ArticleJournal of the Royal Society, Interface2018
Multiplex core-periphery organization of the human connectome.
Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 61 citations in OpenAlex.
- Musicians' brains at rest: multilayer network analysis of magnetoencephalography data.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple Sclerosis.Human brain mapping · 2025Article
- Linking structural and functional changes during aging using multilayer brain network analysis.Communications biology · 2024Article
- Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Graph propagation network captures individual specificity of the relationship between functional and structural connectivity.Human brain mapping · 2023Article
- Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis.NeuroImage. Clinical · 2023Article
- Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging.Frontiers in neuroimaging · 2023Article
- Applying multilayer analysis to morphological, structural, and functional brain networks to identify relevant dysfunction patterns.Network neuroscience (Cambridge, Mass.) · 2022Article
- A perturbative approach to study information communication in brain networks.Network neuroscience (Cambridge, Mass.) · 2022Article
- The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again.Entropy (Basel, Switzerland) · 2021Article
- The structural architecture of international industry networks in the global economy.PloS one · 2021Article
- Persistence of information flow: A multiscale characterization of human brain.Network neuroscience (Cambridge, Mass.) · 2021Article
- Structural determinants of dynamic fluctuations between segregation and integration on the human connectome.Communications biology · 2020Article
- Network architectures supporting learnability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Estimating degree-degree correlation and network cores from the connectivity of high-degree nodes in complex networks.Scientific reports · 2020Article
- Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus.Network neuroscience (Cambridge, Mass.) · 2020Article
- Mapping the community structure of the rat cerebral cortex with weighted stochastic block modeling.Brain structure & function · 2020Article
- The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability.NeuroImage · 2019Article
- Disrupted core-periphery structure of multimodal brain networks in Alzheimer's disease.Network neuroscience (Cambridge, Mass.) · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
What is the core of the human brain is a fundamental question that has been mainly addressed by studying the anatomical connections between differently specialized areas, thus neglecting the possible contributions from their functional interactions. While many methods are available to identify the core of a network when connections between nodes are all of the same type, a principled approach to define the core when multiple types of connectivity are allowed is still lacking. Here, we introduce a general framework to define and extract the core-periphery structure of multi-layer networks by explicitly taking into account the connectivity patterns at each layer. We first validate our algorithm on synthetic networks of different size and density, and with tunable overlap between the cores at different layers. We then use our method to merge information from structural and functional brain networks, obtaining in this way an integrated description of the core of the human connectome. Results confirm the role of the main known cortical and subcortical hubs, but also suggest the presence of new areas in the sensori-motor cortex that are crucial for intrinsic brain functioning. Taken together these findings provide fresh evidence on a fundamental question in modern neuroscience and offer new opportunities to explore the mesoscale properties of multimodal brain networks.
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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.