Age-Related Trajectories of Autistic Traits in Children With Angelman Syndrome / Sabine E. MOUS ; Leontine W. TEN HOOPEN ; André B. RIETMAN ; Kamil R. HIRALAL ; Karen G.C.B. BINDELS-DE HEUS ; Pieter F.A. DE NIJS ; Theresa C. MOHR ; Eline J. LENS ; Manon H.J. HILLEGERS ; Henriette A. MOLL ; Marie-Claire Y. DE WIT ; Gwen C. DIELEMAN in Autism Research, 18-4 (April 2025)  

Public ISBD [article]  inAutism Research > 18-4 (April 2025) . - p.870-880 Titre : Age-Related Trajectories of Autistic Traits in Children With Angelman Syndrome Type de document : texte imprimé Auteurs : Sabine E. MOUS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; André B. RIETMAN, Auteur ; Kamil R. HIRALAL, Auteur ; Karen G.C.B. BINDELS-DE HEUS, Auteur ; Pieter F.A. DE NIJS, Auteur ; Theresa C. MOHR, Auteur ; Eline J. LENS, Auteur ; Manon H.J. HILLEGERS, Auteur ; Henriette A. MOLL, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Gwen C. DIELEMAN, Auteur Article en page(s) : p.870-880 Langues : Anglais (eng) Mots-clés : Angelman syndrome  Autism Spectrum Disorder  autistic traits  longitudinal  repeated measures  sensory processing Index. décimale : PER Périodiques Résumé : ABSTRACT Angelman syndrome (AS) is a rare neurogenetic disorder. Previous studies indicate a high prevalence of autism spectrum disorder (ASD) with considerable variability. Little is known regarding the longitudinal trajectory of autistic traits. We aim to investigate autistic traits, the effect of age on these traits, and associated features in AS children. This (partly) longitudinal clinical record study at the ENCORE Expertise Center involved 107 AS children aged 2 18 with one (N 107), two (N 49), or three (N 14) measurements. Autistic traits and sensory processing issues were assessed using various instruments, and DSM classifications were used descriptively. Covariates were genotype, gender, and epilepsy. Results indicate a high prevalence of autistic traits and sensory processing issues. Children with the deletion genotype exhibited more autistic traits. Autism Diagnostic Observation Schedule (ADOS) classifications indicated higher rates of ASD compared to clinician DSM classifications. Autistic traits generally remained stable over time, except that ADOS scores significantly decreased for children with the UBE3A mutation genotype, and in the social affect domain for the entire group. In conclusion, incorporating the assessment of autistic traits and sensory processing into clinical practice for AS is important to inform adaptations of the environment to meet the child?s needs. Additionally, clinicians and researchers should be mindful of the potential for overestimating ASD traits in AS when relying on the ADOS. ASD diagnosis in AS should integrate multiple diagnostic instruments, diverse hetero-anamnestic sources, and multidisciplinary expert opinions. En ligne : https://doi.org/10.1002/aur.70017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554 [article] Age-Related Trajectories of Autistic Traits in Children With Angelman Syndrome [texte imprimé] / Sabine E. MOUS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; André B. RIETMAN, Auteur ; Kamil R. HIRALAL, Auteur ; Karen G.C.B. BINDELS-DE HEUS, Auteur ; Pieter F.A. DE NIJS, Auteur ; Theresa C. MOHR, Auteur ; Eline J. LENS, Auteur ; Manon H.J. HILLEGERS, Auteur ; Henriette A. MOLL, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Gwen C. DIELEMAN, Auteur . - p.870-880. Langues : Anglais (eng) in Autism Research > 18-4 (April 2025) . - p.870-880 Mots-clés : Angelman syndrome  Autism Spectrum Disorder  autistic traits  longitudinal  repeated measures  sensory processing Index. décimale : PER Périodiques Résumé : ABSTRACT Angelman syndrome (AS) is a rare neurogenetic disorder. Previous studies indicate a high prevalence of autism spectrum disorder (ASD) with considerable variability. Little is known regarding the longitudinal trajectory of autistic traits. We aim to investigate autistic traits, the effect of age on these traits, and associated features in AS children. This (partly) longitudinal clinical record study at the ENCORE Expertise Center involved 107 AS children aged 2 18 with one (N 107), two (N 49), or three (N 14) measurements. Autistic traits and sensory processing issues were assessed using various instruments, and DSM classifications were used descriptively. Covariates were genotype, gender, and epilepsy. Results indicate a high prevalence of autistic traits and sensory processing issues. Children with the deletion genotype exhibited