Speech understanding in primary schoolchildren with autism spectrum disorders and its relationship with EEG characteristics. Part II

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 article presents the second part of the comprehensive study of speech understanding and comprehension in children with autism spectrum disorders (ASD). We present results of evaluation of expressive speech at the level of phonology, lexicon, morphosyntax and discourse in primary schoolchildren with ASD. The study revealed correlations between the severity of autistic manifestations and non-verbal intelligence and the level of expressive speech. Comparison of the correlations in the subgroups of children with different levels of functioning revealed that children with greater expression of autistic manifestations and lower indices of non-verbal intelligence demonstrate decreased level of expressive speech. We revealed differences in EEG spectral characteristics between subgroups with ASD with different levels of functioning: in the subgroup with less pronounced disorders, a higher level of speech generation correlates with a lower index of β2-activity, in the group with more pronounced ones – with a lower index of slow-wave activity.

Texto integral

Acesso é fechado

Sobre autores

E. Davydova

Moscow State University of Psychology and Education

Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

K. Salimova

Moscow State University of Psychology and Education

Autor responsável pela correspondência
Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

D. Davydov

Moscow State University of Psychology and Education

Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

D. Pereverzeva

Moscow State University of Psychology and Education

Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

U. Mamokhina

Moscow State University of Psychology and Education

Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

K. Danilina

Moscow State University of Psychology and Education

Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

S. Tyushkevich

Moscow State University of Psychology and Education

Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

N. Gorbachevskaya

Moscow State University of Psychology and Education

Email: salimovakr@mgppu.ru

Federal Resource Center for Comprehensive Support for Children with Autism Spectrum Disorders

