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Auteur Julian TILLMANN |
Documents disponibles écrits par cet auteur (11)
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Association of cognitive and adaptive skills with internalizing and externalizing problems in autistic children and adolescents / Javiera DONOSO in Autism Research, 17-3 (March 2024)
[article]
Titre : Association of cognitive and adaptive skills with internalizing and externalizing problems in autistic children and adolescents Type de document : Texte imprimé et/ou numérique Auteurs : Javiera DONOSO, Auteur ; Fiona RATTRAY, Auteur ; Annelies DE BILDT, Auteur ; Julian TILLMANN, Auteur ; Penny WILLIAMS, Auteur ; Michael ABSOUD, Auteur ; Vasiliki TOTSIKA, Auteur Article en page(s) : p.596-609 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract The presence of an intellectual disability (ID) alongside autism is considered to increase the risk for mental health and behavior problems in children and adolescents. Existing evidence is restricted by looking at ID as a categorical classification. The study aimed to examine the association of cognitive and adaptive behavior skills with internalizing and externalizing problems in a large sample of autistic children and adolescents, across a wide range of cognitive skills. Participants were 2759 children and adolescents aged between 4 and 18?years recruited as part of the Simons Simplex Collection (SSC), of whom 709 (approximately 25%) had ID. Multiple regression models examined associations of internalizing and externalizing problems with cognitive and adaptive skills (communication, daily living, and socialization skills). Cognitive skills were not associated with externalizing problems but were associated with more internalizing problems in autistic children without ID (Cog ?: 0.126). All adaptive skill domains were inversely associated with externalizing (Communication ?: ?0.145; Daily-Living ?: ?0.132; Socialization ?: ?0.289) and internalizing problems (Communication ?: ?0.074; Daily-Living ?: ?0.064; Socialization ?: ?0.213) in those without ID. Daily living (?: ?0.158) and socialization skills (?: ?0.104) were inversely correlated with externalizing problems in autistic children with ID, while only socialization problems (?: ?0.099) were associated with internalizing problems in this group. Socialization skills were systematically associated with internalizing and externalizing problems across all levels of cognitive functioning. Supporting social skills development may benefit all aspects of child mental health, while recognizing that children with higher cognitive skills are more vulnerable to internalizing problems might assist with earlier identification of these problems. En ligne : https://doi.org/10.1002/aur.3056 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=525
in Autism Research > 17-3 (March 2024) . - p.596-609[article] Association of cognitive and adaptive skills with internalizing and externalizing problems in autistic children and adolescents [Texte imprimé et/ou numérique] / Javiera DONOSO, Auteur ; Fiona RATTRAY, Auteur ; Annelies DE BILDT, Auteur ; Julian TILLMANN, Auteur ; Penny WILLIAMS, Auteur ; Michael ABSOUD, Auteur ; Vasiliki TOTSIKA, Auteur . - p.596-609.
Langues : Anglais (eng)
in Autism Research > 17-3 (March 2024) . - p.596-609
Index. décimale : PER Périodiques Résumé : Abstract The presence of an intellectual disability (ID) alongside autism is considered to increase the risk for mental health and behavior problems in children and adolescents. Existing evidence is restricted by looking at ID as a categorical classification. The study aimed to examine the association of cognitive and adaptive behavior skills with internalizing and externalizing problems in a large sample of autistic children and adolescents, across a wide range of cognitive skills. Participants were 2759 children and adolescents aged between 4 and 18?years recruited as part of the Simons Simplex Collection (SSC), of whom 709 (approximately 25%) had ID. Multiple regression models examined associations of internalizing and externalizing problems with cognitive and adaptive skills (communication, daily living, and socialization skills). Cognitive skills were not associated with externalizing problems but were associated with more internalizing problems in autistic children without ID (Cog ?: 0.126). All adaptive skill domains were inversely associated with externalizing (Communication ?: ?0.145; Daily-Living ?: ?0.132; Socialization ?: ?0.289) and internalizing problems (Communication ?: ?0.074; Daily-Living ?: ?0.064; Socialization ?: ?0.213) in those without ID. Daily living (?: ?0.158) and socialization skills (?: ?0.104) were inversely correlated with externalizing problems in autistic children with ID, while only socialization problems (?: ?0.099) were associated with internalizing problems in this group. Socialization skills were systematically associated with internalizing and externalizing problems across all levels of cognitive functioning. Supporting social skills development may benefit all aspects of child mental health, while recognizing that children with higher cognitive skills are more vulnerable to internalizing problems might assist with earlier identification of these problems. En ligne : https://doi.org/10.1002/aur.3056 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=525 Facial expression recognition is linked to clinical and neurofunctional differences in autism / Hannah MEYER-LINDENBERG in Molecular Autism, 13 (2022)
[article]
