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Verbal entrainment in autism spectrum disorder and first-degree relatives

Verbal entrainment in autism spectrum disorder and first-degree relatives

 


  • Manson, J. H., Bryant, G. A., Gervais, M. M. & Kline, M. A. Convergence of speech rate in conversation predicts cooperation. Evol. Hum. Behav. 34, 419–426 (2013).


    Google Scholar
     

  • Pardo, J. S. On phonetic convergence during conversational interaction. J. Acoust. Soc. Am. 119, 2382–2393 (2006).

    ADS 
    PubMed 

    Google Scholar
     

  • Semin, G. R. & Cacioppo, J. T. Grounding social cognition: Synchronization, coordination, and co-regulation. Embodied Grounding Soc. Cogn. Affect. Neurosci. Approaches 119–147 (2008).

  • Ireland, M. E. et al. Language style matching predicts relationship initiation and stability. Psychol. Sci. 22, 39–44 (2011).

    PubMed 

    Google Scholar
     

  • De Looze, C., Scherer, S., Vaughan, B. & Campbell, N. Investigating automatic measurements of prosodic accommodation and its dynamics in social interaction. Speech Commun. 58, 11–34 (2014).


    Google Scholar
     

  • Perez, J., Galvez, R. & Gravano, A. Disentrainment may be a positive thing: A novel measure of unsigned acoustic-prosodic synchrony, and its relation to speaker engagement. in Proceedings of Interspeech 1270–1274 (2016).

  • American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Publishing, 2013).


    Google Scholar
     

  • Asghari, S. Z., Farashi, S., Bashirian, S. & Jenabi, E. Distinctive prosodic features of people with autism spectrum disorder: A systematic review and meta-analysis study. Sci. Rep. 11, 23093 (2021).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Shriberg, L., Paul, R., McSweeny, J., Klin, A. & Volkmar, F. R. Speech and prosody characteristics of adolescents and adults with high-functioning autism and Asperger syndrome. J. Speech Lang. Hear. Res. 44, 1097–1115 (2001).

    CAS 
    PubMed 

    Google Scholar
     

  • Pronovost, W., Wakstein, M. P. & Wakstein, D. J. A longitudinal study of the speech behavior and language comprehension of fourteen children diagnosed atypical or autistic. Except Child. 33, 19–26 (1966).

    CAS 
    PubMed 

    Google Scholar
     

  • Hubbard, D. J., Faso, D. J., Assmann, P. F. & Sasson, N. J. Production and perception of emotional prosody by adults with autism spectrum disorder. Autism Res. 10, 1991–2001 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Paul, R., Bianchi, N., Augustyn, A., Klin, A. & Volkmar, F. R. Production of syllable stress in speakers with autism spectrum disorders. Res. Autism Spectr. Disord. 2, 110–124 (2008).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Patel, S. P. et al. An acoustic characterization of prosodic differences in autism spectrum disorder and first-degree relatives. J. Autism Dev. Disord. 50, 3032–3045 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gregory, S. Analysis of fundamental frequency reveals covariation in interview partners’ speech. J. Nonverbal Behav. 14, 237–251 (1990).


    Google Scholar
     

  • Levitan, R. et al. Acoustic-prosodic entrainment and social behavior. in Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human language technologies 11–19 (2012).

  • Brennan, S. E. & Clark, H. H. Conceptual pacts and lexical choice in conversation. J. Exp. Psychol. Learn. Mem. Cogn. 22, 1482–1493 (1996).

    CAS 
    PubMed 

    Google Scholar
     

  • Allen, M. L., Haywood, S., Rajendran, G. & Branigan, H. Evidence for syntactic alignment in children with autism. Dev. Sci. 14, 540–548 (2011).

    PubMed 

    Google Scholar
     

  • Branigan, H. P., Pickering, M. J., Pearson, J., McLean, J. F. & Brown, A. The role of beliefs in lexical alignment: Evidence from dialogs with humans and computers. Cognition 121, 41–57 (2011).

    PubMed 

    Google Scholar
     

  • Garrod, S. & Anderson, A. Saying what you mean in dialogue: A study in conceptual and semantic co-ordination. Cognition 27, 181–218 (1987).

