Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study / Annika RAUSCH in Molecular Autism, 7 (2016)  

Public ISBD [article]  inMolecular Autism > 7 (2016) . - 13p. Titre : Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study Type de document : texte imprimé Auteurs : Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Koen V. HAAK, Auteur ; Maarten MENNES, Auteur ; Erno J. HERMANS, Auteur ; Erik VAN OORT, Auteur ; Guido VAN WINGEN, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur Article en page(s) : 13p. Langues : Anglais (eng) Mots-clés : Adolescent  Afferent Pathways/pathology/physiopathology  Amygdala/pathology/physiopathology  Autism Spectrum Disorder/pathology/physiopathology  Basolateral Nuclear Complex/pathology/physiopathology  Central Amygdaloid Nucleus/pathology/physiopathology  Connectome  Efferent Pathways/pathology/physiopathology  Emotions  Female  Humans  Image Processing, Computer-Assisted  Magnetic Resonance Imaging  Male  Models, Neurological  Models, Psychological  Neocortex/pathology/physiopathology  Nerve Net/pathology/physiopathology  Signal-To-Noise Ratio  Social Perception  Surveys and Questionnaires  Temporal Lobe/pathology/physiopathology  Young Adult  Amygdala  Autism spectrum disorder  Centromedial  Connectivity  Input-output  Laterobasal  Nuclei  Superficial Index. décimale : PER Périodiques Résumé : BACKGROUND: Amygdala dysfunction is hypothesized to underlie the social deficits observed in autism spectrum disorders (ASD). However, the neurobiological basis of this hypothesis is underspecified because it is unknown whether ASD relates to abnormalities of the amygdaloid input or output nuclei. Here, we investigated the functional connectivity of the amygdaloid social-perceptual input nuclei and emotion-regulation output nuclei in ASD versus controls. METHODS: We collected resting state functional magnetic resonance imaging (fMRI) data, tailored to provide optimal sensitivity in the amygdala as well as the neocortex, in 20 adolescents and young adults with ASD and 25 matched controls. We performed a regular correlation analysis between the entire amygdala (EA) and the whole brain and used a partial correlation analysis to investigate whole-brain functional connectivity uniquely related to each of the amygdaloid subregions. RESULTS: Between-group comparison of regular EA correlations showed significantly reduced connectivity in visuospatial and superior parietal areas in ASD compared to controls. Partial correlation analysis revealed that this effect was driven by the left superficial and right laterobasal input subregions, but not the centromedial output nuclei. CONCLUSIONS: These results indicate reduced connectivity of specifically the amygdaloid sensory input channels in ASD, suggesting that abnormal amygdalo-cortical connectivity can be traced down to the socio-perceptual pathways. En ligne : http://dx.doi.org/10.1186/s13229-015-0060-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 [article] Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study [texte imprimé] / Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Koen V. HAAK, Auteur ; Maarten MENNES, Auteur ; Erno J. HERMANS, Auteur ; Erik VAN OORT, Auteur ; Guido VAN WINGEN, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur . - 13p. Langues : Anglais (eng) in Molecular Autism > 7 (2016) . - 13p. Mots-clés : Adolescent  Afferent Pathways/pathology/physiopathology  Amygdala/pathology/physiopathology  Autism Spectrum Disorder/pathology/physiopathology  Basolateral Nuclear Complex/pathology/physiopathology  Central Amygdaloid Nucleus/pathology/physiopathology  Connectome  Efferent Pathways/pathology/physiopathology  Emotions  Female  Humans  Image Processing, Computer-Assisted  Magnetic Resonance Imaging  Male  Models, Neurological  Models, Psychological  Neocortex/pathology/physiopathology  Nerve Net/pathology/physiopathology  Signal-To-Noise Ratio  Social Perception  Surveys and Questionnaires  Temporal Lobe/pathology/physiopathology  Young Adult  Amygdala  Autism spectrum disorder  Centromedial  Connectivity  Input-output  Laterobasal  Nuclei  Superficial Index. décimale : PER Périodiques Résumé : BACKGROUND: Amygdala dysfunction is hypothesized to underlie the social deficits observed in autism spectrum disorders (ASD). However, the neurobiological basis of this hypothesis is underspecified because it is unknown whether ASD relates to abnormalities of the amygdaloid input or output nuclei. Here, we investigated the functional connectivity of the amygdaloid social-perceptual input nuclei and emotion-regulation output nuclei in ASD versus controls. METHODS: We collected resting state functional magnetic resonance imaging (fMRI) data, tailored to provide optimal sensitivity in the amygdala as well as the neocortex, in 20 adolescents and young adults with ASD and 25 matched controls. We performed a regular correlation analysis between the entire amygdala (EA) and the whole brain and used a partial correlation analysis to investigate whole-brain functional connectivity uniquely related to each of the amygdaloid subregions. RESULTS: Between-group comparison of regular EA correlations showed significantly reduced connectivity in visuospatial and superior parietal areas in ASD compared to controls. Partial correlation analysis revealed that this effect was driven by the left superficial and right laterobasal input subregions, but not the centromedial output nuclei. CONCLUSIONS: These results indicate reduced connectivity of specifically the amygdaloid sensory input channels in ASD, suggesting that abnormal amygdalo-cortical connectivity can be traced down to the socio-perceptual pathways. En ligne : http://dx.doi.org/10.1186/s13229-015-0060-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329

