Thinking Ahead: Incremental Language Processing is Associated with Receptive Language Abilities in Preschoolers with Autism Spectrum Disorder

Abstract Objectives Few studies have examined the relationship between language abilities and specific motor skills in toddlers with autism spectrum disorder (ASD). The aim of this study was to compare the relationship of receptive language (RL) and expressive language (EL) abilities with motor functioning between toddlers with ASD aged 24–36 months and their typically developing (TD) peers. Furthermore, the study compared multidimensional motor functioning between toddlers with ASD with delayed RL and EL development and toddlers with ASD and typical RL and EL development. The predictive powers of the motor skills were examined for the group with delayed RL and EL development. Methods The language abilities of 38 toddlers with ASD and 38 age-matched TD toddlers were evaluated using the Receptive and Expressive Language Subscales of the Mullen Scale of Early Learning, and their motor skills were assessed using the Peabody Developmental Motor Scales, 2nd Edition. Results Significant correlations between language ability and motor functioning were observed in the ASD and TD groups. The ASD group with delayed RL and EL development had lower scores for multidimensional motor functioning than the ASD group with typical RL and EL development and the TD group. Moreover, the risks of delayed EL and RL development could be predicted by the lower motor scores among toddlers with ASD. Conclusions The positive correlation between language abilities and motor functioning among toddlers with ASD indicated potential connections between the early onsets of motor and speech–language impairments among these toddlers. Impact The results may have implications for the development of motor-based interventions targeting language development among young children with ASD.

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Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-020-01352-2 ◽

2020 ◽

Vol 20 (S11) ◽

Cited By ~ 1

Author(s):

Jacqueline Peng ◽

Mengge Zhao ◽

James Havrilla ◽

Cong Liu ◽

Chunhua Weng ◽

...

Keyword(s):

Autism Spectrum Disorder ◽

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Clinical Manifestations ◽

Predictive Performance ◽

Autism Spectrum ◽

Spectrum Disorder ◽

Research Articles

Abstract Background Natural language processing (NLP) tools can facilitate the extraction of biomedical concepts from unstructured free texts, such as research articles or clinical notes. The NLP software tools CLAMP, cTAKES, and MetaMap are among the most widely used tools to extract biomedical concept entities. However, their performance in extracting disease-specific terminology from literature has not been compared extensively, especially for complex neuropsychiatric disorders with a diverse set of phenotypic and clinical manifestations. Methods We comparatively evaluated these NLP tools using autism spectrum disorder (ASD) as a case study. We collected 827 ASD-related terms based on previous literature as the benchmark list for performance evaluation. Then, we applied CLAMP, cTAKES, and MetaMap on 544 full-text articles and 20,408 abstracts from PubMed to extract ASD-related terms. We evaluated the predictive performance using precision, recall, and F1 score. Results We found that CLAMP has the best performance in terms of F1 score followed by cTAKES and then MetaMap. Our results show that CLAMP has much higher precision than cTAKES and MetaMap, while cTAKES and MetaMap have higher recall than CLAMP. Conclusion The analysis protocols used in this study can be applied to other neuropsychiatric or neurodevelopmental disorders that lack well-defined terminology sets to describe their phenotypic presentations.

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Implicit Semantic Processing of Linguistic and Non-linguistic Stimuli in Adults with Autism Spectrum Disorder

Journal of Autism and Developmental Disorders ◽

10.1007/s10803-020-04736-5 ◽

2021 ◽

Author(s):

Emme O’Rourke ◽

Emily L. Coderre

Keyword(s):

Autism Spectrum Disorder ◽

Language Processing ◽

Semantic Processing ◽

Autistic Traits ◽

Autism Spectrum ◽

Event Related Potential ◽

Spectrum Disorder ◽

Adults With Autism ◽

Priming Task ◽

Adults With Asd

AbstractWhile many individuals with autism spectrum disorder (ASD) experience difficulties with language processing, non-linguistic semantic processing may be intact. We examined neural responses to an implicit semantic priming task by comparing N400 responses—an event-related potential related to semantic processing—in response to semantically related or unrelated pairs of words or pictures. Adults with ASD showed larger N400 responses than typically developing adults for pictures, but no group differences occurred for words. However, we also observed complex modulations of N400 amplitude by age and by level of autistic traits. These results offer important implications for how groups are delineated and compared in autism research.

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Receptive Language in Primary-School-Aged Children with Autism Spectrum Disorder.

Clinical Psychology and Special Education ◽

10.17759/cpse.2021100407 ◽

2021 ◽

Vol 10 (4) ◽

pp. 137-161

Author(s):

D.S. Pereverzeva ◽

U.A. Mamokhina ◽

E.Yu. Davydova ◽

A.A. Lopukhina ◽

V.G. Arutiunian ◽

...

Keyword(s):

Autism Spectrum Disorder ◽

Autistic Traits ◽

Children With Autism ◽

Receptive Language ◽

Autism Spectrum ◽

Spectrum Disorder ◽

Verbal Intelligence ◽

School Aged Children ◽

Autistic Disorders ◽

The Relationship

The objective of the present study is to investigate the relationship between the receptive language, and the index of non-verbal intelligence and the level of severity of autistic disorders in primary-school-aged children with Autism spectrum disorder. One of the main areas influenced by autistic disorders is communication. Therefore, the study of the language abilities of such children and factors that affect them provides a better approach to the therapy and education. The sample included 50 children aged 7–11 years diagnosed with autism spectrum disorders. Children were tested using the KORABLIK method (basic linguistic skills), the Kaufman Assessment Battery for Children (KABC-II) or the Wechsler Intelligence Scale for Children ― Third Edition (WISC-III) (non-verbal intelligence), the Autism Diagnosis Observation Schedule ― Second Edition (ADOS-II) (autistic traits). The results support the hypothesis of the relationship between receptive language skills, the index of non-verbal intelligence, and symptoms of autism. The severity of autistic traits is negatively associated with some phonological and lexical levels of the receptive speech, as well as with understanding of discourse. The non-verbal intelligence index is positively associated with speech comprehension at all levels. A specific feature of receptive language in children with Autism spectrum disorder aged 7–11 years is the uneven development, which is associated with the severity of autistic traits and is not associated with the intelligence level.

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