Dissecting the phenotypic heterogeneity in sensory features in autism spectrum disorder: a factor mixture modelling approach / Julian TILLMANN in Molecular Autism, 11 (2020)  

Public ISBD [article]  inMolecular Autism > 11 (2020) . - 67 p. Titre : Dissecting the phenotypic heterogeneity in sensory features in autism spectrum disorder: a factor mixture modelling approach Type de document : texte imprimé Auteurs : Julian TILLMANN, Auteur ; Mirko ULJAREVIĆ, Auteur ; Daisy CRAWLEY, Auteur ; Guillaume DUMAS, Auteur ; Eva LOTH, Auteur ; Declan G.M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Tony CHARMAN, Auteur Article en page(s) : 67 p. Langues : Anglais (eng) Mots-clés : Anxiety  Autism spectrum disorder  Heterogeneity  Phenotype  Sensory features  Social-communication symptoms  of/and/or speaker for Takeda/Shire, Roche, Medice, Servier and Angelini. He is not  an employee of any of these companies, and not a stock shareholder of any of these  companies. He has no other financial or material support, including expert  testimony, patents and royalties. Julian Tillmann is a consultant to F. Hoffmann-La  Roche. Index. décimale : PER Périodiques Résumé : BACKGROUND: Heterogeneity in the phenotypic presentation of autism spectrum disorder (ASD) is apparent in the profile and the severity of sensory features. Here, we applied factor mixture modelling (FMM) to test a multidimensional factor model of sensory processing in ASD. We aimed to identify homogeneous sensory subgroups in ASD that differ intrinsically in their severity along continuous factor scores. We also investigated sensory subgroups in relation to clinical variables: sex, age, IQ, social-communication symptoms, restricted and repetitive behaviours, adaptive functioning and symptoms of anxiety and attention-deficit/hyperactivity disorder. METHODS: Three hundred thirty-two children and adults with ASD between the ages of 6 and 30 years with IQs varying between 40 and 148 were included. First, three different confirmatory factor models were fit to the 38 items of the Short Sensory Profile (SSP). Then, latent class models (with two-to-six subgroups) were evaluated. The best performing factor model, the 7-factor structure, was subsequently used in two FMMs that varied in the number of subgroups: a two-subgroup, seven-factor model and a three-subgroup and seven-factor model. RESULTS: The 'three-subgroup/seven-factor' FMM was superior to all other models based on different fit criteria. Identified subgroups differed in sensory severity from severe, moderate to low. Accounting for the potential confounding effects of age and IQ, participants in these sensory subgroups had different levels of social-communicative symptoms, restricted and repetitive behaviours, adaptive functioning skills and symptoms of inattention and anxiety. LIMITATIONS: Results were derived using a single parent-report measure of sensory features, the SSP, which limits the generalisability of findings. CONCLUSION: Sensory features can be best described by three homogeneous sensory subgroups that differ in sensory severity gradients along seven continuous factor scores. Identified sensory subgroups were further differentiated by the severity of core and co-occurring symptoms, and level of adaptive functioning, providing novel evidence on the associated clinical correlates of sensory subgroups. These sensory subgroups provide a platform to further interrogate the neurobiological and genetic correlates of altered sensory processing in ASD. En ligne : http://dx.doi.org/10.1186/s13229-020-00367-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=433 [article] Dissecting the phenotypic heterogeneity in sensory features in autism spectrum disorder: a factor mixture modelling approach [texte imprimé] / Julian TILLMANN, Auteur ; Mirko ULJAREVIĆ, Auteur ; Daisy CRAWLEY, Auteur ; Guillaume DUMAS, Auteur ; Eva LOTH, Auteur ; Declan G.M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Tony CHARMAN, Auteur . - 67 p. Langues : Anglais (eng) in Molecular Autism > 11 (2020) . - 67 p. Mots-clés : Anxiety  Autism spectrum disorder  Heterogeneity  Phenotype  Sensory features  Social-communication symptoms  of/and/or speaker for Takeda/Shire, Roche, Medice, Servier and Angelini. He is not  an employee of any of these companies, and not a stock shareholder of any of these  companies. He has no other financial or material support, including expert  testimony, patents and royalties. Julian Tillmann is a consultant to F. Hoffmann-La  Roche. Index. décimale : PER Périodiques Résumé : BACKGROUND: Heterogeneity in the phenotypic presentation of autism spectrum disorder (ASD) is apparent in the profile and the severity of sensory features. Here, we applied factor mixture