22 recherche sur le mot-clé 'network analysis'

Network Analysis of Anxiety in the Autism Realm / F. 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 et/ou numérique Auteurs : F. MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; V. 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 et/ou numérique] / F. MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; V. 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 et/ou numérique 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 et/ou numérique] / 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 analysis of ecological momentary assessment identifies frustration as a central node in irritability / Wan-Ling TSENG in Journal of Child Psychology and Psychiatry, 64-8 (August 2023)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 64-8 (August 2023) . - p.1212-1221 Titre : Network analysis of ecological momentary assessment identifies frustration as a central node in irritability Type de document : Texte imprimé et/ou numérique Auteurs : Wan-Ling TSENG, Auteur ; Reut NAIM, Auteur ; Amanda CHUE, Auteur ; Shannon SHAUGHNESSY, Auteur ; Jennifer MEIGS, Auteur ; Daniel S. PINE, Auteur ; Ellen LEIBENLUFT, Auteur ; Katharina KIRCANSKI, Auteur ; Melissa A. BROTMAN, Auteur Article en page(s) : p.1212-1221 Langues : Anglais (eng) Mots-clés : Irritability  frustration  anger  mood  anxiety  ecological momentary assessment  network analysis Index. décimale : PER Périodiques Résumé : Background Irritability presents transdiagnostically, commonly occurring with anxiety and other mood symptoms. However, little is known about the temporal and dynamic interplay among irritability-related clinical phenomena. Using a novel network analytic approach with smartphone-based ecological momentary assessment (EMA), we examined how irritability and other anxiety and mood symptoms were connected. Methods Sample included 152 youth ages 8 18 years (M + SD = 12.28 + 2.53; 69.74% male; 65.79% White) across several diagnostic groups enriched for irritability including disruptive mood dysregulation disorder (n = 34), oppositional defiant disorder (n = 9), attention-deficit/hyperactivity disorder (n = 47), anxiety disorder (n = 29), and healthy comparisons (n = 33). Participants completed EMA on irritability-related constructs and other mood and anxiety symptoms three times a day for 7 days. EMA probed symptoms on two timescales: since the last prompt (between-prompt) versus at the time of the prompt (momentary). Irritability was also assessed using parent-, child- and clinician-reports (Affective Reactivity Index; ARI), following EMA. Multilevel vector autoregressive (mlVAR) models estimated a temporal, a contemporaneous within-subject and a between-subject network of symptoms, separately for between-prompt and momentary symptoms. Results For between-prompt symptoms, frustration emerged as the most central node in both within- and between-subject networks and predicted more mood changes at the next timepoint in the temporal network. For momentary symptoms, sadness and anger emerged as the most central node in the within- and between-subject network, respectively. While anger was positively related to sadness within individuals and measurement occasions, anger was more broadly positively related to sadness, mood lability, and worry between/across individuals. Finally, mean levels, not variability, of EMA-indexed irritability were strongly related to ARI scores. Conclusions This study advances current understanding of symptom-level and temporal dynamics of irritability. Results suggest frustration as a potential clinically relevant treatment target. Future experimental work and clinical trials that systematically manipulate irritability-related features (e.g. frustration, unfairness) will elucidate the causal relations among clinical variables. En ligne : https://doi.org/10.1111/jcpp.13794 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508 [article] Network analysis of ecological momentary assessment identifies frustration as a central node in irritability [Texte imprimé et/ou numérique] / Wan-Ling TSENG, Auteur ; Reut NAIM, Auteur ; Amanda CHUE, Auteur ; Shannon SHAUGHNESSY, Auteur ; Jennifer MEIGS, Auteur ; Daniel S. PINE, Auteur ; Ellen LEIBENLUFT, Auteur ; Katharina KIRCANSKI, Auteur ; Melissa A. BROTMAN, Auteur . - p.1212-1221. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 64-8 (August 2023) . - p.1212-1221 Mots-clés : Irritability  frustration  anger  mood  anxiety  ecological momentary assessment  network analysis Index. décimale : PER Périodiques Résumé : Background Irritability presents transdiagnostically, commonly occurring with anxiety and other mood symptoms. However, little is known about the temporal and dynamic interplay among irritability-related clinical phenomena. Using a novel network analytic approach with smartphone-based ecological momentary assessment (EMA), we examined how irritability and other anxiety and mood symptoms were connected. Methods Sample included 152 youth ages 8 18 years (M + SD = 12.28 + 2.53; 69.74% male; 65.79% White) across several diagnostic groups enriched for irritability including disruptive mood dysregulation disorder (n = 34), oppositional defiant disorder (n = 9), attention-deficit/hyperactivity disorder (n = 47), anxiety disorder (n = 29), and healthy comparisons (n = 33). Participants completed EMA on irritability-related constructs and other mood and anxiety symptoms three times a day for 7 days. EMA probed symptoms on two timescales: since the last prompt (between-prompt) versus at the time of the prompt (momentary). Irritability was also assessed using parent-, child- and clinician-reports (Affective Reactivity Index; ARI), following EMA. Multilevel vector autoregressive (mlVAR) models estimated a temporal, a contemporaneous within-subject and a between-subject network of symptoms, separately for between-prompt and momentary symptoms. Results For between-prompt symptoms, frustration emerged as the most central node in both within- and between-subject networks and predicted more mood changes at the next timepoint in the temporal network. For momentary symptoms, sadness and anger emerged as the most central node in the within- and between-subject network, respectively. While anger was positively related to sadness within individuals and measurement occasions, anger was more broadly positively related to sadness, mood lability, and worry between/across individuals. Finally, mean levels, not variability, of EMA-indexed irritability were strongly related to ARI scores. Conclusions This study advances current understanding of symptom-level and temporal dynamics of irritability. Results suggest frustration as a potential clinically relevant treatment target. Future experimental work and clinical trials that systematically manipulate irritability-related features (e.g. frustration, unfairness) will elucidate the causal relations among clinical variables. En ligne : https://doi.org/10.1111/jcpp.13794 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508

