Profiles of atypical sensory processing in Angelman, Cornelia de Lange and Fragile X syndromes

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Heald, M
Adams, D
Oliver, C
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2020
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Abstract

Background: There is growing evidence to suggest that children with neurodevelopmental disorders may evidence differences in their sensory processing. The aim of this study was to compare sensory processing patterns in three genetic syndromes associated with sensory difference. Methods: Sensory processing in Angelman syndrome (n = 91), Cornelia de Lange syndrome (n = 28) and Fragile X syndrome (n = 40) was examined using the informant report measure the Sensory Experiences Questionnaire (SEQ). Results: All three groups were associated with a heightened prevalence of unusual sensory processing in comparison with normative data, evidenced in over 80% of all participants. Cross-syndrome comparisons highlighted syndrome-specific sensory processing profiles, with heightened hypo responsivity in Cornelia de Lange syndrome and sensory seeking in Angelman syndrome. Conclusions: The results have important implications for the understanding of sensory processing in genetic syndromes and the development of tailored behavioural interventions.

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Journal of Intellectual Disability Research

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64

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2

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© 2020 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Profiles of atypical sensory processing in Angelman, Cornelia de Lange and Fragile X syndromes, Journal of Intellectual Disability Research, Vol. 64, Iss. 2, Feb. 2020, Pages 117-130, which has been published in final form at 10.1111/jir.12702. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)

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Education

Psychology

Special education and disability

Angelman syndrome

Cornelia de Lange syndrome

Fragile X syndrome

Sensory processing

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Heald, M; Adams, D; Oliver, C, Profiles of atypical sensory processing in Angelman, Cornelia de Lange and Fragile X syndromes, Journal of Intellectual Disability Research, 2020, 64 (2), pp. 117-130

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