modelling (FMM) to test a multidimensional factor model of sensory processing in ASD. We aimed to identify homogeneous sensory subgroups in ASD that differ intrinsically in their severity along continuous factor scores. We also investigated sensory subgroups in relation to clinical variables: sex, age, IQ, social-communication symptoms, restricted and repetitive behaviours, adaptive functioning and symptoms of anxiety and attention-deficit/hyperactivity disorder. METHODS: Three hundred thirty-two children and adults with ASD between the ages of 6 and 30 years with IQs varying between 40 and 148 were included. First, three different confirmatory factor models were fit to the 38 items of the Short Sensory Profile (SSP). Then, latent class models (with two-to-six subgroups) were evaluated. The best performing factor model, the 7-factor structure, was subsequently used in two FMMs that varied in the number of subgroups: a two-subgroup, seven-factor model and a three-subgroup and seven-factor model. RESULTS: The 'three-subgroup/seven-factor' FMM was superior to all other models based on different fit criteria. Identified subgroups differed in sensory severity from severe, moderate to low. Accounting for the potential confounding effects of age and IQ, participants in these sensory subgroups had different levels of social-communicative symptoms, restricted and repetitive behaviours, adaptive functioning skills and symptoms of inattention and anxiety. LIMITATIONS: Results were derived using a single parent-report measure of sensory features, the SSP, which limits the generalisability of findings. CONCLUSION: Sensory features can be best described by three homogeneous sensory subgroups that differ in sensory severity gradients along seven continuous factor scores. Identified sensory subgroups were further differentiated by the severity of core and co-occurring symptoms, and level of adaptive functioning, providing novel evidence on the associated clinical correlates of sensory subgroups. These sensory subgroups provide a platform to further interrogate the neurobiological and genetic correlates of altered sensory processing in ASD. En ligne : http://dx.doi.org/10.1186/s13229-020-00367-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=433

Facial expression recognition is linked to clinical and neurofunctional differences in autism / Hannah MEYER-LINDENBERG in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 43 p. Titre : Facial expression recognition is linked to clinical and neurofunctional differences in autism Type de document : texte imprimé Auteurs : Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J.H. JONES, Auteur ; Hannah HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary J. HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian F. BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G.M. MURPHY, Auteur ; Michael BRAMMER, Auteur ; Eva LOTH, Auteur Article en page(s) : 43 p. Langues : Anglais (eng) Mots-clés : Humans  Facial Recognition  Autistic Disorder/diagnostic imaging  Emotions  Magnetic Resonance Imaging/methods  Biomarkers  Autism Spectrum Disorder  Facial Expression  Autism  Autism spectrum disorder  Clustering analysis  Development  Facial expression recognition  Multi-site  Social brain  Stratification biomarkers  fMRI  consultant to F. Hoffmann-La Roche Ltd. and Servier and has received royalties  from Sage Publications and Guilford Publications. TB served in an advisory or  consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH,  Takeda, and Infectopharm. He received conference support or speaker’s fee by  Lilly, Medice, and Takeda. He received royalties from Hogrefe, Kohlhammer, CIP  Medien, Oxford University Press  the present work is unrelated to these  relationships. AM-L has received consultant fees in the past two years from  Boehringer Ingelheim, Elsevier, Lundbeck Int. Neuroscience Foundation, Lundbeck  AS, The Wolfson Foundation, Thieme Verlag, Sage Therapeutics, von Behring  Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind  Institute, CISSN. Furthermore, he has received speaker fees from Italian Society  of biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS  France, BAG Psychiatrie Oberbayern. JB has been in the past 3 years a consultant  to/member of advisory board of/and/or speaker for Takeda/Shire, Roche, Medice,  Angelini, Janssen, and Servier. He is not an employee of any of these companies,  and not a stock shareholder of any of these companies. He has no other financial  or material support, including expert testimony, patents, royalties. EL is an  Associate Editor at Molecular Autism. DM has been paid for advisory board work by  F. Hoffmann-La Roche Ltd. and Servier, and for editorial work by Springer. The  