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Emerging evidence suggests aberrant functional connectivity (FC) of brain networks in children, adolescents, and adults with autism spectrum disorder (ASD). However, little is known about alterations of dynamic FC in toddlers with ASD. The aim of this study was to investigate the characteristics of brain network dynamics in ASD toddlers. We analyzed resting-state functional magnetic resonance imaging data of 41 ASD and 23 typically-developing (TD) toddlers aged 15-45 months using leading eigenvector dynamics analysis. The between-group differences in the temporal properties of state were evaluated, followed by correlation analysis of these differences with autistic factors in ASD. Compared with TD subjects, ASD toddlers had a lower occurrence rate and mean dwell time in the global state. The mean dwell time of this state was negatively correlated with the body and object use of the autism behavior checklist (ABC) score. The ASD group presented a higher occurrence probability in the state related to the visual network, and the dwell time of this state was positively correlated with the relationship building of the ABC score. Moreover, the occurrence probability of the state related to the dorsal attention network and default mode network was positively correlated with the body and object use of the ABC score. Our findings indicate that there are differences in the developmental patterns of large-scale brain functional networks in ASD toddlers, which may contribute to the early identification of ASD and provide meaningful insights into its potential neural mechanisms.
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http://dx.doi.org/10.1007/s00787-025-02651-7 | DOI Listing |
Ultrasound Obstet Gynecol
September 2025
Child Neurology and Psychiatry Unit, Department of Paediatrics, Buzzi Children's Hospital, University of Milan, Milan, Italy.
Objective: Emerging evidence indicates that uncomplicated monochorionic diamniotic (MCDA) twins deviate physiologically from singletons, probably owing to adaptations to their unique intrauterine environment. However, their long-term neurodevelopmental outcomes remain poorly understood. Early identification of neurodevelopmental risks is critical to optimize neuroplasticity during key developmental periods.
View Article and Find Full Text PDFPediatrics
September 2025
Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada.
Objective: Preterm children exhibit a higher prevalence of autism spectrum disorder (ASD) than the general population. The unique neurodevelopmental characteristics of preterm children present challenges in screening for and diagnosing ASD. To date, a systematic review of screening tools for ASD in this population has not been completed.
View Article and Find Full Text PDFChild Dev
August 2025
Centre for Brain and Cognitive Development, Department of Psychology, Birkbeck, University of London, London, UK.
Examination of the effectiveness of an attention intervention using a randomized controlled trial for toddlers with suspected or confirmed autism spectrum disorder (ASD). Data was collected from Alberta, Ontario, and Nova Scotia, Canada between February 2018 and February 2020 (halted due to COVID-19 pandemic). Participants were 35 toddlers randomized to the attention condition (age at start: 25.
View Article and Find Full Text PDFBrain Commun
July 2025
Department of Neurology, Sydney Children's Hospital Randwick, Sydney, NSW 2031, Australia.
With transformative advances in diagnostic and therapeutic approaches in spinal muscular atrophy, the long-term neurodevelopmental outcomes of children with, or predicted to have, spinal muscular atrophy type 1 are essential to evaluate. In this single-centre cross-sectional study, development in children with/at-risk of spinal muscular atrophy type 1, aged 1-66 months, was assessed using parent-reported Ages and Stages Questionnaires® (ASQ-3™). Risk of autism spectrum disorder (ASD), parental distress, sociodemographic and clinical characteristics were also evaluated.
View Article and Find Full Text PDFJAMA Netw Open
August 2025
Department of Pediatrics, University of Minnesota, Minneapolis.
Importance: Disparities exist in age of diagnosis and prevalence of autism spectrum disorder (ASD) for female compared with male children. Correcting for sources of bias is critical for improving equitable ASD identification.
Objective: To determine whether sex differences exist in measurement of ASD symptoms using the Autism Diagnostic Observation Schedule (ADOS) among young children at high familial likelihood (HFL) and low familial likelihood (LFL) of ASD.