An emotion recognition subtyping approach to studying the heterogeneity and comorbidity of autism spectrum disorders and attention-deficit/hyperactivity disorder / Francesca WADDINGTON in Journal of Neurodevelopmental Disorders, 10-1 (December 2018)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 31 p. Titre : An emotion recognition subtyping approach to studying the heterogeneity and comorbidity of autism spectrum disorders and attention-deficit/hyperactivity disorder Type de document : texte imprimé Auteurs : Francesca WADDINGTON, Auteur ; Catharina A. HARTMAN, Auteur ; Yvette G.E. DE BRUIJN, Auteur ; Martijn LAPPENSCHAAR, Auteur ; Anoek OERLEMANS, Auteur ; Jan K. BUITELAAR, Auteur ; Barbara FRANKE, Auteur ; Nanda N. ROMMELSE, Auteur Année de publication : 2018 Article en page(s) : 31 p. Langues : Anglais (eng) Mots-clés : Attention-deficit/hyperactivity disorder  Autism spectrum disorders  Emotion recognition  Factor mixture modelling  Latent class Index. décimale : PER Périodiques Résumé : BACKGROUND: Emotion recognition dysfunction has been reported in both autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). This suggests that emotion recognition is a cross-disorder trait that may be utilised to understand the heterogeneous psychopathology of ASD and ADHD. We aimed to identify emotion recognition subtypes and to examine their relation with quantitative and diagnostic measures of ASD and ADHD to gain further insight into disorder comorbidity and heterogeneity. METHODS: Factor mixture modelling was used on speed and accuracy measures of auditory and visual emotion recognition tasks. These were administered to children and adolescents with ASD (N = 89), comorbid ASD + ADHD (N = 64), their unaffected siblings (N = 122), ADHD (N = 111), their unaffected siblings (N = 69), and controls (N = 220). Identified classes were compared on diagnostic and quantitative symptom measures. RESULTS: A four-class solution was revealed, with the following emotion recognition abilities: (1) average visual, impulsive auditory; (2) average-strong visual and auditory; (3) impulsive/imprecise visual, average auditory; (4) weak visual and auditory. The weakest performing class (4) contained the highest percentage of patients (66.07%) and the lowest percentage controls (10.09%), scoring the highest on ASD/ADHD measures. The best performing class (2) demonstrated the opposite: 48.98% patients, 15.26% controls with relatively low scores on ASD/ADHD measures. CONCLUSIONS: Subgroups of youths can be identified that differ both in quantitative and qualitative aspects of emotion recognition abilities. Weak emotion recognition abilities across sensory domains are linked to an increased risk for ASD as well as ADHD, although emotion recognition impairments alone are neither necessary nor sufficient parts of these disorders. En ligne : http://dx.doi.org/10.1186/s11689-018-9249-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386 [article] An emotion recognition subtyping approach to studying the heterogeneity and comorbidity of autism spectrum disorders and attention-deficit/hyperactivity disorder [texte imprimé] / Francesca WADDINGTON, Auteur ; Catharina A. HARTMAN, Auteur ; Yvette G.E. DE BRUIJN, Auteur ; Martijn LAPPENSCHAAR, Auteur ; Anoek OERLEMANS, Auteur ; Jan K. BUITELAAR, Auteur ; Barbara FRANKE, Auteur ; Nanda N. ROMMELSE, Auteur . - 2018 . - 31 p. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 31 p. Mots-clés : Attention-deficit/hyperactivity disorder  Autism spectrum disorders  Emotion recognition  Factor mixture modelling  Latent class Index. décimale : PER Périodiques Résumé : BACKGROUND: Emotion recognition dysfunction has been reported in both autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). This suggests that emotion recognition is a cross-disorder trait that may be utilised to understand the heterogeneous psychopathology of ASD and ADHD. We aimed to identify emotion recognition subtypes and to examine their relation with quantitative and diagnostic measures of ASD and ADHD to gain further insight into disorder comorbidity and