other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulties in social communication are a defining clinical feature of autism. However, the underlying neurobiological heterogeneity has impeded targeted therapies and requires new approaches to identifying clinically relevant bio-behavioural subgroups. In the largest autism cohort to date, we comprehensively examined difficulties in facial expression recognition, a key process in social communication, as a bio-behavioural stratification biomarker, and validated them against clinical features and neurofunctional responses. METHODS: Between 255 and 488 participants aged 6-30 years with autism, typical development and/or mild intellectual disability completed the Karolinska Directed Emotional Faces task, the Reading the Mind in the Eyes Task and/or the Films Expression Task. We first examined mean-group differences on each test. Then, we used a novel intersection approach that compares two centroid and connectivity-based clustering methods to derive subgroups based on the combined performance across the three tasks. Measures and subgroups were then related to clinical features and neurofunctional differences measured using fMRI during a fearful face-matching task. RESULTS: We found significant mean-group differences on each expression recognition test. However, cluster analyses showed that these were driven by a low-performing autistic subgroup (~ 30% of autistic individuals who performed below 2SDs of the neurotypical mean on at least one test), while a larger subgroup (~ 70%) performed within 1SD on at least 2 tests. The low-performing subgroup also had on average significantly more social communication difficulties and lower activation in the amygdala and fusiform gyrus than the high-performing subgroup. LIMITATIONS: Findings of autism expression recognition subgroups and their characteristics require independent replication. This is currently not possible, as there is no other existing dataset that includes all relevant measures. However, we demonstrated high internal robustness (91.6%) of findings between two clustering methods with fundamentally different assumptions, which is a critical pre-condition for independent replication. CONCLUSIONS: We identified a subgroup of autistic individuals with expression recognition difficulties and showed that this related to clinical and neurobiological characteristics. If replicated, expression recognition may serve as bio-behavioural stratification biomarker and aid in the development of targeted interventions for a subgroup of autistic individuals. En ligne : http://dx.doi.org/10.1186/s13229-022-00520-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Facial expression recognition is linked to clinical and neurofunctional differences in autism [texte imprimé] / Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J.H. JONES, Auteur ; Hannah HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary J. HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian F. BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G.M. MURPHY, Auteur ; Michael BRAMMER, Auteur ; Eva LOTH, Auteur . - 43 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 43 p. Mots-clés : Humans  Facial Recognition  Autistic Disorder/diagnostic imaging  Emotions  Magnetic Resonance Imaging/methods  Biomarkers  Autism Spectrum Disorder  Facial Expression  Autism  Autism spectrum disorder  Clustering analysis  Development  Facial expression recognition  Multi-site  Social brain  Stratification biomarkers  fMRI  consultant to F. Hoffmann-La Roche Ltd. and Servier and has received royalties  from Sage Publications and Guilford Publications. TB served in an advisory or  consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH,  Takeda, and Infectopharm. He received conference support or speaker’s fee by  Lilly, Medice, and Takeda. He received royalties from Hogrefe, Kohlhammer, CIP  Medien, Oxford University Press  the present work is unrelated to these  relationships. AM-L has received consultant fees in the past two years from  Boehringer Ingelheim, Elsevier, Lundbeck Int. Neuroscience Foundation, Lundbeck  AS, The Wolfson Foundation, Thieme Verlag, Sage Therapeutics, von Behring  Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind  Institute, CISSN. Furthermore, he has received speaker fees from Italian Society  of biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS  France, BAG Psychiatrie Oberbayern. JB has been in the past 3 years a consultant  to/member of advisory board of/and/or speaker for Takeda/Shire, Roche, Medice,  Angelini, Janssen, and Servier. He is not an employee of any of these companies,  and not a stock shareholder of any of these companies. He has no other financial  or material