Least-squares (LS) deconvolution of a series of overlapping cortical auditory evoked potentials: a simulation and experimental study

OBJECTIVE To evaluate the viability of disentangling a series of overlapping 'cortical auditory evoked potentials' (CAEPs) elicited by different stimuli using least-squares (LS) deconvolution, and to assess the adaptation of CAEPs for different stimulus onset-asynchronies (SOAs). APPROACH Optimal aperiodic stimulus sequences were designed by controlling the condition number of matrices associated with the LS deconvolution technique. First, theoretical considerations of LS deconvolution were assessed in simulations in which multiple artificial overlapping responses were recovered. Second, biological CAEPs were recorded in response to continuously repeated stimulus trains containing six different tone-bursts with frequencies 8, 4, 2, 1, 0.5, 0.25 kHz separated by SOAs jittered around 150 (120-185), 250 (220-285) and 650 (620-685) ms. The control condition had a fixed SOA of 1175 ms. In a second condition, using the same SOAs, trains of six stimuli were separated by a silence gap of 1600 ms. Twenty-four adults with normal hearing (<20 dB HL) were assessed. MAIN RESULTS Results showed disentangling of a series of overlapping responses using LS deconvolution on simulated waveforms as well as on real EEG data. The use of rapid presentation and LS deconvolution did not however, allow the recovered CAEPs to have a higher signal-to-noise ratio than for slowly presented stimuli. The LS deconvolution technique enables the analysis of a series of overlapping responses in EEG. SIGNIFICANCE LS deconvolution is a useful technique for the study of adaptation mechanisms of CAEPs for closely spaced stimuli whose characteristics change from stimulus to stimulus. High-rate presentation is necessary to develop an understanding of how the auditory system encodes natural speech or other intrinsically high-rate stimuli.

[1]  R. Kakigi,et al.  Change-related responses in the human auditory cortex: an MEG study. , 2011, Psychophysiology.

[2]  P. Michie,et al.  Facilitation of the N1 peak of the auditory ERP at short stimulus intervals. , 1994, Neuroreport.

[3]  P. Sah,et al.  Calcium-Activated Potassium Channels: Multiple Contributions to Neuronal Function , 2003, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[4]  T. Picton,et al.  Human auditory sustained potentials. II. Stimulus relationships. , 1978, Electroencephalography and clinical neurophysiology.

[5]  J. Obleser,et al.  Frequency-specific Adaptation in Human Auditory Cortex 2 Depends on the Spectral Variance in the Acoustic Stimulation 3 4 Running Head: Neural Adaptation Depends on Variance in Sounds Manuscript, Edited and Revised Manuscript Edited and Revised Manuscript , 2022 .

[6]  L. McEvoy,et al.  Temporal characteristics of auditory sensory memory: neuromagnetic evidence. , 1997, Psychophysiology.

[7]  Harvey Dillon,et al.  Sensitivity of cortical auditory evoked potential detection for hearing-impaired infants in response to short speech sounds , 2012, Audiology research.

[8]  P. Heil,et al.  The M100 component of evoked magnetic fields differs by scaling factors: implications for signal averaging. , 2011, Psychophysiology.

[9]  Jianhua Ma,et al.  A simulation study assessing the efficiency of deriving evoked responses using high stimulus rate , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  H. Davis,et al.  Effects of duration and rise time of tone bursts on evoked V potentials. , 1968, The Journal of the Acoustical Society of America.

[11]  M. Dorman,et al.  Deprivation-induced cortical reorganization in children with cochlear implants , 2007, International journal of audiology.

[12]  Gary Rance,et al.  Speech Perception and Cortical Event Related Potentials in Children with Auditory Neuropathy , 2002, Ear and hearing.

[13]  Suppression and the upward spread of masking. , 1998 .

[14]  C. Newman,et al.  The effects of stimulus frequency and recording site on the amplitude and latency of multichannel cortical auditory evoked potential (CAEP) component N1. , 1992, Ear and hearing.

[15]  Pamela E Souza,et al.  New Perspectives on Assessing Amplification Effects , 2006, Trends in amplification.

[16]  A. Oxenham,et al.  Suppression and the upward spread of masking. , 1998, The Journal of the Acoustical Society of America.

[17]  M. Steinschneider,et al.  The maturation of human evoked brain potentials to sounds presented at different stimulus rates , 2008, Hearing Research.

