Characteristics of speech and emotional sphere of children with autism spectrum disorders

Capa

Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Acesso é pago ou somente para assinantes

Resumo

The aim of the study is to reveal the peculiarities of speech and emotional sphere of children with autism spectrum disorders (ASD). For this purpose, two studies were conducted. The participants of the studies were 445 children aged 5–16 years: 175 children with ASD and 270 typically developing children. The comprehensive methodological approach including methods of spectrographic and phonetic analysis of speech, determining the physiological indicators of a child – hearing thresholds, phonemic hearing, dichotic listening test was used. The assessment of children’s emotional sphere development was conducted by standardized Child Emotional Development Method (CEDM), which includes test tasks for children on the manifestation of emotional states in voice, speech, facial expression and emotion recognition. Based on instrumental analysis, the acoustic features of the voice and speech of children with ASD were determined, which can be considered as biomarkers of the disease. The possibility of children with ASD to manifest and recognize emotions was shown. In children with ASD, the difficulties in manifesting emotional states in voice and facial expressions, recognizing emotions by abstract images and by the speech of other children were revealed. It was shown that the disease factor – the severity of autistic disorders was more important for emotional development of a child than the factor of age. The obtained data on the child speech features and the specificity of recognition and manifestation of emotions in children with ASD in complex contribute to a more accurate identification of disease markers and can be used in the development of automatic applications for the diagnosis of ASD.

Texto integral

Acesso é fechado

Sobre autores

E. Lyakso

Saint-Petersburg State University

Autor responsável pela correspondência
Email: lyakso@gmail.com
Rússia, St Petersburg

