ArticleProceedings of the IEEE. Institute of Electrical and Electronics Engineers2018
Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function.
Article in Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- Spatial development of brain networks during the first six postnatal months.Communications biology · 2025Article
- Flexibility of Brain Networks May Curtail Cognitive Consequences of Poor Sleep.Human brain mapping · 2025Article
- Musicians' brains at rest: multilayer network analysis of magnetoencephalography data.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Phenotyping to predict 12-month health outcomes of older general medicine patients.Aging clinical and experimental research · 2025Article
- Dynamic reconfiguration of brain functional networks in world class gymnasts: a resting-state functional MRI study.Brain communications · 2025Article
- Community detection in the human connectome: Method types, differences and their impact on inference.Human brain mapping · 2024Article
- Disordered network structure and function in dystonia: pathological connectivity vs. adaptive responses.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Increased flexibility of brain dynamics in patients with multiple sclerosis.Brain communications · 2023Article
- A practical two-sample test for weighted random graphs.Journal of applied statistics · 2023Article
- Reconfigurations in brain networks upon awakening from slow wave sleep: Interventions and implications in neural communication.Network neuroscience (Cambridge, Mass.) · 2023Article
- Dual communities in spatial networks.Nature communications · 2022Article
- Micro-scale functional modules in the human temporal lobe.Nature communications · 2022Article
- Mapping the Nicotinic Acetylcholine Receptor Nanocluster Topography at the Cell Membrane with STED and STORM Nanoscopies.International journal of molecular sciences · 2022Article
- Brain-wide visual habituation networks in wild type and fmr1 zebrafish.Nature communications · 2022Article
- A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge.Frontiers in psychology · 2022Review
- Brain network dynamics codify heterogeneity in seizure evolution.Brain communications · 2022Article
- Investigating the spectral features of the brain meso-scale structure at rest.Human brain mapping · 2021Article
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Authors and funding
5 authors.
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Abstract
The human brain can be represented as a graph in which neural units such as cells or small volumes of tissue are heterogeneously connected to one another through structural or functional links. Brain graphs are parsimonious representations of neural systems that have begun to offer fundamental insights into healthy human cognition, as well as its alteration in disease. A critical open question in network neuroscience lies in how neural units cluster into densely interconnected groups that can provide the coordinated activity that is characteristic of perception, action, and adaptive behaviors. Tools that have proven particularly useful for addressing this question are community detection approaches, which can identify communities or modules: groups of neural units that are densely interconnected with other units in their own group but sparsely interconnected with units in other groups. In this paper, we describe a common community detection algorithm known as
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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.