more autistic traits. Autism Diagnostic Observation Schedule (ADOS) classifications indicated higher rates of ASD compared to clinician DSM classifications. Autistic traits generally remained stable over time, except that ADOS scores significantly decreased for children with the UBE3A mutation genotype, and in the social affect domain for the entire group. In conclusion, incorporating the assessment of autistic traits and sensory processing into clinical practice for AS is important to inform adaptations of the environment to meet the child?s needs. Additionally, clinicians and researchers should be mindful of the potential for overestimating ASD traits in AS when relying on the ADOS. ASD diagnosis in AS should integrate multiple diagnostic instruments, diverse hetero-anamnestic sources, and multidisciplinary expert opinions. En ligne : https://doi.org/10.1002/aur.70017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554

Autism Spectrum Disorder Symptom Profiles in Fragile X Syndrome, Angelman Syndrome, Tuberous Sclerosis Complex and Neurofibromatosis Type 1 / Kyra LUBBERS in Journal of Autism and Developmental Disorders, 56-2 (February 2026)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 56-2 (February 2026) . - p.793-807 Titre : Autism Spectrum Disorder Symptom Profiles in Fragile X Syndrome, Angelman Syndrome, Tuberous Sclerosis Complex and Neurofibromatosis Type 1 Type de document : texte imprimé Auteurs : Kyra LUBBERS, Auteur ; Kamil R. HIRALAL, Auteur ; Gwendolyn C. DIELEMAN, Auteur ; Doesjka A. HAGENAAR, Auteur ; Bram DIERCKX, Auteur ; Jeroen S. LEGERSTEE, Auteur ; Pieter F. A. DE NIJS, Auteur ; André B. RIETMAN, Auteur ; Rianne OOSTENBRINK, Auteur ; Karen G. C. B. BINDELS-DE HEUS, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Manon H. J. HILLEGERS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; Sabine E. MOUS, Auteur Article en page(s) : p.793-807 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Studying Autism Spectrum Disorder (ASD) heterogeneity in biologically homogeneous samples may increase our knowledge of ASD etiology. Fragile X syndrome (FXS), Angelman syndrome (AS), Tuberous Sclerosis Complex (TSC), and Neurofibromatosis type 1 (NF1) are monogenic disorders with high a prevalence of ASD symptomatology. This study aimed to identify ASD symptom profiles in a large group of children and adolescents (0;9–28 years) with FXS, AS, TSC, and NF1. Data on ASD symptomatology (Autism Diagnostic Observation Scale (ADOS-2) & Social Responsiveness Scale (SRS-2)) were collected from children and adolescents with FXS (n = 54), AS (n = 93), TSC (n = 112), and NF1 (n = 278). To identify groups of individuals with similar ASD profiles, we performed two latent profile analyses. We identified a four-profile model based on the ADOS-2, with a (1) ‘Non-spectrum symptom profile’, (2) ‘Social Affect symptom profile’, (3)‘Restricted/Repetitive Behaviors symptom profile’, and (4)‘ASD symptom profile’. We also identified a four-profile model based on the SRS, with a (1)‘Non-clinical symptom profile’, (2)‘Mild symptom profile’, (3)‘Moderate symptom profile’, and (4)‘Severe symptom profile’. Although each syndrome group exhibited varying degrees of severity, they also displayed heterogeneity in the profiles in which they were classified. We found distinct ASD symptom profiles in a population consisting of children and adolescents with FXS, AS, TSC, and NF1. Our study highlights the importance of a personalized approach to the identification and management of ASD symptoms in rare genetic syndromes. Future studies should aim to include more domains of functioning and investigate the stability of latent profiles over time. En ligne : https://doi.org/10.1007/s10803-024-06557-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=580 [article] Autism Spectrum Disorder Symptom Profiles in Fragile X Syndrome, Angelman Syndrome, Tuberous Sclerosis Complex and Neurofibromatosis Type 1 [texte imprimé] / Kyra LUBBERS, Auteur ; Kamil R. HIRALAL, Auteur ; Gwendolyn C. DIELEMAN, Auteur ; Doesjka A. HAGENAAR, Auteur ; Bram DIERCKX, Auteur ; Jeroen S. LEGERSTEE, Auteur ; Pieter F. A. DE NIJS, Auteur ; André B. RIETMAN, Auteur ; Rianne OOSTENBRINK, Auteur ; Karen G. C. B. BINDELS-DE HEUS, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Manon H. J. HILLEGERS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; Sabine E. MOUS, Auteur . - p.793-807. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 56-2 (February 2026) . - p.793-807 Index. décimale : PER Périodiques Résumé : Studying Autism Spectrum Disorder (ASD) heterogeneity in biologically homogeneous samples may increase our knowledge of ASD etiology. Fragile X syndrome (FXS), Angelman syndrome (AS), Tuberous Sclerosis Complex (TSC), and Neurofibromatosis type 1 (NF1) are monogenic disorders with high a prevalence of ASD symptomatology. This study aimed to identify ASD symptom profiles in a large group of children and adolescents (0;9–28 years) with FXS, AS, TSC, and NF1. Data on ASD symptomatology (Autism Diagnostic Observation Scale (ADOS-2) & Social Responsiveness Scale (SRS-2)) were collected from children and adolescents with FXS (n = 54), AS (n = 93), TSC (n = 112), and NF1 (n = 278). To identify groups of individuals with similar ASD profiles, we performed two latent profile analyses. We identified a four-profile model based on the ADOS-2, with a (1) ‘Non-spectrum symptom profile’, (2) ‘Social Affect symptom profile’, (3)‘Restricted/Repetitive Behaviors symptom profile’, and (4)‘ASD symptom profile’. We also identified a four-profile model based on the SRS, with a (1)‘Non-clinical symptom profile’, (2)‘Mild symptom profile’, (3)‘Moderate symptom profile’, and (4)‘Severe symptom profile’. Although each syndrome group exhibited varying degrees of severity, they also displayed heterogeneity in the profiles in which they were classified. We found distinct ASD symptom profiles in a population consisting of children and adolescents with FXS, AS, TSC, and NF1. Our study highlights the importance of a personalized approach to the identification and management of ASD symptoms in rare genetic syndromes. Future studies should aim to include more domains of functioning and investigate the stability of latent profiles over time. En ligne : https://doi.org/10.1007/s10803-024-06557-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=580

Latent trajectories in autistic individuals: A systematic review / Kamil R. HIRALAL in Autism, 30-2 (February 2026)  

Public ISBD [article]  inAutism > 30-2 (February 2026) . - p.285-299 Titre : Latent trajectories in autistic individuals: A systematic review Type de document : texte imprimé Auteurs : Kamil R. HIRALAL, Auteur ; Gwendolyn C. DIELEMAN, Auteur ; Britt R. KOK, Auteur ; Luka D. DIEDEREN, Auteur ; Rana P. DUMAN, Auteur ; Manon H.J. HILLEGERS, Auteur ; Sabine E. MOUS, Auteur Article en page(s) : p.285-299 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  development  heterogeneity  systematic review Index. décimale : PER Périodiques Résumé : Autism is heterogenic in core and co-occurring characteristics. Subtyping autism in a longitudinal manner aids the understanding of autism development throughout life and thus enhances personalized support. In this systematic review, we summarized the literature on latent core autism characteristics trajectories and trajectories of other functional domains in autistic individuals and identified predictors of trajectory assignment. We searched Embase, Medline, PsycINFO, Cochrane Central, Web of Science, and Google Scholar until April 22, 2025. We included longitudinal observational studies that applied statistical subtyping methods on core autism characteristics or other functional domains in autistic individuals. A total of 30 eligible analyses were included. The included analyses investigated core autism characteristics (10), adaptive behavior (10), behavioral problems (7), adverse childhood experiences (1), cognitive development (1), and feeding problems (1). For each domain, we found differing numbers and shapes of trajectories. Cognitive development was predictive of core autism symptom trajectory classifications, where cognitive development was generally lower in more severely affected core autism symptom trajectories. We found mixed results for other predictors. Future studies should focus on understudied outcome domains, such as motor coordination or sleep problems. In addition, more research is needed to understand when and why individuals deviate from their subgroup trajectory.Lay abstract Autistic people can have very different characteristics. Investigating groups based on their characteristics over time can improve our understanding of how autistic people develop and why development can differ between people. We reviewed studies that group autistic individuals based on their development of autistic features and other characteristics. We included 30 analyses and summarized their findings. The studies show that there are different ways autistic individuals develop based on core