Clinical Psychology and Special Education
2023. Vol. 12, no. 1, 180–212
doi:10.17759/cpse.2023120108
ISSN: 2304-0394 (online)
Difficulty with Speech Perception in the Background of Noise in Children with Autism Spectrum Disorders Is Not Related to Their Level of Intelligence
Abstract
Children with autism spectrum disorders (ASD) have more difficulty than typically developing peers understanding speech in noisy environments. Underlying this difficulty may be their decreased noise tolerance and/or difficulty integrating fragments of speech over temporal gaps, which usually present in noise. We investigated the role of these factors in children with ASD with a wide range of cognitive abilities. The sample consisted of 42 children with ASD and 38 typically developing children aged 7–12 years. The participants were asked to repeat two-syllable words presented in the background of noise. Two types of masking were used: stationary noise and amplitude-modulated noise. Intelligence was assessed using the Kaufman Assessment Battery for Children (KABC-II). The results show that children with ASD are worse at recognizing words in stationary noise than typically developing children. Even after adjusting for performance in stationary noise, the presence of gaps in the amplitude-modulated noise improved their performance to a lesser degree than in typically developing children (F(1,75)=18.57, p<0.001). Neither performance in stationary noise nor the ability to benefit from gaps in amplitude-modulated noise correlated with IQ in children with ASD (Spearman's coefficients, all p>0.80). We concluded that difficulties with speech perception in noise in children with ASD do not depend on the level of their cognitive abilities and are associated with two separate factors: low noise tolerance and poor temporal integration of phonemes into the auditory word form.
General Information
Keywords: autism, autism spectrum disorders, speech perception in noise, intelligence, phoneme perception, temporal integration of phonemes, cocktail party problem
Journal rubric: Empirical Research
Article type: scientific article
DOI: https://doi.org/10.17759/cpse.2023120108
Funding. The research was conducted within the framework of the state assignment of the Ministry of Education of the Russian Federation from 13.02.2023 (N 073-00038-23-02).
Acknowledgements. The research was carried out using the unique scientific equipment of the Centre of Neurocognitive Research (MEG Centre) of MSUPE.
Received: 23.01.2023
Accepted:
For citation: Fadeev K.A., Goyaeva D.E., Obukhova T.S., Ovsyannikova T.M., Shvedovskiy E.F., Nikolaeva A.Yu., Davydova E.Y., Stroganova T.A., Orekhova E.V. Difficulty with Speech Perception in the Background of Noise in Children with Autism Spectrum Disorders Is Not Related to Their Level of Intelligence [Elektronnyi resurs]. Klinicheskaia i spetsial'naia psikhologiia = Clinical Psychology and Special Education, 2023. Vol. 12, no. 1, pp. 180–212. DOI: 10.17759/cpse.2023120108. (In Russ., аbstr. in Engl.)
References
- ISO 8253-1:2010. «Akustika. Metody audiometricheskikh ispytanii. Chast' 1. Tonal'naya porogovaya audiometriya po vozdushnoi i kostnoi provodimosti» [ISO 8253-1:2010 “Acoustics — Audiometric test methods — Part 1: Pure-tone air and bone conduction audiometry”].
- Lyashevskaya O.N., Sharov S.A. Chastotnyi slovar' sovremennogo russkogo yazyka (na materialakh Natsional'nogo korpusa russkogo yazyka) [Frequency Dictionary of the Modern Russian Language (based on the materials of the National Corpus of the Russian Language)]. Мoscow: Azbukovnik, 2009. 1087 p.
