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      Degradation levels of continuous speech affect neural speech tracking and alpha power differently

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          Abstract

          Making sense of a poor auditory signal can pose a challenge. Previous attempts to quantify speech intelligibility in neural terms have usually focused on one of two measures, namely low‐frequency speech‐brain synchronization or alpha power modulations. However, reports have been mixed concerning the modulation of these measures, an issue aggravated by the fact that they have normally been studied separately. We present two MEG studies analyzing both measures. In study 1, participants listened to unimodal auditory speech with three different levels of degradation (original, 7‐channel and 3‐channel vocoding). Intelligibility declined with declining clarity, but speech was still intelligible to some extent even for the lowest clarity level (3‐channel vocoding). Low‐frequency (1–7 Hz) speech tracking suggested a U‐shaped relationship with strongest effects for the medium‐degraded speech (7‐channel) in bilateral auditory and left frontal regions. To follow up on this finding, we implemented three additional vocoding levels (5‐channel, 2‐channel and 1‐channel) in a second MEG study. Using this wider range of degradation, the speech‐brain synchronization showed a similar pattern as in study 1, but further showed that when speech becomes unintelligible, synchronization declines again. The relationship differed for alpha power, which continued to decrease across vocoding levels reaching a floor effect for 5‐channel vocoding. Predicting subjective intelligibility based on models either combining both measures or each measure alone showed superiority of the combined model. Our findings underline that speech tracking and alpha power are modified differently by the degree of degradation of continuous speech but together contribute to the subjective speech understanding.

          Abstract

          Recording magnetoencephalography while presenting continuous speech under different levels of degradation shows that alpha power and speech tracking are differently affected. While alpha power declines with declining clarity speech tracking follows an inverted U‐shape. Linear mixed models suggest that a combination of alpha power and tracking contribute to subjective speech understanding.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Fitting Linear Mixed-Effects Models Usinglme4

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              Fitting Linear Mixed-Effects Models Using lme4

              Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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                Author and article information

                Contributors
                anne.hauswald@sbg.ac.at
                Journal
                Eur J Neurosci
                Eur J Neurosci
                10.1111/(ISSN)1460-9568
                EJN
                The European Journal of Neuroscience
                John Wiley and Sons Inc. (Hoboken )
                0953-816X
                1460-9568
                07 August 2020
                June 2022
                : 55
                : 11-12 , Rhythms in Cognition: Revisiting the Evidence ( doiID: 10.1111/ejn.v55.11-12 )
                : 3288-3302
                Affiliations
                [ 1 ] Center of Cognitive Neuroscience University of Salzburg Salzburg Austria
                [ 2 ] Department of Psychology University of Salzburg Salzburg Austria
                [ 3 ] Psychology, School of Social Sciences University of Dundee Dundee UK
                [ 4 ] Centre for Cognitive Neuroimaging University of Glasgow Glasgow UK
                [ 5 ] Department of Otorhinolaryngology Paracelsus Medical University Salzburg Austria
                Author notes
                [*] [* ] Correspondence

                Anne Hauswald, Centre for Cognitive Neuroscience, University of Salzburg, Hellbrunnerstraße 34, 5020 Salzburg, Austria.

                Email: anne.hauswald@ 123456sbg.ac.at

                Author information
                https://orcid.org/0000-0002-3754-0807
                https://orcid.org/0000-0003-4498-0146
                https://orcid.org/0000-0001-5171-4255
                https://orcid.org/0000-0003-3579-6435
                https://orcid.org/0000-0001-7816-0037
                Article
                EJN14912
                10.1111/ejn.14912
                9540197
                32687616
                fe6a79a6-fb1c-40d0-89ad-1c29dc0be86b
                © 2020 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 July 2020
                : 14 April 2020
                : 13 July 2020
                Page count
                Figures: 4, Tables: 0, Pages: 0, Words: 21514
                Funding
                Funded by: Austrian Science Fund , doi 10.13039/501100002428;
                Award ID: P 31230
                Funded by: Wellcome Trust , doi 10.13039/100010269;
                Award ID: 204820/Z/16/Z
                Categories
                Special Issue Article
                Special Issue Articles
                Custom metadata
                2.0
                June 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.0 mode:remove_FC converted:07.10.2022

                Neurosciences
                alpha power,continuous speech,degraded speech,low‐frequency speech tracking,meg
                Neurosciences
                alpha power, continuous speech, degraded speech, low‐frequency speech tracking, meg

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