Network Analysis of Anxiety in the Autism Realm / Farhad MONTAZERI in Journal of Autism and Developmental Disorders, 49-6 (June 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-6 (June 2019) . - p.2219-2230 Titre : Network Analysis of Anxiety in the Autism Realm Type de document : texte imprimé Auteurs : Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera DEKKER, Auteur ; George M. ANDERSON, Auteur Article en page(s) : p.2219-2230 Langues : Anglais (eng) Mots-clés : ADOS item scores  Anxiety  Autism Diagnostic Observation Schedule  Behavior  Network analysis  Revised Children's Anxiety and Depression Scale Index. décimale : PER Périodiques Résumé : The anxiety and autism realms are each complicated and heterogeneous, and relationships between the two areas are especially complex. Network analysis offers a promising approach to the phenotypic complexities of typical and atypical human behavior. The Revised Children's Anxiety and Depression Scale (RCADS) was used to assess anxiety in 126 high-functioning 9-13 year-olds with ASDs. Network graphs of Autism Diagnostic Observation Schedule items and RCADS anxiety total score, social, generalized, panic and separation anxiety subscores consistently found the anxiety node (score) to be highly peripheral. Also, the networks of RCADS anxiety items themselves were similar for the ASDs group and a general population comparison group (n = 2017). The results suggest anxiety is not a central part of autism and that anxiety is dynamically similar (aspects of anxiety relate to one another in a similar manner) in high-functioning autism and the general population. En ligne : https://dx.doi.org/10.1007/s10803-018-3474-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=400 [article] Network Analysis of Anxiety in the Autism Realm [texte imprimé] / Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera DEKKER, Auteur ; George M. ANDERSON, Auteur . - p.2219-2230. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-6 (June 2019) . - p.2219-2230 Mots-clés : ADOS item scores  Anxiety  Autism Diagnostic Observation Schedule  Behavior  Network analysis  Revised Children's Anxiety and Depression Scale Index. décimale : PER Périodiques Résumé : The anxiety and autism realms are each complicated and heterogeneous, and relationships between the two areas are especially complex. Network analysis offers a promising approach to the phenotypic complexities of typical and atypical human behavior. The Revised Children's Anxiety and Depression Scale (RCADS) was used to assess anxiety in 126 high-functioning 9-13 year-olds with ASDs. Network graphs of Autism Diagnostic Observation Schedule items and RCADS anxiety total score, social, generalized, panic and separation anxiety subscores consistently found the anxiety node (score) to be highly peripheral. Also, the networks of RCADS anxiety items themselves were similar for the ASDs group and a general population comparison group (n = 2017). The results suggest anxiety is not a central part of autism and that anxiety is dynamically similar (aspects of anxiety relate to one another in a similar manner) in high-functioning autism and the general population. En ligne : https://dx.doi.org/10.1007/s10803-018-3474-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=400

Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications / Farhad MONTAZERI in Journal of Autism and Developmental Disorders, 50-5 (May 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-5 (May 2020) . - p.1580-1595 Titre : Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications Type de document : texte imprimé Auteurs : Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera DEKKER, Auteur ; George M. ANDERSON, Auteur Article en page(s) : p.1580-1595 Langues : Anglais (eng) Mots-clés : Anxiety  Autism spectrum disorder  Clustering analysis  Depression  Gaussian graphical modeling  Module preservation analysis  Network analysis Index. décimale : PER Périodiques Résumé : Depression-, anxiety-, OCD- and autism-related behaviors were assessed in 118 high-functioning individuals with autism spectrum disorders (ASD) and in 2016 controls. The ASD group had a higher rate of clinical depression and markedly higher "insomnia" and "restlessness" scores. Network analysis and hierarchical cluster analysis in the ASD group revealed that depression and anxiety items clustered together, but separately from autism-related items. Compared to controls, "insomnia" and "restlessness" items in the ASD network of depression items were much more central (higher closeness, and betweenness centrality). Combined networks of depression-, anxiety-, and OCD-related items revealed that the control group depression item module was not preserved in ASD. The results indicate that depression is atypical in autism and suggest specific intervention targets. En ligne : http://dx.doi.org/10.1007/s10803-019-03914-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=422 [article] Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications [texte imprimé] / Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera DEKKER, Auteur ; George M. ANDERSON, Auteur . - p.1580-1595. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-5 (May 2020) . - p.1580-1595 Mots-clés : Anxiety  Autism spectrum disorder  Clustering analysis  Depression  Gaussian graphical modeling  Module preservation analysis  Network analysis Index. décimale : PER Périodiques Résumé : Depression-, anxiety-, OCD- and autism-related behaviors were assessed in 118 high-functioning individuals with autism spectrum disorders (ASD) and in 2016 controls. The ASD group had a higher rate of clinical depression and markedly higher "insomnia" and "restlessness" scores. Network analysis and hierarchical cluster analysis in the ASD group revealed that depression and anxiety items clustered together, but separately from autism-related items. Compared to controls, "insomnia" and "restlessness" items in the ASD network of depression items were much more central (higher closeness, and betweenness centrality). Combined networks of depression-, anxiety-, and OCD-related items revealed that the control group depression item module was not preserved in ASD. The results indicate that depression is atypical in autism and suggest specific intervention targets. En ligne : http://dx.doi.org/10.1007/s10803-019-03914-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=422

