Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder / Guangjin ZHAI ; Junfeng LIU ; Xia ZHANG ; Tao ZHANG ; Dong CUI ; Rongjuan ZHOU ; Le GAO in Autism Research, 16-12 (December 2023)  

Public ISBD [article]  inAutism Research > 16-12 (December 2023) . - p.2275-2290 Titre : Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Xia ZHANG, Auteur ; Tao ZHANG, Auteur ; Dong CUI, Auteur ; Rongjuan ZHOU, Auteur ; Le GAO, Auteur Article en page(s) : p.2275-2290 Index. décimale : PER Périodiques Résumé : Abstract Atypical functional connectivity (FC) patterns have been identified in autism spectrum disorders (ASD), especially within salience network (SN) and between SN and default mode network (DMN) and central executive network (CEN). But whether the dynamic configuration of intra-SN and inter-SN (SN with DMN and CEN) FC in ASD is also heterogeneous remains unknown. Based on the resting-state functional magnetic resonance imaging data from 105 ASD and 102 typically-developing controls (TC), we calculated the time-varying FC of intra-SN and inter-SN (SN with DMN and CEN). Then, the joint recurrence features for the time-varying FC were calculated to assess how the SN dynamically recruits different configurations of network segregation and integration in ASD, that is, synergies, from the dynamical systems perspective. We analyzed the differences in synergetic patterns between ASD subtypes obtained by k-means clustering algorithm based on the synergy of SN and TC, and investigated the relationships between synergy of SN and severity of clinical symptoms of ASD for ASD subtypes. Two ASD subtypes were revealed, where the synergy of SN in ASD subtype 1 has lower stability and periodicity compared to the TC, and ASD subtype 2 exhibits the opposite alteration. Synergy of SN for ASD subtype 1 and 2 was found to predict the severity of communication impairments and restricted and repetitive behaviors in ASD, respectively. These results suggest the existence of subtypes with distinct patterns of the synergy of SN in ASD, and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : https://doi.org/10.1002/aur.3037 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder [Texte imprimé et/ou numérique] / Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Xia ZHANG, Auteur ; Tao ZHANG, Auteur ; Dong CUI, Auteur ; Rongjuan ZHOU, Auteur ; Le GAO, Auteur . - p.2275-2290. in Autism Research > 16-12 (December 2023) . - p.2275-2290 Index. décimale : PER Périodiques Résumé : Abstract Atypical functional connectivity (FC) patterns have been identified in autism spectrum disorders (ASD), especially within salience network (SN) and between SN and default mode network (DMN) and central executive network (CEN). But whether the dynamic configuration of intra-SN and inter-SN (SN with DMN and CEN) FC in ASD is also heterogeneous remains unknown. Based on the resting-state functional magnetic resonance imaging data from 105 ASD and 102 typically-developing controls (TC), we calculated the time-varying FC of intra-SN and inter-SN (SN with DMN and CEN). Then, the joint recurrence features for the time-varying FC were calculated to assess how the SN dynamically recruits different configurations of network segregation and integration in ASD, that is, synergies, from the dynamical systems perspective. We analyzed the differences in synergetic patterns between ASD subtypes obtained by k-means clustering algorithm based on the synergy of SN and TC, and investigated the relationships between synergy of SN and severity of clinical symptoms of ASD for ASD subtypes. Two ASD subtypes were revealed, where the synergy of SN in ASD subtype 1 has lower stability and periodicity compared to the TC, and ASD subtype 2 exhibits the opposite alteration. Synergy of SN for ASD subtype 1 and 2 was found to predict the severity of communication impairments and restricted and repetitive behaviors in ASD, respectively. These results suggest the existence of subtypes with distinct patterns of the synergy of SN in ASD, and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : https://doi.org/10.1002/aur.3037 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

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