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Journal of Autism and Developmental Disorders

Gepubliceerd in:

25-02-2021

Audiovisual Speech Perception in Children with Autism Spectrum Disorders: Evidence from Visual Phonemic Restoration

Auteurs: Julia Irwin, Trey Avery, Daniel Kleinman, Nicole Landi

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 1/2022

Abstract

Children with autism spectrum disorders have been reported to be less influenced by a speaker’s face during speech perception than those with typically development. To more closely examine these reported differences, a novel visual phonemic restoration paradigm was used to assess neural signatures (event-related potentials [ERPs]) of audiovisual processing in typically developing children and in children with autism spectrum disorder. Video of a speaker saying the syllable /ba/ was paired with (1) a synthesized /ba/ or (2) a synthesized syllable derived from /ba/ in which auditory cues for the consonant were substantially weakened, thereby sounding more like /a/. The auditory stimuli are easily discriminable; however, in the context of a visual /ba/, the auditory /a/ is typically perceived as /ba/, producing a visual phonemic restoration. Only children with ASD showed a large /ba/-/a/ discrimination response in the presence of a speaker producing /ba/, suggesting reduced influence of visual speech.

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We call this a mismatch-like or mismatch response (MMR) because it is elicited here in response to two different tokens in an equiprobable rather than an oddball presentation, and thus should not be confused with a mismatch negativity (MMN) response.

Alcántara, J. I., Weisblatt, E. J., Moore, B. C., & Bolton, P. F. (2004). Speech-in-noise perception in high-functioning individuals with autism or Asperger’s syndrome. Journal of Child Psychology and Psychiatry, 45(6), 1107–1114.CrossRef

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.CrossRef

Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 2008, 390–412. https://doi.org/10.1016/j.jml.2007.12.005.CrossRef

Bates, D., Kliegl, R., Vasishth, S., & Baayen, H. (2015). Parsimonious mixed models. Available from arXiv:1506.04967v2 (stat.ME).

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48. https://doi.org/10.18637/jss.v067.i01.CrossRef

Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., & Robbins, K. A. (2015). The PREP pipeline: Standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics, 9, 16. https://doi.org/10.3389/fninf.2015.00016.CrossRefPubMedPubMedCentral

Boersma, P. (2001). Praat, a system for doing phonetics by computer. Glot International, 5, 341–345.

Booth, R. D., & Happé, F. G. (2018). Evidence of reduced global processing in autism spectrum disorder. Journal of Autism and Developmental Disorders, 48(4), 1397–1408.CrossRef

Brancazio, L. (2004). Lexical Influences in Audiovisual Speech Perception. Journal of Experimental Psychology: Human Perception and Performance, 30(3), 445–463.PubMed

Chen, J., Liang, C., Wei, Z., Cui, Z., Kong, X., Dong, C. J., et al. (2019). Atypical longitudinal development of speech-evoked auditory brainstem response in preschool children with autism spectrum disorders. Autism Research, 12(7), 1022–1031.CrossRef

Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134, 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009.CrossRefPubMed

Dunn, M. A., Gomes, H., & Gravel, J. (2008). Mismatch negativity in children with autism and typical development. Journal of Autism and Developmental Disorders, 38(1), 52–71.CrossRef

Eigsti, I. M., & Shapiro, T. (2003). A systems neuroscience approach to autism: Biological, cognitive, and clinical perspectives. Mental Retardation and Developmental Disabilities Research Reviews, 9(3), 206–216.CrossRef

Feldman, J. I., Dunham, K., Cassidy, M., Wallace, M. T., Liu, Y., et al. (2018). Audiovisual multisensory integration in individuals with autism spectrum disorder: A systematic review and meta-analysis. Neuroscience and Biobehavioral Reviews, 95, 220–234.CrossRef

Foxe, J. J., Molholm, S., Del Bene, V. A., Frey, H. P., Russo, N. N., Blanco, D., et al. (2015). Severe multisensory speech integration deficits in high-functioning school-aged children with autism spectrum disorder (ASD) and their resolution during early adolescence. Cerebral Cortex, 25, 298–312.CrossRef

Frith, U., & Happé, F. (1994). Autism: Beyond “theory of mind.” Cognition, 50(1–3), 115–132.CrossRef

Iarocci, G., Rombough, A., Yager, J., Weeks, D. J., & Chua, R. (2010). Visual influences on speech perception in children with autism. Autism, 14(4), 305–320.CrossRef

Irwin, J., Avery, T., Brancazio, L., Turcios, J., Ryherd, K., & Landi, N. (2018). Electrophysiological indices of audiovisual speech perception: Beyond the McGurk effect and speech in noise. Multisensory Research, 31(1–2), 39–56. https://doi.org/10.1163/22134808-00002580.

