Literature DB >> 25660195

Multichannel recordings of the human brainstem frequency-following response: scalp topography, source generators, and distinctions from the transient ABR.

Gavin M Bidelman1.   

Abstract

Brainstem frequency-following responses (FFRs) probe the neural transcription of speech/music, auditory disorders, and plasticity in subcortical auditory function. Despite clinical and empirical interest, the response's neural basis remains poorly understood. The current study aimed to more fully characterize functional properties of the human FFR (topography, source locations, generation). Speech-evoked FFRs were recorded using a high-density (64 channel) electrode montage. Source dipole modeling and 3-channel Lissajous analysis was used to localize the most likely FFR generators and their orientation trajectories. Additionally, transient auditory brainstem responses (ABRs), recorded in the same listeners, were used to predict FFRs and test the long-held assumption that the sustained potential reflects a series of overlapping onset responses. Results showed that FFRs were maximal at frontocentral scalp locations with obliquely oriented sources from putative generators in the midbrain (i.e., upper brainstem). Comparisons between derived and actual recordings revealed the FFR is not a series of repeated ABR wavelets and thus, represents a functionally distinct brainstem response. FFRs recorded at temporal electrode sites showed larger amplitudes and contained higher frequency components than vertex channels (Fz, Cz) suggesting that FFRs measured near the mastoid are generated more peripherally (auditory nerve) than measurements at frontocentral scalp locations. Furthermore, this reveals the importance of choice in reference electrode location for FFR interpretation. Our findings provide non-invasive evidence that (i) FFRs reflect sustained neural activity whose sources are consistent with rostral brainstem generators and (ii) FFRs are functionally distinct from the onset ABR response.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2015        PMID: 25660195     DOI: 10.1016/j.heares.2015.01.011

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  45 in total

1.  Interactive effects of linguistic abstraction and stimulus statistics in the online modulation of neural speech encoding.

Authors:  Joseph C Y Lau; Patrick C M Wong; Bharath Chandrasekaran
Journal:  Atten Percept Psychophys       Date:  2019-05       Impact factor: 2.199

Review 2.  Machine Learning Approaches to Analyze Speech-Evoked Neurophysiological Responses.

Authors:  Zilong Xie; Rachel Reetzke; Bharath Chandrasekaran
Journal:  J Speech Lang Hear Res       Date:  2019-03-25       Impact factor: 2.297

3.  Synaptopathy in the Aging Cochlea: Characterizing Early-Neural Deficits in Auditory Temporal Envelope Processing.

Authors:  Aravindakshan Parthasarathy; Sharon G Kujawa
Journal:  J Neurosci       Date:  2018-07-05       Impact factor: 6.167

4.  Hidden Markov modeling of frequency-following responses to Mandarin lexical tones.

Authors:  Fernando Llanos; Zilong Xie; Bharath Chandrasekaran
Journal:  J Neurosci Methods       Date:  2017-08-12       Impact factor: 2.390

5.  Processing Complex Sounds Passing through the Rostral Brainstem: The New Early Filter Model.

Authors:  John E Marsh; Tom A Campbell
Journal:  Front Neurosci       Date:  2016-05-10       Impact factor: 4.677

6.  Free-Field Cortical Steady-State Evoked Potentials in Cochlear Implant Users.

Authors:  Razieh Alemi; Sylvie Nozaradan; Alexandre Lehmann
Journal:  Brain Topogr       Date:  2021-06-29       Impact factor: 3.020

7.  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

8.  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

9.  Stability and plasticity in neural encoding of linguistically relevant pitch patterns.

Authors:  Zilong Xie; Rachel Reetzke; Bharath Chandrasekaran
Journal:  J Neurophysiol       Date:  2017-01-11       Impact factor: 2.714

10.  Oscillatory Entrainment of the Frequency-following Response in Auditory Cortical and Subcortical Structures.

Authors:  Emily B J Coffey; Isabelle Arseneau-Bruneau; Xiaochen Zhang; Sylvain Baillet; Robert J Zatorre
Journal:  J Neurosci       Date:  2021-03-17       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.