Network Analysis of Internet Addiction Symptoms Among a Clinical Sample of Japanese Adolescents with Autism Spectrum Disorder / T. HIROTA in Journal of Autism and Developmental Disorders, 51-8 (August 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-8 (August 2021) . - p.2764-2772 Titre : Network Analysis of Internet Addiction Symptoms Among a Clinical Sample of Japanese Adolescents with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : T. HIROTA, Auteur ; E. MCELROY, Auteur ; R. SO, Auteur Article en page(s) : p.2764-2772 Langues : Anglais (eng) Mots-clés : Adolescent  Adolescent Behavior/psychology  Autism Spectrum Disorder/diagnosis/epidemiology/psychology  Female  Humans  Internet/statistics & numerical data  Internet Addiction Disorder/diagnosis/epidemiology/psychology  Japan/epidemiology  Male  Social Network Analysis  Autism spectrum disorder  Behavioral addiction  Centrality  Internet addiction  Network analysis Index. décimale : PER Périodiques Résumé : In the present study, we employed network analysis that conceptualizes internet addiction (IA) as a complex network of mutually influencing symptoms in 108 adolescents with autism spectrum disorder (ASD) to examine the network architecture of IA symptoms and identify central/influential symptoms. Our analysis revealed that defensive and secretive behaviors and concealment of internet use were identified as central symptoms in this population, suggesting that mitigating these symptoms potentially prevent the development and/or maintenance of IA in adolescents with ASD. Providing adolescents and their caregivers with psychoeducation on the role of central symptoms above in IA can be a salient intervention. Doing so may facilitate nonconflicting conversations between them about adolescents' internet use and promote more healthy adolescents' internet use behavior. En ligne : http://dx.doi.org/10.1007/s10803-020-04714-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Network Analysis of Internet Addiction Symptoms Among a Clinical Sample of Japanese Adolescents with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / T. HIROTA, Auteur ; E. MCELROY, Auteur ; R. SO, Auteur . - p.2764-2772. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-8 (August 2021) . - p.2764-2772 Mots-clés : Adolescent  Adolescent Behavior/psychology  Autism Spectrum Disorder/diagnosis/epidemiology/psychology  Female  Humans  Internet/statistics & numerical data  Internet Addiction Disorder/diagnosis/epidemiology/psychology  Japan/epidemiology  Male  Social Network Analysis  Autism spectrum disorder  Behavioral addiction  Centrality  Internet addiction  Network analysis Index. décimale : PER Périodiques Résumé : In the present study, we employed network analysis that conceptualizes internet addiction (IA) as a complex network of mutually influencing symptoms in 108 adolescents with autism spectrum disorder (ASD) to examine the network architecture of IA symptoms and identify central/influential symptoms. Our analysis revealed that defensive and secretive behaviors and concealment of internet use were identified as central symptoms in this population, suggesting that mitigating these symptoms potentially prevent the development and/or maintenance of IA in adolescents with ASD. Providing adolescents and their caregivers with psychoeducation on the role of central symptoms above in IA can be a salient intervention. Doing so may facilitate nonconflicting conversations between them about adolescents' internet use and promote more healthy adolescents' internet use behavior. En ligne : http://dx.doi.org/10.1007/s10803-020-04714-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