    CAS 
    PubMed 

    Google Scholar
     

  • Kruyt, J. & Beňuš, Š. Prosodic entrainment in individuals with autism spectrum disorder. Top. Linguist. 22, 47–61 (2021).


    Google Scholar
     

  • Landa, R. et al. Social language use in parents of autistic individuals. Psychol. Med. 22, 245–254 (1992).

    CAS 
    PubMed 

    Google Scholar
     

  • Losh, M. et al. Defining genetically meaningful language and personality traits in relatives of individuals with fragile X syndrome and relatives of individuals with autism. Am. J. Med. Genet. B. Neuropsychiatr. Genet. 159B, 660–668 (2012).

    PubMed 

    Google Scholar
     

  • Losh, M., Childress, D., Lam, K. & Piven, J. Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. Off. Publ. Int. Soc. Psychiatr. Genet. 147B, 424–433 (2008).


    Google Scholar
     

  • Braff, D. L. The importance of endophenotypes in schizophrenia research. Schizophr. Res. 163, 1–8 (2015).

    PubMed 

    Google Scholar
     

  • Kendler, K. S. & Neale, M. C. Endophenotype: A conceptual analysis. Mol. Psychiatry 15, 789–797 (2010).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Walters, J. T. R. & Owen, M. J. Endophenotypes in psychiatric genetics. Mol. Psychiatry 12, 886–890 (2007).

    CAS 
    PubMed 

    Google Scholar
     

  • Almasy, L. et al. Human pedigree-based quantitative-trait-locus mapping: Localization of two genes influencing HDL-cholesterol metabolism. Am. J. Hum. Genet. 64, 1686–1693 (1999).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Williams, R. B. et al. Central nervous system serotonin and clustering of hostility, psychosocial, metabolic, and cardiovascular endophenotypes in men. Psychosom. Med. 72, 601–607 (2010).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mitchell, B. D. et al. Diabetes and hypertension in Mexican American families: Relation to cardiovascular risk. Am. J. Epidemiol. 149, 1047–1056 (1999).

    CAS 
    PubMed 

    Google Scholar
     

  • Gur, R. E. et al. The consortium on the genetics of schizophrenia: Neurocognitive endophenotypes. Schizophr. Bull. 33, 49–68 (2006).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gottesman, I. I. & Shields, J. Schizophrenia and Genetics (Academic Press, 1972).


    Google Scholar
     

  • Bolton, P. et al. A case–control family history study of autism. J. Child Psychol. Psychiatry. 35, 877–900 (1994).

    CAS 
    PubMed 

    Google Scholar
     

  • Piven, J. et al. Personality and language characteristics in parents from multiple-incidence autism families. Am. J. Med. Genet. 74, 398–411 (1997).

    CAS 
    PubMed 

    Google Scholar
     

  • Frazier, T. W. et al. Quantitative autism symptom patterns recapitulate differential mechanisms of genetic transmission in single and multiple incidence families. Mol. Autism 6, 58 (2015).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Whitehouse, A., Coon, H., Miller, J., Salisbury, B. & Bishop, D. V. M. Narrowing the broader autism phenotype: A study using the Communication Checklist-Adult Version (CC-A). Autism 14, 559–574 (2010).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lindgren, K. A., Folstein, S. E., Tomblin, J. B. & Tager-Flusberg, H. Language and reading abilities of children with autism spectrum disorders and specific language impairment and their first-degree relatives. Autism Res. 2, 22–38 (2009).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Patel, S. P., Kim, J. H., Larson, C. R. & Losh, M. Mechanisms of voice control related to prosody in autism spectrum disorder and first-degree relatives. Autism Res. 12, 1192–1210 (2019).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Russo, N., Larson, C. R. & Kraus, N. Audio-vocal system regulation in children with autism spectrum disorders. Exp. Brain Res. 188, 111–124 (2008).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gambi, C. & Pickering, M. J. Prediction and imitation in speech. Front. Psychol. 4, 340 (2013).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wynn, C. J., Borrie, S. A. & Sellers, T. P. Speech rate entrainment in children and adults with and without autism spectrum disorder. Am. J. Speech Lang. Pathol. 27, 965–974 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bone, D. et al. The psychologist as an interlocutor in autism spectrum disorder assessment: Insights from a study of spontaneous prosody. J. Speech Lang. Hear. Res. 57, 1162–1177 (2014).

