ArticleCerebral cortex (New York, N.Y. : 1991)2020
Structure-Function Connectomics Reveals Aberrant Developmental Trajectory Occurring at Preadolescence in the Autistic Brain.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 41 citations in OpenAlex.
- Brain aging patterns among nine neurological disorders: A case-control study.PLoS medicine · 2026Article
- Identifying Two Autism Biotypes Using Multi-Task Learning Derived Individual-Specific Functional Connectivity.Journal of autism and developmental disorders · 2026Article
- Age-stratified multimodal MRI and machine learning to explore autism-related brain characteristics in youth.Frontiers in psychiatry · 2026Article
- Machine-learning classification of children and adolescents with ASD using resting-state frequency-specific intrinsic activity.Frontiers in neuroscience · 2026Article
- Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures.Nature communications · 2025Article
- Diffusion trajectory of atypical morphological development in autism spectrum disorder.Communications biology · 2025Article
- Combining functional, structural, and morphological networks for multimodal classification of developing autistic brains.Brain imaging and behavior · 2025Article
- White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study.Molecular autism · 2025Article
- Structure-function coupling in white matter uncovers the hypoconnectivity in autism spectrum disorder.Molecular autism · 2024Article
- Open datasets and code for multi-scale relations on structure, function and neuro-genetics in the human brain.Scientific data · 2024Article
- Reduced covariation between brain morphometry and local spontaneous activity in young children with ASD.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain.Molecular autism · 2023Article
- Altered default mode network causal connectivity patterns in autism spectrum disorder revealed by Liang information flow analysis.Human brain mapping · 2023Article
- Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder.Molecular autism · 2022Article
- Mapping brain functional and structural abnormities in autism spectrum disorder: moving toward precision treatment.Psychoradiology · 2022Review
- High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model.PLoS computational biology · 2022Article
- Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis.Frontiers in neuroscience · 2022Article
- Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder.Frontiers in psychiatry · 2022Article
- Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients.Frontiers in aging neuroscience · 2022Article
- Predicting brain age during typical and atypical development based on structural and functional neuroimaging.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 4 countries.
Funding
Abstract
Accumulating neuroimaging evidence shows that age estimation obtained from brain connectomics reflects the level of brain maturation along with neural development. It is well known that autism spectrum disorder (ASD) alters neurodevelopmental trajectories of brain connectomics, but the precise relationship between chronological age (ChA) and brain connectome age (BCA) during development in ASD has not been addressed. This study uses neuroimaging data collected from 50 individuals with ASD and 47 age- and gender-matched typically developing controls (TDCs; age range: 5-18 years). Both functional and structural connectomics were assessed using resting-state functional magnetic resonance imaging and diffusion tensor imaging data from the Autism Brain Imaging Data Exchange repository. For each participant, BCA was estimated from structure-function connectomics through linear support vector regression. We found that BCA matched well with ChA in TDC children and adolescents, but not in ASD. In particular, our findings revealed that individuals with ASD exhibited accelerated brain maturation in youth, followed by a delay of brain development starting at preadolescence. Our results highlight the critical role of BCA in understanding aberrant developmental trajectories in ASD and provide the new insights into the pathophysiological mechanisms of this disorder.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.