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Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD / Ira L. COHEN in Journal of Autism and Developmental Disorders, 49-4 (April 2019)
[article]
Titre : Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD Type de document : Texte imprimé et/ou numérique Auteurs : Ira L. COHEN, Auteur ; M. J. FLORY, Auteur Article en page(s) : p.1423-1437 Langues : Anglais (eng) Mots-clés : Adaptive skills Autism severity Autism spectrum disorder Decision tree Developmental trajectories Subgroups Index. décimale : PER Périodiques Résumé : A recent cross-sectional analysis of PDD Behavior Inventory (PDDBI) data, analyzed with a classification and regression tree algorithm, yielded a decision tree (the Autism Spectrum Disorder-Decision Tree or ASD-DT) that detected three behaviorally distinct ASD subgroups: minimally verbal, verbal, and atypical. These subgroups differed in PDDBI profiles and in factors previously reported to be predictors of autism severity and adaptive behavior trajectories. We retrospectively analyzed trajectories of adaptive skills and autism severity in these subgroups, defined by ASD-DTs calculated from initial evaluation PDDBIs. Results confirmed predictions that each subgroup had distinct trajectories that varied with the type of adaptive behavior assessed suggesting that the ASD-DT has prognostic value that could be helpful for both clinical and research applications. En ligne : https://dx.doi.org/10.1007/s10803-018-3830-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388
in Journal of Autism and Developmental Disorders > 49-4 (April 2019) . - p.1423-1437[article] Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD [Texte imprimé et/ou numérique] / Ira L. COHEN, Auteur ; M. J. FLORY, Auteur . - p.1423-1437.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-4 (April 2019) . - p.1423-1437
Mots-clés : Adaptive skills Autism severity Autism spectrum disorder Decision tree Developmental trajectories Subgroups Index. décimale : PER Périodiques Résumé : A recent cross-sectional analysis of PDD Behavior Inventory (PDDBI) data, analyzed with a classification and regression tree algorithm, yielded a decision tree (the Autism Spectrum Disorder-Decision Tree or ASD-DT) that detected three behaviorally distinct ASD subgroups: minimally verbal, verbal, and atypical. These subgroups differed in PDDBI profiles and in factors previously reported to be predictors of autism severity and adaptive behavior trajectories. We retrospectively analyzed trajectories of adaptive skills and autism severity in these subgroups, defined by ASD-DTs calculated from initial evaluation PDDBIs. Results confirmed predictions that each subgroup had distinct trajectories that varied with the type of adaptive behavior assessed suggesting that the ASD-DT has prognostic value that could be helpful for both clinical and research applications. En ligne : https://dx.doi.org/10.1007/s10803-018-3830-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388 A cluster analysis exploration of autism spectrum disorder subgroups in children without intellectual disability / Felicity KLOPPER in Research in Autism Spectrum Disorders, 36 (April 2017)
[article]
Titre : A cluster analysis exploration of autism spectrum disorder subgroups in children without intellectual disability Type de document : Texte imprimé et/ou numérique Auteurs : Felicity KLOPPER, Auteur ; Renee TESTA, Auteur ; Christos PANTELIS, Auteur ; Efstratios SKAFIDAS, Auteur Article en page(s) : p.66-78 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders Asperger disorder Autistic disorder Classification Subgroups Index. décimale : PER Périodiques Résumé : The heterogeneity in autism spectrum disorder (ASD) remains poorly understood, particularly in individuals without intellectual disability (ID), where phenotypic variability can be most pronounced. The presence of phenotypic subgroups continues to be questioned. This study investigated whether children with ASD without ID are differentiable into clinically meaningful subgroups. Method Data from the ‘gold standard’ ASD diagnostic instruments for 61 children (5–14 years) with ASD without ID were subjected to exploratory cluster analysis. Cognition, language, pragmatic communication, and behaviour were used to explore subgroups. Results Children with ASD without ID could be differentiated into Moderate and Severe Social Impairment subgroups when core ASD symptoms were more closely examined. The Moderate Social Impairment subgroup showed less severe social interaction and communication impairments but greater lifetime severity of restricted/repetitive behaviours. In contrast, the Severe Social Impairment subgroup, with poorer social interaction and