Atypical Social Behavior is Predicted by Overconnectivity Between Salience and Default Mode Networks in Autism Spectrum Disorder / Alina MINNIGULOVA in Journal of Autism and Developmental Disorders, 56-10 (October 2026)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 56-10 (October 2026) . - p. 3844-3852 Titre : Atypical Social Behavior is Predicted by Overconnectivity Between Salience and Default Mode Networks in Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Alina MINNIGULOVA, Auteur ; Maria PROTOPOVA, Auteur ; Olga DRAGOY, Auteur ; Vardan ARUTIUNIAN, Auteur Article en page(s) : p. 3844-3852 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : As Default Mode and Salience networks (DMN, SN) contribute to social behavior and switching between inner and outer attention, they are believed to function and develop differently in individuals with Autism Spectrum Disorder (ASD). However, it remains unclear what alterations of their interactivity are connected to certain autistic traits and how age influences these networks’ maturing. Behavioral (social responsiveness, executive functions and communication skills) and resting-state functional connectivity (FC) data from the Autism Brain Imaging Data Exchange were analyzed comprising individuals with ASD (n = 144) and healthy controls (n = 99). We compared FC between the groups investigating DMN and SN separately and in combination. Finally, we assessed FC-behavior links in the ASD group and age effects on FC across these networks in both samples. Individuals with ASD exhibited increased FC between DMN and SN but decreased one within DMN compared to the control group. FC between right insular and medial prefrontal cortices predicted more severe social responsiveness impairments in ASD but there were no significant associations with executive functions nor adaptive behavior. Additionally, DMN and SN matured in ASD with partly different patterns than in typical development. Our results replicated and expanded previous findings on DMN and SN pointing to robust differences within and between these networks in ASD and their contribution to autistic traits regarding social responsiveness. En ligne : https://doi.org/10.1007/s10803-025-06840-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=593 [article] Atypical Social Behavior is Predicted by Overconnectivity Between Salience and Default Mode Networks in Autism Spectrum Disorder [texte imprimé] / Alina MINNIGULOVA, Auteur ; Maria PROTOPOVA, Auteur ; Olga DRAGOY, Auteur ; Vardan ARUTIUNIAN, Auteur . - p. 3844-3852. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 56-10 (October 2026) . - p. 3844-3852 Index. décimale : PER Périodiques Résumé : As Default Mode and Salience networks (DMN, SN) contribute to social behavior and switching between inner and outer attention, they are believed to function and develop differently in individuals with Autism Spectrum Disorder (ASD). However, it remains unclear what alterations of their interactivity are connected to certain autistic traits and how age influences these networks’ maturing. Behavioral (social responsiveness, executive functions and communication skills) and resting-state functional connectivity (FC) data from the Autism Brain Imaging Data Exchange were analyzed comprising individuals with ASD (n = 144) and healthy controls (n = 99). We compared FC between the groups investigating DMN and SN separately and in combination. Finally, we assessed FC-behavior links in the ASD group and age effects on FC across these networks in both samples. Individuals with ASD exhibited increased FC between DMN and SN but decreased one within DMN compared to the control group. FC between right insular and medial prefrontal cortices predicted more severe social responsiveness impairments in ASD but there were no significant associations with executive functions nor adaptive behavior. Additionally, DMN and SN matured in ASD with partly different patterns than in typical development. Our results replicated and expanded previous findings on DMN and SN pointing to robust differences within and between these networks in ASD and their contribution to autistic traits regarding social responsiveness. En ligne : https://doi.org/10.1007/s10803-025-06840-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=593

