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

Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder / Qi DONG ; Le GAO ; Zaifa XUE ; Xiaoxia NIU ; Rongjuan ZHOU ; Xiaonan GUO in Autism Research, 17-9 (September 2024)  

Public ISBD [article]  inAutism Research > 17-9 (September 2024) . - p.1796-1809 Titre : Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Qi DONG, Auteur ; Le GAO, Auteur ; Zaifa XUE, Auteur ; Xiaoxia NIU, Auteur ; Rongjuan ZHOU, Auteur ; Xiaonan GUO, Auteur Article en page(s) : p.1796-1809 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  dynamic amplitude of low-frequency fluctuation  dynamic functional connectivity  resting-state functional magnetic resonance imaging  sex heterogeneity Index. décimale : PER Périodiques Résumé : Abstract Sex heterogeneity has been frequently reported in autism spectrum disorders (ASD) and has been linked to static differences in brain function. However, given the complexity of ASD and diagnosis-by-sex interactions, dynamic characteristics of brain activity and functional connectivity may provide important information for distinguishing ASD phenotypes between females and males. The aim of this study was to explore sex heterogeneity of functional networks in the ASD brain from a dynamic perspective. Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were analyzed in 128 ASD subjects (64 males/64 females) and 128 typically developing control (TC) subjects (64 males/64 females). A sliding-window approach was adopted for the estimation of dynamic amplitude of low-frequency fluctuation (dALFF) and dynamic functional connectivity (dFC) to characterize time-varying brain activity and functional connectivity respectively. We then examined the sex-related changes in ASD using two-way analysis of variance. Significant diagnosis-by-sex interaction effects were identified in the left anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and left precuneus in the dALFF analysis. Furthermore, there were significant diagnosis-by-sex interaction effects of dFC variance between the left ACC/mPFC and right ACC, left postcentral gyrus, left precuneus, right middle temporal gyrus and left inferior frontal gyrus, triangular part. These findings reveal the sex heterogeneity in brain activity and functional connectivity in ASD from a dynamic perspective, and provide new evidence for further exploring sex heterogeneity in ASD. En ligne : https://doi.org/10.1002/aur.3227 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=535 [article] Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder [Texte imprimé et/ou numérique] / Qi DONG, Auteur ; Le GAO, Auteur ; Zaifa XUE, Auteur ; Xiaoxia NIU, Auteur ; Rongjuan ZHOU, Auteur ; Xiaonan GUO, Auteur . - p.1796-1809. Langues : Anglais (eng) in Autism Research > 17-9 (September 2024) . - p.1796-1809 Mots-clés : autism spectrum disorder  dynamic amplitude of low-frequency fluctuation  dynamic functional connectivity  resting-state functional magnetic resonance imaging  sex heterogeneity Index. décimale : PER Périodiques Résumé : Abstract Sex heterogeneity has been frequently reported in autism spectrum disorders (ASD) and has been linked to static differences in brain function. However, given the complexity of ASD and diagnosis-by-sex interactions, dynamic characteristics of brain activity and functional connectivity may provide important information for distinguishing ASD phenotypes between females and males. The aim of this study was to explore sex heterogeneity of functional networks in the ASD brain from a dynamic perspective. Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were analyzed in 128 ASD subjects (64 males/64 females) and 128 typically developing control (TC) subjects (64 males/64 females). A sliding-window approach was adopted for the estimation of dynamic amplitude of low-frequency fluctuation (dALFF) and dynamic functional connectivity (dFC) to characterize time-varying brain activity and functional connectivity respectively. We then examined the sex-related changes in ASD using two-way analysis of variance. Significant diagnosis-by-sex interaction effects were identified in the left anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and left precuneus in the dALFF analysis. Furthermore, there were significant diagnosis-by-sex interaction effects of dFC variance between the left ACC/mPFC and right ACC, left postcentral gyrus, left precuneus, right middle temporal gyrus and left inferior frontal gyrus, triangular part. These findings reveal the sex heterogeneity in brain activity and functional connectivity in ASD from a dynamic perspective, and provide new evidence for further exploring sex heterogeneity in ASD. En ligne : https://doi.org/10.1002/aur.3227 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=535

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