2022
DOI: 10.3389/fpsyg.2022.865857
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Age of Acquisition Modulates Alpha Power During Bilingual Speech Comprehension in Noise

Abstract: Research on bilingualism has grown exponentially in recent years. However, the comprehension of speech in noise, given the ubiquity of both bilingualism and noisy environments, has seen only limited focus. Electroencephalogram (EEG) studies in monolinguals show an increase in alpha power when listening to speech in noise, which, in the theoretical context where alpha power indexes attentional control, is thought to reflect an increase in attentional demands. In the current study, English/French bilinguals with… Show more

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Cited by 4 publications
(5 citation statements)
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“…We identified a significant negative correlation between age and beta value when the SNR was 0 dB. This suggests that the central auditory processing ability to recognize speech in noise decreases with age, even though the hearing threshold remains normal ( Presacco et al 2019 ; Mankowska et al 2020 ; Grant et al 2022 ). However, no significant correlation between age and beta value was detected in other SNR experiments.…”
Section: Discussionmentioning
confidence: 76%
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“…We identified a significant negative correlation between age and beta value when the SNR was 0 dB. This suggests that the central auditory processing ability to recognize speech in noise decreases with age, even though the hearing threshold remains normal ( Presacco et al 2019 ; Mankowska et al 2020 ; Grant et al 2022 ). However, no significant correlation between age and beta value was detected in other SNR experiments.…”
Section: Discussionmentioning
confidence: 76%
“…However, there are several limitations associated with these previous studies. First, most of these previous studies were based on a comparison between only two age groups and did not consider continuous analysis involving youths, middle-aged individuals, and elderly individuals ( Manan et al 2015 , 2018 ; Grant et al 2022 ). Second, the characteristics of low spatial resolution made it very difficult to locate specific targets for electroencephalography studies ( Alain et al 2014 ; van Noordt & Willoughby 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…In addition to pupillometry, various other physiological techniques have been suggested to capture differences in effort. For example, changes in cardiac responses (e.g., Mackersie & Calderon-Moultrie, 2016; Mackersie & Cones, 2011; Seeman & Sims, 2015), hormonal activity (e.g., Jahncke & Halin, 2012), or skin conductance responses (e.g., Mackersie & Calderon-Moultrie, 2016; Mackersie & Cones, 2011; Seeman & Sims, 2015), were attributed to changes in effort. In addition, changes in the synchronization of alpha and theta oscillations during electroencephalogram (EEG) recordings (Deng et al, 2019; Miles et al, 2017; Obleser et al, 2012; Wisniewski, 2017; Wisniewski et al, 2018), changes in the topography, latency, or amplitude of event-related potentials (ERPs) (e.g., Bertoli & Bodmer, 2016; Kyong et al, 2020; Obleser & Kotz, 2011; Ullsperger et al, 1988), or recruitment of additional brain areas in neuroimaging studies (e.g., Eckert et al, 2016; Peelle, 2018; White & Langdon, 2021; Wild et al, 2012) were found to be associated with the difficulty of the task and were interpreted to reflect changes in effort.…”
Section: Introductionmentioning
confidence: 99%
“…Using a different physiological measure, Grant et al (2022) examined listening effort among English (L1)–French (L2) and French (L1)–English (L2) bilinguals, by tracking the changes in alpha oscillation . During EEG recordings, bilinguals listened to sentences presented in both of their languages (L1 or L2) in quiet and in the presence of multi-talker babble noise.…”
Section: Introductionmentioning
confidence: 99%
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