ArticleHuman brain mapping2019
Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed.
- Divergent Multimodal Age-Association Profiles Across the Human Brain.Nature communications · 2026Article
- Positive Interpretation of Emotional Ambiguity Across Development: LC-dlPFC Circuitry.bioRxiv : the preprint server for biology · 2026Article
- A Lightweight ScaleDense-Transformer Framework with Auxiliary Quantum-Inspired Bottleneck Module for Whole-Lifespan Brain Age Prediction.Brain sciences · 2026Article
- Brain Structural Covariance Networks in Long-Term First-Person Shooter and Multiplayer Online Battle Arena Players: Cross-Sectional Study.JMIR serious games · 2026Article
- Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR Study.Molecular psychiatry · 2026Article
- Impaired brain intrinsic connectivity in long COVID during cognitive exertion revealed by independent component analysis.Scientific reports · 2026Article
- Similar minds age alike: an MRI similarity approach for predicting age-related cognitive decline.npj aging · 2026Article
- Short-term intrinsic connectivity changes induced by cognitive exertion in healthy participants.Frontiers in neuroscience · 2026Article
- Brain Microstructural Alterations in Children Post-COVID-19 Infection Through VBM, SBM, and Structural Covariance Network Analysis.Brain and behavior · 2025Article
- Multimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption.Molecular psychiatry · 2025Article
- Modifying modularity: aerobic exercise improves functional connectivity in breast cancer survivors.Frontiers in cognition · 2024Article
- Evaluation of individual-based morphological brain network alterations in children with attention-deficit/hyperactivity disorder: a multi-method investigation.European child & adolescent psychiatry · 2023Article
- Brain structure and working memory adaptations associated with maturation and aging in mice.Frontiers in aging neuroscience · 2023Article
- Reorganization of the Brain Structural Covariance Network in Ischemic Moyamoya Disease Revealed by Graph Theoretical Analysis.Frontiers in aging neuroscience · 2022Article
- Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Developmental pattern of the cortical topology in high-functioning individuals with autism spectrum disorder.Human brain mapping · 2021Article
- Phenotype Network and Brain Structural Covariance Network of Major Depression.Advances in experimental medicine and biology · 2021Article
- Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium.Brain : a journal of neurology · 2020Article
- Effects of semantic categorization strategy training on episodic memory in children and adolescents.PloS one · 2020Article
- Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships.Human brain mapping · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Recent studies have revealed that brain development is marked by morphological synchronization across brain regions. Regions with shared growth trajectories form structural covariance networks (SCNs) that not only map onto functionally identified cognitive systems, but also correlate with a range of cognitive abilities across the lifespan. Despite advances in within-network covariance examinations, few studies have examined lifetime patterns of structural relationships across known SCNs. In the current study, we used a big-data framework and a novel application of covariate-adjusted restricted cubic spline regression to identify volumetric network trajectories and covariance patterns across 13 networks (n = 5,019, ages = 7-90). Our findings revealed that typical development and aging are marked by significant shifts in the degree that networks preferentially coordinate with one another (i.e., modularity). Specifically, childhood showed higher modularity of networks compared to adolescence, reflecting a shift over development from segregation to desegregation of inter-network relationships. The shift from young to middle adulthood was marked by a significant decrease in inter-network modularity and organization, which continued into older adulthood, potentially reflecting changes in brain organizational efficiency with age. This study is the first to characterize brain development and aging in terms of inter-network structural covariance across the lifespan.
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