support, including expert testimony, patents, royalties. EL is an  Associate Editor at Molecular Autism. DM has been paid for advisory board work by  F. Hoffmann-La Roche Ltd. and Servier, and for editorial work by Springer. The  other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulties in social communication are a defining clinical feature of autism. However, the underlying neurobiological heterogeneity has impeded targeted therapies and requires new approaches to identifying clinically relevant bio-behavioural subgroups. In the largest autism cohort to date, we comprehensively examined difficulties in facial expression recognition, a key process in social communication, as a bio-behavioural stratification biomarker, and validated them against clinical features and neurofunctional responses. METHODS: Between 255 and 488 participants aged 6-30 years with autism, typical development and/or mild intellectual disability completed the Karolinska Directed Emotional Faces task, the Reading the Mind in the Eyes Task and/or the Films Expression Task. We first examined mean-group differences on each test. Then, we used a novel intersection approach that compares two centroid and connectivity-based clustering methods to derive subgroups based on the combined performance across the three tasks. Measures and subgroups were then related to clinical features and neurofunctional differences measured using fMRI during a fearful face-matching task. RESULTS: We found significant mean-group differences on each expression recognition test. However, cluster analyses showed that these were driven by a low-performing autistic subgroup (~ 30% of autistic individuals who performed below 2SDs of the neurotypical mean on at least one test), while a larger subgroup (~ 70%) performed within 1SD on at least 2 tests. The low-performing subgroup also had on average significantly more social communication difficulties and lower activation in the amygdala and fusiform gyrus than the high-performing subgroup. LIMITATIONS: Findings of autism expression recognition subgroups and their characteristics require independent replication. This is currently not possible, as there is no other existing dataset that includes all relevant measures. However, we demonstrated high internal robustness (91.6%) of findings between two clustering methods with fundamentally different assumptions, which is a critical pre-condition for independent replication. CONCLUSIONS: We identified a subgroup of autistic individuals with expression recognition difficulties and showed that this related to clinical and neurobiological characteristics. If replicated, expression recognition may serve as bio-behavioural stratification biomarker and aid in the development of targeted interventions for a subgroup of autistic individuals. En ligne : http://dx.doi.org/10.1186/s13229-022-00520-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

How do core autism traits and associated symptoms relate to quality of life? Findings from the Longitudinal European Autism Project / Bethany OAKLEY in Autism, 25-2 (February 2021)  

Public ISBD [article]  inAutism > 25-2 (February 2021) . - p.389-404 Titre : How do core autism traits and associated symptoms relate to quality of life? Findings from the Longitudinal European Autism Project Type de document : texte imprimé Auteurs : Bethany OAKLEY, Auteur ; Julian TILLMANN, Auteur ; Jumana AHMAD, Auteur ; Daisy CRAWLEY, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Rosemary J. HOLT, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Jan K. BUITELAAR, Auteur ; Emily SIMONOFF, Auteur ; Declan G.M. MURPHY, Auteur ; Eva LOTH, Auteur Article en page(s) : p.389-404 Langues : Anglais (eng) Mots-clés : anxiety  autism  depression  quality of life  well-being Index. décimale : PER Périodiques Résumé : Previous studies suggest that some autistic individuals report lower satisfaction, or well-being, with different aspects of everyday life than those without autism. It is unclear whether this might be partly explained by symptoms of anxiety and/or depression, which affect at least 20%-50% of autistic people. In this study, we measured individual differences in well-being in 573 six to thirty-year-olds with and without a diagnosis of autism. We investigated whether individual differences in well-being were explained by autism traits (e.g. social-communication difficulties) and/or anxiety and depression symptoms. We showed that, though well-being was lower for some autistic individuals, compared to those without autism, many autistic individuals reported good well-being. Where well-being was reduced, this was particularly explained by depression symptoms, across all ages. For children/adolescents, anxiety and