heterogeneity. METHODS: Factor mixture modelling was used on speed and accuracy measures of auditory and visual emotion recognition tasks. These were administered to children and adolescents with ASD (N = 89), comorbid ASD + ADHD (N = 64), their unaffected siblings (N = 122), ADHD (N = 111), their unaffected siblings (N = 69), and controls (N = 220). Identified classes were compared on diagnostic and quantitative symptom measures. RESULTS: A four-class solution was revealed, with the following emotion recognition abilities: (1) average visual, impulsive auditory; (2) average-strong visual and auditory; (3) impulsive/imprecise visual, average auditory; (4) weak visual and auditory. The weakest performing class (4) contained the highest percentage of patients (66.07%) and the lowest percentage controls (10.09%), scoring the highest on ASD/ADHD measures. The best performing class (2) demonstrated the opposite: 48.98% patients, 15.26% controls with relatively low scores on ASD/ADHD measures. CONCLUSIONS: Subgroups of youths can be identified that differ both in quantitative and qualitative aspects of emotion recognition abilities. Weak emotion recognition abilities across sensory domains are linked to an increased risk for ASD as well as ADHD, although emotion recognition impairments alone are neither necessary nor sufficient parts of these disorders. En ligne : http://dx.doi.org/10.1186/s11689-018-9249-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386

Improved Diagnostic Validity of the ADOS Revised Algorithms: A Replication Study in an Independent Sample / Iris J. OOSTERLING in Journal of Autism and Developmental Disorders, 40-6 (June 2010)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 40-6 (June 2010) . - p.689-703 Titre : Improved Diagnostic Validity of the ADOS Revised Algorithms: A Replication Study in an Independent Sample Type de document : texte imprimé Auteurs : Iris J. OOSTERLING, Auteur ; Sophie H.N. SWINKELS, Auteur ; Sascha ROOS, Auteur ; Janne C. VISSER, Auteur ; Maretha V. DE JONGE, Auteur ; Nanda N. ROMMELSE, Auteur ; Jan K. BUITELAAR, Auteur ; Rutger Jan VAN DER GAAG, Auteur ; Annelies A. DE BILDT, Auteur ; Martijn LAPPENSCHAAR, Auteur Année de publication : 2010 Article en page(s) : p.689-703 Note générale : Article Open Access Langues : Anglais (eng) Mots-clés : Autism ADOS Algorithm Sensitivity Specificity Diagnosis Index. décimale : PER Périodiques Résumé : Recently, Gotham et al. (2007) proposed revised algorithms for the Autism Diagnostic Observation Schedule (ADOS) with improved diagnostic validity. The aim of the current study was to replicate predictive validity, factor structure, and correlations with age and verbal and nonverbal IQ of the ADOS revised algorithms for Modules 1 and 2 in a large independent Dutch sample (N = 532). Results showed that the improvement of diagnostic validity was most apparent for autism, except in very young or low functioning children. Results for other autism spectrum disorders were less consistent. Overall, these findings support the use of the more homogeneous revised algorithms, with the use of similar items across developmental cells making it easier to compare ADOS scores within and between individuals. En ligne : http://dx.doi.org/10.1007/s10803-009-0915-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=102 [article] Improved Diagnostic Validity of the ADOS Revised Algorithms: A Replication Study in an Independent Sample [texte imprimé] / Iris J. OOSTERLING, Auteur ; Sophie H.N. SWINKELS, Auteur ; Sascha ROOS, Auteur ; Janne C. VISSER, Auteur ; Maretha V. DE JONGE, Auteur ; Nanda N. ROMMELSE, Auteur ; Jan K. BUITELAAR, Auteur ; Rutger Jan VAN DER GAAG, Auteur ; Annelies A. DE BILDT, Auteur ; Martijn LAPPENSCHAAR, Auteur . - 2010 . - p.689-703. Article Open Access Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 40-6 (June 2010) . - p.689-703 Mots-clés : Autism ADOS Algorithm Sensitivity Specificity Diagnosis Index. décimale : PER Périodiques Résumé : Recently, Gotham et al. (2007) proposed revised algorithms for the Autism Diagnostic Observation Schedule (ADOS) with