Sex differences of the triple network model in children with autism: A resting-state fMRI investigation of effective connectivity / Cuicui LI in Autism Research, 16-9 (September 2023)  

Public ISBD [article]  inAutism Research > 16-9 (September 2023) . - p.1693-1706 Titre : Sex differences of the triple network model in children with autism: A resting-state fMRI investigation of effective connectivity Type de document : Texte imprimé et/ou numérique Auteurs : Cuicui LI, Auteur ; Tong LI, Auteur ; Ying CHEN, Auteur ; Chunling ZHANG, Auteur ; Mingmin NING, Auteur ; Rui QIN, Auteur ; Lin LI, Auteur ; Ximing WANG, Auteur ; Linglong CHEN, Auteur Article en page(s) : p.1693-1706 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) has a pronounced male predominance, but the underlying neurobiological basis of this sex bias remains unclear. Gender incoherence (GI) theory suggests that ASD is more neurally androgynous than same-sex controls. Given its central role, altered structures and functions, and sex-dependent network differences in ASD, the triple network model, including the central executive network (CEN), default mode network (DMN), and salience network (SN), has emerged as a candidate for characterizing this sex difference. Here, we measured the sex-related effective connectivity (EC) differences within and between these three networks in 72 children with ASD (36 females, 8-14?years) and 72 typically developing controls (TCs) (36 females, 8-14?years) from 5 sites of the Autism Brain Imaging Data Exchange repositories using a 2?*?2 analysis of covariance factorial design. We also assessed brain-behavior relationships and the effects of age on EC. We found significant diagnosis-by-sex interactions on EC: females with ASD had significantly higher EC than their male counterparts within the DMN and between the SN and CEN. The interaction pattern supported the GI theory by showing that the higher EC observed in females with ASD reflected a shift towards the higher level of EC displayed in male TCs (neural masculinization), and the lower EC seen in males with ASD reflected a shift towards the lower level of EC displayed in female TCs (neural feminization). We also found significant brain-behavior correlations and significant effects of age on EC. En ligne : https://doi.org/10.1002/aur.2991 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510 [article] Sex differences of the triple network model in children with autism: A resting-state fMRI investigation of effective connectivity [Texte imprimé et/ou numérique] / Cuicui LI, Auteur ; Tong LI, Auteur ; Ying CHEN, Auteur ; Chunling ZHANG, Auteur ; Mingmin NING, Auteur ; Rui QIN, Auteur ; Lin LI, Auteur ; Ximing WANG, Auteur ; Linglong CHEN, Auteur . - p.1693-1706. Langues : Anglais (eng) in Autism Research > 16-9 (September 2023) . - p.1693-1706 Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) has a pronounced male predominance, but the underlying neurobiological basis of this sex bias remains unclear. Gender incoherence (GI) theory suggests that ASD is more neurally androgynous than same-sex controls. Given its central role, altered structures and functions, and sex-dependent network differences in ASD, the triple network model, including the central executive network (CEN), default mode network (DMN), and salience network (SN), has emerged as a candidate for characterizing this sex difference. Here, we measured the sex-related effective connectivity (EC) differences within and between these three networks in 72 children with ASD (36 females, 8-14?years) and 72 typically developing controls (TCs) (36 females, 8-14?years) from 5 sites of the Autism Brain Imaging Data Exchange repositories using a 2?*?2 analysis of covariance factorial design. We also assessed brain-behavior relationships and the effects of age on EC. We found significant diagnosis-by-sex interactions on EC: females with ASD had significantly higher EC than their male counterparts within the DMN and between the SN and CEN. The interaction pattern supported the GI theory by showing that the higher EC observed in females with ASD reflected a shift towards the higher level of EC displayed in male TCs (neural masculinization), and the lower EC seen in males with ASD reflected a shift towards the lower level of EC displayed in female TCs (neural feminization). We also found significant brain-behavior correlations and significant effects of age on EC. En ligne : https://doi.org/10.1002/aur.2991 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510

Sex-related patterns of functional brain networks in children and adolescents with autism spectrum disorder / Jingxuan WANG ; Yunna ZHOU ; Tong LI ; Baolin WU ; Xianshun YUAN ; Lin LI ; Rui QIN ; Hongzhu LIU ; Linglong CHEN ; Ximing WANG in Autism Research, 17-7 (July 2024)  

Public ISBD [article]  inAutism Research > 17-7 (July 2024) . - p.1344-1355 Titre : Sex-related patterns of functional brain networks in children and adolescents with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Jingxuan WANG, Auteur ; Yunna ZHOU, Auteur ; Tong LI, Auteur ; Baolin WU, Auteur ; Xianshun YUAN, Auteur ; Lin LI, Auteur ; Rui QIN, Auteur ; Hongzhu LIU, Auteur ; Linglong CHEN, Auteur ; Ximing WANG, Auteur Article en page(s) : p.1344-1355 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Although numerous studies have emphasized the male predominance in autism spectrum disorder (ASD), how sex differences are related to the topological organization of functional networks remains unclear. This study utilized imaging data from 86 ASD (43 females, aged 7-18?years) and 86 typically developing controls (TCs) (43 females, aged 7-18?years) obtained from Autism Brain Imaging Data Exchange databases, constructed individual whole-brain functional networks, used a graph theory analysis to compute topological metrics, and assessed sex-related differences in topological metrics using a 2?*?2 factorial design. At the global level, females with ASD exhibited significantly higher cluster coefficient and local efficiency than female TCs, while no significant difference was observed between males with ASD and male TCs. Meanwhile, the neurotypical sex differences in cluster coefficient and local efficiency observed in TCs were not present in ASD. At the nodal level, ASD exhibited abnormal nodal centrality in the left middle temporal gyrus. En ligne : https://dx.doi.org/https://doi.org/10.1002/aur.3180 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533 [article] Sex-related patterns of functional brain networks in children and adolescents with autism spectrum disorder [Texte imprimé et/ou numérique] / Jingxuan WANG, Auteur ; Yunna ZHOU, Auteur ; Tong LI, Auteur ; Baolin WU, Auteur ; Xianshun YUAN, Auteur ; Lin LI, Auteur ; Rui QIN, Auteur ; Hongzhu LIU, Auteur ; Linglong CHEN, Auteur ; Ximing WANG, Auteur . - p.1344-1355. Langues : Anglais (eng) in Autism Research > 17-7 (July 2024) . - p.1344-1355 Index. décimale : PER Périodiques Résumé : Abstract Although numerous studies have emphasized the male predominance in autism spectrum disorder (ASD), how sex differences are related to the topological organization of functional networks remains unclear. This study utilized imaging data from 86 ASD (43 females, aged 7-18?years) and 86 typically developing controls (TCs) (43 females, aged 7-18?years) obtained from Autism Brain Imaging Data Exchange databases, constructed individual whole-brain functional networks, used a graph theory analysis to compute topological metrics, and assessed sex-related differences in topological metrics using a 2?*?2 factorial design. At the global level, females with ASD exhibited significantly higher cluster coefficient and local efficiency than female TCs, while no significant difference was observed between males with ASD and male TCs. Meanwhile, the neurotypical sex differences in cluster coefficient and local efficiency observed in TCs were not present in ASD. At the nodal level, ASD exhibited abnormal nodal centrality in the left middle temporal gyrus. En ligne : https://dx.doi.org/https://doi.org/10.1002/aur.3180 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533

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