ArticleProceedings of the National Academy of Sciences of the United States of America2024
A hierarchy index for networks in the brain reveals a complex entangled organizational structure.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Community detection for directed networks revisited using bimodularity.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Review
- Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications.Frontiers in cellular neuroscience · 2025Review
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3 authors.
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Abstract
Networks involved in information processing often have their nodes arranged hierarchically, with the majority of connections occurring in adjacent levels. However, despite being an intuitively appealing concept, the hierarchical organization of large networks, such as those in the brain, is difficult to identify, especially in absence of additional information beyond that provided by the connectome. In this paper, we propose a framework to uncover the hierarchical structure of a given network, that identifies the nodes occupying each level as well as the sequential order of the levels. It involves optimizing a metric that we use to quantify the extent of hierarchy present in a network. Applying this measure to various brain networks, ranging from the nervous system of the nematode
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