13 recherche sur le mot-clé 'Magnetic Resonance Imaging/methods'

The Feasibility of Magnetic Resonance Imaging in a Non-Selective Comprehensive Clinical Trial in Pediatric Autism Spectrum Disorder / Marilena M. DEMAYO in Journal of Autism and Developmental Disorders, 52-3 (March 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.1211-1222 Titre : The Feasibility of Magnetic Resonance Imaging in a Non-Selective Comprehensive Clinical Trial in Pediatric Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Marilena M. DEMAYO, Auteur ; I. POKORSKI, Auteur ; Y. J. C. SONG, Auteur ; R. THAPA, Auteur ; S. PATEL, Auteur ; Zahava AMBARCHI, Auteur ; D. SOLIGO, Auteur ; I. SADELI, Auteur ; E. E. THOMAS, Auteur ; I. B. HICKIE, Auteur ; A. J. GUASTELLA, Auteur Article en page(s) : p.1211-1222 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain  Child  Child, Preschool  Feasibility Studies  Humans  Magnetic Resonance Imaging/methods  Autism spectrum disorders  Biomarkers  Brain function  Brain structure  Clinical trial  Interventions–pharmacologic  Magnetic resonance imaging  Neuroimaging  Pre-school children  School-age children Index. décimale : PER Périodiques Résumé : There is an increasing interest in using magnetic resonance imaging (MRI) as a tool for precision medicine in autism spectrum disorder (ASD). This study investigated the feasibility of MRI scanning in a large comprehensive, inclusive and test heavy clinical trial for children (aged 3-12 years) with ASD, without functioning constraints for participation. Of the 71 participants enrolled who consented to the MRI, 24 participants (38%) successfully completed an MRI scan at baseline along with other assessments. This scanning followed a familiarization procedure at two preceding visits. At post-treatment, 21 participants successfully completed the MRI scan. This study highlights the challenge of completing MRI assessments in ASD populations when conducted as one of a number of tests in a clinical trial. En ligne : http://dx.doi.org/10.1007/s10803-021-05028-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 [article] The Feasibility of Magnetic Resonance Imaging in a Non-Selective Comprehensive Clinical Trial in Pediatric Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Marilena M. DEMAYO, Auteur ; I. POKORSKI, Auteur ; Y. J. C. SONG, Auteur ; R. THAPA, Auteur ; S. PATEL, Auteur ; Zahava AMBARCHI, Auteur ; D. SOLIGO, Auteur ; I. SADELI, Auteur ; E. E. THOMAS, Auteur ; I. B. HICKIE, Auteur ; A. J. GUASTELLA, Auteur . - p.1211-1222. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.1211-1222 Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain  Child  Child, Preschool  Feasibility Studies  Humans  Magnetic Resonance Imaging/methods  Autism spectrum disorders  Biomarkers  Brain function  Brain structure  Clinical trial  Interventions–pharmacologic  Magnetic resonance imaging  Neuroimaging  Pre-school children  School-age children Index. décimale : PER Périodiques Résumé : There is an increasing interest in using magnetic resonance imaging (MRI) as a tool for precision medicine in autism spectrum disorder (ASD). This study investigated the feasibility of MRI scanning in a large comprehensive, inclusive and test heavy clinical trial for children (aged 3-12 years) with ASD, without functioning constraints for participation. Of the 71 participants enrolled who consented to the MRI, 24 participants (38%) successfully completed an MRI scan at baseline along with other assessments. This scanning followed a familiarization procedure at two preceding visits. At post-treatment, 21 participants successfully completed the MRI scan. This study highlights the challenge of completing MRI assessments in ASD populations when conducted as one of a number of tests in a clinical trial. En ligne : http://dx.doi.org/10.1007/s10803-021-05028-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455