social-communication difficulties were also related to some aspects of well-being. Our study suggests that support and services for improving mental health, especially depression symptoms, may also improve broader outcomes for autistic people. En ligne : http://dx.doi.org/10.1177/1362361320959959 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442 [article] How do core autism traits and associated symptoms relate to quality of life? Findings from the Longitudinal European Autism Project [texte imprimé] / Bethany OAKLEY, Auteur ; Julian TILLMANN, Auteur ; Jumana AHMAD, Auteur ; Daisy CRAWLEY, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Rosemary J. HOLT, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Jan K. BUITELAAR, Auteur ; Emily SIMONOFF, Auteur ; Declan G.M. MURPHY, Auteur ; Eva LOTH, Auteur . - p.389-404. Langues : Anglais (eng) in Autism > 25-2 (February 2021) . - p.389-404 Mots-clés : anxiety  autism  depression  quality of life  well-being Index. décimale : PER Périodiques Résumé : Previous studies suggest that some autistic individuals report lower satisfaction, or well-being, with different aspects of everyday life than those without autism. It is unclear whether this might be partly explained by symptoms of anxiety and/or depression, which affect at least 20%-50% of autistic people. In this study, we measured individual differences in well-being in 573 six to thirty-year-olds with and without a diagnosis of autism. We investigated whether individual differences in well-being were explained by autism traits (e.g. social-communication difficulties) and/or anxiety and depression symptoms. We showed that, though well-being was lower for some autistic individuals, compared to those without autism, many autistic individuals reported good well-being. Where well-being was reduced, this was particularly explained by depression symptoms, across all ages. For children/adolescents, anxiety and social-communication difficulties were also related to some aspects of well-being. Our study suggests that support and services for improving mental health, especially depression symptoms, may also improve broader outcomes for autistic people. En ligne : http://dx.doi.org/10.1177/1362361320959959 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442

Investigating the factors underlying adaptive functioning in autism in the EU-AIMS Longitudinal European Autism Project / Julian TILLMANN in Autism Research, 12-4 (April 2019)  

Public ISBD [article]  inAutism Research > 12-4 (April 2019) . - p.645-657 Titre : Investigating the factors underlying adaptive functioning in autism in the EU-AIMS Longitudinal European Autism Project Type de document : texte imprimé Auteurs : Julian TILLMANN, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Christopher H. CHATHAM, Auteur ; Daisy CRAWLEY, Auteur ; Richard HOLT, Auteur ; Bethany OAKLEY, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Jan K. BUITELAAR, Auteur ; Sarah DURSTON, Auteur ; Lindsay HAM, Auteur ; Eva LOTH, Auteur ; Emily SIMONOFF, Auteur ; Will SPOOREN, Auteur ; Declan G.M. MURPHY, Auteur ; Tony CHARMAN, Auteur Article en page(s) : p.645-657 Langues : Anglais (eng) Mots-clés : adaptive functioning  autism spectrum disorder  intellectual functioning  psychiatric symptoms  symptom severity Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorder (ASD) exhibit significant impairments in adaptive functioning that impact on their ability to meet the demands of everyday life. A recurrent finding is that there is a pronounced discrepancy between level of cognitive ability and adaptive functioning, and this is particularly prominent among higher-ability individuals. However, the key clinical and demographic associations of these discrepancies remain unclear. This study included a sample of 417 children, adolescents, and adults with ASD as part of the EU-AIMS LEAP cohort. We examined how age, sex, IQ, levels of ASD symptom and autistic trait severity and psychiatric symptomatology are associated with adaptive functioning as measured by the Vineland Adaptive Behavior Scales-Second Edition and IQ-adaptive functioning discrepancies. Older age, lower IQ and higher social-communication symptoms were associated with lower adaptive functioning. Results also demonstrate that older age, higher IQ and higher social-communication symptoms are associated with greater IQ-adaptive functioning discrepancy scores. By contrast, sensory ASD symptoms, repetitive and restricted behaviors, as well as symptoms of attention deficit/hyperactivity disorder (ADHD), anxiety and depression, were not associated with adaptive functioning or IQ-adaptive functioning discrepancy scores. These findings suggest that it is the core social communication