- Semenovich M.L., Manelis N.G., Khaustov A.V. i dr. Opisanie metodiki otsenki bazovykh rechevykh i uchebnykh navykov (ABLLS-R) [Description of the Assessment of Basic Language and Learning Skills Revisited (ABLLS-R)]. Autizm i narusheniya razvitiya = Autism and Developmental Disorders, 2015, vol. 13, no. 4, pp. 3–11. DOI: 10.17759/autdd.2015130401
- Ahveninen J., Hämäläinen M., Jääskeläinen I.P. et al. Attention-driven auditory cortex short-term plasticity helps segregate relevant sounds from noise. In R. Desimone (ed.), Proceedings of the National Academy of Sciences, 2011, vol. 108 (10), pp. 4182–4187. DOI: 10.1073/pnas.1016134108
- Alcantara J.I., Weisblatt E.J.L., Moore B.C.J. et al. Speech-in-noise perception in high-functioning individuals with autism or Asperger’s syndrome. Journal of Child Psychology and Psychiatry, 2004, vol. 45 (6), pp. 1107–1114. DOI: 10.1111/j.1469-7610.2004.t01-1-00303.x
- Antshel K.M., Zhang-James Y., Wagner K.E. et al. An update on the comorbidity of ADHD and ASD: A focus on clinical management. Expert Review of Neurotherapeutics, 2016, vol. 16 (3), pp. 279–293. DOI: 10.1586/14737175.2016.1146591
- APA. Diagnostic and statistical manual of mental disorders, 5th ed. American Psychiatric Association, 2013. DOI: 10.1176/appi.books.9780890425596
- Belin P., Fecteau S., Bédard C. Thinking the voice: Neural correlates of voice perception. Trends in Cognitive Sciences, 2004, vol. 8 (3), pp. 129–135. DOI: 10.1016/j.tics.2004.01.008
- Bhatara A., Babikian T., Laugeson E. et al. Impaired timing and frequency discrimination in high-functioning autism spectrum disorders. Journal of Autism and Developmental Disorders, 2013, vol. 43 (10), pp. 2312–2328. DOI: 10.1007/s10803-013-1778-y
- Binder J.R. Current controversies on Wernicke’s area and its role in language. Current Neurology and Neuroscience Reports, 2017, vol. 17 (58). DOI: 10.1007/s11910-017-0764-8
- Castro A.C., Monteiro P. Auditory dysfunction in animal models of Autism Spectrum Disorder. Frontiers in Molecular Neuroscience, 2022, vol. 15. DOI: 10.3389/fnmol.2022.845155
- Curran-Everett D., Williams C.L. Explorations in statistics: The analysis of change. Advances in Physiology Education, 2015, vol. 39 (2), pp. 49–54. DOI: 10.1152/advan.00018.2015
- Dunlop W.A., Enticott P.G., Rajan R. Speech discrimination difficulties in high-functioning autism spectrum disorder are likely independent of auditory hypersensitivity. Frontiers in Human Neuroscience, 2016, vol. 10. DOI: 10.3389/fnhum.2016.00401
- Feldman J.I., Thompson E., Davis H. et al. Remote microphone systems can improve listening-in-noise accuracy and listening effort for youth with autism. Ear & Hearing, 2022, vol. 43 (2), pp. 436–447. DOI: 10.1097/aud.0000000000001058
- Foxe J.J., Molholm S., Del Bene V.A. et al. Severe multisensory speech integration deficits in high-functioning school-aged children with autism spectrum disorder (ASD) and their resolution during early adolescence. Cerebral Cortex, 2013, vol. 25 (2), pp. 298–312. DOI: 10.1093/cercor/bht213
- Frith U. Autism: Explaining the Enigma. Oxford, UK: Wiley-Blackwell, 2003. 264 p.
- Fritz C.O., Morris P.S., Richler J.J. Effect size estimates: Current use, calculations, and interpretation. Journal of Experimental Psychology, 2012, vol. 141 (1), pp. 2–18. DOI: 10.1037/a0024338
- Groen W.B., van Orsouw L., Huurne N. ter et al. Intact spectral but abnormal temporal processing of auditory stimuli in autism. Journal of Autism and Developmental Disorders, 2009, vol. 39 (5), pp. 742–750. DOI: 10.1007/s10803-008-0682-3
- Hashimoto T., Tayama M., Miyazaki M. et al. Reduced brainstem size in children with autism. Brain & Development, 1992, vol. 14 (2), pp. 94–97. DOI: 10.1016/s0387-7604(12)80093-3
- Irwin J.R., Tornatore L.A., Brancazio L. et al. CAN children with autism spectrum disorders “hear” a speaking face? Child Development, 2011, vol. 82 (5), pp. 1397–1403. DOI: 10.1111/j.1467-8624.2011.01619.x
- James P., Schafer E., Wolfe J. et al. Increased rate of listening difficulties in autistic children. Journal of Communication Disorders, 2022, vol. 99, 106252. DOI: 10.1016/j.jcomdis.2022.106252
- Jones P.R., Moore D.R., Amitay S. Development of auditory selective attention: Why children struggle to hear in noisy environments. Developmental Psychology, 2015, vol. 51 (3), pp. 353–369. DOI: 10.1037/a0038570
- Kaufman A.S., Kaufman N.L. Kaufman Assessment Battery for Children, 2nd ed. Circle Pines, MN: American Guidance Service, 2004.