Language Abilities of Russian Primary-School-Aged Children with Autism Spectrum Disorder: Evidence from Comprehensive Assessment / Vardan ARUTIUNIAN in Journal of Autism and Developmental Disorders, 52-2 (February 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-2 (February 2022) . - p.584-599 Titre : Language Abilities of Russian Primary-School-Aged Children with Autism Spectrum Disorder: Evidence from Comprehensive Assessment Type de document : texte imprimé Auteurs : Vardan ARUTIUNIAN, Auteur ; Anastasiya LOPUKHINA, Auteur ; Alina MINNIGULOVA, Auteur ; Anastasia SHLYAKHOVA, Auteur ; Elizaveta DAVYDOVA, Auteur ; Darya PEREVERZEVA, Auteur ; Alexander SOROKIN, Auteur ; Svetlana TYUSHKEVICH, Auteur ; Uliana MAMOKHINA, Auteur ; Kamilla DANILINA, Auteur ; Olga DRAGOY, Auteur Article en page(s) : p.584-599 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Humans  Language  Language Development Disorders/diagnosis  Language Tests  Schools  Autism Spectrum Disorder  Language abilities  Language comprehension  Language production  Russian Index. décimale : PER Périodiques Résumé : The purpose of the present research was to comprehensively assess the language abilities of Russian primary-school-aged children with Autism Spectrum Disorder (ASD), varying in non-verbal IQ, at all linguistic levels (phonology, lexicon, morphosyntax, and discourse) in production and comprehension. Yet, the influence of such non-language factors as children's age, the severity of autistic traits, and non-verbal IQ on language functioning was studied. Our results indicate a high variability of language skills in children with ASD (from normal to impaired) which is in line with the previous studies. Interestingly, the number of children with normal language abilities was related to the linguistic levels: according to more complex morphosyntax and discourse tests, fewer children with ASD were within the normal range unlike the results in simpler phonological and lexical tests. Importantly, we found that language abilities were best predicted by non-verbal IQ but were independent from age and the severity of autistic traits. The findings support the claim that formal language assessment of children with ASD needs to include all linguistic levels, from phonology to discourse, for helping speech-language therapists to choose an appropriate therapy target. En ligne : http://dx.doi.org/10.1007/s10803-021-04967-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 [article] Language Abilities of Russian Primary-School-Aged Children with Autism Spectrum Disorder: Evidence from Comprehensive Assessment [texte imprimé] / Vardan ARUTIUNIAN, Auteur ; Anastasiya LOPUKHINA, Auteur ; Alina MINNIGULOVA, Auteur ; Anastasia SHLYAKHOVA, Auteur ; Elizaveta DAVYDOVA, Auteur ; Darya PEREVERZEVA, Auteur ; Alexander SOROKIN, Auteur ; Svetlana TYUSHKEVICH, Auteur ; Uliana MAMOKHINA, Auteur ; Kamilla DANILINA, Auteur ; Olga DRAGOY, Auteur . - p.584-599. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-2 (February 2022) . - p.584-599 Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Humans  Language  Language Development Disorders/diagnosis  Language Tests  Schools  Autism Spectrum Disorder  Language abilities  Language comprehension  Language production  Russian Index. décimale : PER Périodiques Résumé : The purpose of the present research was to comprehensively assess the language abilities of Russian primary-school-aged children with Autism Spectrum Disorder (ASD), varying in non-verbal IQ, at all linguistic levels (phonology, lexicon, morphosyntax, and discourse) in production and comprehension. Yet, the influence of such non-language factors as children's age, the severity of autistic traits, and non-verbal IQ on language functioning was studied. Our results indicate a high variability of language skills in children with ASD (from normal to impaired) which is in line with the previous studies. Interestingly, the number of children with normal language abilities was related to the linguistic levels: according to more complex morphosyntax and discourse tests, fewer children with ASD were within the normal range unlike the results in simpler phonological and lexical tests. Importantly, we found that language abilities were best predicted by non-verbal IQ but were independent from age and the severity of autistic traits. The findings support the claim that formal language assessment of children with ASD needs to include all linguistic levels, from phonology to discourse, for helping speech-language therapists to choose an appropriate therapy target. En ligne : http://dx.doi.org/10.1007/s10803-021-04967-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455

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