O. Frolova

Saint-Petersburg State University

Email: lyakso@gmail.com
Ilha do Natal, St Petersburg

Bibliografia

  1. Kanner L. Autistic disturbances of affective contact // Nerv. Child. 1943. V. 2. P. 217.
  2. Wing L. The definition and prevalence of autism: A review // Eur. Child Adolesc. Psychiatry. 1993. V. 2. № 1. P. 61.
  3. Schoen E., Paul R., Chawarska K. Phonology and vocal behavior in toddlers with autism spectrum disorders // Autism Res. 2011. V. 4. № 3. P. 177.
  4. Howlin P. Outcome in high-functioning adults with autism with and without early language delays: Implications for the differentiation between autism and Asperger syndrome // J. Autism Dev. Disord. 2003. V. 33. № 1. P. 3.
  5. Grossman R.B., Edelson L.R., Tager-Flusberg H. Emotional facial and vocal expressions during story retelling by children and adolescents with high-functioning autism // J. Speech Lang. Hear. Res. 2013. V. 56. № 3. P. 1035.
  6. Vogindroukas I., Stankova M., Chelas E.N., Proedrou A. Language and speech characteristics in autism // Neuropsychiatr. Dis. Treat. 2022. V. 18. P. 2367.
  7. Lyakso E., Frolova O., Grigorev A. A comparison of acoustic features of speech of typically developing children and children with autism spectrum disorders / Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science. Springer, Cham, 2016. V. 9811. P. 43.
  8. Tek S., Mesite L., Fein D., Naigles L. Longitudinal analyses of expressive language development reveal two distinct language profiles among young children with autism spectrum disorders // J. Autism Dev. Disord. 2014. V. 44. № 1. P. 75.
  9. Alqhazo M.T., Hatamleh L.S., Bashtawi M. Phonological and lexical abilities of Jordanian children with autism // Appl. Neuropsychol. Child. 2018. V. 9. № 2. P. 116.
  10. Olivati A.G., Assumpзгo F.B. Junior, Misquiatti A.R. Acoustic analysis of speech intonation pattern of individuals with Autism Spectrum Disorders // CoDAS. 2017. V. 29. № 2. P. e20160081.
  11. Lehnert-LeHouillier H., Terrazas S., Sandoval S. Prosodic Entrainment in Conversations of Verbal Children and Teens on the Autism Spectrum // Front. Psychol. 2020. V. 11. P. 582221.
  12. Diehl J.J., Paul Rh. Acoustic differences in the imitation of prosodic patterns in children with autism spectrum disorders // Res. Autism Spectr. Disord. 2012. V. 6. № 1. P. 123.
  13. Bonneh Y.S., Levanov Y., Dean-Pardo O. et al. Abnormal speech spectrum and increased pitch variability in young autistic children // Front. Hum. Neurosci. 2011. V. 4. P. 237.
  14. Hubbard K., Trauner D.A. Intonation and emotion in autistic spectrum disorders // J. Psycholinguist Res. 2007. V. 36. № 2. P. 159.
  15. Aldridge M.A., Stone K.R., Sweeney M.H., Bower T.G.R. Preverbal children with autism understand the intentions of others // Dev. Sci. 2001. V. 3. № 3. P. 294.
  16. Talbott M.R., Young G.S., Munson J. et al. The developmental sequence and relations between gesture and spoken language in toddlers with autism spectrum disorder // Child Dev. 2018. V. 91. № 3. P. 743.
  17. Belmonte M.K., Allen G., Beckel-Mitchener A. et al. Autism and abnormal development of brain connectivity // J. Neurosci. 2004. V. 24. № 42. P. 9228.
  18. Morrel J., Singapuri K., Landa R.J., Reetzke R. Neural correlates and predictors of speech and language development in infants at elevated likelihood for autism: A systematic review // Front. Hum. Neurosci. 2023. V. 17. P. 1211676.
  19. Lуpez-Hurtado E., Prieto J.J. A microscopic study of language-related cortex in autism // Am. J. Biochem. Biotechnol. 2008. V. 4. № 2. P. 130.
  20. Crutcher J., Martin A., Wallace G.L. Dissociations in the neural substrates of language and social functioning in autism spectrum disorder // Autism Res. 2018. V. 11. № 8. P. 1175.
  21. Arciuli J., Colombo L., Surian L. Lexical stress contrastivity in Italian children with autism spectrum disorders: An exploratory acoustic study // J. Child Lang. 2020. V. 47. № 4. P. 870.
  22. Nakai Y., Takashima R., Takiguchi T., Takada S. Speech intonation in children with autism spectrum disorder // Brain Dev. 2014. V. 36. № 6. P. 516.
  23. Filipe M.G., Frota S., Castro S.L., Vicente S.G. Atypical prosody in Asperger syndrome: Perceptual and acoustic measurements // J. Autism Dev. Disord. 2014. V. 44. № 8. P. 1972.
  24. Sharda M., Subhadra T.P., Sahaya S. et al. Sounds of melody—Pitch patterns of speech in autism // Neurosci. Lett. 2010. V. 478. № 1. P. 42.
  25. Diehl J.J., Watson D.G., Bennetto L. et al. An acoustic analysis of prosody in high-functioning autism // Appl. Psycholinguist. 2009. V. 30. P. 385.
  26. des Portes V. Intellectual disability // Handb. Clin. Neurol. 2020. V. 174. P. 113.
  27. Fridenson-Hayo S., Berggren S., Lassalle A. et al. Basic and complex emotion recognition in children with autism: cross-cultural findings // Mol. Autism. 2016. V. 7. P. 52.
  28. Russel J.A., Bachorowski J.A., Fernandez-Dols J.-M. Facial and vocal expressions of emotion // Annu. Rev. Psychol. 2002. V. 54. № 1. P. 329.
  29. Restoy D., Oriol-Escudй M., Alonzo-Castillo T. et al. Emotion regulation and emotion dysregulation in children and adolescents with Autism Spectrum Disorder: A meta-analysis of evaluation and intervention studies // Clin. Psychol. Rev. 2024. V. 109. P. 102410.
  30. Paine A.L., van Goozen S.H.M., Burley D.T. et al. Facial emotion recognition in adopted children // Eur. Child Adolesc. Psychiatry. 2023. V. 32. № 1. P. 87.
