Altered global modular organization of intrinsic functional connectivity in autism arises from atypical node-level processing / Lucina Q. UDDIN ; Dipanjan ROY in Autism Research, 16-1 (January 2023)  

Public ISBD [article]  inAutism Research > 16-1 (January 2023) . - p.66-83 Titre : Altered global modular organization of intrinsic functional connectivity in autism arises from atypical node-level processing Type de document : Texte imprimé et/ou numérique Auteurs : Lucina Q. UDDIN, Auteur ; Dipanjan ROY, Auteur Article en page(s) : p.66-83 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by restricted interests and repetitive behaviors as well as social-communication deficits. These traits are associated with atypicality of functional brain networks. Modular organization in the brain plays a crucial role in network stability and adaptability for neurodevelopment. Previous neuroimaging research demonstrates discrepancies in studies of functional brain modular organization in ASD. These discrepancies result from the examination of mixed age groups. Furthermore, recent findings suggest that while much attention has been given to deriving atlases and measuring the connections between nodes, within node information may also be crucial in determining altered modular organization in ASD compared with typical development (TD). However, altered modular organization originating from systematic nodal changes are yet to be explored in younger children with ASD. Here, we used graph-theoretical measures to fill this knowledge gap. To this end, we utilized multicenter resting-state fMRI data collected from 5 to 10-year-old children ”34 ASD and 40 TD obtained from the Autism Brain Image Data Exchange (ABIDE) I and II. We demonstrate that alterations in topological roles and modular cohesiveness are the two key properties of brain regions anchored in default mode, sensorimotor, and salience networks, and primarily relate to social and sensory deficits in children with ASD. These results demonstrate that atypical global network organization in children with ASD arises from nodal role changes, and contribute to the growing body of literature suggesting that there is interesting information within nodes providing critical markers of functional brain networks in autistic children. En ligne : https://doi.org/10.1002/aur.2840 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492 [article] Altered global modular organization of intrinsic functional connectivity in autism arises from atypical node-level processing [Texte imprimé et/ou numérique] / Lucina Q. UDDIN, Auteur ; Dipanjan ROY, Auteur . - p.66-83. Langues : Anglais (eng) in Autism Research > 16-1 (January 2023) . - p.66-83 Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by restricted interests and repetitive behaviors as well as social-communication deficits. These traits are associated with atypicality of functional brain networks. Modular organization in the brain plays a crucial role in network stability and adaptability for neurodevelopment. Previous neuroimaging research demonstrates discrepancies in studies of functional brain modular organization in ASD. These discrepancies result from the examination of mixed age groups. Furthermore, recent findings suggest that while much attention has been given to deriving atlases and measuring the connections between nodes, within node information may also be crucial in determining altered modular organization in ASD compared with typical development (TD). However, altered modular organization originating from systematic nodal changes are yet to be explored in younger children with ASD. Here, we used graph-theoretical measures to fill this knowledge gap. To this end, we utilized multicenter resting-state fMRI data collected from 5 to 10-year-old children ”34 ASD and 40 TD obtained from the Autism Brain Image Data Exchange (ABIDE) I and II. We demonstrate that alterations in topological roles and modular cohesiveness are the two key properties of brain regions anchored in default mode, sensorimotor, and salience networks, and primarily relate to social and sensory deficits in children with ASD. These results demonstrate that atypical global network organization in children with ASD arises from nodal role changes, and contribute to the growing body of literature suggesting that there is interesting information within nodes providing critical markers of functional brain networks in autistic children. En ligne : https://doi.org/10.1002/aur.2840 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492

Atypical effective connectivity of thalamo-cortical circuits in autism spectrum disorder / Heng CHEN in Autism Research, 9-11 (November 2016)  