autistic characteristics (social difficulties and focused, intense and repetitive behaviors, interests and activities), as well as for adaptive behavior, behavioral problems, cognitive development, and feeding problems. For core characteristics, lower cognitive abilities seemed to be related to less favorable developmental pathways. This review showed that autistic people may show distinct patterns of development in core characteristics and other domains. We also highlight that some domains of functioning, such as motor coordination and sleeping problems, are not studied in the literature and future studies should focus on these domains as well since these are difficulties that autistic people often face. Identifying distinct developmental patterns in autistic children can help to predict the outcome of autistic people and may aid in offering personalized support. En ligne : https://dx.doi.org/10.1177/13623613251370818 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=578 [article] Latent trajectories in autistic individuals: A systematic review [texte imprimé] / Kamil R. HIRALAL, Auteur ; Gwendolyn C. DIELEMAN, Auteur ; Britt R. KOK, Auteur ; Luka D. DIEDEREN, Auteur ; Rana P. DUMAN, Auteur ; Manon H.J. HILLEGERS, Auteur ; Sabine E. MOUS, Auteur . - p.285-299. Langues : Anglais (eng) in Autism > 30-2 (February 2026) . - p.285-299 Mots-clés : autism spectrum disorder  development  heterogeneity  systematic review Index. décimale : PER Périodiques Résumé : Autism is heterogenic in core and co-occurring characteristics. Subtyping autism in a longitudinal manner aids the understanding of autism development throughout life and thus enhances personalized support. In this systematic review, we summarized the literature on latent core autism characteristics trajectories and trajectories of other functional domains in autistic individuals and identified predictors of trajectory assignment. We searched Embase, Medline, PsycINFO, Cochrane Central, Web of Science, and Google Scholar until April 22, 2025. We included longitudinal observational studies that applied statistical subtyping methods on core autism characteristics or other functional domains in autistic individuals. A total of 30 eligible analyses were included. The included analyses investigated core autism characteristics (10), adaptive behavior (10), behavioral problems (7), adverse childhood experiences (1), cognitive development (1), and feeding problems (1). For each domain, we found differing numbers and shapes of trajectories. Cognitive development was predictive of core autism symptom trajectory classifications, where cognitive development was generally lower in more severely affected core autism symptom trajectories. We found mixed results for other predictors. Future studies should focus on understudied outcome domains, such as motor coordination or sleep problems. In addition, more research is needed to understand when and why individuals deviate from their subgroup trajectory.Lay abstract Autistic people can have very different characteristics. Investigating groups based on their characteristics over time can improve our understanding of how autistic people develop and why development can differ between people. We reviewed studies that group autistic individuals based on their development of autistic features and other characteristics. We included 30 analyses and summarized their findings. The studies show that there are different ways autistic individuals develop based on core autistic characteristics (social difficulties and focused, intense and repetitive behaviors, interests and activities), as well as for adaptive behavior, behavioral problems, cognitive development, and feeding problems. For core characteristics, lower cognitive abilities seemed to be related to less favorable developmental pathways. This review showed that autistic people may show distinct patterns of development in core characteristics and other domains. We also highlight that some domains of functioning, such as motor coordination and sleeping problems, are not studied in the literature and future studies should focus on these domains as well since these are difficulties that autistic people often face. Identifying distinct developmental patterns in autistic children can help to predict the outcome of autistic people and may aid in offering personalized support. En ligne : https://dx.doi.org/10.1177/13623613251370818 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=578

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