Language Abilities of Russian Primary-School-Aged Children with Autism Spectrum Disorder: Evidence from Comprehensive Assessment

Arutiunian, Vardan; Lopukhina, Anastasiya; Minnigulova, Alina; Shlyakhova, Anastasia; Davydova, Elizaveta; Pereverzeva, Darya; Sorokin, Alexander; Tyushkevich, Svetlana; Mamokhina, Uliana; Danilina, Kamilla; Dragoy, Olga

doi:10.1007/s10803-021-04967-0

Cited by 29 publications

(13 citation statements)

References 67 publications

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“…The significance is labeled with * p < 0.05, ** p < 0.01, *** p < 0.001. a Mean language score (MLS) is a standard average score (from 0 to 1) across all subtests of the Russian Child Language Assessment Battery (see 52 ). b Autism Spectrum Quotient: Children’s version.…”

Section: Methodsmentioning

confidence: 99%

“…a Mean language score (MLS) is a standard average score (from 0 to 1) across all subtests of the Russian Child Language Assessment Battery (see 52 ).…”

Section: Methodsmentioning

confidence: 99%

“…The non-verbal IQ of children with ASD was measured with the Kaufman Assessment Battery for Children K-ABC II, NVI index 49 , or the Wechsler Intelligence Scale for Children—Third Edition, performance IQ score 50 ; the non-verbal intelligence of TD children was screened with the Raven’s Colored Progressive Matrices 51 . Language abilities were measured with the Russian Child Language Assessment Battery 52 , a standardized test for the assessment of phonology, vocabulary, morphosyntax, and discourse in both production and comprehension; the mean language score (MLS) was calculated for each child.…”

Section: Methodsmentioning

confidence: 99%

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Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder

Arutiunian

Gomozova²,

Minnigulova³

et al. 2023

Sci Rep

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Language impairment is comorbid in most children with Autism Spectrum Disorder (ASD) but its neural basis is poorly understood. Using structural magnetic resonance imaging (MRI), the present study provides the whole-brain comparison of both volume- and surface-based characteristics between groups of children with and without ASD and investigates the relationships between these characteristics in language-related areas and the language abilities of children with ASD measured with standardized tools. A total of 36 school-aged children participated in the study: 18 children with ASD and 18 age- and sex-matched typically developing controls. The results revealed that multiple regions differed between groups of children in gray matter volume, gray matter thickness, gyrification, and cortical complexity (fractal dimension). White matter volume and sulcus depth did not differ between groups of children in any region. Importantly, gray matter thickness and gyrification of language-related areas were related to language functioning in children with ASD. Thus, the results of the present study shed some light on the structural brain abnormalities associated with language impairment in ASD.

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Section: Methodsmentioning

confidence: 99%

“…a Mean language score (MLS) is a standard average score (from 0 to 1) across all subtests of the Russian Child Language Assessment Battery (see 52 ).…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder

Arutiunian

Gomozova²,

Minnigulova³

et al. 2023

Sci Rep

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“…All were right‐handed native Russian speakers with no history of neurological, psychiatric or diagnosed language disorders, and with no vision and/or hearing problems. The children's non‐verbal IQ was screened with the Raven's Colored Progressive Matrices (Raven, 2000 ), and language abilities were measured with the Russian Child Language Assessment Battery (Arutiunian et al, 2022 ). According to behavioral testing, all children had a normal non‐verbal IQ and language scores (see Table 1 with demographic information).…”

Section: Methodsmentioning

confidence: 99%

The age‐related changes in 40 Hz Auditory Steady‐State Response and sustained Event‐Related Fields to the same amplitude‐modulated tones in typically developing children: A magnetoencephalography study