- Keith W.J., Purdy S.C. Assistive and therapeutic effects of amplification for auditory processing disorder. Seminars in Hearing, 2014, vol. 35 (1), pp. 27–38. DOI: 10.1055/s-0033-1363522
- Klin A., Saulnier C., Tsatsanis K.D. et al. Clinical evaluation in Autism Spectrum Disorders: Psychological assessment within a transdisciplinary framework. In F.R. Volkmar, R. Paul, A. Klin & D. Cohen (eds.), Handbook of Autism and Pervasive Developmental Disorders: Assessment, Interventions, and Policy, 3rd ed, 2005, pp. 772–798. DOI: 10.1002/9780470939352.ch3
- Kulesza R.J., Lukose R., Stevens L.V. Malformation of the human superior olive in autistic spectrum disorders. Brain Research, 2011, vol. 1367, pp. 360–371. DOI: 10.1016/j.brainres.2010.10.015
- Luria A.R. Higher cortical functions in man (2nd. rev. ed.). New York: Basic Books, 1980.
- Mamashli F., Khan S., Bharadwaj H. et al. Auditory processing in noise is associated with complex patterns of disrupted functional connectivity in autism spectrum disorder. Autism Research, 2017, vol. 10 (4), pp. 631–647. DOI: 10.1002/aur.1714
- Manyukhina V.O., Prokofyev A.O., Galuta I.A. et al. Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence. Molecular Autism, 2022, vol. 13 (20). DOI: 10.1186/s13229-022-00498-2
- McGrew K.S. The Cattell-Horn-Carroll Theory of cognitive abilities: Past, present, and future. In D.P. Flanagan & P.L. Harrison (eds.), Contemporary Intellectual Assessment: Theories, Tests, and Issues. New York: Guilford Press, 2005, pp. 136–181.
- Morbidity and Mortality Weekly Report (MMWR). Correction and republication: Prevalence and characteristics of autism spectrum disorder among children aged 8 years — autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2012. Morbidity and Mortality Weekly Report, 2018, vol. 67 (45), 1279. DOI: 10.15585/mmwr.mm6745a7
- Moseley R.L., Correia M.M., Baron-Cohen S. et al. Reduced volume of the arcuate fasciculus in adults with high-functioning autism spectrum conditions. Frontiers in Human Neuroscience, 2016, vol. 10. DOI: 10.3389/fnhum.2016.00214
- Nair A., Carper R.A., Abbott A.E. et al. Regional specificity of aberrant thalamocortical connectivity in autism. Human Brain Mapping, 2015, vol. 36 (11), pp. 4497–4511. DOI: 10.1002/hbm.22938
- O’Connor K. Auditory processing in autism spectrum disorder: A Review. Neuroscience & Biobehavioral Reviews, 2012, vol. 36 (2), pp. 836–854. DOI: 10.1016/j.neubiorev.2011.11.008
- Plaisted K., Saksida L., Alcántara J. et al. Towards an understanding of the mechanisms of weak central coherence effects: Experiments in visual configural learning and auditory perception. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 2003, vol. 358 (1430), pp. 375–386. DOI: 10.1098/rstb.2002.1211
- Price C.N., Bidelman G.M. Attention reinforces human corticofugal system to aid speech perception in noise. NeuroImage, 2021, vol. 235, 118014. DOI: 10.1016/j.neuroimage.2021.118014
- Rance G., Chisari D., Saunders K. et al. Reducing listening-related stress in school-aged children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 2017, vol. 47 (7), pp. 2010–2022. DOI: 10.1007/s10803-017-3114-4
- Rance G., Saunders K., Carew P. et al. The use of listening devices to ameliorate auditory deficit in children with autism. The Journal of Pediatrics, 2014, vol. 164 (2), pp. 352–357. DOI: 10.1016/j.jpeds.2013.09.041
- Russo N., Nicol T., Trommer B. et al. Brainstem transcription of speech is disrupted in children with autism spectrum disorders. Developmental Science, 2009, vol. 12 (4), pp. 557–567. DOI: 10.1111/j.1467-7687.2008.00790.x
- Schafer E.C., Florence S., Anderson C. et al. A critical review of remote-microphone technology for children with normal hearing and auditory differences. Journal of Educational Audiology, 2014, vol. 20, pp. 1–11.