[18]  Frederick J. Gallun,et al.  Clinical Use of Aided Cortical Auditory Evoked Potentials as a Measure of Physiological Detection or Physiological Discrimination , 2012, International journal of otolaryngology.

[19]  P. Schwindt,et al.  Multiple potassium conductances and their functions in neurons from cat sensorimotor cortex in vitro. , 1988, Journal of neurophysiology.

[20]  Harvey Dillon,et al.  The relationship between obligatory cortical auditory evoked potentials (CAEPs) and functional measures in young infants. , 2007, Journal of the American Academy of Audiology.

[21]  U Eysholdt,et al.  Maximum length sequences -- a fast method for measuring brain-stem-evoked responses. , 1982, Audiology : official organ of the International Society of Audiology.

[22]  B. Cone,et al.  Dynamics of infant cortical auditory evoked potentials (CAEPs) for tone and speech tokens. , 2013, International journal of pediatric otorhinolaryngology.

[23]  Jorge Bohórquez,et al.  Signal-to-noise ratio and frequency analysis of continuous loop averaging deconvolution (CLAD) of overlapping evoked potentials. , 2006, The Journal of the Acoustical Society of America.

[24]  H. Dillon,et al.  Deconvolution of overlapping cortical auditory evoked potentials recorded using short stimulus onset-asynchrony ranges , 2014, Clinical Neurophysiology.

[25]  Rolf Unbehauen,et al.  On the computational model of a kind of deconvolution problem , 1995, IEEE Trans. Image Process..

[26]  Long-Lasting Context Dependence Constrains Neural Encoding Models in Rodent Auditory Cortex , 2008 .

[27]  Kathy A. Low,et al.  Latent inhibition mediates N1 attenuation to repeating sounds. , 2004, Psychophysiology.

[28]  K. McGraw,et al.  Forming inferences about some intraclass correlation coefficients. , 1996 .

[29]  T. Rosburg,et al.  Short-term habituation of auditory evoked potential and neuromagnetic field components in dependence of the interstimulus interval , 2010, Experimental Brain Research.

[30]  D. Bishop,et al.  Maturation of auditory temporal integration and inhibition assessed with event-related potentials (ERPs) , 2010, BMC Neuroscience.

[31]  Ozcan Ozdamar,et al.  Deconvolution of evoked responses obtained at high stimulus rates. , 2004, The Journal of the Acoustical Society of America.

[32]  T. Picton,et al.  The N1 wave of the human electric and magnetic response to sound: a review and an analysis of the component structure. , 1987, Psychophysiology.

[33]  H. Dillon,et al.  The Effect of Stimulus Duration and Inter-stimulus Interval on Cortical Responses in Infants , 2006 .

[34]  Don L. Jewett,et al.  The use of QSD (q-sequence deconvolution) to recover superposed, transient evoked-responses , 2004, Clinical Neurophysiology.

[35]  Harvey Dillon,et al.  Least-squares deconvolution of evoked potentials and sequence optimization for multiple stimuli under low-jitter conditions , 2014, Clinical Neurophysiology.

[36]  Chang'an A. Zhan,et al.  Continuous- and Discrete-Time Stimulus Sequences for High Stimulus Rate Paradigm in Evoked Potential Studies , 2013, Comput. Math. Methods Medicine.

[37]  A. Mouraux,et al.  The Enhancement of the N1 Wave Elicited by Sensory Stimuli Presented at Very Short Inter-Stimulus Intervals Is a General Feature across Sensory Systems , 2008, PloS one.

[38]  Manuel Sainz,et al.  Recording of auditory brainstem response at high stimulation rates using randomized stimulation and averaging. , 2012, The Journal of the Acoustical Society of America.

[39]  V. Jousmäki,et al.  Temporal integration in auditory sensory memory: neuromagnetic evidence. , 1996, Electroencephalography and clinical neurophysiology.

[40]  R. Hari,et al.  Evoked responses of human auditory cortex may be enhanced by preceding stimuli. , 1989, Electroencephalography and clinical neurophysiology.

[41]  A. Zador,et al.  Synaptic Mechanisms of Forward Suppression in Rat Auditory Cortex , 2005, Neuron.

[42]  Gang Yan,et al.  A preliminary investigation of the deconvolution of auditory evoked potentials using a session jittering paradigm , 2013, Journal of neural engineering.

[43]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.