Rússia, Moscow

Bibliografia

  1. Wang S., Sun Z., Martinez-Tejada L.A., Yoshimura N. Comparison of autism spectrum disorder subtypes based on functional and structural factors // Front. Neurosci. 2024. V. 18. P. 1440222.
  2. Yoon S.H., Choi J., Lee W.J., Do J.T. Genetic and epigenetic etiology underlying autism spectrum disorder // J. Clin. Med. 2020. V. 9. № 4. P. 966.
  3. Waye M.M., Cheng H.Y. Genetics and epigenetics of autism: A review // Psychiatry Clin. Neurosci. 2018. V. 72. № 4. P. 228.
  4. Karimi P., Kamali E., Mousavi S.M., Karahmadi M. Environmental factors influencing the risk of autism // J. Res. Med. Sci. 2017. V. 22. № 1. P. 27.
  5. Rajabi P., Noori A.S., Sargolzaei J. Autism spectrum disorder and various mechanisms behind it // Pharmacol. Biochem. Behav. 2024. V. 245. P. 173887.
  6. Mamokhina U.A. [Speech features in autism spectrum disorders] // Autizm i Narusheniya Razvitiya. 2017. V. 15. № 3. P. 24.
  7. Vogindroukas I., Stankova M., Chelas E.N., Proedrou A. Language and speech characteristics in autism // Neuropsychiatr. Dis. Treat. 2022. V. 18. P. 2367.
  8. Yankowitz L.D., Schultz R.T., Parish-Morris J. Pre- and paralinguistic vocal production in ASD: Birth through school age // Curr. Psychiatry Rep. 2019. V. 21. № 12. P. 126.
  9. Arutiunian V., Lopukhina A., Minnigulova A. et al. Expressive and receptive language in Russian primary-school-aged children with autism spectrum disorder // Res. Dev. Disabil. 2021. V. 117. P. 104042.
  10. Youssofzadeh V., Babajani-Feremi A. Mapping critical hubs of receptive and expressive language using MEG: A comparison against fMRI // Neuroimage. 2019. V. 201. P. 116029.
  11. Filice F., Janickova L., Henzi T. et al. The Parvalbumin hypothesis of autism spectrum disorder // Front. Cell. Neurosci. 2020. V. 14. P. 577525.
  12. Thurm A., Lord C., Lee L., Newschaffer C. Predictors of language acquisition in preschool children with autism spectrum disorders // J. Autism Dev. Disord. 2007. V. 37. № 9. P. 1721.
  13. Masi A., DeMayo M.M., Glozier N., Guastella A.J. An overview of autism spectrum disorder, heterogeneity and treatment options // Neurosci. Bull. 2017. V. 33. № 2. P. 183.
  14. Peristeri E., Andreou M., Tsimpli I. Story structure complexity in the narratives of highland low-language ability children with autism spectrum disorder // Front. Psychol. 2017. V. 8. P. 2027.
  15. Ellis Weismer S. Developmental language disorders: Challenges and implications of cross-group comparisons // Folia Phoniatr. Logop. 2013. V. 65. № 2. P. 68.
  16. Williams D., Payne H., Marshall C. Non-word repetition impairment in autism and specific language impairment: Evidence for distinct underlying cognitive causes // J. Autism Dev. Disord. 2013. V. 43. № 2. P. 404.
  17. Lord C., Risi S., Pickles A. Trajectory of language development in autistic spectrum disorders / Deve-lopmental Language Disorders: From Phenotypes to Etiologies // Eds. Rice M., Warren S. New York: Psychology Press, 2004. 248 p.
  18. Hage S.V.R., Sawasaki L.Y., Hyter Y., Fernandes F.D.M. Social Communication and pragmatic skills of children with autism spectrum disorder and developmental language disorder // Codas. 2021. V. 34. № 2. P. e20210075.
  19. Belmonte M.K., Saxena-Chandhok T., Cherian R. et al. Oral motor deficits in speech-impaired children with autism // Front. Integr. Neurosci. 2013. V. 7. № 47. P. 1.
  20. Balciuniene I., Kornev A.N. [Speech and oral discourse in a child with autism spectrum disorder: A case study of spontaneous bilingualism. Part II: Psycholinguistic Assessment] // Autizm i Narusheniya Razvitiya. 2023. V. 21. № 2. P. 15.
  21. Schaeffer J., Abd El-Raziq M., Castroviejo E. et al. Language in autism: Domains, profiles and co-occurring conditions // J. Neural. Transm. (Vienna). 2023. V. 130. № 3. P. 433.
  22. Tager-Flusberg H., Kasari C. Minimally verbal school-aged children with autism spectrum disorder: Еhe neglected end of the spectrum // Autism Res. 2013. V. 6. № 6. P. 468.
  23. Lord K., Ratter M., DiLavore P. et al. ADOS-2: The Autism Diagnostic Observation Schedule. 2nd Edition: Manual. Western Psychological Services: Giunti O.S., 2016. 446 p.
  24. Lopukhina A., Akinina J., Chrabaszcz A. et al. Test for assessment of language development in Russian “KORABLIK” / Proceedings of the Satellite of AMLaP conference “Typical and atypical language development symposium”. 4–6 September 2019. Moscow: HSE University, 2019. P. 30.