Public ISBD [article]  inAutism Research > 9-11 (November 2016) . - p.1183-1190 Titre : Atypical effective connectivity of thalamo-cortical circuits in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Youxue ZHANG, Auteur ; Xujun DUAN, Auteur ; Huafu CHEN, Auteur Article en page(s) : p.1183-1190 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  thalamus  brain development  granger causality analysis Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a neurodevelopment disorder characterized by atypical connectivity within and across multiple brain systems. We aimed to explore information transmission from the sensory periphery to information processing centers of the brain across thalamo-cortical circuits in ASD. A large multicenter dataset from the autism brain imaging data exchange was utilized. A thalamus template derived from the Automatic Anatomic Labeling atlas was subdivided into six subregions corresponding to six cortical regions using a “winner-takes-all” strategy. Granger causality analysis (GCA) was then applied to calculate effective connectivity from subregions of the thalamus to the corresponding cortical regions. Results demonstrate reduced effective connectivity from the thalamus to left prefrontal cortex (P?=?0.023), right posterior parietal cortex (P?=?0.03), and bilateral temporal cortex (left: P?=?0.014; right: P?=?0.015) in ASD compared with healthy control (HC) participants. The GCA values of the thalamus-bilateral temporal cortex connections were significantly negatively correlated with communication scores as assessed by the autism diagnostic observation schedule in the ASD group (left: P?=?0.037; right: P?=?0.007). Age-related analyses showed that the strengths of the thalamus-bilateral temporal cortex connections were significantly positively correlated with age in the HC group (left: P?=?0.013; right: P?=?0.016), but not in the ASD group (left: P?=?0.506; right: P?=?0.219). These results demonstrate impaired thalamo-cortical information transmission in ASD and suggest that atypical development of thalamus-temporal cortex connections may relate to communication deficits in the disorder. En ligne : http://dx.doi.org/10.1002/aur.1614 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 [article] Atypical effective connectivity of thalamo-cortical circuits in autism spectrum disorder [Texte imprimé et/ou numérique] / Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Youxue ZHANG, Auteur ; Xujun DUAN, Auteur ; Huafu CHEN, Auteur . - p.1183-1190. Langues : Anglais (eng) in Autism Research > 9-11 (November 2016) . - p.1183-1190 Mots-clés : autism spectrum disorder  thalamus  brain development  granger causality analysis Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a neurodevelopment disorder characterized by atypical connectivity within and across multiple brain systems. We aimed to explore information transmission from the sensory periphery to information processing centers of the brain across thalamo-cortical circuits in ASD. A large multicenter dataset from the autism brain imaging data exchange was utilized. A thalamus template derived from the Automatic Anatomic Labeling atlas was subdivided into six subregions corresponding to six cortical regions using a “winner-takes-all” strategy. Granger causality analysis (GCA) was then applied to calculate effective connectivity from subregions of the thalamus to the corresponding cortical regions. Results demonstrate reduced effective connectivity from the thalamus to left prefrontal cortex (P?=?0.023), right posterior parietal cortex (P?=?0.03), and bilateral temporal cortex (left: P?=?0.014; right: P?=?0.015) in ASD compared with healthy control (HC) participants. The GCA values of the thalamus-bilateral temporal cortex connections were significantly negatively correlated with communication scores as assessed by the autism diagnostic observation schedule in the ASD group (left: P?=?0.037; right: P?=?0.007). Age-related analyses showed that the strengths of the thalamus-bilateral temporal cortex connections were significantly positively correlated with age in the HC group (left: P?=?0.013; right: P?=?0.016), but not in the ASD group (left: P?=?0.506; right: P?=?0.219). These results demonstrate impaired thalamo-cortical information transmission in ASD and suggest that atypical development of thalamus-temporal cortex connections may relate to communication deficits in the disorder. En ligne : http://dx.doi.org/10.1002/aur.1614 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297

Local brain connectivity across development in autism spectrum disorder: A cross-sectional investigation / Dina R. DAJANI in Autism Research, 9-1 (January 2016)  

