18 recherche sur le mot-clé 'Autism Spectrum Disorder/diagnostic imaging'

Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies / Min LI in Autism Research, 15-9 (September 2022)  

Public ISBD [article]  inAutism Research > 15-9 (September 2022) . - p.1585-1602 Titre : Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies Type de document : Texte imprimé et/ou numérique Auteurs : Min LI, Auteur ; Yide WANG, Auteur ; Masaya TACHIBANA, Auteur ; Shafiur RAHMAN, Auteur ; Kuriko KAGITANI-SHIMONO, Auteur Article en page(s) : p.1585-1602 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Child Development Disorders, Pervasive/diagnosis  Diffusion Tensor Imaging  Humans  White Matter/diagnostic imaging  autism spectrum disorder  language networks  meta-analysis  white matter connectivity Index. décimale : PER Périodiques Résumé : Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta-analysis aimed to comprehensively elucidate the abnormality in language-related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta-regression analysis. Thirty-three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta-analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language-associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under-connectivity hypothesis and demonstrate the widespread abnormal microstructure of language-related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere. LAY SUMMARY: This meta-analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language-associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults. En ligne : http://dx.doi.org/10.1002/aur.2789 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483 [article] Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies [Texte imprimé et/ou numérique] / Min LI, Auteur ; Yide WANG, Auteur ; Masaya TACHIBANA, Auteur ; Shafiur RAHMAN, Auteur ; Kuriko KAGITANI-SHIMONO, Auteur . - p.1585-1602. Langues : Anglais (eng) in Autism Research > 15-9 (September 2022) . - p.1585-1602 Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Child Development Disorders, Pervasive/diagnosis  Diffusion Tensor Imaging  Humans  White Matter/diagnostic imaging  autism spectrum disorder  language networks  meta-analysis  white matter connectivity Index. décimale : PER Périodiques Résumé : Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta-analysis aimed to comprehensively elucidate the abnormality in language-related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta-regression analysis. Thirty-three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta-analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language-associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under-connectivity hypothesis and demonstrate the widespread abnormal microstructure of language-related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere. LAY SUMMARY: This meta-analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language-associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults. En ligne : http://dx.doi.org/10.1002/aur.2789 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483

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

Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder / D. KIM in Autism Research, 14-11 (November 2021)  

