Analysis of a Repetitive Language Coding System: Comparisons between Fragile X Syndrome, Autism, and Down Syndrome.

autism down syndrome expressive language sampling fragile X syndrome pragmatic language repetitive language

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
29 Apr 2022
Historique:
received: 13 03 2022
revised: 18 04 2022
accepted: 25 04 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 29 5 2022
Statut: epublish

Résumé

Expressive language sampling (ELS) is a frequently used tool for language analysis, as it can be used across widely ranging cognitive and language abilities. ELS can also evaluate pragmatic language, including excessive self-repetition, which is challenging to assess with traditional standardized assessments. This study explored how a well-established ELS protocol can assess three types of linguistic self-repetition in three neurodevelopmental disabilities: fragile X syndrome (FXS), autism spectrum disorder (ASD), and Down syndrome (DS). We examined its ability to differentiate between these disorders, the relationships between repetitive language and other participant characteristics, and initial construct validity. We found that the groups with FXS and ASD differed significantly on each of the three repetitive language measure, and that the group with DS differed from either ASD or FXS on two. Cognitive ability was significantly related to phrase repetition in the group with ASD. When the groups were combined, there was evidence of convergent and divergent validity. This study extends previous research on ELS and supports its use as a means to characterize pragmatic language. It also provides information about the relationships between repetitive language and other phenotypic characteristics.

Identifiants

pubmed: 35624962
pii: brainsci12050575
doi: 10.3390/brainsci12050575
pmc: PMC9139711
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIDCD NIH HHS
ID : R01 DC012033
Pays : United States
Organisme : NIH HHS
ID : R01DC012033
Pays : United States
Organisme : NIH HHS
ID : P50HD103526
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001860
Pays : United States
Organisme : NIH HHS
ID : NIH UL1 TR001860
Pays : United States
Organisme : NIH HHS
ID : R01HD074346
Pays : United States

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Auteurs

Anne Hoffmann (A)

Departments of Communication Disorders and Sciences and Pediatrics, Rush University Medical Center, Chicago, IL 60612, USA.

Angela John Thurman (AJ)

MIND Institute, School of Medicine, University of California Davis Health, Sacramento, CA 95817, USA.
Department of Psychiatry and Behavioral Sciences, University of California Davis Health, Sacramento, CA 95817, USA.

Audra Sterling (A)

Waisman Center, Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI 53706, USA.

Sara T Kover (ST)

Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA.

Lizabeth Finestack (L)

Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN 55455, USA.

Elizabeth Berry-Kravis (E)

Departments of Pediatrics, Neurological Sciences, Anatomy and Cell Biology, Rush University Medical Center, Chicago, IL 60612, USA.

Jamie O Edgin (JO)

Department of Psychology and Sonoran UCEDD, College of Science, The University of Arizona, Tucson, AZ 85721, USA.

Andrea Drayton (A)

MIND Institute, School of Medicine, University of California Davis Health, Sacramento, CA 95817, USA.
Department of Psychiatry and Behavioral Sciences, University of California Davis Health, Sacramento, CA 95817, USA.

Eric Fombonne (E)

Departments of Psychiatry and Pediatrics, School of Medicine, Oregon Health and Science University, Portland, OR 97239, USA.

Leonard Abbeduto (L)

MIND Institute, School of Medicine, University of California Davis Health, Sacramento, CA 95817, USA.
Department of Psychiatry and Behavioral Sciences, University of California Davis Health, Sacramento, CA 95817, USA.

Classifications MeSH