    PubMed 

    Google Scholar
     

  • Neely, J. H. Semantic priming and retrieval from lexical memory: Roles of inhibitionless spreading activation and limited-capacity attention. J. Exp. Psychol. Gen. 106, 226–254 (1977).


    Google Scholar
     

  • Branigan, H. P., Tosi, A. & Gillespie-Smith, K. Spontaneous lexical alignment in children with an autistic spectrum disorder and their typically developing peers. J. Exp. Psychol. Learn. Mem. Cogn. 42, 1821–1831 (2016).

    PubMed 

    Google Scholar
     

  • Hopkins, Z., Yuill, N. & Branigan, H. P. Inhibitory control and lexical alignment in children with an autism spectrum disorder. J. Child Psychol. Psychiatry 58, 1155–1165 (2017).

    PubMed 

    Google Scholar
     

  • Toichi, M. & Kamio, Y. Verbal association for simple common words in high-functioning autism. J. Autism Dev. Disord. 31, 483–490 (2001).

    CAS 
    PubMed 

    Google Scholar
     

  • Harper-Hill, K., Copland, D. & Arnott, W. Efficiency of lexical access in children with autism spectrum disorders: Does modality matter?. J. Autism Dev. Disord. 44, 1819–1832 (2014).

    PubMed 

    Google Scholar
     

  • Henderson, L. M., Clarke, P. J. & Snowling, M. J. Accessing and selecting word meaning in autism spectrum disorder. J. Child Psychol. Psychiatry 52, 964–973 (2011).

    CAS 
    PubMed 

    Google Scholar
     

  • Kamio, Y. & Toichi, M. Dual access to semantics in autism: Is pictorial access superior to verbal access?. J. Child Psychol. Psychiatry 41, 859–867 (2000).

    CAS 
    PubMed 

    Google Scholar
     

  • Kamio, Y., Robins, D., Kelley, E., Swainson, B. & Fein, D. Atypical lexical/semantic processing in high-functioning autism spectrum disorders without early language delay. J. Autism Dev. Disord. 37, 1116–1122 (2007).

    PubMed 

    Google Scholar
     

  • Slocombe, K. E. et al. Linguistic alignment in adults with and without Asperger’s syndrome. J. Autism Dev. Disord. 43, 1423–1436 (2013).

    PubMed 

    Google Scholar
     

  • Losh, M. & Capps, L. Narrative ability in high-functioning children with autism or Asperger’s syndrome. J. Autism Dev. Disord. 33, 239–251 (2003).

    PubMed 

    Google Scholar
     

  • Lord, C. et al. Autism Diagnostic Observation Schedule 2nd edn. (Western Psychological Corporation, 2012).


    Google Scholar
     

  • Wechsler, D. Wechsler Abbreviated Scale of Intelligence (WASI) (1999).

  • Wechsler, D. Wechsler Intelligence Scale for Children 4th edn. (The Psychological Corporation, 2003).


    Google Scholar
     

  • Reichel, U. & Cole, J. Entrainment analysis of categorical intonation representations. in Proceedings of Phonetics & Phonology 165–168 (2016).

  • ELAN. (2017).

  • Carletta, J. et al. The reliability of a dialogue structure coding scheme. Comput. Linguist. 23, 13–31 (1997).


    Google Scholar
     

  • Reichel, U. CoPaSul Manual—Contour-based parametric and superpositional intonation stylization (2016).

  • Heinrich, C. & Schiel, F. The influence of alcoholic intoxication on the short-time energy function of speech. J. Acoust. Soc. Am. 135, 2942–2951 (2014).

    ADS 
    PubMed 

    Google Scholar
     

  • Cole, J., Roettger, T., Reichel, U. & Mády, K. Prosodic entrainment in dialog acts (2018).

