The Aging Auditory System: Electrophysiology

Harris, Kelly C.

doi:10.1007/978-3-030-49367-7_6

Cited by 6 publications

(7 citation statements)

References 101 publications

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“…By averaging the EEG signal in response to a large number of repetitive sound or speech stimuli, peaks in specific time ranges have been consistently identified in neurotypicals, i.e., event-related potentials (ERPs), offering a window into the spatio-temporal patterns of the neural response to speech. This way, ERPs related to acoustic (e.g., P1-N1-P2 complex (e.g., Martin et al, 2008; Harris, 2020)) and linguistic (e.g., N400 (e.g., Hillyard and Kutas, 1984; Kutas and Federmeier, 2011; Nieuwland et al, 2020)) aspects of speech have been identified. In IWA, altered ERPs have been found across language processing levels and across a variety of experimental stimuli and tasks (Ofek et al, 2013; Becker and Reinvang, 2007; Ilvonen et al, 2001; Pulvermü ller et al, 2004; Aerts et al, 2015; Ilvonen et al, 2004; Pettigrew et al, 2005; Robson et al, 2017; Chang et al, 2016; Kawohl et al, 2010; Khachatryan et al, 2017; Sheppard et al, 2017; Lice and Palmović, 2017; Kielar et al, 2012; Räling et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Exploring neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia

Kries

Clercq

Gillis

et al. 2023

Preprint

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Aphasia is a communication disorder that affects processing of language at different levels (e.g., acoustic, phonological, semantic). Neural tracking of continuous speech, such as a story, allows to analyze brain responses to acoustic and linguistic properties. Even though neural tracking of speech measured via EEG may be an interesting tool to study aphasia in an ecologically valid way, this method has not yet been investigated in individuals with stroke-induced aphasia. Here, we explored processing of acoustic and linguistic speech representations in individuals with aphasia in the chronic phase after stroke and age-matched healthy controls. We found decreased neural tracking of acoustic and segmentation-related speech representations in individuals with aphasia. In addition, linguistic speech representations at the word-level displayed decreased amplitudes in individuals with aphasia around 200 ms over left-sided frontal electrodes. These results show that there is potential for neural tracking to capture language processing impairments in individuals with aphasia. However, more research is needed to validate these results. Nonetheless, this exploratory study shows that neural tracking of naturalistic, continuous speech presents a powerful tool to study aphasia.

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Section: Introductionmentioning

confidence: 99%

Exploring neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia

Kries

Clercq

Gillis

et al. 2023

Preprint

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“…A comprehensive review of age-related electrophysiological changes in the central auditory pathway can be found in 91 . Early auditory evoked potentials, especially the so-called frequency following response (FFR) after stimulation with both tone and speech signals, objectify impaired temporal processing at the brainstem level.…”

Section: Age-related Hearing Lossmentioning

confidence: 99%

“…Eine umfassende Übersicht altersabhängiger elektrophysiologischer Veränderungen der zentralen Hörbahn findet sich bei 91 : Frühe auditorisch evozierter Potentiale, insbesondere der sog. frequency following response (FFR) sowohl nach Stimulation mit Tönen als auch Sprachsignalen, objektivieren die gestörte zeitliche Verarbeitung auf Hirnstammebene.…”

Section: 32 Veränderungen Der Zentral-auditiven Verarbeitung Und Wahr...unclassified

