ArticleHuman brain mapping2023
Single-subject cortical morphological brain networks across the adult lifespan.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Similar minds age alike: an MRI similarity approach for predicting age-related cognitive decline.npj aging · 2026Article
- Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress.Network neuroscience (Cambridge, Mass.) · 2026Article
- MIND versus MSN: A systematic evaluation of test-retest reliability and age sensitivity for T1-weighted structural similarity networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Diminished spatial dynamics and maladaptive spatial complexity link resting brain network disruption to cognition in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Aberrant Cortical Morphological Networks in First-Episode Schizophrenia.Schizophrenia bulletin · 2025Article
- Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders.Brain : a journal of neurology · 2025Review
- The brain cortical similarity network: Development and sensitivity to early life stress in a rat model.bioRxiv : the preprint server for biology · 2025Article
- Neural Plasticity Induced by Working Memory Training: Insights From Cortical Microstructure and Transcriptional Profiles.CNS neuroscience & therapeutics · 2025Article
- Structural signatures of language reorganization after left hemispherotomy in patients with Rasmussen's encephalitis.Brain structure & function · 2025Article
- Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade.Schizophrenia bulletin · 2025Review
- Brain connectome from neuronal morphology.Network neuroscience (Cambridge, Mass.) · 2025Article
- Cortical Morphological Networks Differ Between Gyri and Sulci.Neuroscience bulletin · 2025Article
- Brain network predictors of changes in symptoms and serum BDNF following antidepressant treatment with escitalopram and Yueju Pill in major depressive disorder: a randomised, double-blind, placebo-controlled pilot study.General psychiatry · 2025Article
- Cortical morphometric similarity patterns and molecular signatures across ischemic stroke recovery.Frontiers in neurology · 2025Article
- Single-subject cortical morphological brain networks across the adult lifespan.Human brain mapping · 2023Article
- Aberrant single-subject morphological brain networks in first-episode, treatment-naive adolescents with major depressive disorder.Psychoradiology · 2023Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Age-related changes in focal cortical morphology have been well documented in previous literature; however, how interregional coordination patterns of the focal cortical morphology reorganize with advancing age is not well established. In this study, we performed a comprehensive analysis of the topological changes in single-subject morphological brain networks across the adult lifespan. Specifically, we constructed four types of single-subject morphological brain networks for 650 participants (aged from 18 to 88 years old), and characterized their topological organization using graph-based network measures. Age-related changes in the network measures were examined via linear, quadratic, and cubic models. We found profound age-related changes in global small-world attributes and efficiency, local nodal centralities, and interregional similarities of the single-subject morphological brain networks. The age-related changes were mainly embodied in cortical thickness networks, involved in frontal regions and highly connected hubs, concentrated on short-range connections, characterized by linear changes, and susceptible to connections between limbic, frontoparietal, and ventral attention networks. Intriguingly, nonlinear (i.e., quadratic or cubic) age-related changes were frequently found in the insula and limbic regions, and age-related cubic changes preferred long-range morphological connections. Finally, we demonstrated that the morphological similarity in cortical thickness between two frontal regions mediated the relationship between age and cognition measured by Cattell scores. Taken together, these findings deepen our understanding of adaptive changes of the human brain with advancing age, which may account for interindividual variations in behaviors and cognition.
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