  • Kassambara, A. & Mundt, F. Package ‘factoextra.’ extract and visualize the results of multivariate data analyses (2016).

  • Raiche, G. nFactors: An R package for parallel analysis and non-graphical solutions to the Cattell scree tests (2010).

  • Duran, N. D., Paxton, A. & Fusaroli, R. ALIGN: Analyzing linguistic interactions with generalizable techNiques—A Python library. Psychol. Methods 24, 419–438 (2019).

    PubMed 

    Google Scholar
     

  • Mikolov, T., Chen, K., Corrado, G. & Dean, J. Efficient estimation of word representations in vector space. arXiv:1301.3781 (2013).

  • Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. arXiv:1406.58231 (2014).

  • Healey, P. G. T., Purver, M. & Howes, C. Divergence in dialogue. PLoS One 9, e98598 (2014).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Levitan, R. et al. Implementing acoustic-prosodic entrainment in a conversational avatar. in Proceedings of Interspeech 1166–1170 (2016).

  • Schweitzer, A. & Walsh, M. Exemplar dynamics in phonetic convergence of speech rate. in Proceedings of Interspeech (2016).

  • Beňuš, Š. Social aspects of entrainment in spoken interaction. Cognit. Comput. 6, 802–813 (2014).


    Google Scholar
     

  • Michalsky, J., Schoormann, H. & Schultze, T. Towards the prosody of persuasion in competitive negotiation. The relationship between f0 and negotiation success in same sex sales tasks. in Proceedings of Interspeech 311–315 (2019).

  • Filipe, M. G., Frota, S., Castro, S. L. & Vicente, S. G. Atypical prosody in Asperger syndrome: Perceptual and acoustic measurements. J. Autism Dev. Disord. 44, 1972–1981 (2014).

    PubMed 

    Google Scholar
     

  • Tsuang, M. T., Bar, J. L., Stone, W. S. & Faraone, S. V. Gene–environment interactions in mental disorders. World Psychiatry 3, 73–83 (2004).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lehnert-LeHouillier, H., Terrazas, S. & Sandoval, S. Prosodic entrainment in conversations of verbal children and teens on the autism spectrum. Front. Psychol. 11, 2718 (2020).


    Google Scholar
     

  • DePape, A.-M.R., Chen, A., Hall, G. B. C. & Trainor, L. J. Use of prosody and information structure in high functioning adults with autism in relation to language ability. Front. Psychol. 3, 72 (2012).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Menshikova, A., Kocharov, D. & Kachkovskaia, T. Lexical Entrainment and Intra-Speaker Variability in Cooperative Dialogues. in Interspeech 2021 1957–1961 (ISCA, 2021). https://doi.org/10.21437/Interspeech.2021-1441

  • Sedgewick, F., Hill, V., Yates, R., Pickering, L. & Pellicano, E. Gender differences in the social motivation and friendship experiences of autistic and non-autistic adolescents. J. Autism Dev. Disord. 46, 1297–1306 (2016).

    PubMed 

    Google Scholar
     

  • Van Wijngaarden-Cremers, P. J. M. et al. Gender and age differences in the core triad of impairments in autism spectrum disorders: A systematic review and meta-analysis. J. Autism Dev. Disord. 44, 627–635 (2014).

    PubMed 

    Google Scholar
     

  • Parish-Morris, J. et al. Linguistic camouflage in girls with autism spectrum disorder. Mol. Autism 8, 48 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Crompton, C. J. et al. Neurotype-matching, but not being autistic, influences self and observer ratings of interpersonal rapport. Front. Psychol. 11, 2961 (2020).


    Google Scholar
     

  • Morrison, K. E. et al. Outcomes of real-world social interaction for autistic adults paired with autistic compared to typically developing partners. Autism 24, 1067–1080 (2020).

    PubMed 

    Google Scholar
     

  • Rifai, O. M., Fletcher-Watson, S., Jiménez-Sánchez, L. & Crompton, C. J. Investigating markers of rapport in autistic and nonautistic interactions. Autism Adulthood https://doi.org/10.1089/aut.2021.0017 (2021).

    Article 

    Google Scholar
     

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