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 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 [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)  

Public ISBD [article]  inMolecular Autism > 11 (2020) 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 [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

Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study / Alberto LLERA ; Ting MEI ; Koen HAAK ; Christina ISAKOGLOU ; Dorothea L. FLORIS ; Sarah DURSTON ; Carolin MOESSNANG ; Tobias BANASCHEWSKI ; Simon BARON-COHEN ; Eva LOTH ; Flavio DELL'ACQUA ; Tony CHARMAN ; Declan G. M. MURPHY ; Christine ECKER ; Jan K. BUITELAAR ; Christian F. BECKMANN in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 32 p. Titre : Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study Type de document : Texte imprimé et/ou numérique Auteurs : Alberto LLERA, Auteur ; Ting MEI, Auteur ; Koen HAAK, Auteur ; Christina ISAKOGLOU, Auteur ; Dorothea L. FLORIS, Auteur ; Sarah DURSTON, Auteur ; Carolin MOESSNANG, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Eva LOTH, Auteur ; Flavio DELL'ACQUA, Auteur ; Tony CHARMAN, Auteur ; Declan G. M. MURPHY, Auteur ; Christine ECKER, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur Article en page(s) : 32 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Neuroimaging analyses of brain structure and function in autism have typically been conducted in isolation, missing the sensitivity gains of linking data across modalities. Here we focus on the integration of structural and functional organisational properties of brain regions. We aim to identify novel brain-organisation phenotypes of autism. We utilised multimodal MRI (T1-, diffusion-weighted and resting state functional), behavioural and clinical data from the EU AIMS Longitudinal European Autism Project (LEAP) from autistic (n=206) and non-autistic (n=196) participants. Of these, 97 had data from 2 timepoints resulting in a total scan number of 466. Grey matter density maps, probabilistic tractography connectivity matrices and connectopic maps were extracted from respective MRI modalities and were then integrated with Linked Independent Component Analysis. Linear mixed-effects models were used to evaluate the relationship between components and group while accounting for covariates and non-independence of participants with longitudinal data. Additional models were run to investigate associations with dimensional measures of behaviour. We identified one component that differed significantly between groups (coefficient=0.33, p(adj)=0.02). This was driven (99%) by variance of the right fusiform gyrus connectopic map 2. While there were multiple nominal (uncorrected p<0.05) associations with behavioural measures, none were significant following multiple comparison correction. Our analysis considered the relative contributions of both structural and functional brain phenotypes simultaneously, finding that functional phenotypes drive associations with autism. These findings expanded on previous unimodal studies by revealing the topographic organisation of functional connectivity patterns specific to autism and warrant further investigation. En ligne : http://dx.doi.org/10.1186/s13229-023-00564-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 [article] Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study [Texte imprimé et/ou numérique] / Alberto LLERA, Auteur ; Ting MEI, Auteur ; Koen HAAK, Auteur ; Christina ISAKOGLOU, Auteur ; Dorothea L. FLORIS, Auteur ; Sarah DURSTON, Auteur ; Carolin MOESSNANG, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Eva LOTH, Auteur ; Flavio DELL'ACQUA, Auteur ; Tony CHARMAN, Auteur ; Declan G. M. MURPHY, Auteur ; Christine ECKER, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur . - 32 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 32 p. Index. décimale : PER Périodiques Résumé : Neuroimaging analyses of brain structure and function in autism have typically been conducted in isolation, missing the sensitivity gains of linking data across modalities. Here we focus on the integration of structural and functional organisational properties of brain regions. We aim to identify novel brain-organisation phenotypes of autism. We utilised multimodal MRI (T1-, diffusion-weighted and resting state functional), behavioural and clinical data from the EU AIMS Longitudinal European Autism Project (LEAP) from autistic (n=206) and non-autistic (n=196) participants. Of these, 97 had data from 2 timepoints resulting in a total scan number of 466. Grey matter density maps, probabilistic tractography connectivity matrices and connectopic maps were extracted from respective MRI modalities and were then integrated with Linked Independent Component Analysis. Linear mixed-effects models were used to evaluate the relationship between components and group while accounting for covariates and non-independence of participants with longitudinal data. Additional models were run to investigate associations with dimensional measures of behaviour. We identified one component that differed significantly between groups (coefficient=0.33, p(adj)=0.02). This was driven (99%) by variance of the right fusiform gyrus connectopic map 2. While there were multiple nominal (uncorrected p<0.05) associations with behavioural measures, none were significant following multiple comparison correction. Our analysis considered the relative contributions of both structural and functional brain phenotypes simultaneously, finding that functional phenotypes drive associations with autism. These findings expanded on previous unimodal studies by revealing the topographic organisation of functional connectivity patterns specific to autism and warrant further investigation. En ligne : http://dx.doi.org/10.1186/s13229-023-00564-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513

Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis / Pilar GARCES in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 22 p. 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 [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)  