Irwin, J. R., & Brancazio, L. (2014). Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders. Frontiers, Language Sciences. https://doi.org/10.3389/fpsyg.2014.00397.CrossRef

Irwin, J., & DiBlasi, L. (2017). Audiovisual speech perception: A new approach and implications for clinical populations. Language and Linguistics Compass. https://doi.org/10.1111/lnc3.12237.CrossRefPubMedPubMedCentral

Irwin, J. R., Tornatore, L. A., Brancazio, L., & Whalen, D. H. (2011). Can children with autism spectrum disorders “hear” a speaking face? Child Development, 82(5), 1397–1403.CrossRef

Jerger, S., Damian, M. F., Tye-Murray, N., & Abdi, H. (2014). Children use visual speech to compensate for non-intact auditory speech. Journal of Experimental Child Psychology, 126, 295–312.CrossRef

Kashino, M. (2006). Phonemic restoration: The brain creates missing speech sounds. Acoustic Science Technology, 27(6), 318–321.CrossRef

Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82, 1–26. https://doi.org/10.18637/jss.v082.i13.CrossRef

Lenth, R. V. (2016). Least-squares means: The (R) Package (lsmeans). Journal of Statistical Software, 69(1), 1–33. https://doi.org/10.18637/jss.v069.i01.CrossRef

Lewkowicz, D. J., & Hansen-Tift, A. M. (2012). Infants deploy selective attention to the mouth of a talking face when learning speech. Proceedings of the National Academy of Sciences of the United States of America, 109(5), 1431–1436. https://doi.org/10.1073/pnas.1114783109.CrossRefPubMedPubMedCentral

Lopez-Calderon, J., & Luck, S. J. (2014). ERPLAB: An open-source toolbox for the analysis of event-related potentials. Frontiers in Human Neuroscience, 8, 213. https://doi.org/10.3389/fnhum.2014.00213.CrossRefPubMedPubMedCentral

Lord, C., Rutter, M., DiLavore, P. C., Risi, S., Gotham, K., & Bishop, S. (2012). Autism Diagnostic Observation Schedule (2nd ed.). Torrance, CA: Western Psychological Services.

Magnée, M. J., De Gelder, B., Van Engeland, H., & Kemner, C. (2008). Audiovisual speech integration in pervasive developmental disorder: Evidence from event-related potentials. Journal of Child Psychology Psychiatry, 49(9), 995–1000.CrossRef

Makeig, S., Bell, A. J., Jung, T.-P., & Sejnowski, T. J. (1996). Independent component analysis of electroencephalographic data. Advances in Neural Information Processing Systems, 8, 145–151.

Maris, E., & Oostenveld, R. (2007). Nonparametric statistical testing of EEG- and MEG-data. Journal of Neuroscience Methods, 164, 177–190. https://doi.org/10.1016/j.jneumeth.2007.03.024.CrossRefPubMed

Markram, K., & Markram, H. (2010). The intense world theory—A unifying theory of the neurobiology of autism. Frontiers in Human Neuroscience, 4, 224.CrossRef

McGurk, H., & MacDonald, J. (1976). Hearing lips and seeing voices. Nature, 246, 746–748.CrossRef

Megnin, O., Flitton, A., Jones, C. R. G., de Haan, M., Baldeweg, T., & Charman, T. (2012). Audiovisual speech integration in autism spectrum disorders: ERP evidence for atypicalities in lexical-semantic processing. Autism Research, 5(1), 39–48. https://doi.org/10.1002/aur.231.CrossRefPubMed

Meltzoff, A. N., & Kuhl, P. K. (1984). Infants’ representation of events: Studies in imitation, cross-modal perception, and categorization. Infant Behavior and Development, 7, 243. https://doi.org/10.1016/S0163-6383(84)80305-7.CrossRef

Ménard, L., Toupin, C., Baum, S. R., Drouin, S., Aubin, J., & Tiede, M. (2013). Acoustic and articulatory analysis of French vowels produced by congenitally blind adults and sighted adults. The Journal of the Acoustical Society of America, 134(4), 2975–2987. https://doi.org/10.1121/1.4818740.CrossRefPubMed

Mongillo, E. A., Irwin, J. R., Whalen, D. H., Klaiman, C., Carter, A. S., & Schultz, R. T. (2008). Audiovisual processing in children with and without autism spectrum disorders. Journal of Autism and Developmental Disorders, 38, 1349–1358.CrossRef

Pernet, C. R., Chauveau, N., Gaspar, C., & Rousselet, G. A. (2011). LIMO EEG: a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2011/831409.CrossRefPubMedPubMedCentral

Pion-Tonachini, L., Kreutz-Delgado, K., & Makeig, S. (2019). The ICLabel dataset of electroencephalographic (EEG) independent component (IC) features. Data in Brief, 25, 104101. https://doi.org/10.1016/j.dib.2019.104101.CrossRefPubMedPubMedCentral

R Core Team. (2019). R: A language and environment for statistical computing [Computer software]. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/. Accessed 18 February 2021.

