2 recherche sur le mot-clé 'Factor mixture modelling'

Exploring Sensory Subgroups in Typical Development and Autism Spectrum Development Using Factor Mixture Modelling / Patrick DWYER in Journal of Autism and Developmental Disorders, 52-9 (September 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-9 (September 2022) . - p.3840-3860 Titre : Exploring Sensory Subgroups in Typical Development and Autism Spectrum Development Using Factor Mixture Modelling Type de document : Texte imprimé et/ou numérique Auteurs : Patrick DWYER, Auteur ; Emilio FERRER, Auteur ; Clifford D. SARON, Auteur ; Susan M. RIVERA, Auteur Article en page(s) : p.3840-3860 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder  Autistic Disorder  Child  Child Development Disorders, Pervasive  Humans  Auditory P1  Auditory event-related potentials (ERPs)  Autism  Factor mixture modelling  Heterogeneity  Sensory processing Index. décimale : PER Périodiques Résumé : This study uses factor mixture modelling of the Short Sensory Profile (SSP) at two time points to describe subgroups of young autistic and typically-developing children. This approach allows separate SSP subscales to influence overall SSP performance differentially across subgroups. Three subgroups were described, one including almost all typically-developing participants plus many autistic participants. SSP performance of a second, largely-autistic subgroup was predominantly shaped by a subscale indexing behaviours of low energy/weakness. Finally, the third subgroup, again largely autistic, contained participants with low (or more "atypical") SSP scores across most subscales. In this subgroup, autistic participants exhibited large P1 amplitudes to loud sounds. Autistic participants in subgroups with more atypical SSP scores had higher anxiety and more sleep disturbances. En ligne : http://dx.doi.org/10.1007/s10803-021-05256-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=485 [article] Exploring Sensory Subgroups in Typical Development and Autism Spectrum Development Using Factor Mixture Modelling [Texte imprimé et/ou numérique] / Patrick DWYER, Auteur ; Emilio FERRER, Auteur ; Clifford D. SARON, Auteur ; Susan M. RIVERA, Auteur . - p.3840-3860. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-9 (September 2022) . - p.3840-3860 Mots-clés : Autism Spectrum Disorder  Autistic Disorder  Child  Child Development Disorders, Pervasive  Humans  Auditory P1  Auditory event-related potentials (ERPs)  Autism  Factor mixture modelling  Heterogeneity  Sensory processing Index. décimale : PER Périodiques Résumé : This study uses factor mixture modelling of the Short Sensory Profile (SSP) at two time points to describe subgroups of young autistic and typically-developing children. This approach allows separate SSP subscales to influence overall SSP performance differentially across subgroups. Three subgroups were described, one including almost all typically-developing participants plus many autistic participants. SSP performance of a second, largely-autistic subgroup was predominantly shaped by a subscale indexing behaviours of low energy/weakness. Finally, the third subgroup, again largely autistic, contained participants with low (or more "atypical") SSP scores across most subscales. In this subgroup, autistic participants exhibited large P1 amplitudes to loud sounds. Autistic participants in subgroups with more atypical SSP scores had higher anxiety and more sleep disturbances. En ligne : http://dx.doi.org/10.1007/s10803-021-05256-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=485

An emotion recognition subtyping approach to studying the heterogeneity and comorbidity of autism spectrum disorders and attention-deficit/hyperactivity disorder / F. 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 et/ou numérique Auteurs : F. WADDINGTON, Auteur ; Catharina A. HARTMAN, Auteur ; Y. DE BRUIJN, Auteur ; M. LAPPENSCHAAR, Auteur ; A. OERLEMANS, Auteur ; Jan K. BUITELAAR, Auteur ; B. 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 et/ou numérique] / F. WADDINGTON, Auteur ; Catharina A. HARTMAN, Auteur ; Y. DE BRUIJN, Auteur ; M. LAPPENSCHAAR, Auteur ; A. OERLEMANS, Auteur ; Jan K. BUITELAAR, Auteur ; B. 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