  25. Gomozova M.A., Arutiunian V.G., Lopukhina A.A., Dragoy O.V. [Russian child language assessment battery (RuCLAB) and its application in primary school children with ASD] // Autizm i Narusheniya Razvitiya. 2021. V. 19. № 4. P. 24.
  26. Gorbachevskaya N.L., Mitrofanov A.A. The role of quantitative methods of electroencephalogram analysis in child psychiatry // Medicinskij Alfavit [Medical Alphabet]. 2008. V. 4. № 17. P. 13.
  27. Davydova E.Y., Salimova K.R., Davydov D.V. et al. Understanding speechin primary schoolchildren with autism spectrum disorders and its relationship with EEG characteristics. Part I // Human Physiology. 2023. V. 49. № 3. P. 225.
  28. Trayvick J., Barkley S.B., McGowan A. et al. Speech and language patterns in autism: Towards natural language processing as a research and clinical tool // Psychiatry Res. 2024. V. 340. P. 116109.
  29. Taylor M.J., Charman T., Robinson E.B. et al. Language and traits of autism spectrum conditions: Evidence of limited phenotypic and etiological overlap // Am. J. Med. Genet. B. 2014. V. 165. № 7. P. 587.
  30. Viglioco G., Ponari M., Norbury C. Learning and processing abstract words and concepts: Insights from typical and atypical development // Top. Cogn. Sci. 2018. V. 10. № 3. P. 533.
  31. Kwok E.Y.L., Brown H.M., Smyth R.E., Cardy J.O. Meta-analysis of receptive and expressive language skills in autism spectrum disorder // Res. Autism Spectr. Disord. 2015. V. 9. P. 202.
  32. Armon-Lotem S., Meir N. Diagnostic accuracy of repetition tasks for the identification of specific language impairment (SLI) in bilingual children: Evidence from Russian and Hebrew // Int. J. Lang. Commun. Disord. 2016. V. 51. № 6. P. 715.
  33. Rujas I., Mariscal S., Murillo E., Lázaro M. Sentence repetition tasks to detect and prevent language difficulties: a scoping review // Children. 2021. V. 8. № 7. P. 578.
  34. Milovanovic M., Grujicic R. Electroencephalography in assessment of autism spectrum disorders: A review // Front. Psychiatry. 2021. V. 12. P. 686021.
  35. Abbas A.K., Azemi G., Amiri S. et al. Effective connectivity in brain networks estimated using EEG signals is altered in children with ADHD // Comput. Biol. Med. 2021. V. 134. P. 104515.
  36. Juarez P., Martínez Cerdeño V. Parvalbumin and parvalbumin chandelier interneurons in autism and other psychiatric disorders // Front. Psychiatry. 2022. V. 13. P. 913550.
  37. Gorbachevskaya N.L. [EEG formation in children in norm and in general (pervasive) developmental disorders]. Author's abstract of Ph. D. in biology. М.: MSU, 2000. 43 p.
  38. Salimova K.R. [Neurophysiological correlates of impaired development in autism spectrum disorders (ASD)] // Uspehi Sovremennoi Biologii. 2021. V. 141. № 6. P. 557.
  39. Luschekina E.A., Haerdinova O.Y., Novototsky-Vlasov V.Y. et al. [EEG synchronisation in autistic children. Analysis of coherency] // Zh. Vyssh. Nerv. Deiat. Im I.P. Pavlova. 2015. V. 65. № 1. P. 72.
  40. Kozhushko N.J., Nagornova Z.V., Evdokimov S.A. et al. Specificity of spontaneous EEG associated with different levels of cognitive and communicative dysfunctions in children // Int. J. Psychophysiol. 2018. V. 128. P. 22.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
2. Fig. 1. Correlation of the spectral characteristics of the electroencephalogram (the "closed eyes" test) with the "Total text production score" parameter. The p-value maps of the spectral power are presented in 1 Hz ranges in the interval from 0.5 to 30 Hz. The scale on the right reflects the p-value and the correlation sign: for R < 0, the p-values are shown with the "-" sign, for R > 0 - with the "+" sign. Data from top to bottom: group 8.1, group 8.2.

Baixar (2MB)
3. Fig. 2. Correlation of the spectral characteristics of the electroencephalogram (the "closed eyes" test) with the "ADOS-2 raw score" parameter. The p-value maps of the spectral power are presented in 1 Hz ranges in the interval from 0.5 to 30 Hz. The scale on the right shows the p-value and the correlation sign: for R < 0, the p-values are shown with a “–” sign, for R > 0 – with a “+” sign. Data from top to bottom: group 8.1, group 8.2.

Baixar (3MB)
4. Fig. 3. Relative indicators for the speech production subtests for subgroups 8.1 (dark bars) and 8.2 (light bars). * – p < 0.05 according to the Mann–Whitney criterion.

Baixar (1MB)

Declaração de direitos autorais © Russian Academy of Sciences, 2025