  31. Harms M.B., Martin A., Wallace G.L. Facial emotion recognition in autism spectrum disorders: A review of behavioral and neuroimaging studies // Neuropsychol. Rev. 2010. V. 20. № 3. P. 290.
  32. Rajiv M.A., Marcus R., Isabel D., Philipp S. Unconscious avoidance of eye contact in autism spectrum disorder // Sci. Rep. 2017. V. 7. № 1. P. 13378.
  33. Kliemann D., Dziobek I., Hatri A. et al. Atypical reflexive gaze patterns on emotional faces in autism spectrum disorders // J. Neurosci. 2010. V. 30. № 37. P. 12281.
  34. Lyakso E., Frolova O., Nikolaev A. et al. How children recognize emotions from video and audio / Speech and Computer. SPECOM 2024. Lecture Notes in Computer Science. Springer, Cham, 2025. V. 15300. P. 138.
  35. Drimalla H., Baskow I., Behnia B. et al. Imitation and recognition of facial emotions in autism: A computer vision approach // Mol. Autism. 2021. V. 12. № 1. P. 27.
  36. Mesnyankina K.K., Sarelajnen A.I., Anishhenko S.I., Fedoryaka K.A. Teaching children with autism spectrum disorders to recognize emotions from facial expressions and to express emotions using facial expressions / Comprehensive support for children with autism spectrum disorders: Collection of materials of the 1st Russian scientific and practical conference. December 14–16, 2016. Moscow: FGBOU VO MGPPU, 2016. P. 330.
  37. Zhang M., Xu S., Chen Y. et al. Recognition of affective prosody in autism spectrum conditions: A systematic review and meta-analysis // Autism. 2022. V. 26. № 4. P. 798.
  38. Lyakso E., Frolova O., Kleshnev E. et al. Approbation of the Child’s Emotional Development Method (CEDM) / Companion Publication of the 2022 International Conference on Multimodal Interaction (ICMI’22 Companion). November 7–11, Bengaluru, India, 2022. New York, NY, USA, 2022. P. 201.
  39. Likert R. A technique for the measurement of atitudes // Archives of Psychology. 1932. V. 22. P. 5.
  40. Diagnostic and statistical manual of mental disorders. Fifth edition. American Psychiatric Association. Washington, London, England: New School Library, 2013. 1051 p.
  41. Schopler E., Reichler R.J., DeVellis R.F., Daly K. Toward objective classification of childhood autism: Childhood Autism Rating Scale (CARS) // J. Autism Dev. Disord. 1980. V. 10. № 1. P. 91.
  42. Roy N., Nissen S.L., Dromey C., Sapir S. Articulatory changes in muscle tension dysphonia: Evidence of vowel space expansion following manual circumlaryngeal therapy // J. Commun. Disord. 2009. V. 42. № 2. P. 124.
  43. Lyakso E., Frolova O., Nikolaev A. Voice and speech features as diagnostic symptom / Psychological Applications and Trends 2021 // Eds. Pracana C., Wang M. Lisboa, Portugal: Science Press, 2021. P. 259.
  44. Briend F., David C., Silleresi S. et al. Voice acoustics allow classifying autism spectrum disorder with high accuracy // Transl. Psychiatry. 2023. V. 13. № 1. P. 250.
  45. Lyakso E.E., Frolova O.V., Grigorev A.S. et al. Speech features of 13–15 year-old children with autism spectrum disorders / Speech and Computer. SPECOM 2020. Lecture Notes in Computer Science, Springer, Cham, 2020. V. 12335. P. 291.
  46. 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. 2021. V. 11. № 1. P. 23093.
  47. Rosenhall U., Nordin V., Sandstrom M. et al. Autism and hearing loss // J. Autism Dev. Disord. 1999. V. 29. № 5. P. 349.
  48. Frolova O.V., Kleshnev E.A., Grigorev A.S. et al. Assessment of the emotional sphere of children with typical development and autism spectrum disorders based on an interdisciplinary approach // Human Physiology. 2023. V. 49. № 3. P. 216.
  49. Gehdu B.K, Tsantani M., Press C. et al. Recognition of facial expressions in autism: Effects of face masks and alexithymia // Q. J. Exp. Psychol. 2023. V. 76. № 12. P. 2854.
  50. Pitt A.R., Osabuohien L.W., Brady N.C. Phonemic feature scoring as a tool for progress monitoring during language interventions for children with autism and minimal verbal skills // Am. J. Speech Lang. Pathol. 2024. V. 33. № 2. P. 676.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
Baixar
2. Fig. 1. Values of the fundamental frequency (FPF) of stressed vowels in words of children with typical development (TD) and children with autism spectrum disorders (ASD) in the age dynamics of 5-16 years (medians). Along the horizontal axis is the age of children, years; along the vertical axis are the FPF values in Hz. In the histograms: gray color - data for TD children, black - children with ASD-1, oblique shading - children with ASD-2.

Baixar (1MB)
Metadados
3. Fig. 2. Values of the articulation index of stressed vowels (AIV) in words of children of the three groups (medians).

Baixar (466KB)
Metadados
4. Fig. 3. Values of the third formant F3 in stationary sections of stressed vowels of children's words (medians).

Baixar (472KB)
Metadados
5. Fig. 4. Scores for the performance of children with typical development (TD) and children with autism spectrum disorders (ASD) on test tasks on the scales "Reflection of emotions" and "Recognition of emotions". The vertical axis shows the scores, the horizontal axis shows the test task. Histograms: grey shows data for children with TD, black shows data for children with ASD.

Baixar (1MB)
Metadados

Declaração de direitos autorais © Russian Academy of Sciences, 2025