Intracranial electrophysiology of spectrally degraded speech in the human cortex

IntroductionCochlear implants (CIs) are the treatment of choice for severe to profound hearing loss. Variability in CI outcomes remains despite advances in technology and is attributed in part to differences in cortical processing. Studying these differences in CI users is technically challenging. S...

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Main Authors: Kirill V. Nourski, Mitchell Steinschneider, Ariane E. Rhone, Joel I. Berger, Emily R. Dappen, Hiroto Kawasaki, Matthew A. Howard III
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2023.1334742/full
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author Kirill V. Nourski
Kirill V. Nourski
Mitchell Steinschneider
Mitchell Steinschneider
Ariane E. Rhone
Joel I. Berger
Emily R. Dappen
Emily R. Dappen
Hiroto Kawasaki
Matthew A. Howard III
Matthew A. Howard III
Matthew A. Howard III
author_facet Kirill V. Nourski
Kirill V. Nourski
Mitchell Steinschneider
Mitchell Steinschneider
Ariane E. Rhone
Joel I. Berger
Emily R. Dappen
Emily R. Dappen
Hiroto Kawasaki
Matthew A. Howard III
Matthew A. Howard III
Matthew A. Howard III
author_sort Kirill V. Nourski
collection DOAJ
description IntroductionCochlear implants (CIs) are the treatment of choice for severe to profound hearing loss. Variability in CI outcomes remains despite advances in technology and is attributed in part to differences in cortical processing. Studying these differences in CI users is technically challenging. Spectrally degraded stimuli presented to normal-hearing individuals approximate input to the central auditory system in CI users. This study used intracranial electroencephalography (iEEG) to investigate cortical processing of spectrally degraded speech.MethodsParticipants were adult neurosurgical epilepsy patients. Stimuli were utterances /aba/ and /ada/, spectrally degraded using a noise vocoder (1–4 bands) or presented without vocoding. The stimuli were presented in a two-alternative forced choice task. Cortical activity was recorded using depth and subdural iEEG electrodes. Electrode coverage included auditory core in posteromedial Heschl’s gyrus (HGPM), superior temporal gyrus (STG), ventral and dorsal auditory-related areas, and prefrontal and sensorimotor cortex. Analysis focused on high gamma (70–150 Hz) power augmentation and alpha (8–14 Hz) suppression.ResultsChance task performance occurred with 1–2 spectral bands and was near-ceiling for clear stimuli. Performance was variable with 3–4 bands, permitting identification of good and poor performers. There was no relationship between task performance and participants demographic, audiometric, neuropsychological, or clinical profiles. Several response patterns were identified based on magnitude and differences between stimulus conditions. HGPM responded strongly to all stimuli. A preference for clear speech emerged within non-core auditory cortex. Good performers typically had strong responses to all stimuli along the dorsal stream, including posterior STG, supramarginal, and precentral gyrus; a minority of sites in STG and supramarginal gyrus had a preference for vocoded stimuli. In poor performers, responses were typically restricted to clear speech. Alpha suppression was more pronounced in good performers. In contrast, poor performers exhibited a greater involvement of posterior middle temporal gyrus when listening to clear speech.DiscussionResponses to noise-vocoded speech provide insights into potential factors underlying CI outcome variability. The results emphasize differences in the balance of neural processing along the dorsal and ventral stream between good and poor performers, identify specific cortical regions that may have diagnostic and prognostic utility, and suggest potential targets for neuromodulation-based CI rehabilitation strategies.