communication skills, had lower lifetime severity of restricted/repetitive behaviours. This subgroup also had greater cognitive and language difficulties, and poorer adaptive functioning. Importantly, however, these neurocognitive and functional differences showed only small to moderate associations with the differentiated ASD clinical profiles. Conclusions Evidence of dissociated levels of severity across core ASD dimensions supports the idea that clinically meaningful subgroups within ASD without ID can be identified. The dissociated profiles of ASD features could represent different underlying neurobiological mechanisms for each subgroup. Identifying such subgroups in practice can improve the clinical utility of diagnostic labels in this population. Thus, both categorical and dimensional approaches may be useful in classifying ASD, with neither alone being adequate. En ligne : http://dx.doi.org/10.1016/j.rasd.2017.01.006 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304
in Research in Autism Spectrum Disorders > 36 (April 2017) . - p.66-78[article] A cluster analysis exploration of autism spectrum disorder subgroups in children without intellectual disability [Texte imprimé et/ou numérique] / Felicity KLOPPER, Auteur ; Renee TESTA, Auteur ; Christos PANTELIS, Auteur ; Efstratios SKAFIDAS, Auteur . - p.66-78.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 36 (April 2017) . - p.66-78
Mots-clés : Autism spectrum disorders Asperger disorder Autistic disorder Classification Subgroups Index. décimale : PER Périodiques Résumé : The heterogeneity in autism spectrum disorder (ASD) remains poorly understood, particularly in individuals without intellectual disability (ID), where phenotypic variability can be most pronounced. The presence of phenotypic subgroups continues to be questioned. This study investigated whether children with ASD without ID are differentiable into clinically meaningful subgroups. Method Data from the ‘gold standard’ ASD diagnostic instruments for 61 children (5–14 years) with ASD without ID were subjected to exploratory cluster analysis. Cognition, language, pragmatic communication, and behaviour were used to explore subgroups. Results Children with ASD without ID could be differentiated into Moderate and Severe Social Impairment subgroups when core ASD symptoms were more closely examined. The Moderate Social Impairment subgroup showed less severe social interaction and communication impairments but greater lifetime severity of restricted/repetitive behaviours. In contrast, the Severe Social Impairment subgroup, with poorer social interaction and communication skills, had lower lifetime severity of restricted/repetitive behaviours. This subgroup also had greater cognitive and language difficulties, and poorer adaptive functioning. Importantly, however, these neurocognitive and functional differences showed only small to moderate associations with the differentiated ASD clinical profiles. Conclusions Evidence of dissociated levels of severity across core ASD dimensions supports the idea that clinically meaningful subgroups within ASD without ID can be identified. The dissociated profiles of ASD features could represent different underlying neurobiological mechanisms for each subgroup. Identifying such subgroups in practice can improve the clinical utility of diagnostic labels in this population. Thus, both categorical and dimensional approaches may be useful in classifying ASD, with neither alone being adequate. En ligne : http://dx.doi.org/10.1016/j.rasd.2017.01.006 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304 Detecting Subgroups in Children Diagnosed with Pervasive Developmental Disorder - Not Otherwise Specified / Laura A. BRENNAN in Journal of Autism and Developmental Disorders, 45-5 (May 2015)
[article]
Titre : Detecting Subgroups in Children Diagnosed with Pervasive Developmental Disorder - Not Otherwise Specified Type de document : Texte imprimé et/ou numérique Auteurs : Laura A. BRENNAN, Auteur ; Marianne L. BARTON, Auteur ; Chi-Ming CHEN, Auteur ; James GREEN, Auteur ; Deborah A. FEIN, Auteur Article en page(s) : p.1329-1344 Langues : Anglais (eng) Mots-clés : PDD-NOS Cluster analysis DSM 5 ASD Subgroups Index. décimale : PER Périodiques Résumé : Hierarchical cluster analyses were used to detect three subgroups in a sample of children with pervasive developmental disorder—not otherwise specified (PDD-NOS) evaluated at ages 2 and 4. At age 2, Cluster 1 demonstrated few autism symptoms and high cognitive scores; 60 % no longer met criteria for PDD at 4. Cluster 2 exhibited more autism symptoms and lower cognitive scores at 2; 89.5 % met criteria for ASD at 4. Cluster 3 had the lowest cognitive scores and most impaired social/communication skills at 2, but no repetitive behaviors; 60 % diagnosed with Autistic Disorder at 4. Results shed light on outcomes for different PDD-NOS types and raise questions regarding the increased importance of repetitive behaviors in DSM-5. En ligne : http://dx.doi.org/10.1007/s10803-014-2295-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1329-1344[article] Detecting Subgroups in Children Diagnosed with Pervasive Developmental Disorder - Not Otherwise Specified [Texte imprimé et/ou numérique] / Laura A. BRENNAN, Auteur ; Marianne L. BARTON, Auteur ; Chi-Ming CHEN, Auteur ; James GREEN, Auteur ; Deborah A. FEIN, Auteur . - p.1329-1344.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1329-1344