ADHD and autism symptoms in youth: a network analysis / L. C. FARHAT in Journal of Child Psychology and Psychiatry, 63-2 (February 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-2 (February 2022) . - p.143-151 Titre : ADHD and autism symptoms in youth: a network analysis Type de document : Texte imprimé et/ou numérique Auteurs : L. C. FARHAT, Auteur ; Helena BRENTANI, Auteur ; V. H. C. DE TOLEDO, Auteur ; E. SHEPHARD, Auteur ; P. MATTOS, Auteur ; Simon BARON-COHEN, Auteur ; A. THAPAR, Auteur ; E. CASELLA, Auteur ; Guilherme V. POLANCZYK, Auteur Article en page(s) : p.143-151 Langues : Anglais (eng) Mots-clés : Attention-deficit hyperactivity disorder  autism spectrum disorder  comorbidity  network analysis  neurodevelopmental Index. décimale : PER Périodiques Résumé : BACKGROUND: Previous research investigating the overlap between attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (henceforth, autism) symptoms in population samples have relied on latent variable modeling in which averaged scores representing dimensions were derived from observed symptoms. There are no studies evaluating how ADHD and autism symptoms interact at the level of individual symptom items. METHODS: We aimed to address this gap by performing a network analysis on data from a school survey of children aged 6-17?years old (N?=?7,405). ADHD and autism symptoms were measured via parent-report on the Swanson, Nolan, Pelham-IV questionnaire and the Childhood Autism Spectrum test, respectively. RESULTS: A relatively low interconnectivity between ADHD and autism symptoms was found with only 10.06% of possible connections (edges) between one ADHD and one autism symptoms different than zero. Associations between ADHD and autism symptoms were significantly weaker than those between two symptoms pertaining to the same construct. Select ADHD symptoms, particularly those presenting in social contexts (e.g. 'talks excessively', 'does not wait turn'), showed moderate-to-strong associations with autism symptoms, but some were considered redundant to autism symptoms. CONCLUSIONS: The present findings indicate that individual ADHD and autism symptoms are largely segregated in accordance with diagnostic boundaries corresponding to these conditions in children and adolescents from the community. These findings could improve our clinical conceptualization of ADHD and autism and guide advancements in diagnosis and treatment. En ligne : http://dx.doi.org/10.1111/jcpp.13436 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=457 [article] ADHD and autism symptoms in youth: a network analysis [Texte imprimé et/ou numérique] / L. C. FARHAT, Auteur ; Helena BRENTANI, Auteur ; V. H. C. DE TOLEDO, Auteur ; E. SHEPHARD, Auteur ; P. MATTOS, Auteur ; Simon BARON-COHEN, Auteur ; A. THAPAR, Auteur ; E. CASELLA, Auteur ; Guilherme V. POLANCZYK, Auteur . - p.143-151. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-2 (February 2022) . - p.143-151 Mots-clés : Attention-deficit hyperactivity disorder  autism spectrum disorder  comorbidity  network analysis  neurodevelopmental Index. décimale : PER Périodiques Résumé : BACKGROUND: Previous research investigating the overlap between attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (henceforth, autism) symptoms in population samples have relied on latent variable modeling in which averaged scores representing dimensions were derived from observed symptoms. There are no studies evaluating how ADHD and autism symptoms interact at the level of individual symptom items. METHODS: We aimed to address this gap by performing a network analysis on data from a school survey of children aged 6-17?years old (N?=?7,405). ADHD and autism symptoms were measured via parent-report on the Swanson, Nolan, Pelham-IV questionnaire and the Childhood Autism Spectrum test, respectively. RESULTS: A relatively low interconnectivity between ADHD and autism symptoms was found with only 10.06% of possible connections (edges) between one ADHD and one autism symptoms different than zero. Associations between ADHD and autism symptoms were significantly weaker than those between two symptoms pertaining to the same construct. Select ADHD symptoms, particularly those presenting in social contexts (e.g. 'talks excessively', 'does not wait turn'), showed moderate-to-strong associations with autism symptoms, but some were considered redundant to autism symptoms. CONCLUSIONS: The present findings indicate that individual ADHD and autism symptoms are largely segregated in accordance with diagnostic boundaries corresponding to these conditions in children and adolescents from the community. These findings could improve our clinical conceptualization of ADHD and autism and guide advancements in diagnosis and treatment. En ligne : http://dx.doi.org/10.1111/jcpp.13436 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=457

Coping, (mal)adaptive personality and identity in young adults: A network analysis / Sarah S. W. DE PAUW ; Peter PRINZIE in Development and Psychopathology, 36-2 (May 2024)  

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Dysfunctional posttraumatic cognitions, posttraumatic stress and depression in children and adolescents exposed to trauma: a network analysis / A. DE HAAN in Journal of Child Psychology and Psychiatry, 61-1 (January 2020)  

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Investigating the structure of trait rumination in autistic adults: A network analysis / Z. J. WILLIAMS in Autism, 25-7 (October 2021)  

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Investigating the structure of trait rumination in autistic adults: A network analysis / Zachary J. WILLIAMS in Autism, 26-7 (October 2022)  

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Mapping the Network of Neuropsychological Impairment in Children with Autism Spectrum Disorder: A Graph Theoretical Analysis / George M. IBRAHIM in Journal of Autism and Developmental Disorders, 46-12 (December 2016)  

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