Arutiunian¹,

Arcara

Buyanova³

et al. 2022

Human Brain Mapping

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Recent studies have revealed that gamma-band oscillatory and transient evoked potentials may change with age during childhood. It is hypothesized that these changes can be associated with a maturation of GABAergic neurotransmission and, subsequently, the age-related changes of excitation-inhibition balance in the neural circuits. One of the reliable paradigms for investigating these effects in the auditory cortex is 40 Hz Auditory Steady-State Response (ASSR), where participants are presented with the periodic auditory stimuli. It is known that such stimuli evoke two types of responses in magnetoencephalography (MEG)-40 Hz steady-state gamma response (or 40 Hz ASSR) and auditory evoked response called sustained Event-Related Field (ERF). Although several studies have been conducted in children, focusing on the changes of 40 Hz ASSR with age, almost nothing is known about the agerelated changes of the sustained ERF to the same periodic stimuli and their relationships with changes in the gamma strength. Using MEG, we investigated the association between 40 Hz steady-state gamma response and sustained ERF response to the same stimuli and also their age-related changes in the group of 30 typically developing 7-to-12-year-old children. The results revealed a tight relationship between 40 Hz ASSR and ERF, indicating that the age-related increase in strength of 40 Hz ASSR was associated with the age-related decrease of the amplitude of ERF. These effects were discussed in the light of the maturation of the GABAergic system and excitation-inhibition balance development, which may contribute to the changes in ASSR and ERF.

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“…The non-verbal intelligence of TD children was assessed with Raven's Colored Progressive Matrices (Raven 2000(Raven , 2004, and the non-verbal IQ of children with ASD was measured with the Kaufman Assessment Battery for Children, K-ABC II (Kaufman & Kaufman 2004), or Wechsler Intelligence Scale for Children -Third Edition, WISC-III (1991), performance IQ score. Language abilities were comprehensively evaluated with the Russian Child Language Assessment Battery (RuCLAB) consisting of tests that assess phonological, lexical, morphosyntactic, and discourse levels in both the expressive and receptive domains (Arutiunian et al 2022).…”

Section: Behavioral Measurementsmentioning

confidence: 99%

Corpus callosum organization and its implication to core and comorbid symptoms of Autism Spectrum Disorder

Minnigulova¹,

Davydova

Pereverzeva

et al. 2022

Preprint

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Background: Autism Spectrum Disorder (ASD) is characterized by social interaction and communication deficits, repetitive behavior and often by co-occurring conditions such as language and non-verbal IQ development delays. Previous studies reported that those behavioral abnormalities can be associated with corpus callosum organization. However, little is known about the specific differences in white matter structure of the corpus callosum parts in children with ASD and TD peers and their relationships to core and comorbid symptoms of ASD. The aim of the study was to investigate the volumetric and microstructural characteristics of the corpus callosum parts crucially involved in social, language, and non-verbal IQ behavior in primary-school-aged children with ASD and to assess the relationships between these characteristics and behavioral measures. Method: 38 children (19 with ASD, 19 typically developing (TD)) were scanned using diffusion-weighted MRI and behaviorally assessed. The tractography of the corpus callosum parts were performed using Quantitative Imaging Toolkit software; diffusivity and volumetric measurements were extracted and analyzed. Results: In the ASD group, fractional anisotropy (FA) was decreased across the supplementary motor area and the ventromedial prefrontal cortex, axial diffusivity (AD) was reduced across each of the corpus callosum parts in comparison to the TD group. Importantly, the AD decrease was related to worse language abilities and more severe autistic traits in individuals with ASD. Conclusions: The microstructure of the corpus callosum parts differs between children with and without ASD. Abnormalities in white matter organization of the corpus callosum parts are associated with core and comorbid symptoms of ASD.

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Language Abilities of Russian Primary-School-Aged Children with Autism Spectrum Disorder: Evidence from Comprehensive Assessment

Cited by 29 publications

References 67 publications

Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder

Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder

The age‐related changes in 40 Hz Auditory Steady‐State Response and sustained Event‐Related Fields to the same amplitude‐modulated tones in typically developing children: A magnetoencephalography study

Corpus callosum organization and its implication to core and comorbid symptoms of Autism Spectrum Disorder

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