Mots-clés : PDD-NOS Cluster analysis DSM 5 ASD Subgroups Index. décimale : PER Périodiques Résumé : Hierarchical cluster analyses were used to detect three subgroups in a sample of children with pervasive developmental disorder—not otherwise specified (PDD-NOS) evaluated at ages 2 and 4. At age 2, Cluster 1 demonstrated few autism symptoms and high cognitive scores; 60 % no longer met criteria for PDD at 4. Cluster 2 exhibited more autism symptoms and lower cognitive scores at 2; 89.5 % met criteria for ASD at 4. Cluster 3 had the lowest cognitive scores and most impaired social/communication skills at 2, but no repetitive behaviors; 60 % diagnosed with Autistic Disorder at 4. Results shed light on outcomes for different PDD-NOS types and raise questions regarding the increased importance of repetitive behaviors in DSM-5. En ligne : http://dx.doi.org/10.1007/s10803-014-2295-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259 Homogeneous Subgroups of Young Children with Autism Improve Phenotypic Characterization in the Study to Explore Early Development / Lisa D. WIGGINS in Journal of Autism and Developmental Disorders, 47-11 (November 2017)
[article]
Titre : Homogeneous Subgroups of Young Children with Autism Improve Phenotypic Characterization in the Study to Explore Early Development Type de document : Texte imprimé et/ou numérique Auteurs : Lisa D. WIGGINS, Auteur ; L. H. TIAN, Auteur ; S. E. LEVY, Auteur ; C. RICE, Auteur ; L. C. LEE, Auteur ; Laura A. SCHIEVE, Auteur ; J. PANDEY, Auteur ; J. DANIELS, Auteur ; Lisa BLASKEY, Auteur ; S. HEPBURN, Auteur ; R. LANDA, Auteur ; R. EDMONDSON-PRETZEL, Auteur ; W. THOMPSON, Auteur Article en page(s) : p.3634-3645 Langues : Anglais (eng) Mots-clés : Autism Autism spectrum disorder Characterization Phenotypes Subgroups Index. décimale : PER Périodiques Résumé : The objective of this study was to identify homogenous classes of young children with autism spectrum disorder (ASD) to improve phenotypic characterization. Children were enrolled in the Study to Explore Early Development between 2 and 5 years of age. 707 children were classified with ASD after a comprehensive evaluation with strict diagnostic algorithms. Four classes of children with ASD were identified from latent class analysis: mild language delay with cognitive rigidity, mild language and motor delay with dysregulation, general developmental delay, and significant developmental delay with repetitive motor behaviors. We conclude that a four-class phenotypic model of children with ASD best describes our data and improves phenotypic characterization of young children with ASD. Implications for screening, diagnosis, and research are discussed. En ligne : http://dx.doi.org/10.1007/s10803-017-3280-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=325
in Journal of Autism and Developmental Disorders > 47-11 (November 2017) . - p.3634-3645[article] Homogeneous Subgroups of Young Children with Autism Improve Phenotypic Characterization in the Study to Explore Early Development [Texte imprimé et/ou numérique] / Lisa D. WIGGINS, Auteur ; L. H. TIAN, Auteur ; S. E. LEVY, Auteur ; C. RICE, Auteur ; L. C. LEE, Auteur ; Laura A. SCHIEVE, Auteur ; J. PANDEY, Auteur ; J. DANIELS, Auteur ; Lisa BLASKEY, Auteur ; S. HEPBURN, Auteur ; R. LANDA, Auteur ; R. EDMONDSON-PRETZEL, Auteur ; W. THOMPSON, Auteur . - p.3634-3645.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 47-11 (November 2017) . - p.3634-3645