Connectivity-Based Parcellation of the Amygdala Predicts Social Skills in Adolescents with Autism Spectrum Disorder / Annika RAUSCH in Journal of Autism and Developmental Disorders, 48-2 (February 2018)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 48-2 (February 2018) . - p.572-582 Titre : Connectivity-Based Parcellation of the Amygdala Predicts Social Skills in Adolescents with Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur ; Koen V. HAAK, Auteur Article en page(s) : p.572-582 Langues : Anglais (eng) Mots-clés : Amygdala  Autism spectrum disorder  Functional connectivity  Parcellation  Prefrontal Index. décimale : PER Périodiques Résumé : Amygdala dysfunction plays a role in the social impairments in autism spectrum disorders (ASD), but it is unclear which of its subregions are abnormal in ASD. This study compared the volume and functional connectivity (FC) strength of three FC-defined amygdala subregions between ASD and controls, and assessed their relation to social skills in ASD. A subregion associated with the social perception network was enlarged in ASD (F1 = 7.842, p = .008) and its volume correlated significantly with symptom severity (social skills: r = .548, p = .009). Posthoc analysis revealed that the enlargement was driven by the vmPFC amygdala network. These findings refine our understanding of abnormal amygdala connectivity in ASD and may inform future strategies for therapeutic interventions targeting the amygdalofrontal pathway. En ligne : https://doi.org/10.1007/s10803-017-3370-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=338 [article] Connectivity-Based Parcellation of the Amygdala Predicts Social Skills in Adolescents with Autism Spectrum Disorder [texte imprimé] / Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur ; Koen V. HAAK, Auteur . - p.572-582. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 48-2 (February 2018) . - p.572-582 Mots-clés : Amygdala  Autism spectrum disorder  Functional connectivity  Parcellation  Prefrontal Index. décimale : PER Périodiques Résumé : Amygdala dysfunction plays a role in the social impairments in autism spectrum disorders (ASD), but it is unclear which of its subregions are abnormal in ASD. This study compared the volume and functional connectivity (FC) strength of three FC-defined amygdala subregions between ASD and controls, and assessed their relation to social skills in ASD. A subregion associated with the social perception network was enlarged in ASD (F1 = 7.842, p = .008) and its volume correlated significantly with symptom severity (social skills: r = .548, p = .009). Posthoc analysis revealed that the enlargement was driven by the vmPFC amygdala network. These findings refine our understanding of abnormal amygdala connectivity in ASD and may inform future strategies for therapeutic interventions targeting the amygdalofrontal pathway. En ligne : https://doi.org/10.1007/s10803-017-3370-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=338

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 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] / 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

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