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

Altered subcortical and cortical brain morphology in adult women with 47,XXX: a 7-Tesla magnetic resonance imaging study / Chaira SERRARENS in Journal of Neurodevelopmental Disorders, 14 (2022)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 14 (2022) Titre : Altered subcortical and cortical brain morphology in adult women with 47,XXX: a 7-Tesla magnetic resonance imaging study Type de document : texte imprimé Auteurs : Chaira SERRARENS, Auteur ; Maarten OTTER, Auteur ; Bea C.M. CAMPFORTS, Auteur ; Constance T.R.M. STUMPEL, Auteur ; Henk JANSMA, Auteur ; Therese A.M.J. VAN AMELSVOORT, Auteur ; Claudia VINGERHOETS, Auteur Langues : Anglais (eng) Mots-clés : Adult  Brain/pathology  Chromosomes, Human, X  Female  Humans  Magnetic Resonance Imaging/methods  Sex Chromosome Aberrations  Sex Chromosome Disorders of Sex Development/pathology  Trisomy  47,xxx  7t  Adults  Cortical folding  Cortical surface area  Cortical thickness  Social cognition  Social functioning  Subcortical volume Index. décimale : PER Périodiques Résumé : BACKGROUND: Triple X syndrome (47,XXX) is a relatively common sex chromosomal aneuploidy characterized by the presence of a supernumerary X chromosome in females and has been associated with a variable cognitive, behavioural and psychiatric phenotype. 47,XXX may serve as a suitable model for studying the effect of genetic architecture on brain morphology. Previous studies have shown alterations in brain structure in 47,XXX particularly in childhood and adolescence. In this study, we examined subcortical and cortical brain morphology in adult women with 47,XXX using ultra-high field 7T MRI. Given previous evidence of impaired social functioning and emotion recognition in adults with 47,XXX, we also investigated the relationship of these functions with brain morphology. METHODS: Twenty-one adult women with 47,XXX and 22 age- and sex-matched healthy controls were included. Structural T1-weighted images were acquired using a 7-Tesla magnetic resonance scanner. Measures of subcortical brain volumes, cortical surface area and thickness, and cortical folding were obtained and compared between the groups using general linear models. Additionally, we examined potential relationships between brain outcome measures and social functioning and social cognition in 47,XXX using correlation analyses. RESULTS: Adults with 47,XXX showed lower volumes of the thalamus, caudate, putamen, hippocampus, nucleus accumbens and pallidum, and larger lateral ventricle volumes. Lower surface area was found in the superior frontal gyrus and superior temporal gyrus in 47,XXX participants compared to healthy controls. Altered cortical thickness and cortical folding were not present in 47,XXX. Cortical thickness was associated with social cognition in 47,XXX. CONCLUSIONS: Results suggest that a supernumerary X chromosome in females affects subcortical and lateral ventricle volumes, and cortical surface area in adulthood. 47,XXX may serve as a suitable model for studying genetic influences on structural brain morphology across developmental stages in order to understand neurobiological mechanisms underlying cognitive and behavioural impairments. En ligne : https://dx.doi.org/10.1186/s11689-022-09425-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574 [article] Altered subcortical and cortical brain morphology in adult women with 47,XXX: a 7-Tesla magnetic resonance imaging study [texte imprimé] / Chaira SERRARENS, Auteur ; Maarten OTTER, Auteur ; Bea C.M. CAMPFORTS, Auteur ; Constance T.R.M. STUMPEL, Auteur ; Henk JANSMA, Auteur ; Therese A.M.J. VAN AMELSVOORT, Auteur ; Claudia VINGERHOETS, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 14 (2022) Mots-clés : Adult  Brain/pathology  Chromosomes, Human, X  Female  Humans  Magnetic Resonance Imaging/methods  Sex Chromosome Aberrations  Sex Chromosome Disorders of Sex Development/pathology  Trisomy  47,xxx  7t  Adults  Cortical folding  Cortical surface area  Cortical thickness  Social cognition  Social functioning  Subcortical volume Index. décimale : PER Périodiques Résumé : BACKGROUND: Triple X syndrome (47,XXX) is a relatively common sex chromosomal aneuploidy characterized by the presence of a supernumerary X chromosome in females and has been associated with a variable cognitive, behavioural and psychiatric phenotype. 47,XXX may serve as a suitable model for studying the effect of genetic architecture on brain morphology. Previous studies have shown alterations in brain structure in 47,XXX particularly in childhood and adolescence. In this study, we examined subcortical and cortical brain morphology in adult women with 47,XXX using ultra-high field 7T MRI. Given previous evidence of impaired social functioning and emotion recognition in adults with 47,XXX, we also investigated the relationship of these functions with brain morphology. METHODS: Twenty-one adult women with 47,XXX and 22 age- and sex-matched healthy controls were included. Structural T1-weighted images were acquired using a 7-Tesla magnetic resonance scanner. Measures of subcortical brain volumes, cortical surface area and thickness, and cortical folding were obtained and compared between the groups using general linear models. Additionally, we examined potential relationships between brain outcome measures and social functioning and social cognition in 47,XXX using correlation analyses. RESULTS: Adults with 47,XXX showed lower volumes of the thalamus, caudate, putamen, hippocampus, nucleus accumbens and pallidum, and larger lateral ventricle volumes. Lower surface area was found in the superior frontal gyrus and superior temporal gyrus in 47,XXX participants compared to healthy controls. Altered cortical thickness and cortical folding were not present in 47,XXX. Cortical thickness was associated with social cognition in 47,XXX. CONCLUSIONS: Results suggest that a supernumerary X chromosome in females affects subcortical and lateral ventricle volumes, and cortical surface area in adulthood. 47,XXX may serve as a suitable model for studying genetic influences on structural brain morphology across developmental stages in order to understand neurobiological mechanisms underlying cognitive and behavioural impairments. En ligne : https://dx.doi.org/10.1186/s11689-022-09425-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574

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 Auteurs : Marilena M. DEMAYO, Auteur ; Izabella POKORSKI, Auteur ; Yun Ju C. SONG, Auteur ; Rinku THAPA, Auteur ; Shrujna PATEL, Auteur ; Zahava AMBARCHI, Auteur ; Domenic SOLIGO, Auteur ; Indra SADELI, Auteur ; Emma E. THOMAS, Auteur ; Ian B. HICKIE, Auteur ; Adam 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] / Marilena M. DEMAYO, Auteur ; Izabella POKORSKI, Auteur ; Yun Ju C. SONG, Auteur ; Rinku THAPA, Auteur ; Shrujna PATEL, Auteur ; Zahava AMBARCHI, Auteur ; Domenic SOLIGO, Auteur ; Indra SADELI, Auteur ; Emma E. THOMAS, Auteur ; Ian B. HICKIE, Auteur ; Adam 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 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] / 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 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] / 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 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] / 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)  

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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)  

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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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Subgrouping autism and ADHD based on structural MRI population modelling centiles / Clara PECCI-TERROBA in Molecular Autism, 16 (2025)  

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