Titre : Facial expression recognition is linked to clinical and neurofunctional differences in autism Type de document : Texte imprimé et/ou numérique Auteurs : Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J. H. JONES, Auteur ; Hannah L. HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G. MURPHY, Auteur ; Michael J. 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
in Molecular Autism > 13 (2022) . - 43 p.[article] Facial expression recognition is linked to clinical and neurofunctional differences in autism [Texte imprimé et/ou numérique] / Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J. H. JONES, Auteur ; Hannah L. HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G. MURPHY, Auteur ; Michael J. 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 Gray matter covariations and core symptoms of autism: the EU-AIMS Longitudinal European Autism Project / Ting MEI in Molecular Autism, 11 (2020)
[article]
Titre : Gray matter covariations and core symptoms of autism: the EU-AIMS Longitudinal European Autism Project Type de document : Texte imprimé et/ou numérique Auteurs : Ting MEI, Auteur ; Alberto LLERA, Auteur ; Dorothea L. FLORIS, Auteur ; Natalie J. FORDE, Auteur ; Julian TILLMANN, Auteur ; Sarah DURSTON, Auteur ; Carolin MOESSNANG, Auteur ; Tobias BANASCHEWSKI, Auteur ; Rosemary J. HOLT, Auteur ; Simon BARON-COHEN, Auteur ; Annika RAUSCH, Auteur ; Eva LOTH, Auteur ; Flavio DELL'ACQUA, Auteur ; Tony CHARMAN, Auteur ; Declan G. M. MURPHY, Auteur ; Christine ECKER, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur Langues : Anglais (eng) Mots-clés : Autism Canonical correlation analysis Independent component analysis Magnetic resonance imaging Voxel-based morphometry Cilag BV, Eli Lilly, Shire, Lundbeck, Roche, 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 or royalties. CFB is director and shareholder in SBGNeuro Ltd. TB served in an advisory or consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH, Shire, and Infectopharm. He received conference support or speaker’s fee by Lilly, Medice, and Shire. He received royalties from Hogrefe, Kohlhammer, CIP Medien, and Oxford University Press. TC has received consultancy from Roche and received book royalties from Guildford Press and Sage. DGM has been a consultant to, and advisory board member, for Roche and Servier. He is not an employee of any of these companies, and not a stock shareholder of any of these companies. The present work is unrelated to the above grants and relationships. The other authors report no biomedical financial interests or potential conflicts of interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Voxel-based morphometry (VBM) studies in autism spectrum disorder (autism) have yielded diverging results. This might partly be attributed to structural alterations being associating with the combined influence of several regions rather than with a single region. Further, these structural covariation differences may relate to continuous measures of autism rather than with categorical case-control contrasts. The current study aimed to identify structural covariation alterations in autism, and assessed canonical correlations between brain covariation patterns and core autism symptoms. METHODS: We studied 347 individuals with autism and 252 typically developing individuals, aged between 6 and 30 years, who have been deeply phenotyped in the Longitudinal European Autism Project. All participants' VBM maps were decomposed into spatially independent components using independent component analysis. A generalized linear model (GLM) was used to examine case-control differences. Next, canonical correlation analysis (CCA) was performed to separately explore the integrated effects between all the brain sources of gray matter variation and two sets of core autism symptoms. RESULTS: GLM analyses showed significant case-control differences for two independent components. The first component was primarily associated with decreased density of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and increased density of caudate nucleus in the autism group relative to typically developing individuals. The second component was related to decreased densities of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to typically developing individuals. The CCA results showed significant correlations between components that involved variation of thalamus, putamen, precentral gyrus, frontal, parietal, and occipital lobes, and the cerebellum, and repetitive, rigid and stereotyped behaviors and abnormal sensory behaviors in autism individuals. LIMITATIONS: Only 55.9% of the participants with autism had complete questionnaire data on continuous parent-reported symptom measures. CONCLUSIONS: Covaried areas associated with autism diagnosis and/or symptoms are scattered across the whole brain and include the limbic system, basal ganglia, thalamus, cerebellum, precentral gyrus, and parts of the frontal, parietal, and occipital lobes. Some of these areas potentially subserve social-communicative behavior, whereas others may underpin sensory processing and integration, and motor behavior. En ligne : http://dx.doi.org/10.1186/s13229-020-00389-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438
in Molecular Autism > 11 (2020)[article] Gray matter covariations and core symptoms of autism: the EU-AIMS Longitudinal European Autism Project [Texte imprimé et/ou numérique] / Ting MEI, Auteur ; Alberto LLERA, Auteur ; Dorothea L. FLORIS, Auteur ; Natalie J. FORDE, Auteur ; Julian TILLMANN, Auteur ; Sarah DURSTON, Auteur ; Carolin MOESSNANG, Auteur ; Tobias BANASCHEWSKI, Auteur ; Rosemary J. HOLT, Auteur ; Simon BARON-COHEN, Auteur ; Annika RAUSCH, Auteur ; Eva LOTH, Auteur ; Flavio DELL'ACQUA, Auteur ; Tony CHARMAN, Auteur ; Declan G. M. MURPHY, Auteur ; Christine ECKER, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur.