problems that define ASD that contribute to adaptive function impairments that people with ASD experience. They show for the first time that sensory symptoms, repetitive behavior and associated psychiatric symptoms do not independently contribute to adaptive function impairments. Individuals with ASD require supportive interventions across the lifespan that take account of social-communicative ASD symptom severity. Autism Res 2019, 12: 645-657. (c) 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: This study investigated key clinical and demographic associations of adaptive functioning impairments in individuals with autism. We found that older age, lower IQ and more severe social-communicative symptoms, but not sensory or repetitive symptoms or co-occurring psychiatric symptoms, are associated with lower adaptive functioning and greater ability-adaptive function discrepancies. This suggests that interventions targeting adaptive skills acquisition should be flexible in their timing and intensity across developmental periods, levels of cognitive ability and take account of social-communicative ASD symptom severity. En ligne : https://dx.doi.org/10.1002/aur.2081 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389 [article] Investigating the factors underlying adaptive functioning in autism in the EU-AIMS Longitudinal European Autism Project [texte imprimé] / Julian TILLMANN, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Christopher H. CHATHAM, Auteur ; Daisy CRAWLEY, Auteur ; Richard HOLT, Auteur ; Bethany OAKLEY, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Jan K. BUITELAAR, Auteur ; Sarah DURSTON, Auteur ; Lindsay HAM, Auteur ; Eva LOTH, Auteur ; Emily SIMONOFF, Auteur ; Will SPOOREN, Auteur ; Declan G.M. MURPHY, Auteur ; Tony CHARMAN, Auteur . - p.645-657. Langues : Anglais (eng) in Autism Research > 12-4 (April 2019) . - p.645-657 Mots-clés : adaptive functioning  autism spectrum disorder  intellectual functioning  psychiatric symptoms  symptom severity Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorder (ASD) exhibit significant impairments in adaptive functioning that impact on their ability to meet the demands of everyday life. A recurrent finding is that there is a pronounced discrepancy between level of cognitive ability and adaptive functioning, and this is particularly prominent among higher-ability individuals. However, the key clinical and demographic associations of these discrepancies remain unclear. This study included a sample of 417 children, adolescents, and adults with ASD as part of the EU-AIMS LEAP cohort. We examined how age, sex, IQ, levels of ASD symptom and autistic trait severity and psychiatric symptomatology are associated with adaptive functioning as measured by the Vineland Adaptive Behavior Scales-Second Edition and IQ-adaptive functioning discrepancies. Older age, lower IQ and higher social-communication symptoms were associated with lower adaptive functioning. Results also demonstrate that older age, higher IQ and higher social-communication symptoms are associated with greater IQ-adaptive functioning discrepancy scores. By contrast, sensory ASD symptoms, repetitive and restricted behaviors, as well as symptoms of attention deficit/hyperactivity disorder (ADHD), anxiety and depression, were not associated with adaptive functioning or IQ-adaptive functioning discrepancy scores. These findings suggest that it is the core social communication problems that define ASD that contribute to adaptive function impairments that people with ASD experience. They show for the first time that sensory symptoms, repetitive behavior and associated psychiatric symptoms do not independently contribute to adaptive function impairments. Individuals with ASD require supportive interventions across the lifespan that take account of social-communicative ASD symptom severity. Autism Res 2019, 12: 645-657. (c) 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: This study investigated key clinical and demographic associations of adaptive functioning impairments in individuals with autism. We found that older age, lower IQ and more severe social-communicative symptoms, but not sensory or repetitive symptoms or co-occurring psychiatric symptoms, are associated with lower adaptive functioning and greater ability-adaptive function discrepancies. This suggests that interventions targeting adaptive skills acquisition should be flexible in their timing and intensity across developmental periods, levels of cognitive ability and take account of social-communicative ASD symptom severity. En ligne : https://dx.doi.org/10.1002/aur.2081 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389

