Correction: Understanding the relationship between cerebellar structure and social abilities / Dorothea L. FLORIS ; Pierrick COUPÉ ; Edouard DUCHESNAY ; Angeline MIHAILOV ; Antoine GRIGIS ; Indrit BÈGUE ; Julie VICTOR ; Vincent FROUIN ; Marion LEBOYER ; Josselin HOUENOU ; Charles LAIDI in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 24 p. Titre : Correction: Understanding the relationship between cerebellar structure and social abilities Type de document : Texte imprimé et/ou numérique Auteurs : Dorothea L. FLORIS, Auteur ; Pierrick COUPÉ, Auteur ; Edouard DUCHESNAY, Auteur ; Angeline MIHAILOV, Auteur ; Antoine GRIGIS, Auteur ; Indrit BÈGUE, Auteur ; Julie VICTOR, Auteur ; Vincent FROUIN, Auteur ; Marion LEBOYER, Auteur ; Josselin HOUENOU, Auteur ; Charles LAIDI, Auteur Article en page(s) : 24 p. Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1186/s13229-023-00553-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 [article] Correction: Understanding the relationship between cerebellar structure and social abilities [Texte imprimé et/ou numérique] / Dorothea L. FLORIS, Auteur ; Pierrick COUPÉ, Auteur ; Edouard DUCHESNAY, Auteur ; Angeline MIHAILOV, Auteur ; Antoine GRIGIS, Auteur ; Indrit BÈGUE, Auteur ; Julie VICTOR, Auteur ; Vincent FROUIN, Auteur ; Marion LEBOYER, Auteur ; Josselin HOUENOU, Auteur ; Charles LAIDI, Auteur . - 24 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 24 p. Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1186/s13229-023-00553-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513

Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort / Ting MEI in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 3p. Titre : Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort Type de document : Texte imprimé et/ou numérique Auteurs : Ting MEI, Auteur ; Alberto LLERA, Auteur ; Natalie J. FORDE, Auteur ; Daan VAN ROOIJ, Auteur ; Dorothea L. FLORIS, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur Article en page(s) : 3p. Langues : Anglais (eng) Mots-clés : Humans  Gray Matter/diagnostic imaging  Autistic Disorder/diagnostic imaging  Autism Spectrum Disorder/diagnostic imaging  Retrospective Studies  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autism  Gray matter volume covariation  Replication  advisory board member of, and a speaker for Janssen 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. 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: Autism spectrum disorder (henceforth autism) is a complex neurodevelopmental condition associated with differences in gray matter (GM) volume covariations, as reported in our previous study of the Longitudinal European Autism Project (LEAP) data. To make progress on the identification of potential neural markers and to validate the robustness of our previous findings, we aimed to replicate our results using data from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) autism working group. METHODS: We studied 781 autistic and 927 non-autistic individuals (6-30 years, IQ???50), across 37 sites. Voxel-based morphometry was used to quantify GM volume as before. Subsequently, we used spatial maps of the two autism-related independent components (ICs) previously identified in the LEAP sample as templates for regression analyses to separately estimate the ENIGMA-participant loadings to each of these two ICs. Between-group differences in participants' loadings on each component were examined, and we additionally investigated the relation between participant loadings and autistic behaviors within the autism group. RESULTS: The two components of interest, previously identified in the LEAP dataset, showed significant between-group differences upon regressions into the ENIGMA cohort. The associated brain patterns were consistent with those found in the initial identification study. The first IC was primarily associated with increased volumes of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and caudate in the autism group relative to the control group (? = 0.129, p = 0.013). The second IC was related to increased volumes of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to non-autistic individuals (? = 0.116, p = 0.024). However, when accounting for the site-by-group interaction effect, no significant main effect of the group can be identified (p > 0.590). We did not find significant univariate association between the brain measures and behavior in autism (p > 0.085). LIMITATIONS: The distributions