Langues : Anglais (eng)
in Molecular Autism > 11 (2020)
Mots-clés : Autism Canonical correlation analysis Independent component analysis Magnetic resonance imaging Voxel-based morphometry Cilag BV, Eli Lilly, Shire, Lundbeck, Roche, 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 or royalties. CFB is director and shareholder in SBGNeuro Ltd. TB served in an advisory or consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH, Shire, and Infectopharm. He received conference support or speaker’s fee by Lilly, Medice, and Shire. He received royalties from Hogrefe, Kohlhammer, CIP Medien, and Oxford University Press. TC has received consultancy from Roche and received book royalties from Guildford Press and Sage. DGM has been a consultant to, and advisory board member, for Roche and Servier. He is not an employee of any of these companies, and not a stock shareholder of any of these companies. The present work is unrelated to the above grants and relationships. The other authors report no biomedical financial interests or potential conflicts of interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Voxel-based morphometry (VBM) studies in autism spectrum disorder (autism) have yielded diverging results. This might partly be attributed to structural alterations being associating with the combined influence of several regions rather than with a single region. Further, these structural covariation differences may relate to continuous measures of autism rather than with categorical case-control contrasts. The current study aimed to identify structural covariation alterations in autism, and assessed canonical correlations between brain covariation patterns and core autism symptoms. METHODS: We studied 347 individuals with autism and 252 typically developing individuals, aged between 6 and 30 years, who have been deeply phenotyped in the Longitudinal European Autism Project. All participants' VBM maps were decomposed into spatially independent components using independent component analysis. A generalized linear model (GLM) was used to examine case-control differences. Next, canonical correlation analysis (CCA) was performed to separately explore the integrated effects between all the brain sources of gray matter variation and two sets of core autism symptoms. RESULTS: GLM analyses showed significant case-control differences for two independent components. The first component was primarily associated with decreased density of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and increased density of caudate nucleus in the autism group relative to typically developing individuals. The second component was related to decreased densities of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to typically developing individuals. The CCA results showed significant correlations between components that involved variation of thalamus, putamen, precentral gyrus, frontal, parietal, and occipital lobes, and the cerebellum, and repetitive, rigid and stereotyped behaviors and abnormal sensory behaviors in autism individuals. LIMITATIONS: Only 55.9% of the participants with autism had complete questionnaire data on continuous parent-reported symptom measures. CONCLUSIONS: Covaried areas associated with autism diagnosis and/or symptoms are scattered across the whole brain and include the limbic system, basal ganglia, thalamus, cerebellum, precentral gyrus, and parts of the frontal, parietal, and occipital lobes. Some of these areas potentially subserve social-communicative behavior, whereas others may underpin sensory processing and integration, and motor behavior. En ligne : http://dx.doi.org/10.1186/s13229-020-00389-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438 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)
[article]
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 et/ou numérique Auteurs : Bethany OAKLEY, Auteur ; Julian TILLMANN, Auteur ; Jumana AHMAD, Auteur ; Daisy CRAWLEY, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Rosemary HOLT, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Jan K. BUITELAAR, Auteur ; Emily SIMONOFF, Auteur ; Declan 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
in Autism > 25-2 (February 2021) . - p.389-404[article] How do core autism traits and associated symptoms relate to quality of life? Findings from the Longitudinal European Autism Project [Texte imprimé et/ou numérique] / Bethany OAKLEY, Auteur ; Julian TILLMANN, Auteur ; Jumana AHMAD, Auteur ; Daisy CRAWLEY, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Rosemary HOLT, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Jan K. BUITELAAR, Auteur ; Emily SIMONOFF, Auteur ; Declan 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 Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis / Pilar GARCES in Molecular Autism, 13 (2022)
[article]