Mapping the link between socio-economic factors, autistic traits and mental health across different settings / Teresa DEL BIANCO in Autism, 28-5 (May 2024)  

Public ISBD [article]  inAutism > 28-5 (May 2024) . - p.1280-1296 Titre : Mapping the link between socio-economic factors, autistic traits and mental health across different settings Type de document : texte imprimé Auteurs : Teresa DEL BIANCO, Auteur ; Georgia LOCKWOOD ESTRIN, Auteur ; Julian TILLMANN, Auteur ; Bethany OAKLEY, Auteur ; Daisy CRAWLEY, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Hannah HAYWARD, Auteur ; Mandy POTTER, Auteur ; Wendy MACKAY, Auteur ; Petrusa SMIT, Auteur ; Carlie DU PLESSIS, Auteur ; Lucy BRINK, Auteur ; Priscilla SPRINGER, Auteur ; Hein ODENDAAL, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Mark JOHNSON, Auteur ; Declan G.M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Eva LOTH, Auteur ; Emily J.H. JONES, Auteur Article en page(s) : p.1280-1296 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  environmental factors Index. décimale : PER Périodiques Résumé : Autistic individuals experience higher rates of externalising and internalising symptoms that may vary with environmental factors. However, there is limited research on variation across settings that may highlight common factors with globally generalisable effects. Data were taken from two cohorts: a multinational European sample (n = 764; 453 autistic; 311 non-autistic; 6-30 years), and a South African sample (n = 100 non-autistic; 3-11 years). An exploratory factor analysis aggregated clinical (Verbal Comprehension and Perceptual Index), adaptive traits (Vineland Adaptive Behaviour Scale) and socio-economic variables (parental employment and education, home and family characteristics) in each cohort separately. With regression, we investigated the effect of these factors and autistic traits on internalising and externalising scores (measured with the Strengths and Difficulties Questionnaire). Cohorts showed similar four-factor structures (Person Characteristics, Family System, Parental and Material Resources). The 'Family System' factor captured family size and maternal factors and was associated with lower internalising and externalising symptoms in both cohorts. In the European cohort, high autistic traits reduced this effect; the opposite was found in the South Africa cohort. Our exploratory findings from two separate analyses represent consistent evidence that Family System is associated with internalising and externalising symptoms, with a context-specific impact in persons with high autism traits. Lay Abstract Autistic individuals are more likely than non-autistic individuals to experience a mental health condition in their lifetime, and this includes externalising and internalising symptoms. We know very little about how different environments and family conditions impact these symptoms for autistic individuals. Improving our understanding of these relationships is important so that we can identify individuals who may be in greater need of support. In this article, we seek to improve our understanding of how environmental and family conditions impact externalising and internalising symptoms in autistic and non-autistic people. To do this, we conducted analyses with two cohorts in very different settings - in Europe and South Africa - to ensure our findings are globally representative. We used advanced statistical methods to establish environmental and family conditions that were similar to each other, and which could be combined into specific 'factors'. We found that four similar 'factors' could be identified in the two cohorts. These were distinguished by personal characteristics and environmental conditions of individuals, and were named Person Characteristics, Family System, Parental and Material Resources. Interestingly, just 'Family System' was associated with internalising and externalising symptoms, and this was the same in both cohorts. We also found that having high traits of autism impacted this relationship between Family System and mental health conditions with opposite directions in the two settings. These results show that characteristics in the Family System are associated with internalising and externalising symptoms, and autistic persons are particularly impacted, reinforcing the notion that family stressors are important to consider when implementing policy and practice related to improving the mental health of autistic people. En ligne : https://dx.doi.org/10.1177/13623613231200297 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=527 [article] Mapping the link between socio-economic factors, autistic traits and mental health across different settings [texte imprimé] / Teresa DEL BIANCO, Auteur ; Georgia LOCKWOOD ESTRIN, Auteur ; Julian