improved diagnostic validity. The aim of the current study was to replicate predictive validity, factor structure, and correlations with age and verbal and nonverbal IQ of the ADOS revised algorithms for Modules 1 and 2 in a large independent Dutch sample (N = 532). Results showed that the improvement of diagnostic validity was most apparent for autism, except in very young or low functioning children. Results for other autism spectrum disorders were less consistent. Overall, these findings support the use of the more homogeneous revised algorithms, with the use of similar items across developmental cells making it easier to compare ADOS scores within and between individuals. En ligne : http://dx.doi.org/10.1007/s10803-009-0915-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=102

The Structure of Autism Spectrum Disorder Symptoms in the General Population at 18 Months / Karin T. BEUKER in Journal of Autism and Developmental Disorders, 43-1 (January 2013)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 43-1 (January 2013) . - p.45-56 Titre : The Structure of Autism Spectrum Disorder Symptoms in the General Population at 18 Months Type de document : texte imprimé Auteurs : Karin T. BEUKER, Auteur ; Synnve SCHJØLBERG, Auteur ; Kari Kveim LIE, Auteur ; Rogier DONDERS, Auteur ; Martijn LAPPENSCHAAR, Auteur ; Sophie H.N. SWINKELS, Auteur ; Jan K. BUITELAAR, Auteur Article en page(s) : p.45-56 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Symptom domains  General population  Infants  MoBa  Confirmatory factor analysis (CFA)  Latent class analysis (LCA) Index. décimale : PER Périodiques Résumé : It is unclear whether symptoms of autism spectrum disorder (ASD) in young children in the population fit the three-factor structure of ASD as described in the DSM-IV, and cluster together in individual subjects. This study analysed questionnaire data on ASD symptoms filled in by mothers of 11,332 18-month-old children that was collected in the context of the Norwegian Mother and Child Cohort Study conducted by the Norwegian Institute of Public Health. Confirmatory Factor Analyses showed that the three-factor model had a significantly better fit then the two- and one-factor model of ASD symptoms. Latent class analysis revealed four homogeneous groups of children (classes) with different scores for Social Interaction and Communication at one hand and Stereotypies/Rigidity at the other hand. En ligne : http://dx.doi.org/10.1007/s10803-012-1546-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=187 [article] The Structure of Autism Spectrum Disorder Symptoms in the General Population at 18 Months [texte imprimé] / Karin T. BEUKER, Auteur ; Synnve SCHJØLBERG, Auteur ; Kari Kveim LIE, Auteur ; Rogier DONDERS, Auteur ; Martijn LAPPENSCHAAR, Auteur ; Sophie H.N. SWINKELS, Auteur ; Jan K. BUITELAAR, Auteur . - p.45-56. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 43-1 (January 2013) . - p.45-56 Mots-clés : Autism spectrum disorders  Symptom domains  General population  Infants  MoBa  Confirmatory factor analysis (CFA)  Latent class analysis (LCA) Index. décimale : PER Périodiques Résumé : It is unclear whether symptoms of autism spectrum disorder (ASD) in young children in the population fit the three-factor structure of ASD as described in the DSM-IV, and cluster together in individual subjects. This study analysed questionnaire data on ASD symptoms filled in by mothers of 11,332 18-month-old children that was collected in the context of the Norwegian Mother and Child Cohort Study conducted by the Norwegian Institute of Public Health. Confirmatory Factor Analyses showed that the three-factor model had a significantly better fit then the two- and one-factor model of ASD symptoms. Latent class analysis revealed four homogeneous groups of children (classes) with different scores for Social Interaction and Communication at one hand and Stereotypies/Rigidity at the other hand. En ligne : http://dx.doi.org/10.1007/s10803-012-1546-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=187

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