Public ISBD [article]  inAutism Research > 9-1 (January 2016) . - p.43-54 Titre : Local brain connectivity across development in autism spectrum disorder: A cross-sectional investigation Type de document : Texte imprimé et/ou numérique Auteurs : Dina R. DAJANI, Auteur ; Lucina Q. UDDIN, Auteur Article en page(s) : p.43-54 Langues : Anglais (eng) Mots-clés : autism  brain development  resting state functional MRI  regional homogeneity Index. décimale : PER Périodiques Résumé : There is a general consensus that autism spectrum disorder (ASD) is accompanied by alterations in brain connectivity. Much of the neuroimaging work has focused on assessing long-range connectivity disruptions in ASD. However, evidence from both animal models and postmortem examination of the human brain suggests that local connections may also be disrupted in individuals with the disorder. Here, we investigated how regional homogeneity (ReHo), a measure of similarity of a voxel's timeseries to its nearest neighbors, varies across age in individuals with ASD and typically developing (TD) individuals using a cross-sectional design. Resting-state fMRI data obtained from a publicly available database were analyzed to determine group differences in ReHo between three age cohorts: children, adolescents, and adults. In typical development, ReHo across the entire brain was higher in children than in adolescents and adults. In contrast, children with ASD exhibited marginally lower ReHo than TD children, while adolescents and adults with ASD exhibited similar levels of local connectivity as age-matched neurotypical individuals. During all developmental stages, individuals with ASD exhibited lower local connectivity in sensory processing brain regions and higher local connectivity in complex information processing regions. Further, higher local connectivity in ASD corresponded to more severe ASD symptomatology. These results demonstrate that local connectivity is disrupted in ASD across development, with the most pronounced differences occurring in childhood. Developmental changes in ReHo do not mirror findings from fMRI studies of long-range connectivity in ASD, pointing to a need for more nuanced accounts of brain connectivity alterations in the disorder. En ligne : http://dx.doi.org/10.1002/aur.1494 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282 [article] Local brain connectivity across development in autism spectrum disorder: A cross-sectional investigation [Texte imprimé et/ou numérique] / Dina R. DAJANI, Auteur ; Lucina Q. UDDIN, Auteur . - p.43-54. Langues : Anglais (eng) in Autism Research > 9-1 (January 2016) . - p.43-54 Mots-clés : autism  brain development  resting state functional MRI  regional homogeneity Index. décimale : PER Périodiques Résumé : There is a general consensus that autism spectrum disorder (ASD) is accompanied by alterations in brain connectivity. Much of the neuroimaging work has focused on assessing long-range connectivity disruptions in ASD. However, evidence from both animal models and postmortem examination of the human brain suggests that local connections may also be disrupted in individuals with the disorder. Here, we investigated how regional homogeneity (ReHo), a measure of similarity of a voxel's timeseries to its nearest neighbors, varies across age in individuals with ASD and typically developing (TD) individuals using a cross-sectional design. Resting-state fMRI data obtained from a publicly available database were analyzed to determine group differences in ReHo between three age cohorts: children, adolescents, and adults. In typical development, ReHo across the entire brain was higher in children than in adolescents and adults. In contrast, children with ASD exhibited marginally lower ReHo than TD children, while adolescents and adults with ASD exhibited similar levels of local connectivity as age-matched neurotypical individuals. During all developmental stages, individuals with ASD exhibited lower local connectivity in sensory processing brain regions and higher local connectivity in complex information processing regions. Further, higher local connectivity in ASD corresponded to more severe ASD symptomatology. These results demonstrate that local connectivity is disrupted in ASD across development, with the most pronounced differences occurring in childhood. Developmental changes in ReHo do not mirror findings from fMRI studies of long-range connectivity in ASD, pointing to a need for more nuanced accounts of brain connectivity alterations in the disorder. En ligne : http://dx.doi.org/10.1002/aur.1494 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282

Neural Responses to a Putative Set-shifting Task in Children with Autism Spectrum Disorder / Bryce DIRKS in Autism Research, 13-9 (September 2020)  