Age-related changes in neural responses to sensory stimulation in autism: a cross-sectional study / Kaitlin K. CUMMINGS ; Susan Y. BOOKHEIMER ; Mirella DAPRETTO ; Shulamite A. GREEN in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 38 p. Titre : Age-related changes in neural responses to sensory stimulation in autism: a cross-sectional study Type de document : Texte imprimé et/ou numérique Auteurs : Kaitlin K. CUMMINGS, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Mirella DAPRETTO, Auteur ; Shulamite A. GREEN, Auteur Article en page(s) : 38 p. Langues : Anglais (eng) Mots-clés : Adolescent  Child  Humans  *Autistic Disorder/diagnostic imaging  *Autism Spectrum Disorder  Cross-Sectional Studies  Prefrontal Cortex/diagnostic imaging  Cerebellum  Magnetic Resonance Imaging/methods  Autism spectrum disorder  Development  Neural activity  Sensory over-responsivity  Sensory processing  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Sensory over-responsivity (SOR) is an impairing sensory processing challenge in autism spectrum disorder (ASD) which shows heterogenous developmental trajectories and appears to improve into adulthood in some but not all autistic individuals. However, the neural mechanisms underlying interindividual differences in these trajectories are currently unknown. METHODS: Here, we used functional magnetic resonance imaging (fMRI) to investigate the association between age and neural activity linearly and nonlinearly in response to mildly aversive sensory stimulation as well as how SOR severity moderates this association. Participants included 52 ASD (14F) and 41 (13F) typically developing (TD) youth, aged 8.6-18.0 years. RESULTS: We found that in pre-teens, ASD children showed widespread activation differences in sensorimotor, frontal and cerebellar regions compared to TD children, while there were fewer differences between ASD and TD teens. In TD youth, older age was associated with less activation in the prefrontal cortex. In contrast, in ASD youth, older age was associated with more engagement of sensory integration and emotion regulation regions. In particular, orbitofrontal and medial prefrontal cortices showed a nonlinear relationship with age in ASD, with an especially steep increase in sensory-evoked neural activity during the mid-to-late teen years. There was also an interaction between age and SOR severity in ASD youth such that these age-related trends were more apparent in youth with higher SOR. LIMITATIONS: The cross-sectional design limits causal interpretations of the data. Future longitudinal studies will be instrumental in determining how prefrontal engagement and SOR co-develop across adolescence. CONCLUSIONS: Our results suggest that enhanced recruitment of prefrontal regions may underlie age-related decreases in SOR for a subgroup of ASD youth. En ligne : https://dx.doi.org/10.1186/s13229-023-00571-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Age-related changes in neural responses to sensory stimulation in autism: a cross-sectional study [Texte imprimé et/ou numérique] / Kaitlin K. CUMMINGS, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Mirella DAPRETTO, Auteur ; Shulamite A. GREEN, Auteur . - 38 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 38 p. Mots-clés : Adolescent  Child  Humans  *Autistic Disorder/diagnostic imaging  *Autism Spectrum Disorder  Cross-Sectional Studies  Prefrontal Cortex/diagnostic imaging  Cerebellum  Magnetic Resonance Imaging/methods  Autism spectrum disorder  Development  Neural activity  Sensory over-responsivity  Sensory processing  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Sensory over-responsivity (SOR) is an impairing sensory processing challenge in autism spectrum disorder (ASD) which shows heterogenous developmental trajectories and appears to improve into adulthood in some but not all autistic individuals. However, the neural mechanisms underlying interindividual differences in these trajectories are currently unknown. METHODS: Here, we used functional magnetic resonance imaging (fMRI) to investigate the association between age and neural activity linearly and nonlinearly in response to mildly aversive sensory stimulation as well as how SOR severity moderates