Public ISBD [article]  inAutism Research > 14-11 (November 2021) . - p.2314-2329 Titre : Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : D. KIM, Auteur ; J. Y. LEE, Auteur ; B. C. JEONG, Auteur ; J. H. AHN, Auteur ; J. I. KIM, Auteur ; E. S. LEE, Auteur ; H. KIM, Auteur ; H. J. LEE, Auteur ; C. E. HAN, Auteur Article en page(s) : p.2314-2329 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Child  Child, Preschool  Humans  Magnetic Resonance Imaging  Neural Pathways/diagnostic imaging  Temporal Lobe/diagnostic imaging  Heschl's gyrus  autism spectrum disorder  brain networks  diffusion tensor imaging  graph theory  overconnectivity  preschool children Index. décimale : PER Périodiques Résumé : Previous studies have reported varying findings regarding the association of brain connectivity in autism spectrum disorder (ASD) with overconnectivity, underconnectivity, or both. Despite the emerging understanding that ASD is a developmental disconnection syndrome, very little is known about structural brain networks in preschool-aged children with low-functioning ASD. We aimed to investigate the structural brain connectivity of low-functioning ASD using diffusion magnetic resonance imaging and graph theory to examine alterations in different brain network topologies and identify any correlations with the clinical severity of ASD in preschool-aged children. Fifty-two preschool-aged children (28 with ASD and 24 with typical development) were included in the analysis. Graph-based network analysis was performed to examine the global and local structural brain networks. Nodal network measures exhibited increased nodal strength in the right Heschl's gyrus, which was positively associated with all autistic clinical symptoms (Autism Diagnostic Observation Schedule and Childhood Autism Rating Scale [CARS]). The nodal strength of the right inferior temporal gyrus showed a moderate correlation with the CARS score. Using network-based statistics, we identified a subnetwork with increased connections encompassing the right Heschl's gyrus and the right inferior temporal gyrus in preschool-aged children with ASD. The asymmetric value in the inferior temporal gyrus exhibited right dominance of nodal strength in children with ASD compared to that in typically developing children. Our findings support the theory of aberrant brain growth and overconnectivity as the underlying mechanism of ASD and provides new insights into potential regional biomarkers that can detect low-functioning ASD in preschool-aged children. LAY SUMMARY: This study supports the theory of aberrant brain growth and overconnectivity as an explanation for ASD. Measuring the right HG and inferior temporal gyrus provides new insights of potential regional biomarkers underpinning ASD in preschool-aged children. En ligne : http://dx.doi.org/10.1002/aur.2609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder [Texte imprimé et/ou numérique] / D. KIM, Auteur ; J. Y. LEE, Auteur ; B. C. JEONG, Auteur ; J. H. AHN, Auteur ; J. I. KIM, Auteur ; E. S. LEE, Auteur ; H. KIM, Auteur ; H. J. LEE, Auteur ; C. E. HAN, Auteur . - p.2314-2329. Langues : Anglais (eng) in Autism Research > 14-11 (November 2021) . - p.2314-2329 Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Child  Child, Preschool  Humans  Magnetic Resonance Imaging  Neural Pathways/diagnostic imaging  Temporal Lobe/diagnostic imaging  Heschl's gyrus  autism spectrum disorder  brain networks  diffusion tensor imaging  graph theory  overconnectivity  preschool children Index. décimale : PER Périodiques Résumé : Previous studies have reported varying findings regarding the association of brain connectivity in autism spectrum disorder (ASD) with overconnectivity, underconnectivity, or both. Despite the emerging understanding that ASD is a developmental disconnection syndrome, very little is known about structural brain networks in preschool-aged children with low-functioning ASD. We aimed to investigate the structural brain connectivity of low-functioning ASD using diffusion magnetic resonance imaging and graph theory to examine alterations in different brain network topologies and identify any correlations with the clinical severity of ASD in preschool-aged children. Fifty-two preschool-aged children (28 with ASD and 24 with typical development) were included in the analysis. Graph-based network analysis was performed to examine the global and local structural brain networks. Nodal network measures exhibited increased nodal strength in the right Heschl's gyrus, which was positively associated with all autistic clinical symptoms (Autism Diagnostic Observation Schedule and Childhood Autism Rating Scale [CARS]). The nodal strength of the right inferior temporal gyrus showed a moderate correlation with the CARS score. Using network-based statistics, we identified a subnetwork with increased connections encompassing the right Heschl's gyrus and the right inferior temporal gyrus in preschool-aged children with ASD. The asymmetric value in the inferior temporal gyrus exhibited right dominance of nodal strength in children with ASD compared to that in typically developing children. Our findings support the theory of aberrant brain growth and overconnectivity as the underlying mechanism of ASD and provides new insights into potential regional biomarkers that can detect low-functioning ASD in preschool-aged children. LAY SUMMARY: This study supports the theory of aberrant brain growth and overconnectivity as an explanation for ASD. Measuring the right HG and inferior temporal gyrus provides new insights of potential regional biomarkers underpinning ASD in preschool-aged children. En ligne : http://dx.doi.org/10.1002/aur.2609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

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 of adverse childhood experiences and precuneus volume with intrusive reexperiencing in autism spectrum disorder / S. KITAMURA in Autism Research, 14-9 (September 2021)  

