ArticleScientific reports2018
Weighted Stochastic Block Models of the Human Connectome across the Life Span.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
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- Multiscale connectivity framework for working memory network in paediatric acute lymphoblastic leukaemia survivors.Brain communications · 2026Article
- Benchmarking overlapping community detection methods for applications in human connectomics.Network neuroscience (Cambridge, Mass.) · 2026Article
- Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.bioRxiv : the preprint server for biology · 2025Article
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- Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics.Statistics in medicine · 2025Article
- A Generalized Bayesian Stochastic Block Model for Microbiome Community Detection.Statistics in medicine · 2025Article
- Sex-specific topological structure associated with dementia via latent space estimation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- A Principled Framework to Assess the Information-Theoretic Fitness of Brain Functional Sub-Circuits.Mathematics (Basel, Switzerland) · 2024Article
- Deep-learning-optimized microstate network analysis for early Parkinson's disease with mild cognitive impairment.Cognitive neurodynamics · 2024Article
- Hierarchical communities in the larvalProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Functional network modules overlap and are linked to interindividual connectome differences during human brain development.PLoS biology · 2024Article
- A principled framework to assess the information-theoretic fitness of brain functional sub-circuits.ArXiv · 2024Article
- A generative model of the connectome with dynamic axon growth.bioRxiv : the preprint server for biology · 2024Article
- Cortical timescales and the modular organization of structural and functional brain networks.Human brain mapping · 2024Article
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- A generative model of the connectome with dynamic axon growth.Network neuroscience (Cambridge, Mass.) · 2024Article
- Brain tumour genetic network signatures of survival.Brain : a journal of neurology · 2023Article
- Graph lesion-deficit mapping of fluid intelligence.Brain : a journal of neurology · 2023Article
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Authors and funding
4 authors.
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Abstract
The human brain can be described as a complex network of anatomical connections between distinct areas, referred to as the human connectome. Fundamental characteristics of connectome organization can be revealed using the tools of network science and graph theory. Of particular interest is the network's community structure, commonly identified by modularity maximization, where communities are conceptualized as densely intra-connected and sparsely inter-connected. Here we adopt a generative modeling approach called weighted stochastic block models (WSBM) that can describe a wider range of community structure topologies by explicitly considering patterned interactions between communities. We apply this method to the study of changes in the human connectome that occur across the life span (between 6-85 years old). We find that WSBM communities exhibit greater hemispheric symmetry and are spatially less compact than those derived from modularity maximization. We identify several network blocks that exhibit significant linear and non-linear changes across age, with the most significant changes involving subregions of prefrontal cortex. Overall, we show that the WSBM generative modeling approach can be an effective tool for describing types of community structure in brain networks that go beyond modularity.
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