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

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 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] / 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

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