Network Approach to Autistic Traits: Group and Subgroup Analyses of ADOS Item Scores / George M. ANDERSON in Journal of Autism and Developmental Disorders, 45-10 (October 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-10 (October 2015) . - p.3115-3132 Titre : Network Approach to Autistic Traits: Group and Subgroup Analyses of ADOS Item Scores Type de document : texte imprimé Auteurs : George M. ANDERSON, Auteur ; Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur Article en page(s) : p.3115-3132 Langues : Anglais (eng) Mots-clés : Network analysis  Autism Diagnostic Observation Schedule  Behavior  ADOS item scores Index. décimale : PER Périodiques Résumé : A network conceptualization might contribute to understanding the occurrence and interacting nature of behavioral traits in the autism realm. Networks were constructed based on correlations of item scores of the Autism Diagnostic Observation Schedule for Modules 1, 2 and 3 obtained for a group of 477 Dutch individuals with developmental disorders. After combining Modules, networks were obtained and compared for male versus female, high- versus low-functioning, seizure versus non-seizure, autism spectrum disorder versus intellectual disability, and younger versus older subjects. The network visualizations and calculated network parameters provide new perspectives that generate new hypothesis and suggest follow-up studies. The approach should be useful in characterizing individuals and groups, in elucidating mechanisms of trait generation and routes to outcome phenotypes, and in suggesting points of intervention. En ligne : http://dx.doi.org/10.1007/s10803-015-2537-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267 [article] Network Approach to Autistic Traits: Group and Subgroup Analyses of ADOS Item Scores [texte imprimé] / George M. ANDERSON, Auteur ; Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur . - p.3115-3132. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-10 (October 2015) . - p.3115-3132 Mots-clés : Network analysis  Autism Diagnostic Observation Schedule  Behavior  ADOS item scores Index. décimale : PER Périodiques Résumé : A network conceptualization might contribute to understanding the occurrence and interacting nature of behavioral traits in the autism realm. Networks were constructed based on correlations of item scores of the Autism Diagnostic Observation Schedule for Modules 1, 2 and 3 obtained for a group of 477 Dutch individuals with developmental disorders. After combining Modules, networks were obtained and compared for male versus female, high- versus low-functioning, seizure versus non-seizure, autism spectrum disorder versus intellectual disability, and younger versus older subjects. The network visualizations and calculated network parameters provide new perspectives that generate new hypothesis and suggest follow-up studies. The approach should be useful in characterizing individuals and groups, in elucidating mechanisms of trait generation and routes to outcome phenotypes, and in suggesting points of intervention. En ligne : http://dx.doi.org/10.1007/s10803-015-2537-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267

Network Structure of Autism Spectrum Disorder Behaviors and Its Evolution in Preschool Children: Insights from a New Longitudinal Network Analysis Method / Farhad MONTAZERI in Journal of Autism and Developmental Disorders, 53-11 (November 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-11 (November 2023) . - p.4293-4307 Titre : Network Structure of Autism Spectrum Disorder Behaviors and Its Evolution in Preschool Children: Insights from a New Longitudinal Network Analysis Method Type de document : texte imprimé Auteurs : Farhad MONTAZERI, Auteur ; Jan K. BUITELAAR, Auteur ; Iris J. OOSTERLING, Auteur ; Annelies A. DE BILDT, Auteur ; George M. ANDERSON, Auteur Article en page(s) : p.4293-4307 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Network modeling of the social, communication and restrictive/repetitive behaviors (RRBs) included in the definition of Autism Spectrum Disorder was performed. The Autism Diagnostic Interview-Revised (ADI-R) assessed behaviors in 139 pre-school cases at two cross-sections that averaged 34.8 months apart. Cross-sectional networks were based on the correlation matrix of the ADI-R behavioral items and the "bootCross" method was developed and enabled the estimation of a longitudinal network. At both stages, RRB items/nodes formed a consistent peripheral cluster, while social and communication nodes formed a core cluster that diverged with time. These differences in the nature and evolution of the RRB and socio-communicative dimensions indicate that their inter-behavior dynamics are very different. The most central behaviors across stages are proposed as prime targets for efficient therapeutic intervention. En ligne : https://doi.org/10.1007/s10803-022-05723-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=512 [article] Network Structure of Autism Spectrum Disorder Behaviors and Its Evolution in Preschool Children: Insights from a New Longitudinal Network Analysis Method [texte imprimé] / Farhad MONTAZERI, Auteur ; Jan K. BUITELAAR, Auteur ; Iris J. OOSTERLING, Auteur ; Annelies A. DE BILDT, Auteur ; George M. ANDERSON, Auteur . - p.4293-4307. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-11 (November 2023) . - p.4293-4307 Index. décimale : PER Périodiques Résumé : Network modeling of the social, communication and restrictive/repetitive behaviors (RRBs) included in the definition of Autism Spectrum Disorder was performed. The Autism Diagnostic Interview-Revised (ADI-R) assessed behaviors in 139 pre-school cases at two cross-sections that averaged 34.8 months apart. Cross-sectional networks were based on the correlation matrix of the ADI-R behavioral items and the "bootCross" method was developed and enabled the estimation of a longitudinal network. At both stages, RRB items/nodes formed a consistent peripheral cluster, while social and communication nodes formed a core cluster that diverged with time. These differences in the nature and evolution of the RRB and socio-communicative dimensions indicate that their inter-behavior dynamics are very different. The most central behaviors across stages are proposed as prime targets for efficient therapeutic intervention. En ligne : https://doi.org/10.1007/s10803-022-05723-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=512

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