of age, IQ, and sex between LEAP and ENIGMA are statistically different from each other. Owing to limited access to the behavioral data of the autism group, we were unable to further our understanding of the neural basis of behavioral dimensions of the sample. CONCLUSIONS: The current study is unable to fully replicate the autism-related brain patterns from LEAP in the ENIGMA cohort. The diverse group effects across ENIGMA sites demonstrate the challenges of generalizing the average findings of the GM covariation patterns to a large-scale cohort integrated retrospectively from multiple studies. Further analyses need to be conducted to gain additional insights into the generalizability of these two GM covariation patterns. En ligne : https://dx.doi.org/10.1186/s13229-024-00583-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 [article] Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort [Texte imprimé et/ou numérique] / Ting MEI, Auteur ; Alberto LLERA, Auteur ; Natalie J. FORDE, Auteur ; Daan VAN ROOIJ, Auteur ; Dorothea L. FLORIS, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur . - 3p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 3p. Mots-clés : Humans  Gray Matter/diagnostic imaging  Autistic Disorder/diagnostic imaging  Autism Spectrum Disorder/diagnostic imaging  Retrospective Studies  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autism  Gray matter volume covariation  Replication  advisory board member of, and a speaker for Janssen 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. 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: Autism spectrum disorder (henceforth autism) is a complex neurodevelopmental condition associated with differences in gray matter (GM) volume covariations, as reported in our previous study of the Longitudinal European Autism Project (LEAP) data. To make progress on the identification of potential neural markers and to validate the robustness of our previous findings, we aimed to replicate our results using data from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) autism working group. METHODS: We studied 781 autistic and 927 non-autistic individuals (6-30 years, IQ???50), across 37 sites. Voxel-based morphometry was used to quantify GM volume as before. Subsequently, we used spatial maps of the two autism-related independent components (ICs) previously identified in the LEAP sample as templates for regression analyses to separately estimate the ENIGMA-participant loadings to each of these two ICs. Between-group differences in participants' loadings on each component were examined, and we additionally investigated the relation between participant loadings and autistic behaviors within the autism group. RESULTS: The two components of interest, previously identified in the LEAP dataset, showed significant between-group differences upon regressions into the ENIGMA cohort. The associated brain patterns were consistent with those found in the initial identification study. The first IC was primarily associated with increased volumes of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and caudate in the autism group relative to the control group (? = 0.129, p = 0.013). The second IC was related to increased volumes of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to non-autistic individuals (? = 0.116, p = 0.024). However, when accounting for the site-by-group interaction effect, no significant main effect of the group can be identified (p > 0.590). We did not find significant univariate association between the brain measures and behavior in autism (p > 0.085). LIMITATIONS: The distributions of age, IQ, and sex between LEAP and ENIGMA are statistically different from each other. Owing to limited access to the behavioral data of the autism group, we were unable to further our understanding of the neural basis of behavioral dimensions of the sample. CONCLUSIONS: The current study is unable to fully replicate the autism-related brain patterns from LEAP in the ENIGMA cohort. The diverse group effects across ENIGMA sites demonstrate the challenges of generalizing the average findings of the GM covariation patterns to a large-scale cohort integrated retrospectively from multiple studies. Further analyses need to be conducted to gain additional insights into the generalizability of these two GM covariation patterns. En ligne : https://dx.doi.org/10.1186/s13229-024-00583-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537

