Level Dependent Subcortical EEG Responses to Continuous Speech DOI Creative Commons
Joshua P. Kulasingham, Hamish Innes-Brown, Martin Enqvist

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 2, 2024

Abstract The auditory brainstem response (ABR) is a measure of subcortical activity in to stimuli. wave V peak the ABR depends on stimulus intensity level, and has been widely used for clinical hearing assessment. Conventional methods estimate average electroencephalography (EEG) responses short unnatural stimuli such as clicks. Recent work moved towards more ecologically relevant continuous speech using linear deconvolution models called Temporal Response Functions (TRFs). Investigating whether TRF waveform changes with crucial step use natural assessments involving responses. Here, we develop level-dependent TRFs EEG data collected from 21 participants listening presented at 4 different levels. We find that can be detected almost all participants, are consistent click-ABR V. also investigate most suitable peripheral model generate predictors simple gammatone filterbanks perform best. Additionally, around 6 minutes may sufficient detecting effects peaks above noise floor segments higher intensity. Finally, show proof-of-concept level dependent even inherent fluctuations speech. Visual abstract Significance statement Subcortical sound depend provide window into early human pathway. However, current detect transient clicks or chirps. stimuli, which several advantages over Critically, patterns an individual directly comparable those seen conventional click Our lays foundation future applications assessment assistive technology.

Language: Английский

Auditory encoding of natural speech at subcortical and cortical levels is not indicative of cognitive decline DOI Creative Commons
Elena Bolt, Nathalie Giroud

eNeuro, Journal Year: 2024, Volume and Issue: unknown, P. ENEURO.0545 - 23.2024

Published: April 24, 2024

More and more patients worldwide are diagnosed with dementia, which emphasizes the urgent need for early detection markers. In this study, we built on auditory hypersensitivity theory of a previous study—which postulated that responses to input in subcortex as well cortex enhanced cognitive decline—, examined encoding natural continuous speech at both neural levels its indicative potential decline. We recruited study participants aged 60 years older, who were divided into two groups based Montreal Cognitive Assessment, one group low scores (n = 19, signs decline), control 25). Participants completed an audiometric assessment then recorded their electroencephalography while they listened audiobook click sounds. derived Temporal Response Functions evoked potentials from data response amplitudes predict decline, controlling age hearing loss. Contrary our expectations, no evidence was observed decline; comparable groups. Moreover, combination showed predictive value These results challenge proposed hypothesis emphasize further research identify reliable markers Significance statement Research decline needs studies uncovering subtle changes pre-dementia stage. Neural processing have has not been widely explored studies. Here, first time, used natural, continuously spoken language examine older adults without quantified how brain tracks only cortical but also subcortical level. contrast suggesting found differences. believe represents important contribution search health old age.

Language: Английский

Citations

3
Level Dependent Subcortical EEG Responses to Continuous Speech DOI Creative Commons
Joshua P. Kulasingham, Hamish Innes-Brown, Martin Enqvist

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 2, 2024

Abstract The auditory brainstem response (ABR) is a measure of subcortical activity in to stimuli. wave V peak the ABR depends on stimulus intensity level, and has been widely used for clinical hearing assessment. Conventional methods estimate average electroencephalography (EEG) responses short unnatural stimuli such as clicks. Recent work moved towards more ecologically relevant continuous speech using linear deconvolution models called Temporal Response Functions (TRFs). Investigating whether TRF waveform changes with crucial step use natural assessments involving responses. Here, we develop level-dependent TRFs EEG data collected from 21 participants listening presented at 4 different levels. We find that can be detected almost all participants, are consistent click-ABR V. also investigate most suitable peripheral model generate predictors simple gammatone filterbanks perform best. Additionally, around 6 minutes may sufficient detecting effects peaks above noise floor segments higher intensity. Finally, show proof-of-concept level dependent even inherent fluctuations speech. Visual abstract Significance statement Subcortical sound depend provide window into early human pathway. However, current detect transient clicks or chirps. stimuli, which several advantages over Critically, patterns an individual directly comparable those seen conventional click Our lays foundation future applications assessment assistive technology.

Language: Английский

Citations

0