Atypical maturation of the functional connectome hierarchy in autism / Sunghun KIM ; Shinwon PARK ; Hyoungshin CHOI ; Bo-Yong PARK ; Hyunjin PARK in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 21 Titre : Atypical maturation of the functional connectome hierarchy in autism Type de document : Texte imprimé et/ou numérique Auteurs : Sunghun KIM, Auteur ; Shinwon PARK, Auteur ; Hyoungshin CHOI, Auteur ; Bo-Yong PARK, Auteur ; Hyunjin PARK, Auteur Article en page(s) : 21 Langues : Anglais (eng) Mots-clés : Humans  Connectome  Adolescent  Child  Male  Young Adult  Female  Magnetic Resonance Imaging  Brain/diagnostic imaging/physiopathology  Child, Preschool  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Adult  Autism spectrum disorder  Cortical hierarchy  Integration and segregation  Normative modeling Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is marked by disruptions in low-level sensory processing and higher-order sociocognitive functions, suggesting a complex interplay between different brain regions across the cortical hierarchy. However, the developmental trajectory of this hierarchical organization in ASD remains underexplored. Herein, we investigated the maturational abnormalities in the cortical hierarchy among individuals with ASD. METHODS: Resting-state functional magnetic resonance imaging data from three large-scale datasets were analyzed: Autism Brain Imaging Data Exchange I and II and Lifespan Human Connectome Project Development (aged 5-22 years). The principal functional connectivity gradient representing cortical hierarchy was estimated using diffusion map embedding. By applying normative modeling with the generalized additive model for location, scale, and shape (GAMLSS), we captured the nonlinear trajectories of the developing functional gradient, as well as the individual-level deviations in ASD from typical development based on centile scores measured as deviations from the normative curves. A whole-brain summary metric, the functional hierarchy score, was derived to measure the extent of abnormal maturation in individuals with ASD. Finally, through a series of mediation analyses, we examined the potential role of network-level connectomic disruptions between the diagnoses and deviations in the cortical hierarchy. RESULTS: The maturation of cortical hierarchy in individuals with ASD followed a non-linear trajectory, showing delayed maturation during childhood compared to that of typically developing individuals, followed by an accelerated "catch-up" phase during adolescence and a subsequent decline in young adulthood. The nature of these deviations varied across networks, with sensory and attention networks displaying the most pronounced abnormalities in childhood, while higher-order networks, particularly the default mode network (DMN), remaining impaired from childhood to adolescence. Mediation analyses revealed that the persistent reduction in DMN segregation throughout development was a key contributor to the atypical development of cortical hierarchy in ASD. LIMITATIONS: The uneven distribution of samples across age groups, particularly in the later stages of development, limited our ability to fully capture developmental trajectories among older individuals. CONCLUSIONS: These findings highlight the importance of understanding the developmental trajectories of cortical organization in ASD, collectively suggesting that early interventions aimed at promoting the normative development of higher-order networks may be critical for improving outcomes in individuals with ASD. En ligne : https://dx.doi.org/10.1186/s13229-025-00641-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Atypical maturation of the functional connectome hierarchy in autism [Texte imprimé et/ou numérique] / Sunghun KIM, Auteur ; Shinwon PARK, Auteur ; Hyoungshin CHOI, Auteur ; Bo-Yong PARK, Auteur ; Hyunjin PARK, Auteur . - 21. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 21 Mots-clés : Humans  Connectome  Adolescent  Child  Male  Young Adult  Female  Magnetic Resonance Imaging  Brain/diagnostic imaging/physiopathology  Child, Preschool  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Adult  Autism spectrum disorder  Cortical hierarchy  Integration and segregation  Normative modeling Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is marked by disruptions in low-level sensory processing and higher-order sociocognitive functions, suggesting a complex interplay between different brain regions across the cortical hierarchy. However, the developmental trajectory of this hierarchical organization in ASD remains underexplored. Herein, we investigated the maturational abnormalities in the cortical hierarchy among individuals with ASD. METHODS: Resting-state functional magnetic resonance imaging data from three large-scale datasets were analyzed: Autism Brain Imaging Data Exchange I and II and Lifespan Human Connectome Project Development (aged 5-22 years). The principal functional connectivity gradient representing cortical hierarchy was estimated using diffusion map embedding. By applying normative modeling with the generalized additive model for location, scale, and shape (GAMLSS), we captured the nonlinear trajectories of the developing functional gradient, as well as the individual-level deviations in ASD from typical development based on centile scores measured as deviations from the normative curves. A whole-brain summary metric, the functional hierarchy score, was derived to measure the extent of abnormal maturation in individuals with ASD. Finally, through a series of mediation analyses, we examined the potential role of network-level connectomic disruptions between the diagnoses and deviations in the cortical hierarchy. RESULTS: The maturation of cortical hierarchy in individuals with ASD followed a non-linear trajectory, showing delayed maturation during childhood compared to that of typically developing individuals, followed by an accelerated "catch-up" phase during adolescence and a subsequent decline in young adulthood. The nature of these deviations varied across networks, with sensory and attention networks displaying the most pronounced abnormalities in childhood, while higher-order networks, particularly the default mode network (DMN), remaining impaired from childhood to adolescence. Mediation analyses revealed that the persistent reduction in DMN segregation throughout development was a key contributor to the atypical development of cortical hierarchy in ASD. LIMITATIONS: The uneven distribution of samples across age groups, particularly in the later stages of development, limited our ability to fully capture developmental trajectories among older individuals. CONCLUSIONS: These findings highlight the importance of understanding the developmental trajectories of cortical organization in ASD, collectively suggesting that early interventions aimed at promoting the normative development of higher-order networks may be critical for improving outcomes in individuals with ASD. En ligne : https://dx.doi.org/10.1186/s13229-025-00641-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

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