this association. Participants included 52 ASD (14F) and 41 (13F) typically developing (TD) youth, aged 8.6-18.0 years. RESULTS: We found that in pre-teens, ASD children showed widespread activation differences in sensorimotor, frontal and cerebellar regions compared to TD children, while there were fewer differences between ASD and TD teens. In TD youth, older age was associated with less activation in the prefrontal cortex. In contrast, in ASD youth, older age was associated with more engagement of sensory integration and emotion regulation regions. In particular, orbitofrontal and medial prefrontal cortices showed a nonlinear relationship with age in ASD, with an especially steep increase in sensory-evoked neural activity during the mid-to-late teen years. There was also an interaction between age and SOR severity in ASD youth such that these age-related trends were more apparent in youth with higher SOR. LIMITATIONS: The cross-sectional design limits causal interpretations of the data. Future longitudinal studies will be instrumental in determining how prefrontal engagement and SOR co-develop across adolescence. CONCLUSIONS: Our results suggest that enhanced recruitment of prefrontal regions may underlie age-related decreases in SOR for a subgroup of ASD youth. En ligne : https://dx.doi.org/10.1186/s13229-023-00571-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder / Xiaonan GUO in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 52 p. Titre : Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur Article en page(s) : 52 p. Langues : Anglais (eng) Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder [Texte imprimé et/ou numérique] / Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur . - 52 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 52 p. Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning / Guanlu LIU in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 9 p. Titre : Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning Type de document : Texte imprimé et/ou numérique Auteurs : Guanlu LIU, Auteur ; Liting SHI, Auteur ; Jianfeng QIU, Auteur ; Weizhao LU, Auteur Article en page(s) : 9 p. Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Female  Humans  Magnetic Resonance Imaging/methods  Male  Neuroimaging  Reproducibility of Results  Supervised Machine Learning  Autism  Magnetic resonance imaging  Neurosubtyping  Semi-supervised machine learning Index. décimale : PER Périodiques Résumé : BACKGROUND: Clinical and etiological varieties remain major obstacles to decompose heterogeneity in autism spectrum disorders (ASD). Recently, neuroimaging raised new hope to identify neurosubtypes of ASD for further understanding the biological mechanisms behind the disorder. METHODS: In this study, brain structural MRI data and clinical measures of 221 male subjects with ASD and 257 healthy controls were selected from 7 independent sites from the Autism Brain Image Data Exchange database (ABIDE). Heterogeneity through discriminative analysis (HYDRA), a recently-proposed semi-supervised clustering method was utilized to divide individuals with ASD into several neurosubtypes by regional volumetric measures of gray matter, white matter, and cerebrospinal fluid. Voxel-wise volume, clinical measures, dynamic resting-state functional magnetic resonance imaging (R-fMRI) measures among different neurosubtypes of ASD were explored. In addition, support vector machine (SVM) model was applied to test whether the neurosubtyping of ASD could improve diagnostic accuracy of ASD. RESULTS: Two neurosubtypes of ASD with different voxel-wise volumetric patterns were revealed. The full-scale intelligence quotient (IQ), verbal IQ, Autism Diagnostic Observation Schedule (ADOS) total scores and ADOS severity scores were significantly different between the two neurosubtypes, the total intracranial volume was correlated with performance IQ in Subtype 1 and was correlated with ADOS communication score and ADOS social score in Subtype 2. Compared with Subtype 2, Subtype 1 showed lower dynamic R-fMRI measures, lower dynamic functional architecture stability, higher mean and lower standard deviation (SD) of concordance among dynamic R-fMRI measures in cerebellum. In