Mots-clés : Autism Autism spectrum disorder Characterization Phenotypes Subgroups Index. décimale : PER Périodiques Résumé : The objective of this study was to identify homogenous classes of young children with autism spectrum disorder (ASD) to improve phenotypic characterization. Children were enrolled in the Study to Explore Early Development between 2 and 5 years of age. 707 children were classified with ASD after a comprehensive evaluation with strict diagnostic algorithms. Four classes of children with ASD were identified from latent class analysis: mild language delay with cognitive rigidity, mild language and motor delay with dysregulation, general developmental delay, and significant developmental delay with repetitive motor behaviors. We conclude that a four-class phenotypic model of children with ASD best describes our data and improves phenotypic characterization of young children with ASD. Implications for screening, diagnosis, and research are discussed. En ligne : http://dx.doi.org/10.1007/s10803-017-3280-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=325 Identifying Subgroups of Toddlers with DSM-5 Autism Spectrum Disorder Based on Core Symptoms / H. K. HARRIS in Journal of Autism and Developmental Disorders, 51-12 (December 2021)
[article]
Titre : Identifying Subgroups of Toddlers with DSM-5 Autism Spectrum Disorder Based on Core Symptoms Type de document : Texte imprimé et/ou numérique Auteurs : H. K. HARRIS, Auteur ; C. LEE, Auteur ; G. D. SIDERIDIS, Auteur ; William J. BARBARESI, Auteur ; E. HARSTAD, Auteur Article en page(s) : p.4471-4485 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis Child, Preschool Cognition Communication Diagnostic and Statistical Manual of Mental Disorders Female Humans Male Retrospective Studies Autism spectrum disorder Core symptoms Subgroups Toddlers Index. décimale : PER Périodiques Résumé : The objective of this study was to identify subgroups of toddlers with DSM-5 ASD based on core ASD symptoms using a person-based analytical framework. This is a retrospective study of 500 toddlers (mean age 26 months, 79% male) with DSM-5 ASD. Data were analyzed using latent class analyses in which profiles were formed based on ASD symptomatology. Social communication (SC) symptoms favored a three-class solution, while restricted/repetitive behaviors (RRBs) favored a two-class solution. Classes with higher consistency of SC deficits were younger, with lower developmental functioning. The class with more RRBs was older, with higher functioning. If confirmed in other populations, these classes may more precisely characterize subgroups within the heterogeneous group of toddlers at time of ASD diagnosis. En ligne : http://dx.doi.org/10.1007/s10803-021-04879-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454
in Journal of Autism and Developmental Disorders > 51-12 (December 2021) . - p.4471-4485[article] Identifying Subgroups of Toddlers with DSM-5 Autism Spectrum Disorder Based on Core Symptoms [Texte imprimé et/ou numérique] / H. K. HARRIS, Auteur ; C. LEE, Auteur ; G. D. SIDERIDIS, Auteur ; William J. BARBARESI, Auteur ; E. HARSTAD, Auteur . - p.4471-4485.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-12 (December 2021) . - p.4471-4485
Mots-clés : Autism Spectrum Disorder/diagnosis Child, Preschool Cognition Communication Diagnostic and Statistical Manual of Mental Disorders Female Humans Male Retrospective Studies Autism spectrum disorder Core symptoms Subgroups Toddlers Index. décimale : PER Périodiques Résumé : The objective of this study was to identify subgroups of toddlers with DSM-5 ASD based on core ASD symptoms using a person-based analytical framework. This is a retrospective study of 500 toddlers (mean age 26 months, 79% male) with DSM-5 ASD. Data were analyzed using latent class analyses in which profiles were formed based on ASD symptomatology. Social communication (SC) symptoms favored a three-class solution, while restricted/repetitive behaviors (RRBs) favored a two-class solution. Classes with higher consistency of SC deficits were younger, with lower developmental functioning. The class with more RRBs was older, with higher functioning. If confirmed in other populations, these classes may more precisely characterize subgroups within the heterogeneous group of toddlers at time of ASD diagnosis. En ligne : http://dx.doi.org/10.1007/s10803-021-04879-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454 Defining clusters of young autistic and typically developing children based on loudness-dependent auditory electrophysiological responses / Patrick DWYER in Molecular Autism, 11 (2020)
PermalinkExploring Developmental and Behavioral Heterogeneity among Preschoolers with ASD: A Cluster Analysis on Principal Components / Shuting ZHENG in Autism Research, 13-5 (May 2020)
PermalinkIncreased facial asymmetry in autism spectrum conditions is associated with symptom presentation / Maryam BOUTRUS in Autism Research, 12-12 (December)
PermalinkInvestigating facial phenotype in autism spectrum conditions: The importance of a hypothesis driven approach / Maryam BOUTRUS in Autism Research, 10-12 (December 2017)
PermalinkLatent trajectories of adaptive behaviour in infants at high and low familial risk for autism spectrum disorder / G. BUSSU in Molecular Autism, 10 (2019)
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