Public ISBD [article]  inMolecular Autism > 11 (2020) . - 17 p. Titre : Social brain activation during mentalizing in a large autism cohort: the Longitudinal European Autism Project Type de document : Texte imprimé et/ou numérique Auteurs : Carolin MOESSNANG, Auteur ; Sarah BAUMEISTER, Auteur ; Julian TILLMANN, Auteur ; David GOYARD, Auteur ; Tony CHARMAN, Auteur ; Sara AMBROSINO, Auteur ; Simon BARON-COHEN, Auteur ; Christian F. BECKMANN, Auteur ; Sven BÖLTE, Auteur ; Carsten BOURS, Auteur ; Daisy CRAWLEY, Auteur ; Flavio DELL'ACQUA, Auteur ; Sarah DURSTON, Auteur ; Christine ECKER, Auteur ; Vincent FROUIN, Auteur ; Hannah HAYWARD, Auteur ; Rosemary HOLT, Auteur ; Mark H. JOHNSON, Auteur ; Emily JONES, Auteur ; Meng-Chuan LAI, Auteur ; Michael V. LOMBARDO, Auteur ; Luke MASON, Auteur ; Marianne OLDENHINKEL, Auteur ; Antonio PERSICO, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Will SPOOREN, Auteur ; Eva LOTH, Auteur ; Declan G. M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Tobias BANASCHEWSKI, Auteur ; Daniel BRANDEIS, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur Article en page(s) : 17 p. Langues : Anglais (eng) Mots-clés : Animated shapes  Autism  Autism spectrum disorder  Development  Mentalizing  Multi-site  Social brain  Theory of mind  fMRI  Science, Atheneum Partners, Blueprint Partnership, Boehringer Ingelheim, Daimler und  Benz Stiftung, Elsevier, F. Hoffmann-La Roche, ICARE Schizophrenia, K. G. Jebsen  Foundation, L.E.K Consulting, Lundbeck International Foundation (LINF), R. Adamczak,  Roche Pharma, Science Foundation, Sumitomo Dainippon Pharma, Synapsis  Foundation–Alzheimer Research Switzerland, and System Analytics, and has received  lectures fees including travel fees from Boehringer Ingelheim, Fama Public  Relations, Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPS),  Janssen-Cilag, Klinikum Christophsbad, Göppingen, Lilly Deutschland, Luzerner  Psychiatrie, LVR Klinikum Düsseldorf, LWL Psychiatrie Verbund Westfalen-Lippe,  Otsuka Pharmaceuticals, Reunions i Ciencia S. L., Spanish Society of Psychiatry,  Südwestrundfunk Fernsehen, Stern TV, and Vitos Klinikum Kurhessen. WM has received  lecture or travel fees from Pfizer, Grünenthal, University of Zürich, International  Association for the Study on Pain (IASP), and European Federation of IASP Chapters  (EFIC). SB discloses that he has in the last 5?years acted as an author, consultant  or lecturer for Shire, Medice, Roche, Eli Lilly, Prima Psychiatry, GLGroup, System  Analytic, Ability Partner, Kompetento, Expo Medica, Clarion Healthcare, and  Prophase. He receives royalties for textbooks and diagnostic tools from  Huber/Hogrefe, Kohlhammer, and UTB. The other authors declare that they have no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition with key deficits in social functioning. It is widely assumed that the biological underpinnings of social impairment are neurofunctional alterations in the "social brain," a neural circuitry involved in inferring the mental state of a social partner. However, previous evidence comes from small-scale studies and findings have been mixed. We therefore carried out the to-date largest study on neural correlates of mentalizing in ASD. METHODS: As part of the Longitudinal European Autism Project, we performed functional magnetic resonance imaging at six European sites in a large, well-powered, and deeply phenotyped sample of individuals with ASD (N = 205) and typically developing (TD) individuals (N = 189) aged 6 to 30?years. We presented an animated shapes task to assess and comprehensively characterize social brain activation during mentalizing. We tested for effects of age, diagnosis, and their association with symptom measures, including a continuous measure of autistic traits. RESULTS: We observed robust effects of task. Within the ASD sample, autistic traits were moderately associated with functional activation in one of the key regions of the social brain, the dorsomedial prefrontal cortex. However, there were no significant effects of diagnosis on task performance and no effects of age and diagnosis on social brain responses. Besides a lack of mean group differences, our data provide no evidence for meaningful differences in the distribution of brain response measures. Extensive control analyses suggest that the lack of case-control differences was not due to a variety of potential confounders. CONCLUSIONS: Contrary to prior reports, this large-scale study does not support the assumption that altered social brain activation during mentalizing forms a common neural marker of ASD, at least with the paradigm we employed. Yet, autistic individuals show socio-behavioral deficits. Our work therefore highlights the need to interrogate social brain function with other brain measures, such as connectivity and network-based approaches, using other paradigms, or applying complementary analysis approaches to assess individual differences in this heterogeneous condition. En ligne : http://dx.doi.org/10.1186/s13229-020-0317-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427 [article] Social brain activation during mentalizing in a large autism cohort: the Longitudinal European Autism Project [Texte imprimé et/ou numérique] / Carolin MOESSNANG, Auteur ; Sarah BAUMEISTER, Auteur ; Julian TILLMANN, Auteur ; David GOYARD, Auteur ; Tony CHARMAN, Auteur ; Sara AMBROSINO, Auteur ; Simon BARON-COHEN, Auteur ; Christian F. BECKMANN, Auteur ; Sven BÖLTE, Auteur ; Carsten BOURS, Auteur ; Daisy CRAWLEY, Auteur ; Flavio DELL'ACQUA, Auteur ; Sarah DURSTON, Auteur ; Christine ECKER, Auteur ; Vincent FROUIN, Auteur ; Hannah HAYWARD, Auteur ; Rosemary HOLT, Auteur ; Mark H. JOHNSON, Auteur ; Emily JONES, Auteur ; Meng-Chuan LAI, Auteur ; Michael V. LOMBARDO, Auteur ; Luke MASON, Auteur ; Marianne OLDENHINKEL, Auteur ; Antonio PERSICO, Auteur ; Antonia SAN JOSE CACERES, Auteur ; Will SPOOREN, Auteur ; Eva LOTH, Auteur ; Declan G. M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Tobias BANASCHEWSKI, Auteur ; Daniel BRANDEIS, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur . - 17 p. Langues : Anglais (eng) in Molecular Autism > 11 (2020) . - 17 p. Mots-clés : Animated shapes  Autism  Autism spectrum disorder  Development  Mentalizing  Multi-site  Social brain  Theory of mind  fMRI  Science, Atheneum Partners, Blueprint Partnership, Boehringer Ingelheim, Daimler und  Benz Stiftung, Elsevier, F. Hoffmann-La Roche, ICARE Schizophrenia, K. G. Jebsen  Foundation, L.E.K Consulting, Lundbeck International Foundation (LINF), R. Adamczak,  Roche Pharma, Science Foundation, Sumitomo Dainippon Pharma, Synapsis  Foundation–Alzheimer Research Switzerland, and System Analytics, and has received  lectures fees including travel fees from Boehringer Ingelheim, Fama Public  Relations, Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPS),  Janssen-Cilag, Klinikum Christophsbad, Göppingen, Lilly Deutschland, Luzerner  Psychiatrie, LVR Klinikum Düsseldorf, LWL Psychiatrie Verbund Westfalen-Lippe,  Otsuka Pharmaceuticals, Reunions i Ciencia S. L., Spanish Society of Psychiatry,  Südwestrundfunk Fernsehen, Stern TV, and Vitos Klinikum Kurhessen. WM has received  lecture or travel fees from Pfizer, Grünenthal, University of Zürich, International  Association for the Study on Pain (IASP), and European Federation of IASP Chapters  (EFIC). SB discloses that he has in the last 5?years acted as an author, consultant  or lecturer for Shire, Medice, Roche, Eli Lilly, Prima Psychiatry, GLGroup, System  Analytic, Ability Partner, Kompetento, Expo Medica, Clarion Healthcare, and  Prophase. He receives royalties for textbooks and diagnostic tools from  Huber/Hogrefe, Kohlhammer, and UTB. The other authors declare that they have no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition with key deficits in social functioning. It is widely assumed that the biological underpinnings of social impairment are neurofunctional alterations in the "social brain," a neural circuitry involved in inferring the mental state of a social partner. However, previous evidence comes from small-scale studies and findings have been mixed. We therefore carried out the to-date largest study on neural correlates of mentalizing in ASD. METHODS: As part of the Longitudinal European Autism Project, we performed functional magnetic resonance imaging at six European sites in a large, well-powered, and deeply phenotyped sample of individuals with ASD (N = 205) and typically developing (TD) individuals (N = 189) aged 6 to 30?years. We presented an animated shapes task to assess and comprehensively characterize social brain activation during mentalizing. We tested for effects of age, diagnosis, and their association with symptom measures, including a continuous measure of autistic traits. RESULTS: We observed robust effects of task. Within the ASD sample, autistic traits were moderately associated with functional activation in one of the key regions of the social brain, the dorsomedial prefrontal cortex. However, there were no significant effects of diagnosis on task performance and no effects of age and diagnosis on social brain responses. Besides a lack of mean group differences, our data provide no evidence for meaningful differences in the distribution of brain response measures. Extensive control analyses suggest that the lack of case-control differences was not due to a variety of potential confounders. CONCLUSIONS: Contrary to prior reports, this large-scale study does not support the assumption that altered social brain activation during mentalizing forms a common neural marker of ASD, at least with the paradigm we employed. Yet, autistic individuals show socio-behavioral deficits. Our work therefore highlights the need to interrogate social brain function with other brain measures, such as connectivity and network-based approaches, using other paradigms, or applying complementary analysis approaches to assess individual differences in this heterogeneous condition. En ligne : http://dx.doi.org/10.1186/s13229-020-0317-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427

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