Literature DB >> 25561397

Towards an optimal paradigm for simultaneously recording cortical and brainstem auditory evoked potentials.

Gavin M Bidelman1.   

Abstract

BACKGROUND: Simultaneous recording of brainstem and cortical event-related brain potentials (ERPs) may offer a valuable tool for understanding the early neural transcription of behaviorally relevant sounds and the hierarchy of signal processing operating at multiple levels of the auditory system. To date, dual recordings have been challenged by technological and physiological limitations including different optimal parameters necessary to elicit each class of ERP (e.g., differential adaptation/habitation effects and number of trials to obtain adequate response signal-to-noise ratio). NEW
METHOD: We investigated a new stimulus paradigm for concurrent recording of the auditory brainstem frequency-following response (FFR) and cortical ERPs. The paradigm is "optimal" in that it uses a clustered stimulus presentation and variable interstimulus interval (ISI) to (i) achieve the most ideal acquisition parameters for eliciting subcortical and cortical responses, (ii) obtain an adequate number of trials to detect each class of response, and (iii) minimize neural adaptation/habituation effects. RESULTS AND COMPARISON WITH EXISTING
METHOD: Comparison between clustered and traditional (fixed, slow ISI) stimulus paradigms revealed minimal change in amplitude or latencies of either the brainstem FFR or cortical ERP. The clustered paradigm offered over a 3× increase in recording efficiency compared to conventional (fixed ISI presentation) and thus, a more rapid protocol for obtaining dual brainstem-cortical recordings in individual listeners.
CONCLUSIONS: We infer that faster recording of subcortical and cortical potentials might allow more complete and sensitive testing of neurophysiological function and aid in the differential assessment of auditory function.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Auditory brainstem response (ABR); Central auditory processing; Cortex; Event related brain potentials (ERPs); Frequency-following response (FFR); Subcortical

Mesh:

Year:  2015        PMID: 25561397     DOI: 10.1016/j.jneumeth.2014.12.019

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  8 in total

1.  A novel EEG paradigm to simultaneously and rapidly assess the functioning of auditory and visual pathways.

Authors:  Kristina C Backer; Andrew S Kessler; Laurel A Lawyer; David P Corina; Lee M Miller
Journal:  J Neurophysiol       Date:  2019-07-03       Impact factor: 2.714

2.  Inherent auditory skills rather than formal music training shape the neural encoding of speech.

Authors:  Kelsey Mankel; Gavin M Bidelman
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-03       Impact factor: 11.205

3.  Afferent-efferent connectivity between auditory brainstem and cortex accounts for poorer speech-in-noise comprehension in older adults.

Authors:  Gavin M Bidelman; Caitlin N Price; Dawei Shen; Stephen R Arnott; Claude Alain
Journal:  Hear Res       Date:  2019-08-27       Impact factor: 3.208

4.  Biometric identification of listener identity from frequency following responses to speech.

Authors:  Fernando Llanos; Zilong Xie; Bharath Chandrasekaran
Journal:  J Neural Eng       Date:  2019-07-23       Impact factor: 5.379

5.  A Single-Channel EEG-Based Approach to Detect Mild Cognitive Impairment via Speech-Evoked Brain Responses.

Authors:  Saleha Khatun; Bashir I Morshed; Gavin M Bidelman
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-04-18       Impact factor: 3.802

6.  Auditory Brainstem Responses to Continuous Natural Speech in Human Listeners.

Authors:  Ross K Maddox; Adrian K C Lee
Journal:  eNeuro       Date:  2018-02-09

7.  Deviance-Related Responses along the Auditory Hierarchy: Combined FFR, MLR and MMN Evidence.

Authors:  Tetsuya Shiga; Heike Althen; Miriam Cornella; Katarzyna Zarnowiec; Hirooki Yabe; Carles Escera
Journal:  PLoS One       Date:  2015-09-08       Impact factor: 3.240

Review 8.  The Mismatch Negativity: An Indicator of Perception of Regularities in Music.

Authors:  Xide Yu; Tao Liu; Dingguo Gao
Journal:  Behav Neurol       Date:  2015-10-04       Impact factor: 3.342

  8 in total

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