TILLMANN, Auteur ; Bethany OAKLEY, Auteur ; Daisy CRAWLEY, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Hannah HAYWARD, Auteur ; Mandy POTTER, Auteur ; Wendy MACKAY, Auteur ; Petrusa SMIT, Auteur ; Carlie DU PLESSIS, Auteur ; Lucy BRINK, Auteur ; Priscilla SPRINGER, Auteur ; Hein ODENDAAL, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Mark JOHNSON, Auteur ; Declan G.M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Eva LOTH, Auteur ; Emily J.H. JONES, Auteur . - p.1280-1296. Langues : Anglais (eng) in Autism > 28-5 (May 2024) . - p.1280-1296 Mots-clés : autism spectrum disorders  environmental factors Index. décimale : PER Périodiques Résumé : Autistic individuals experience higher rates of externalising and internalising symptoms that may vary with environmental factors. However, there is limited research on variation across settings that may highlight common factors with globally generalisable effects. Data were taken from two cohorts: a multinational European sample (n = 764; 453 autistic; 311 non-autistic; 6-30 years), and a South African sample (n = 100 non-autistic; 3-11 years). An exploratory factor analysis aggregated clinical (Verbal Comprehension and Perceptual Index), adaptive traits (Vineland Adaptive Behaviour Scale) and socio-economic variables (parental employment and education, home and family characteristics) in each cohort separately. With regression, we investigated the effect of these factors and autistic traits on internalising and externalising scores (measured with the Strengths and Difficulties Questionnaire). Cohorts showed similar four-factor structures (Person Characteristics, Family System, Parental and Material Resources). The 'Family System' factor captured family size and maternal factors and was associated with lower internalising and externalising symptoms in both cohorts. In the European cohort, high autistic traits reduced this effect; the opposite was found in the South Africa cohort. Our exploratory findings from two separate analyses represent consistent evidence that Family System is associated with internalising and externalising symptoms, with a context-specific impact in persons with high autism traits. Lay Abstract Autistic individuals are more likely than non-autistic individuals to experience a mental health condition in their lifetime, and this includes externalising and internalising symptoms. We know very little about how different environments and family conditions impact these symptoms for autistic individuals. Improving our understanding of these relationships is important so that we can identify individuals who may be in greater need of support. In this article, we seek to improve our understanding of how environmental and family conditions impact externalising and internalising symptoms in autistic and non-autistic people. To do this, we conducted analyses with two cohorts in very different settings - in Europe and South Africa - to ensure our findings are globally representative. We used advanced statistical methods to establish environmental and family conditions that were similar to each other, and which could be combined into specific 'factors'. We found that four similar 'factors' could be identified in the two cohorts. These were distinguished by personal characteristics and environmental conditions of individuals, and were named Person Characteristics, Family System, Parental and Material Resources. Interestingly, just 'Family System' was associated with internalising and externalising symptoms, and this was the same in both cohorts. We also found that having high traits of autism impacted this relationship between Family System and mental health conditions with opposite directions in the two settings. These results show that characteristics in the Family System are associated with internalising and externalising symptoms, and autistic persons are particularly impacted, reinforcing the notion that family stressors are important to consider when implementing policy and practice related to improving the mental health of autistic people. En ligne : https://dx.doi.org/10.1177/13623613231200297 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=527

Social brain activation during mentalizing in a large autism cohort: the Longitudinal European Autism Project / Carolin MOESSNANG in Molecular Autism, 11 (2020)  

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The EU-AIMS Longitudinal European Autism Project (LEAP): clinical characterisation / Tony CHARMAN in Molecular Autism, 8 (2017)  

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The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders / Eva LOTH in Molecular Autism, 8 (2017)  

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