FMRI data from 162 ASD and 175 TD adolescents are analyzed to demonstrate statistical associations among altered spatial-functional properties, clinical severity, and transcriptomic profiles related to synaptic signaling, mitochondrial processes, and glial-related functions in ASD, providing a complementary spatial perspective on large-scale functional organization.
Abstract
Autism Spectrum Disorder (ASD) is associated with atypical large-scale brain network organization, yet how spatial-functional dependencies relate to clinical features and molecular reference maps remains incompletely understood. To quantify spatial functional heterogeneity (Sill) and coherence persistence (Range), we analyzed resting-state fMRI data from 162 ASD and 175 TD adolescents, all aged 12–18. Compared with TD, adolescents with ASD exhibited significantly increased Sill within higher-order association networks, including the left Language and right Posterior Multimodal networks, whereas no group differences in Range survived multiple-comparison correction. Within the ASD group, elevated Sill was selectively associated with greater social-affective symptom severity but not restricted and repetitive behaviors. To explore potential biological correlates, we integrated cortical gene expression reference data and identified transcriptomic patterns associated with regional Sill differences. These genes showed enrichment for synaptic signaling, mitochondrial processes, and glial-related functions, highlighting multiscale correspondence between spatial-functional organization and molecular reference maps. Together, these results demonstrate statistical associations among altered spatial-functional properties, clinical severity, and transcriptomic profiles related to synaptic signaling, mitochondrial processes, and glial-related functions in ASD, providing a complementary spatial perspective on large-scale functional organization.
RCCA revealed three distinct FC patterns in recurrent ASD-related networks, each contributing to predict individual differences in cognitive, social and sensory features, which may shed light on atypical brain network topology associated with specific phenotypic manifestations of ASD.
B. Rodríguez-Herreros, A. Mheich, J. A. Osório et al.· Autism Research· 0 citations
Autism spectrum disorder (ASD) is classically conceptualized as a dysconnectivity syndrome. However, most studies have examined structural and functional connectivity in isolation, leaving the coupling mechanisms between brain structure and function, particularly the contribution of white matter, poorly understood. To systematically characterize connectome pathology in ASD, we analyzed multimodal imaging data from 580 participants (240 with ASD, 340 typical controls) in the Autism Brain Imaging Data Exchange II dataset. We constructed multilayer brain networks integrating gray and white matter layers and quantified topological alterations using multiplex clustering and participation coefficients. Imaging-transcriptomic analysis was performed using the Allen Human Brain Atlas to link network changes to molecular pathways. The results revealed widespread whole-brain topological reorganization in white matter multiplex networks, involving the corpus callosum and major fiber tracts, with gene expression enriched in immune regulation and cellular metabolism pathways. The gray matter multiplex networks exhibited localized hyper-clustering centered on the cortico-striatum-thalamic-cortical circuit and the default mode network associated with genes implicated in cell adhesion and synaptic transmission. Notably, no significant group differences were observed in the multiplex participation coefficient, which indexes cross-layer integration, suggesting that the overall cross-layer connectivity distribution remains relatively stable. These findings delineate the co-occurring patterns of gray matter hyper-clustering and widespread white matter topological alterations in ASD and establish a multilevel framework bridging macroscopic connectome disruptions to the underlying molecular mechanisms, offering an integrated perspective on ASD heterogeneity.
Yingzhuo Wan, Hairong Xiao, Hanrui Chen et al.· Progress in Neuro-psychophar...· 0 citations
Topological disorganization in the autistic brain network varies across developmental stages, shifting from reduced global integration in childhood to enhanced segregation of social-brain circuits in adolescence.
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Findings indicate that altered alpha-band connectivity trajectories are detectable in infancy in children later diagnosed with autism and may contribute to later differences in developmental outcomes.
Haerin Chung, W. W. An, C. Wilkinson et al.· medRxiv· 1 citation
Children and adolescents with ASD exhibited lower empathy capabilities than control subjects, which may be attributed to dysfunctions in the salience and social brain networks.
Yong-Lu Wang, Zhang-Liang Ma, Zhiyi Wang et al.· Frontiers in Psychiatry· 0 citations
An exploratory association between right precuneus GMV and ADOS social-domain scores suggests a possible link between localized structural variation and social symptom severity, although this finding requires replication in longitudinal and clinically richer datasets given their sensitivity to the harmonization strategy.
Gang Xiao, Xiaoshi Li, Yue Qin et al.· Frontiers in Neuroscience· 0 citations
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