- Schafer E.C., Gopal K.V., Mathews L. et al. Effects of auditory training and remote microphone technology on the behavioral performance of children and young adults who have autism spectrum disorder. Journal of the American Academy of Audiology, 2019, vol. 30 (5), pp. 431–443. DOI: 10.3766/jaaa.18062
- Schafer E.C., Mathews L., Mehta S. et al. Personal FM systems for children with autism spectrum disorders (ASD) and/or attention-deficit hyperactivity disorder (ADHD): An initial investigation. Journal of Communication Disorders, 2013, vol. 46 (1), pp. 30–52. DOI: 10.1016/j.jcomdis.2012.09.002
- Schelinski S., Tabas A., von Kriegstein K. Altered processing of communication signals in the subcortical auditory sensory pathway in autism. Human Brain Mapping, 2022, vol. 43 (6), pp. 1955–1972. DOI: 10.1002/hbm.25766
- Schelinski S., von Kriegstein K. Brief report: Speech-in-noise recognition and the relation to vocal pitch perception in adults with autism spectrum disorder and typical development. Journal of Autism and Developmental Disorders, 2019, vol. 50 (1), pp. 356–363. DOI: 10.1007/s10803-019-04244-1
- Simpson S.A., Cooke M. Consonant identification in N-talker babble is a nonmonotonic function of N. The Journal of the Acoustical Society of America, 2005, vol. 118 (5), pp. 2775–2778. DOI: 10.1121/1.2062650
- Smith E.G., Bennetto L. Audiovisual speech integration and lipreading in autism. Journal of Child Psychology and Psychiatry, 2007, vol. 48 (8), pp. 813–821. DOI: 10.1111/j.1469-7610.2007.01766.x
- Sound Pressure Level Calculator. Chad Greene. MATLAB Central File Exchange: URL: https://www.mathworks.com/matlabcentral/fileexchange/35876-sound-pressure-level-calculator (Accessed: 21.03.2023)
- Tager-Flusberg H., Kasari C. Minimally verbal school-aged children with autism spectrum disorder: The neglected end of the spectrum. Autism Research, 2013, vol. 6 (6), pp. 468–478. DOI: 10.1002/aur.1329
- Thompson E.C., Woodruff Carr K., White-Schwoch T. et al. Individual differences in speech-in-noise perception parallel neural speech processing and attention in preschoolers. Hearing Research, 2017, vol. 344, pp. 148–157. DOI: 10.1016/j.heares.2016.11.007
- Viscidi E.W., Triche E.W., Pescosolido M.F. et al. Clinical characteristics of children with Autism Spectrum Disorder and co-occurring epilepsy. PLOS ONE, 2013, vol. 8 (7), e67797. DOI: 10.1371/journal.pone.0067797
- WHO. The ICD-10 classification of mental and behavioural disorders. Geneva: World Health Organization, 1993. 248 p. URL: https://apps.who.int/iris/bitstream/handle/10665/37108/9241544554.pdf (Accessed: 21.03.2023)
- Williams Z.J., Abdelmessih P.G., Key A.P. et al. Cortical auditory processing of simple stimuli is altered in autism: A meta-analysis of auditory evoked responses. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2021, vol. 6 (8), pp. 767–781. DOI: 10.1016/j.bpsc.2020.09.011
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