Public ISBD [article]  inAutism Research > 14-9 (September 2021) . - p.1886-1895 Titre : Association of adverse childhood experiences and precuneus volume with intrusive reexperiencing in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : S. KITAMURA, Auteur ; M. MAKINODAN, Auteur ; K. MATSUOKA, Auteur ; M. TAKAHASHI, Auteur ; H. YOSHIKAWA, Auteur ; R. ISHIDA, Auteur ; N. KISHIMOTO, Auteur ; F. YASUNO, Auteur ; Y. YASUDA, Auteur ; R. HASHIMOTO, Auteur ; T. MIYASAKA, Auteur ; K. KICHIKAWA, Auteur ; T. KISHIMOTO, Auteur Article en page(s) : p.1886-1895 Langues : Anglais (eng) Mots-clés : Adult  Adverse Childhood Experiences  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Gray Matter/diagnostic imaging  Humans  Magnetic Resonance Imaging  Parietal Lobe/diagnostic imaging  autism spectrum disorder  gray matter  parietal lobe  post-traumatic stress disorder Index. décimale : PER Périodiques Résumé : Compared to typically developing (TD) children, people with autism spectrum disorder (ASD) have an increased risk of adverse childhood experiences (ACEs). Exposure to ACEs is associated with adult ASD psychological comorbidities, such as posttraumatic stress disorder (PTSD). Occurrence of intrusive event reexperiencing, characteristic of PTSD, often causes social dysfunction in adults with ASD, but its pathological basis is unclear. This study examined brain regions related to the severity of intrusive reexperiencing and explored whether ACE severity was associated with that of intrusive reexperiencing and/or extracted regional gray matter volume. Forty-six individuals with ASD and 41 TD subjects underwent T1-weighted magnetic resonance imaging and evaluation of ACEs and intrusive reexperiencing. Brain regions related to the severity of intrusive reexperiencing in both groups were identified by voxel-based whole brain analyses. Associations among the severity of intrusive reexperiencing, that of ACEs, and gray matter volume were examined in both groups. The severities of intrusive reexperiencing and ACEs were significantly associated with reduced gray matter volume in the right precuneus in individuals with ASD but not in TD subjects. Although the right precuneus gray matter volume was smaller in individuals with ASD and severe ACEs than in those with mild ACEs or TD subjects, it was similar in the latter two groups. However, ACE-dependent gray matter volume reduction in the right precuneus led to intrusive reexperiencing in individuals with ASD. This suggests that exposure to ACEs is associated with right precuneus gray matter reduction, which is critical for intrusive reexperiencing in adults with ASD. LAY SUMMARY: Individuals with autism spectrum disorder (ASD) are at increased risk of adverse childhood experiences (ACEs) and of subsequent manifestation of intrusive reexperiencing of stressful life events. The present study found that reduced gray matter volume in the right precuneus of the brain was associated with more severe intrusive reexperiencing of ACEs by individuals with ASD. These results suggest that ACEs affect neural development in the precuneus, which is the pathological basis of intrusive event reexperiencing in ASD. En ligne : http://dx.doi.org/10.1002/aur.2558 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Association of adverse childhood experiences and precuneus volume with intrusive reexperiencing in autism spectrum disorder [Texte imprimé et/ou numérique] / S. KITAMURA, Auteur ; M. MAKINODAN, Auteur ; K. MATSUOKA, Auteur ; M. TAKAHASHI, Auteur ; H. YOSHIKAWA, Auteur ; R. ISHIDA, Auteur ; N. KISHIMOTO, Auteur ; F. YASUNO, Auteur ; Y. YASUDA, Auteur ; R. HASHIMOTO, Auteur ; T. MIYASAKA, Auteur ; K. KICHIKAWA, Auteur ; T. KISHIMOTO, Auteur . - p.1886-1895. Langues : Anglais (eng) in Autism Research > 14-9 (September 2021) . - p.1886-1895 Mots-clés : Adult  Adverse Childhood Experiences  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Gray Matter/diagnostic imaging  Humans  Magnetic Resonance Imaging  Parietal Lobe/diagnostic imaging  autism spectrum disorder  gray matter  parietal lobe  post-traumatic stress disorder Index. décimale : PER Périodiques Résumé : Compared to typically developing (TD) children, people with autism spectrum disorder (ASD) have an increased risk of adverse childhood experiences (ACEs). Exposure to ACEs is associated with adult ASD psychological comorbidities, such as posttraumatic stress disorder (PTSD). Occurrence of intrusive event reexperiencing, characteristic of PTSD, often causes social dysfunction in adults with ASD, but its pathological basis is unclear. This study examined brain regions related to the severity of intrusive reexperiencing and explored whether ACE severity was associated with that of intrusive reexperiencing and/or extracted regional gray matter volume. Forty-six individuals with ASD and 41 TD subjects underwent T1-weighted magnetic resonance imaging and evaluation of ACEs and intrusive reexperiencing. Brain regions related to the severity of intrusive reexperiencing in both groups were identified by voxel-based whole brain analyses. Associations among the severity of intrusive reexperiencing, that of ACEs, and gray matter volume were examined in both groups. The severities of intrusive reexperiencing and ACEs were significantly associated with reduced gray matter volume in the right precuneus in individuals with ASD but not in TD subjects. Although the right precuneus gray matter volume was smaller in individuals with ASD and severe ACEs than in those with mild ACEs or TD subjects, it was similar in the latter two groups. However, ACE-dependent gray matter volume reduction in the right precuneus led to intrusive reexperiencing in individuals with ASD. This suggests that exposure to ACEs is associated with right precuneus gray matter reduction, which is critical for intrusive reexperiencing in adults with ASD. LAY SUMMARY: Individuals with autism spectrum disorder (ASD) are at increased risk of adverse childhood experiences (ACEs) and of subsequent manifestation of intrusive reexperiencing of stressful life events. The present study found that reduced gray matter volume in the right precuneus of the brain was associated with more severe intrusive reexperiencing of ACEs by individuals with ASD. These results suggest that ACEs affect neural development in the precuneus, which is the pathological basis of intrusive event reexperiencing in ASD. En ligne : http://dx.doi.org/10.1002/aur.2558 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Decreased homotopic interhemispheric functional connectivity in children with autism spectrum disorder / S. YAO in Autism Research, 14-8 (August 2021)  

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

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Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies / Cristiano COSTA in Journal of Child Psychology and Psychiatry, 62-12 (December 2021)  

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Brain and Language Associations in Autism Spectrum Disorder: A Scoping Review / C. A. CERMAK in Journal of Autism and Developmental Disorders, 52-2 (February 2022)  

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Children with autism spectrum disorder show altered functional connectivity and abnormal maturation trajectories in response to inverted faces / F. MAMASHLI in Autism Research, 14-6 (June 2021)  

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