Rosenblum, L. D., Schmuckler, M. A., & Johnson, J. A. (1997). The McGurk effect in infants. Perception and Psychophysics, 59(3), 347–357. https://doi.org/10.3758/bf03211902.CrossRefPubMed

Russo, N., Foxe, J. J., Gomes, H., Brown, A., Altschuler, T., Gomes, H., et al. (2010). Multisensory Processing in Children with Autism: High-density electrical mapping of auditory-somatosensory integration. Autism Research, 3, 1–15.CrossRef

Rutter, M., Le Couteur, A., & Lord, C. (2003). Autism diagnostic interview-revised. Los Angeles, CA: Western Psychological Services.

Samuel, A. G. (1981). Phonemic restoration: Insights from a new methodology. Journal of Experimental Psychology: General, 110(4), 474–494.CrossRef

Sassenhagen, J., & Draschkow, D. (2019). Cluster-based permutation tests of MEG/EEG data do not establish significance of effect latency or location. Psychophysiology, 56(6), e13335. https://doi.org/10.1111/psyp.13335.CrossRefPubMed

Shic, F., Macari, S., & Chawarska, K. (2014). Speech disturbs face scanning in 6-month-old infants who develop autism spectrum disorder. Biological Psychiatry, 75(3), 231–237.CrossRef

Smith, E. G., & Bennetto, L. (2007). Audiovisual speech integration and lipreading in autism. Journal of Child Psychology Psychiatry, 48(8), 813–821.CrossRef

Smith, E., Zhang, S., & Bennetto, L. (2017). Temporal synchrony and audiovisual integration of speech and object stimuli in autism. Research in Autism Spectrum Disorders, 39, 11–19.CrossRef

Stevenson, R. A., Baum, S. H., Segers, M., Ferber, S., Barense, M. D., & Wallace, M. T. (2017). Multisensory speech perception in autism spectrum disorder: From phoneme to whole-word perception. Autism Research, 10(7), 1280–1290.CrossRef

Stevenson, R. A., Segers, M., Ncube, B. L., Black, K. R., Bebko, J. M., Ferber, S., et al. (2018). The cascading influence of multisensory processing on speech perception in autism. Autism, 22(5), 609–624.CrossRef

Stevenson, R. A., Siemann, J. K., Schneider, B. C., Eberly, H. E., Woynaroski, T. G., Camarata, S. M., et al. (2014). Multisensory temporal integration in autism spectrum disorders. Journal of Neuroscience, 34(3), 691–697.CrossRef

Sumby, W. H., & Pollack, I. (1954). Visual contribution to speech intelligibility in noise. Journal of the Acoustical Society of America, 26(2), 212–215.CrossRef

van Wassenhove, V., Grant, K. W., & Poeppel, D. (2005). Visual speech speeds up the neural processing of auditory speech. Proceedings of the National Academy of Sciences of the United States of America, 102(4), 1181–1186. https://doi.org/10.1073/pnas.0408949102.CrossRefPubMedPubMedCentral

Warren, R. M. (1970). Perceptual restoration of missing speech sounds. Science, 167(3917), 392–395.CrossRef

Wechsler, D. (2011). Wechsler Abbreviated Scale of Intelligence–Second Edition (WASI-II). San Antonio, TX: NCS Pearson.

Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. New York: Springer-Verlag. Retrieved from https://ggplot2.tidyverse.org. Accessed 18 February 2021.

Woynaroski, T. G., Kwakye, L. D., Foss-Feig, J. H., Stevenson, R. A., Stone, W. L., & Wallace, M. T. (2013). Multisensory speech perception in children with autism spectrum disorders. Journal of Autism and Developmental Disorders, 43(12), 2891–2902.CrossRef

Yeung, H. H., & Werker, J. F. (2013). Lip movements affect infants’ audiovisual speech perception. Psychological Science, 24(5), 603–612.CrossRef

Titel: Audiovisual Speech Perception in Children with Autism Spectrum Disorders: Evidence from Visual Phonemic Restoration
Auteurs: Julia Irwin
Trey Avery
Daniel Kleinman
Nicole Landi
Publicatiedatum: 25-02-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 1/2022
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-021-04916-x

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