Public ISBD [article]  inAutism Research > 13-9 (September 2020) . - p.1501-1515 Titre : Neural Responses to a Putative Set-shifting Task in Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Bryce DIRKS, Auteur ; Celia ROMERO, Auteur ; Willa VOORHIES, Auteur ; Lauren KUPIS, Auteur ; Jason S. NOMI, Auteur ; Dina R. DAJANI, Auteur ; Paola ODRIOZOLA, Auteur ; Catherine A. BURROWS, Auteur ; Amy L. BEAUMONT, Auteur ; Sandra M. CARDONA, Auteur ; Meaghan V. PARLADE, Auteur ; Michael ALESSANDRI, Auteur ; Jennifer C. BRITTON, Auteur ; Lucina Q. UDDIN, Auteur Article en page(s) : p.1501-1515 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : While much progress has been made toward understanding the neurobiology of social and communication deficits associated with autism spectrum disorder (ASD), less is known regarding the neurobiological basis of restricted and repetitive behaviors (RRBs) central to the ASD diagnosis. Symptom severity for RRBs in ASD is associated with cognitive inflexibility. Thus, understanding the neural mechanisms underlying cognitive inflexibility in ASD is critical for tailoring therapies to treat this understudied yet pervasive symptom. Here we used a set-shifting paradigm adopted from the developmental cognitive neuroscience literature involving flexible switching between stimulus categories to examine task performance and neural responses in children with ASD. Behaviorally, we found little evidence for group differences in performance on the set-shifting task. Compared with typically developing children, children with ASD exhibited greater activation of the parahippocampal gyrus during performance on trials requiring switching. These findings suggest that children with ASD may need to recruit memory-based neural systems to a greater degree when learning to flexibly associate stimuli with responses. Lay Summary Children with autism often struggle to behave in a flexible way when faced with unexpected challenges. We examined brain responses during a task thought to involve flexible thinking and found that compared with typically developing children, those with autism relied more on brain areas involved in learning and memory to complete the task. This study helps us to understand what types of cognitive tasks are best suited for exploring the neural basis of cognitive flexibility in children with autism. Autism Res 2020, 13: 1501–1515. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.2347 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431 [article] Neural Responses to a Putative Set-shifting Task in Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Bryce DIRKS, Auteur ; Celia ROMERO, Auteur ; Willa VOORHIES, Auteur ; Lauren KUPIS, Auteur ; Jason S. NOMI, Auteur ; Dina R. DAJANI, Auteur ; Paola ODRIOZOLA, Auteur ; Catherine A. BURROWS, Auteur ; Amy L. BEAUMONT, Auteur ; Sandra M. CARDONA, Auteur ; Meaghan V. PARLADE, Auteur ; Michael ALESSANDRI, Auteur ; Jennifer C. BRITTON, Auteur ; Lucina Q. UDDIN, Auteur . - p.1501-1515. Langues : Anglais (eng) in Autism Research > 13-9 (September 2020) . - p.1501-1515 Index. décimale : PER Périodiques Résumé : While much progress has been made toward understanding the neurobiology of social and communication deficits associated with autism spectrum disorder (ASD), less is known regarding the neurobiological basis of restricted and repetitive behaviors (RRBs) central to the ASD diagnosis. Symptom severity for RRBs in ASD is associated with cognitive inflexibility. Thus, understanding the neural mechanisms underlying cognitive inflexibility in ASD is critical for tailoring therapies to treat this understudied yet pervasive symptom. Here we used a set-shifting paradigm adopted from the developmental cognitive neuroscience literature involving flexible switching between stimulus categories to examine task performance and neural responses in children with ASD. Behaviorally, we found little evidence for group differences in performance on the set-shifting task. Compared with typically developing children, children with ASD exhibited greater activation of the parahippocampal gyrus during performance on trials requiring switching. These findings suggest that children with ASD may need to recruit memory-based neural systems to a greater degree when learning to flexibly associate stimuli with responses. Lay Summary Children with autism often struggle to behave in a flexible way when faced with unexpected challenges. We examined brain responses during a task thought to involve flexible thinking and found that compared with typically developing children, those with autism relied more on brain areas involved in learning and memory to complete the task. This study helps us to understand what types of cognitive tasks are best suited for exploring the neural basis of cognitive flexibility in children with autism. Autism Res 2020, 13: 1501–1515. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.2347 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431

Shared atypical default mode and salience network functional connectivity between autism and schizophrenia / Heng CHEN in Autism Research, 10-11 (November 2017)  