Titre : Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis Type de document : Texte imprimé et/ou numérique Auteurs : Pilar GARCES, Auteur ; Sarah BAUMEISTER, Auteur ; Luke MASON, Auteur ; Christopher H. CHATHAM, Auteur ; Stefan HOLIGA, Auteur ; Juergen DUKART, Auteur ; Emily J. H. JONES, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Jan K. BUITELAAR, Auteur ; Sarah DURSTON, Auteur ; Bob ORANJE, Auteur ; Antonio M. PERSICO, Auteur ; Christian F. BECKMANN, Auteur ; Thomas BOUGERON, Auteur ; Flavio DELL'ACQUA, Auteur ; Christine ECKER, Auteur ; Carolin MOESSNANG, Auteur ; Tony CHARMAN, Auteur ; Julian TILLMANN, Auteur ; Declan G. M. MURPHY, Auteur ; Mark H. JOHNSON, Auteur ; Eva LOTH, Auteur ; Daniel BRANDEIS, Auteur ; Joerg F. HIPP, Auteur Article en page(s) : 22 p. Langues : Anglais (eng) Mots-clés : Adolescent Adult Autism Spectrum Disorder/diagnosis Autistic Disorder Brain/diagnostic imaging Brain Mapping/methods Child Cross-Sectional Studies Electroencephalography/methods Humans Magnetic Resonance Imaging/methods Reproducibility of Results Autism spectrum disorder Eeg Functional connectivity Power spectrum Resting state Index. décimale : PER Périodiques Résumé : BACKGROUND: Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed. METHODS: We quantified resting state EEG alpha peak metrics, power spectrum (PS, 2-32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n=212 ASD, n=199 neurotypicals [NT], all with IQ?>?75). We performed analyses in source-space using individual head models derived from the participants' MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%-30% split). RESULTS: In the training dataset, we found an interaction between age and group for the reactivity to eye opening (p=.042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52-0.62, specificity 0.59-0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. LIMITATIONS: The statistical power to detect weak effects-of the magnitude of those found in the training dataset-in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset's effects. CONCLUSIONS: This suggests that PS and FC values in ASD and NT have a strong overlap, and that differences between both groups (in both mean and variance) have, at best, a small effect size. Larger studies would be needed to investigate and replicate such potential effects. En ligne : http://dx.doi.org/10.1186/s13229-022-00500-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Molecular Autism > 13 (2022) . - 22 p.[article] Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis [Texte imprimé et/ou numérique] / Pilar GARCES, Auteur ; Sarah BAUMEISTER, Auteur ; Luke MASON, Auteur ; Christopher H. CHATHAM, Auteur ; Stefan HOLIGA, Auteur ; Juergen DUKART, Auteur ; Emily J. H. JONES, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Jan K. BUITELAAR, Auteur ; Sarah DURSTON, Auteur ; Bob ORANJE, Auteur ; Antonio M. PERSICO, Auteur ; Christian F. BECKMANN, Auteur ; Thomas BOUGERON, Auteur ; Flavio DELL'ACQUA, Auteur ; Christine ECKER, Auteur ; Carolin MOESSNANG, Auteur ; Tony CHARMAN, Auteur ; Julian TILLMANN, Auteur ; Declan G. M. MURPHY, Auteur ; Mark H. JOHNSON, Auteur ; Eva LOTH, Auteur ; Daniel BRANDEIS, Auteur ; Joerg F. HIPP, Auteur . - 22 p.
Langues : Anglais (eng)
in Molecular Autism > 13 (2022) . - 22 p.
Mots-clés : Adolescent Adult Autism Spectrum Disorder/diagnosis Autistic Disorder Brain/diagnostic imaging Brain Mapping/methods Child Cross-Sectional Studies Electroencephalography/methods Humans Magnetic Resonance Imaging/methods Reproducibility of Results Autism spectrum disorder Eeg Functional connectivity Power spectrum Resting state Index. décimale : PER Périodiques Résumé : BACKGROUND: Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed. METHODS: We quantified resting state EEG alpha peak metrics, power spectrum (PS, 2-32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n=212 ASD, n=199 neurotypicals [NT], all with IQ?>?75). We performed analyses in source-space using individual head models derived from the participants' MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%-30% split). RESULTS: In the training dataset, we found an interaction between age and group for the reactivity to eye opening (p=.042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52-0.62, specificity 0.59-0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. LIMITATIONS: The statistical power to detect weak effects-of the magnitude of those found in the training dataset-in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset's effects. CONCLUSIONS: This suggests that PS and FC values in ASD and NT have a strong overlap, and that differences between both groups (in both mean and variance) have, at best, a small effect size. Larger studies would be needed to investigate and replicate such potential effects. En ligne : http://dx.doi.org/10.1186/s13229-022-00500-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 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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