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spelling doaj.art-ac77467e3fdc44aa95a223ee85d159552024-01-22T10:47:59ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612024-01-011710.3389/fnhum.2023.13347421334742Intracranial electrophysiology of spectrally degraded speech in the human cortexKirill V. Nourski0Kirill V. Nourski1Mitchell Steinschneider2Mitchell Steinschneider3Ariane E. Rhone4Joel I. Berger5Emily R. Dappen6Emily R. Dappen7Hiroto Kawasaki8Matthew A. Howard III9Matthew A. Howard III10Matthew A. Howard III11Department of Neurosurgery, The University of Iowa, Iowa City, IA, United StatesIowa Neuroscience Institute, The University of Iowa, Iowa City, IA, United StatesDepartment of Neurosurgery, The University of Iowa, Iowa City, IA, United StatesDepartments of Neurology and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, United StatesDepartment of Neurosurgery, The University of Iowa, Iowa City, IA, United StatesDepartment of Neurosurgery, The University of Iowa, Iowa City, IA, United StatesDepartment of Neurosurgery, The University of Iowa, Iowa City, IA, United StatesIowa Neuroscience Institute, The University of Iowa, Iowa City, IA, United StatesDepartment of Neurosurgery, The University of Iowa, Iowa City, IA, United StatesDepartment of Neurosurgery, The University of Iowa, Iowa City, IA, United StatesIowa Neuroscience Institute, The University of Iowa, Iowa City, IA, United StatesPappajohn Biomedical Institute, The University of Iowa, Iowa City, IA, United StatesIntroductionCochlear implants (CIs) are the treatment of choice for severe to profound hearing loss. Variability in CI outcomes remains despite advances in technology and is attributed in part to differences in cortical processing. Studying these differences in CI users is technically challenging. Spectrally degraded stimuli presented to normal-hearing individuals approximate input to the central auditory system in CI users. This study used intracranial electroencephalography (iEEG) to investigate cortical processing of spectrally degraded speech.MethodsParticipants were adult neurosurgical epilepsy patients. Stimuli were utterances /aba/ and /ada/, spectrally degraded using a noise vocoder (1–4 bands) or presented without vocoding. The stimuli were presented in a two-alternative forced choice task. Cortical activity was recorded using depth and subdural iEEG electrodes. Electrode coverage included auditory core in posteromedial Heschl’s gyrus (HGPM), superior temporal gyrus (STG), ventral and dorsal auditory-related areas, and prefrontal and sensorimotor cortex. Analysis focused on high gamma (70–150 Hz) power augmentation and alpha (8–14 Hz) suppression.ResultsChance task performance occurred with 1–2 spectral bands and was near-ceiling for clear stimuli. Performance was variable with 3–4 bands, permitting identification of good and poor performers. There was no relationship between task performance and participants demographic, audiometric, neuropsychological, or clinical profiles. Several response patterns were identified based on magnitude and differences between stimulus conditions. HGPM responded strongly to all stimuli. A preference for clear speech emerged within non-core auditory cortex. Good performers typically had strong responses to all stimuli along the dorsal stream, including posterior STG, supramarginal, and precentral gyrus; a minority of sites in STG and supramarginal gyrus had a preference for vocoded stimuli. In poor performers, responses were typically restricted to clear speech. Alpha suppression was more pronounced in good performers. In contrast, poor performers exhibited a greater involvement of posterior middle temporal gyrus when listening to clear speech.DiscussionResponses to noise-vocoded speech provide insights into potential factors underlying CI outcome variability. The results emphasize differences in the balance of neural processing along the dorsal and ventral stream between good and poor performers, identify specific cortical regions that may have diagnostic and prognostic utility, and suggest potential targets for neuromodulation-based CI rehabilitation strategies.https://www.frontiersin.org/articles/10.3389/fnhum.2023.1334742/fullauditory cortexcochlear implantsdorsal auditory streamhigh gammaiEEGnoise vocoder
spellingShingle Kirill V. Nourski
Kirill V. Nourski
Mitchell Steinschneider
Mitchell Steinschneider
Ariane E. Rhone
Joel I. Berger
Emily R. Dappen
Emily R. Dappen
Hiroto Kawasaki
Matthew A. Howard III
Matthew A. Howard III
Matthew A. Howard III
Intracranial electrophysiology of spectrally degraded speech in the human cortex
Frontiers in Human Neuroscience
auditory cortex
cochlear implants
dorsal auditory stream
high gamma
iEEG
noise vocoder
title Intracranial electrophysiology of spectrally degraded speech in the human cortex
title_full Intracranial electrophysiology of spectrally degraded speech in the human cortex
title_fullStr Intracranial electrophysiology of spectrally degraded speech in the human cortex
title_full_unstemmed Intracranial electrophysiology of spectrally degraded speech in the human cortex
title_short Intracranial electrophysiology of spectrally degraded speech in the human cortex
title_sort intracranial electrophysiology of spectrally degraded speech in the human cortex
topic auditory cortex
cochlear implants
dorsal auditory stream
high gamma
iEEG
noise vocoder
url https://www.frontiersin.org/articles/10.3389/fnhum.2023.1334742/full
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