16 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

Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography / Dalin YANG in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 35p. Titre : Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography Type de document : Texte imprimé et/ou numérique Auteurs : Dalin YANG, Auteur ; Alexandra M. SVOBODA, Auteur ; Tessa G. GEORGE, Auteur ; Patricia K. MANSFIELD, Auteur ; Muriah D. WHEELOCK, Auteur ; Mariel L. SCHROEDER, Auteur ; Sean M. RAFFERTY, Auteur ; Arefeh SHERAFATI, Auteur ; Kalyan TRIPATHY, Auteur ; Tracy BURNS-YOCUM, Auteur ; Elizabeth FORSEN, Auteur ; John R. PRUETT, Auteur ; Natasha M. MARRUS, Auteur ; Joseph P CULVER, Auteur ; John N. CONSTANTINO, Auteur ; Adam T. EGGEBRECHT, Auteur Article en page(s) : 35p. Langues : Anglais (eng) Mots-clés : Humans  Tomography, Optical/methods  Male  Child  Female  Motion Perception/physiology  Brain Mapping/methods  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Magnetic Resonance Imaging/methods  Adolescent  Autism spectrum disorder  Biological motion  High-density diffuse optical tomography  Neuroimaging  Social perception Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits. METHODS: We used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models. RESULTS: We found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits. LIMITATIONS: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism. CONCLUSIONS: This study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits. En ligne : https://dx.doi.org/10.1186/s13229-024-00614-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography [Texte imprimé et/ou numérique] / Dalin YANG, Auteur ; Alexandra M. SVOBODA, Auteur ; Tessa G. GEORGE, Auteur ; Patricia K. MANSFIELD, Auteur ; Muriah D. WHEELOCK, Auteur ; Mariel L. SCHROEDER, Auteur ; Sean M. RAFFERTY, Auteur ; Arefeh SHERAFATI, Auteur ; Kalyan TRIPATHY, Auteur ; Tracy BURNS-YOCUM, Auteur ; Elizabeth FORSEN, Auteur ; John R. PRUETT, Auteur ; Natasha M. MARRUS, Auteur ; Joseph P CULVER, Auteur ; John N. CONSTANTINO, Auteur ; Adam T. EGGEBRECHT, Auteur . - 35p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 35p. Mots-clés : Humans  Tomography, Optical/methods  Male  Child  Female  Motion Perception/physiology  Brain Mapping/methods  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Magnetic Resonance Imaging/methods  Adolescent  Autism spectrum disorder  Biological motion  High-density diffuse optical tomography  Neuroimaging  Social perception Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits. METHODS: We used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models. RESULTS: We found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits. LIMITATIONS: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism. CONCLUSIONS: This study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits. En ligne : https://dx.doi.org/10.1186/s13229-024-00614-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

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)  

Permalink

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)  

Permalink

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)  

Permalink

Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorder / Zixuan GUO in Molecular Autism, 15 (2024)  

Permalink

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

Permalink