addition, classification accuracies between ASD neurosubtypes and healthy controls were significantly improved compared with classification accuracy between entire ASD group and healthy controls. LIMITATIONS: The present study excluded female subjects and left-handed subjects, which limited the ability to investigate the associations between these factors and the heterogeneity of ASD. CONCLUSIONS: The two distinct neuroanatomical subtypes of ASD validated by other data modalities not only adds reliability of the result, but also bridges from brain phenomenology to clinical behavior. The current neurosubtypes of ASD could facilitate understanding the neuropathology of this disorder and could be potentially used to improve clinical decision-making process and optimize treatment. En ligne : http://dx.doi.org/10.1186/s13229-022-00489-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning [Texte imprimé et/ou numérique] / Guanlu LIU, Auteur ; Liting SHI, Auteur ; Jianfeng QIU, Auteur ; Weizhao LU, Auteur . - 9 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 9 p. Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Female  Humans  Magnetic Resonance Imaging/methods  Male  Neuroimaging  Reproducibility of Results  Supervised Machine Learning  Autism  Magnetic resonance imaging  Neurosubtyping  Semi-supervised machine learning Index. décimale : PER Périodiques Résumé : BACKGROUND: Clinical and etiological varieties remain major obstacles to decompose heterogeneity in autism spectrum disorders (ASD). Recently, neuroimaging raised new hope to identify neurosubtypes of ASD for further understanding the biological mechanisms behind the disorder. METHODS: In this study, brain structural MRI data and clinical measures of 221 male subjects with ASD and 257 healthy controls were selected from 7 independent sites from the Autism Brain Image Data Exchange database (ABIDE). Heterogeneity through discriminative analysis (HYDRA), a recently-proposed semi-supervised clustering method was utilized to divide individuals with ASD into several neurosubtypes by regional volumetric measures of gray matter, white matter, and cerebrospinal fluid. Voxel-wise volume, clinical measures, dynamic resting-state functional magnetic resonance imaging (R-fMRI) measures among different neurosubtypes of ASD were explored. In addition, support vector machine (SVM) model was applied to test whether the neurosubtyping of ASD could improve diagnostic accuracy of ASD. RESULTS: Two neurosubtypes of ASD with different voxel-wise volumetric patterns were revealed. The full-scale intelligence quotient (IQ), verbal IQ, Autism Diagnostic Observation Schedule (ADOS) total scores and ADOS severity scores were significantly different between the two neurosubtypes, the total intracranial volume was correlated with performance IQ in Subtype 1 and was correlated with ADOS communication score and ADOS social score in Subtype 2. Compared with Subtype 2, Subtype 1 showed lower dynamic R-fMRI measures, lower dynamic functional architecture stability, higher mean and lower standard deviation (SD) of concordance among dynamic R-fMRI measures in cerebellum. In addition, classification accuracies between ASD neurosubtypes and healthy controls were significantly improved compared with classification accuracy between entire ASD group and healthy controls. LIMITATIONS: The present study excluded female subjects and left-handed subjects, which limited the ability to investigate the associations between these factors and the heterogeneity of ASD. CONCLUSIONS: The two distinct neuroanatomical subtypes of ASD validated by other data modalities not only adds reliability of the result, but also bridges from brain phenomenology to clinical behavior. The current neurosubtypes of ASD could facilitate understanding the neuropathology of this disorder and could be potentially used to improve clinical decision-making process and optimize treatment. En ligne : http://dx.doi.org/10.1186/s13229-022-00489-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Association between body mass index and subcortical volume in pre-adolescent children with autism spectrum disorder: An exploratory study / In-Seong HWANG in Autism Research, 15-12 (December 2022)  

