs , 2009, Biological Psychology.

[12]  Febo Cincotti,et al.  Human brain oscillatory activity phase‐locked to painful electrical stimulations: A multi‐channel EEG study , 2002, Human brain mapping.

[13]  S. Rosen.  Temporal information in speech: acoustic, auditory and linguistic aspects. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[14]  S. R. Jammalamadaka,et al.  Topics in Circular Statistics , 2001 .

[15]  C. M. Anderson,et al.  Experimental studies on the uncomfortable loudness level. , 1971, Journal of Speech and Hearing Research.

[16]  J. D. Hood,et al.  Tolerable limit of loudness: its clinical and physiological significance. , 1966 .

[17]  R. Pietrowsky,et al.  Habituation deficit in auditory event-related potentials in tinnitus complainers , 2003, Hearing Research.

[18]  D. Strauss,et al.  A performance study of the wavelet-phase stability (WPS) in auditory selective attention , 2011, Brain Research Bulletin.

[19]  Assessment of aversive stimuli dependent attentional binding by the N170 VEP component , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[20]  R. VanRullen,et al.  The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.

[21]  Richard F. Thompson.  Habituation: A history , 2009, Neurobiology of Learning and Memory.

[22]  W James,et al.  New Handbook Of Auditory Evoked Responses >>>CLICK HERE<<< , 2007 .

[23]  S. Hillyard,et al.  Electrical Signs of Selective Attention in the Human Brain , 1973, Science.

[24]  W D Keidel,et al.  An investigation of the human cortical evoked potential under conditions of monaural and binaural stimulation. , 1969, Acta oto-laryngologica.

[25]  A. Bruns.  Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches? , 2004, Journal of Neuroscience Methods.

[26]  P. Falkai,et al.  Objective Quantification of the Tinnitus Decompensation by Synchronization Measures of Auditory Evoked Single Sweeps , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[27]  Thomas Grunwald,et al.  Neural Bases of Cognitive ERPs: More than Phase Reset , 2004, Journal of Cognitive Neuroscience.

[28]  F. I. Corona-Strauss,et al.  Assessment of Long-Term Habituation Correlates in Event-Related Potentials Using a von Mises Model , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[29]  D. Strauss,et al.  A performance study of the wavelet-phase stability in the quantification of neural correlates of auditory selective attention , 2011, 2011 5th International IEEE/EMBS Conference on Neural Engineering.

[30]  J. D. Hood,et al.  Tolerable limit of loudness: its clinical and physiological significance. , 1966, The Journal of the Acoustical Society of America.

[31]  Mai Mariam,et al.  Comparing the habituation of late auditory evoked potentials to loud and soft sound , 2009, Physiological measurement.

[32]  Nicholas I. Fisher,et al.  Statistical Analysis of Circular Data , 1993 .

[33]  D. Knill,et al.  The Bayesian brain: the role of uncertainty in neural coding and computation , 2004, Trends in Neurosciences.

[34]  A. Ohman,et al.  Selective attention and "habituation" of the auditory averaged evoked response in humans. , 1972, Physiology & behavior.

[35]  M. Domjan.  The principles of learning and behavior , 1982 .