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

Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project / Tristan LOODEN in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 53 p. Titre : Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project Type de document : Texte imprimé et/ou numérique Auteurs : Tristan LOODEN, Auteur ; Dorothea L. FLORIS, Auteur ; Alberto LLERA, Auteur ; Roselyne J. CHAUVIN, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Declan MURPHY, Auteur ; Andre F. MARQUAND, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur ; AIMS-2-TRIALS GROUP, Auteur Article en page(s) : 53 p. Langues : Anglais (eng) Mots-clés : Autism  Canonical correlation analysis  Functional connectivity  Heterogeneity  Normative modeling  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks. METHODS: All analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n=282) and typically developing (TD) controls (n=221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data. RESULTS: Deviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p< 0.001). The similarity across individuals of the deviation pattern was significantly increased in autistic relative to TD individuals (p< 0.002). The CCA identified significant and robust brain-behavior covariation between functional connectivity atypicality and autism-related behavioral features. CONCLUSIONS: Individuals with autism engage with tasks in a globally atypical way, but the particular spatial pattern of this atypicality is nevertheless similar across tasks. Atypicalities in the tasks originate mostly from prefrontal cortex and default mode network regions, but also speech and auditory networks. We show how sophisticated modeling methods such as task potency and normative modeling can be used toward unravelling complex heterogeneous conditions like autism. En ligne : http://dx.doi.org/10.1186/s13229-022-00529-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project [Texte imprimé et/ou numérique] / Tristan LOODEN, Auteur ; Dorothea L. FLORIS, Auteur ; Alberto LLERA, Auteur ; Roselyne J. CHAUVIN, Auteur ; Tony CHARMAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Declan MURPHY, Auteur ; Andre F. MARQUAND, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur ; AIMS-2-TRIALS GROUP, Auteur . - 53 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 53 p. Mots-clés : Autism  Canonical correlation analysis  Functional connectivity  Heterogeneity  Normative modeling  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks. METHODS: All analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n=282) and typically developing (TD) controls (n=221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data. RESULTS: Deviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p< 0.001). The similarity across individuals of the deviation pattern was significantly increased in autistic relative to TD individuals (p< 0.002). The CCA identified significant and robust brain-behavior covariation between functional connectivity atypicality and autism-related behavioral features. CONCLUSIONS: Individuals with autism engage with tasks in a globally atypical way, but the particular spatial pattern of this atypicality is nevertheless similar across tasks. Atypicalities in the tasks originate mostly from prefrontal cortex and default mode network regions, but also speech and auditory networks. We show how sophisticated modeling methods such as task potency and normative modeling can be used toward unravelling complex heterogeneous conditions like autism. En ligne : http://dx.doi.org/10.1186/s13229-022-00529-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Psychological Correlates of Handedness and Corpus Callosum Asymmetry in Autism: The left Hemisphere Dysfunction Theory Revisited / Dorothea L. FLORIS in Journal of Autism and Developmental Disorders, 43-8 (August 2013)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 43-8 (August 2013) . - p.1758-1772 Titre : Psychological Correlates of Handedness and Corpus Callosum Asymmetry in Autism: The left Hemisphere Dysfunction Theory Revisited Type de document : Texte imprimé et/ou numérique Auteurs : Dorothea L. FLORIS, Auteur ; Lindsay R. CHURA, Auteur ; Rosemary J. HOLT, Auteur ; John SUCKLING, Auteur ; Edward T. BULLMORE, Auteur ; Simon BARON-COHEN, Auteur ; Michael D. SPENCER, Auteur Article en page(s) : p.1758-1772 Langues : Anglais (eng) Mots-clés : Autism  Corpus callosum  Handedness  Asymmetry  Lateralization  Broader autism phenotype Index. décimale : PER Périodiques Résumé : Rightward cerebral lateralization has been suggested to be involved in the neuropathology of autism spectrum conditions. We investigated functional and neuroanatomical asymmetry, in terms of handedness and corpus callosum measurements in male adolescents with autism, their unaffected siblings and controls, and their associations with executive dysfunction and symptom severity. Adolescents with autism did not differ from controls in functional asymmetry, but neuroanatomically showed the expected pattern of stronger rightward lateralization in the posterior and anterior midbody based on their hand-preference. Measures of symptom severity were related to rightward asymmetry in three subregions (splenium, posterior midbody and rostral body). We found the opposite pattern for the isthmus and rostrum with better cognitive and less severe clinical scores associated with rightward lateralization. En ligne : http://dx.doi.org/10.1007/s10803-012-1720-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=205 [article] Psychological Correlates of Handedness and Corpus Callosum Asymmetry in Autism: The left Hemisphere Dysfunction Theory Revisited [Texte imprimé et/ou numérique] / Dorothea L. FLORIS, Auteur ; Lindsay R. CHURA, Auteur ; Rosemary J. HOLT, Auteur ; John SUCKLING, Auteur ; Edward T. BULLMORE, Auteur ; Simon BARON-COHEN, Auteur ; Michael D. SPENCER, Auteur . - p.1758-1772. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 43-8 (August 2013) . - p.1758-1772 Mots-clés : Autism  Corpus callosum  Handedness  Asymmetry  Lateralization  Broader autism phenotype Index. décimale : PER Périodiques Résumé : Rightward cerebral lateralization has been suggested to be involved in the neuropathology of autism spectrum conditions. We investigated functional and neuroanatomical asymmetry, in terms of handedness and corpus callosum measurements in male adolescents with autism, their unaffected siblings and controls, and their associations with executive dysfunction and symptom severity. Adolescents with autism did not differ from controls in functional asymmetry, but neuroanatomically showed the expected pattern of stronger rightward lateralization in the posterior and anterior midbody based on their hand-preference. Measures of symptom severity were related to rightward asymmetry in three subregions (splenium, posterior midbody and rostral body). We found the opposite pattern for the isthmus and rostrum with better cognitive and less severe clinical scores associated with rightward lateralization. En ligne : http://dx.doi.org/10.1007/s10803-012-1720-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=205

The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings / Caroline GURR ; Johanna LEYHAUSEN ; Hanna SEELEMEYER ; Anke BLETSCH ; Tim SCHAEFER ; Charlotte M. PRETZSCH ; Bethany OAKLEY ; Eva LOTH ; Dorothea L. FLORIS ; Jan K. BUITELAAR ; Christian F. BECKMANN ; Tobias BANASCHEWSKI ; Tony CHARMAN ; Emily J. H. JONES ; Julian TILLMANN ; Chris H CHATHAM ; Thomas BOURGERON ; EU-AIMS LEAP Group ; Declan G. M. MURPHY ; Christine ECKER in Molecular Autism, 14 (2023)  

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Understanding the relationship between cerebellar structure and social abilities / Dorothea L. FLORIS ; Pierrick COUPÉ ; Edouard DUCHESNAY ; Angeline MIHAILOV ; Antoine GRIGIS ; Indrit BÈGUE ; Julie VICTOR ; Vincent FROUIN ; Marion LEBOYER ; Josselin HOUENOU ; Charles LAIDI in Molecular Autism, 14 (2023)  

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