Public ISBD [article]  inAutism Research > 15-12 (December 2022) . - p.2238-2249 Titre : Association between body mass index and subcortical volume in pre-adolescent children with autism spectrum disorder: An exploratory study Type de document : Texte imprimé et/ou numérique Auteurs : In-Seong HWANG, Auteur ; Soon-Beom HONG, Auteur Article en page(s) : p.2238-2249 Langues : Anglais (eng) Mots-clés : Child  Humans  Adolescent  Autism Spectrum Disorder/diagnostic imaging/pathology  Body Mass Index  Pediatric Obesity/complications/diagnostic imaging  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging/pathology  autism spectrum disorder  caudate nucleus  obesity  subcortical volume  ventral diencephalon Index. décimale : PER Périodiques Résumé : Conflicting associations exist between autism spectrum disorder (ASD) and subcortical brain volumes. This study assessed whether obesity might have a confounding influence on associations between ASD and brain subcortical volumes. A comprehensive investigation evaluating the relationship between ASD, obesity, and subcortical structure volumes was conducted. Data obtained included body mass index (BMI) and T1-weighted structural magnetic resonance images for children with and without ASD diagnoses from the Autism Brain Imaging Data Exchange database. Brain subcortical volumes were calculated using vol2Brain software. Hierarchical linear regression analyses were performed to explore the subcortical volumes similarly or differentially associated with BMI in children with or without ASD and examine association and interaction effects regarding ASD and subcortical volume impact on the Social Responsiveness Scale and Vineland Adaptive Behavior Scale (VABS) scores. Bilateral caudate nuclei were smaller in children with ASD than in control participants. Significant interactions were observed between ASD diagnosis and BMI regarding the left caudate, right and left putamen, and right and left ventral diencephalon (DC) volumes (Î2 = -0.384, p = 0.010; Î2 = -0.336, p = 0.030; Î2 = -0.317, p = 0.040; Î2 = 0.322, p = 0.010; Î2 = 0.295, p = 0.021, respectively) and between ASD diagnosis and right and left ventral DC volumes regarding the VABS scores (Î2 = 0.434, p = 0.014; Î2 = 0.495, p = 0.007, respectively). However, each subcortical structure volume included in the ventral DC area could not be measured separately. The results identified subcortical volumes differentially associated with obesity in children with ASD compared with typically developing peers. BMI may need to be considered an important confounder in future research examining brain subcortical volumes within ASD. En ligne : http://dx.doi.org/10.1002/aur.2834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Association between body mass index and subcortical volume in pre-adolescent children with autism spectrum disorder: An exploratory study [Texte imprimé et/ou numérique] / In-Seong HWANG, Auteur ; Soon-Beom HONG, Auteur . - p.2238-2249. Langues : Anglais (eng) in Autism Research > 15-12 (December 2022) . - p.2238-2249 Mots-clés : Child  Humans  Adolescent  Autism Spectrum Disorder/diagnostic imaging/pathology  Body Mass Index  Pediatric Obesity/complications/diagnostic imaging  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging/pathology  autism spectrum disorder  caudate nucleus  obesity  subcortical volume  ventral diencephalon Index. décimale : PER Périodiques Résumé : Conflicting associations exist between autism spectrum disorder (ASD) and subcortical brain volumes. This study assessed whether obesity might have a confounding influence on associations between ASD and brain subcortical volumes. A comprehensive investigation evaluating the relationship between ASD, obesity, and subcortical structure volumes was conducted. Data obtained included body mass index (BMI) and T1-weighted structural magnetic resonance images for children with and without ASD diagnoses from the Autism Brain Imaging Data Exchange database. Brain subcortical volumes were calculated using vol2Brain software. Hierarchical linear regression analyses were performed to explore the subcortical volumes similarly or differentially associated with BMI in children with or without ASD and examine association and interaction effects regarding ASD and subcortical volume impact on the Social Responsiveness Scale and Vineland Adaptive Behavior Scale (VABS) scores. Bilateral caudate nuclei were smaller in children with ASD than in control participants. Significant interactions were observed between ASD diagnosis and BMI regarding the left caudate, right and left putamen, and right and left ventral diencephalon (DC) volumes (Î2 = -0.384, p = 0.010; Î2 = -0.336, p = 0.030; Î2 = -0.317, p = 0.040; Î2 = 0.322, p = 0.010; Î2 = 0.295, p = 0.021, respectively) and between ASD diagnosis and right and left ventral DC volumes regarding the VABS scores (Î2 = 0.434, p = 0.014; Î2 = 0.495, p = 0.007, respectively). However, each subcortical structure volume included in the ventral DC area could not be measured separately. The results identified subcortical volumes differentially associated with obesity in children with ASD compared with typically developing peers. BMI may need to be considered an important confounder in future research examining brain subcortical volumes within ASD. En ligne : http://dx.doi.org/10.1002/aur.2834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

Conduct disorder symptomatology is associated with an altered functional connectome in a large national youth sample / Scott TILLEM in Development and Psychopathology, 34-4 (October 2022)  

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Region-specific associations between gamma-aminobutyric acid A receptor binding and cortical thickness in high-functioning autistic adults / David JAMES in Autism Research, 15-6 (June 2022)  

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Facial expression recognition is linked to clinical and neurofunctional differences in autism / Hannah MEYER-LINDENBERG in Molecular Autism, 13 (2022)  

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Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study / Tiffany C. HO in Journal of Child Psychology and Psychiatry, 63-12 (December 2022)  

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Oxytocin impacts top-down and bottom-up social perception in adolescents with ASD: a MEG study of neural connectivity / Adi KORISKY in Molecular Autism, 13 (2022)  

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