(Zu-)Hören mit alterndem Gehirn – eine kognitive Herausforderung

Großmann

2023

Laryngorhinootologie

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ZusammenfassungIn den letzten Jahren sind Hörstörungen als potentiell modifizierbarer Risikofaktor für neurokognitive Beeinträchtigungen der alternden Gesellschaft zunehmend in den Fokus wissenschaftlicher Arbeiten gerückt. Sensorische und kognitive Defizite sind über komplexe Bottom-Up und Top-Down Prozesse eng miteinander verbunden, eine scharfe Trennung von Sensorik, Wahrnehmung und Kognition ist unmöglich. Die Auswirkung normaler und pathologischer Alterungsprozesse sowohl des auditiven Systems als auch kognitiver Funktionen auf das Wahrnehmen und Verstehen von Sprache werden im Rahmen dieses Referates ebenso vorgestellt, wie die spezifischen auditorischen Beeinträchtigungen bei den beiden häufigsten neurodegenerativen Erkrankungen des älteren Menschen – Alzheimer-Krankheit und Parkinson-Syndrom. Hypothesen zum Kausalzusammenhang werden erläutert und der aktuelle Wissenstand zum Effekt der Hörrehabilitation aufgezeigt. Dieser Beitrag bietet damit einen Überblick über die komplexen Zusammenhänge von Hören und Kognition im höheren Lebensalter.

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“…By using EEG or magnetoencephalography (MEG), the neural response to auditory stimuli can be examined by averaging the signal over a large number of repetitive stimuli (i.e., event-related potentials (ERP)). Cortical auditory evoked potentials (CAEP), such as the P1-N1-P2 complex, reflect sound detection and encoding in the auditory cortex (Martin et al, 2008;Harris, 2020). In clinically normal-hearing older adults, CAEP peak amplitudes and latencies (N1 and P2) are increased compared to younger adults (McCullagh and Shinn, 2013;Tremblay et al, 2002Tremblay et al, , 2003.…”

Section: Age-related Changes In Acoustic Speech Processingmentioning

confidence: 99%

Neural tracking of linguistic speech representations decreases with advancing age

Gillis

Kries

Vandermosten

et al. 2022

Preprint

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Background: Older adults process speech differently, but it is not yet clear how aging affects different levels of processing natural, continuous speech, both in terms of bottom-up acoustic analysis and top-down generation of linguistic-based predictions. We studied natural speech processing across the adult lifespan via EEG measurements of neural tracking. Goals: Our goals are to analyze the unique contribution of linguistic speech processing across the adult lifespan using natural speech, while controlling for the influence of acoustic processing. In particular, we focus on changes in spatial and temporal activation patterns in response to natural speech across the lifespan. Methods: 52 normal-hearing adults between 17 and 82 years of age listened to a naturally spoken story while the EEG signal was recorded. We investigated the effect of age on acoustic and linguistic processing of speech. Because age correlated with hearing capacity and measures of cognition, we investigated whether the observed age effect is mediated by these factors. Furthermore, we investigated whether there is an effect of age on hemisphere lateralization and on spatiotemporal patterns of the neural responses. Results: Our EEG results showed that linguistic speech processing declines with advancing age. Moreover, as age increased, the neural response latency to certain aspects of linguistic speech processing increased. Also acoustic neural tracking decreased with increasing age but in contrast to linguistic processing, older subjects showed shorter latencies for early acoustic responses to speech. No evidence was found for hemispheric lateralization in neither younger nor older adults during linguistic speech processing. Most of the observed aging effects on acoustic and linguistic processing were not explained by age-related decline in hearing capacity or cognition. However, our results suggest that the effect of increasing neural response latency with age for word-level linguistic processing is likely more due to an age-related decline in cognition than a robust effect of age. Conclusion: Spatial and temporal characteristics of the neural responses to continuous speech change across the adult lifespan for both acoustic and linguistic speech processing. These are most likely explained by compensation mechanisms that occur during healthy aging. Traces of this compensation mechanism are reported as modifications in the neural response to acoustic and linguistic speech characteristics in terms of spatial and temporal differences, suggesting structural and functional changes. Additionally, different frontal patterns were observed for linguistic processing, suggesting that older adults recruit additional frontal brain regions to compensate for the age-related decline.

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The Aging Auditory System: Electrophysiology

Cited by 6 publications

References 101 publications

Exploring neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia

Exploring neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia

(Zu-)Hören mit alterndem Gehirn – eine kognitive Herausforderung

Neural tracking of linguistic speech representations decreases with advancing age

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