Public ISBD [article]  inAutism Research > 10-11 (November 2017) . - p.1776-1786 Titre : Shared atypical default mode and salience network functional connectivity between autism and schizophrenia Type de document : Texte imprimé et/ou numérique Auteurs : Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Xujun DUAN, Auteur ; Junjie ZHENG, Auteur ; Zhiliang LONG, Auteur ; Youxue ZHANG, Auteur ; Xiaonan GUO, Auteur ; Yan ZHANG, Auteur ; Jingping ZHAO, Auteur ; Huafu CHEN, Auteur Article en page(s) : p.1776-1786 Langues : Anglais (eng) Mots-clés : schizophrenia  autism spectrum disorder  functional connectivity  multivariate pattern analysis  default mode network  salience network Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6?±?1.8 years old) and 31 healthy controls (15.4?±?1.6 years old). Data from 22 participants with ASD (13.1?±?3.1 years old) and 21 healthy controls (12.9?±?2.9 years old) were downloaded from the Autism Brain Imaging Data Exchange. Resting-state functional networks were constructed using predefined regions of interest. Multivariate pattern analysis combined with multi-task regression feature selection methods were conducted in two datasets separately. Classification between individuals with disorders and controls was achieved with high accuracy (schizophrenia dataset: accuracy?=?83%; ASD dataset: accuracy?=?80%). Shared atypical brain connections contributing to classification were mostly present in the default mode network (DMN) and salience network (SN). These functional connections were further related to severity of social deficits in ASD (p?=?0.002). Distinct atypical connections were also more related to the DMN and SN, but showed different atypical connectivity patterns between the two disorders. These results suggest some common neural mechanisms contributing to schizophrenia and ASD, and may aid in understanding the pathology of these two neurodevelopmental disorders. Autism Res 2017, 10: 1776–1786. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary Autism spectrum disorder (ASD) and schizophrenia are two common neurodevelopmental disorders which share several genetic and behavioral features. The present study identified common neural mechanisms contributing to ASD and schizophrenia using resting-state functional MRI data. The results may help to understand the pathology of these two neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1002/aur.1834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322 [article] Shared atypical default mode and salience network functional connectivity between autism and schizophrenia [Texte imprimé et/ou numérique] / Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Xujun DUAN, Auteur ; Junjie ZHENG, Auteur ; Zhiliang LONG, Auteur ; Youxue ZHANG, Auteur ; Xiaonan GUO, Auteur ; Yan ZHANG, Auteur ; Jingping ZHAO, Auteur ; Huafu CHEN, Auteur . - p.1776-1786. Langues : Anglais (eng) in Autism Research > 10-11 (November 2017) . - p.1776-1786 Mots-clés : schizophrenia  autism spectrum disorder  functional connectivity  multivariate pattern analysis  default mode network  salience network Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6?±?1.8 years old) and 31 healthy controls (15.4?±?1.6 years old). Data from 22 participants with ASD (13.1?±?3.1 years old) and 21 healthy controls (12.9?±?2.9 years old) were downloaded from the Autism Brain Imaging Data Exchange. Resting-state functional networks were constructed using predefined regions of interest. Multivariate pattern analysis combined with multi-task regression feature selection methods were conducted in two datasets separately. Classification between individuals with disorders and controls was achieved with high accuracy (schizophrenia dataset: accuracy?=?83%; ASD dataset: accuracy?=?80%). Shared atypical brain connections contributing to classification were mostly present in the default mode network (DMN) and salience network (SN). These functional connections were further related to severity of social deficits in ASD (p?=?0.002). Distinct atypical connections were also more related to the DMN and SN, but showed different atypical connectivity patterns between the two disorders. These results suggest some common neural mechanisms contributing to schizophrenia and ASD, and may aid in understanding the pathology of these two neurodevelopmental disorders. Autism Res 2017, 10: 1776–1786. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary Autism spectrum disorder (ASD) and schizophrenia are two common neurodevelopmental disorders which share several genetic and behavioral features. The present study identified common neural mechanisms contributing to ASD and schizophrenia using resting-state functional MRI data. The results may help to understand the pathology of these two neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1002/aur.1834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322

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