ArticleNetwork neuroscience (Cambridge, Mass.)2017
From static to temporal network theory: Applications to functional brain connectivity.
Article in Network neuroscience (Cambridge, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Temporal network analysis in systems biology: concepts, inference, and validation.Frontiers in bioinformatics · 2026Review
- Temporal network instability and low-frequency overconnectivity underlie disorders of consciousness in severe brain injury.Scientific reports · 2025Article
- Restless reachability problems in temporal graphs.Knowledge and information systems · 2025Article
- Provincial and connector qualities of somatosensory brain network hubs in bipolar disorder.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Sequential stacking link prediction algorithms for temporal networks.Nature communications · 2024Article
- Temporal and spatial variability of dynamic microstate brain network in disorders of consciousness.CNS neuroscience & therapeutics · 2024Article
- Unveiling hidden sources of dynamic functional connectome through a novel regularized blind source separation approach.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- On null models for temporal small-worldness in brain dynamics.Network neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Multilayer network alignment based on topological assessment via embeddings.BMC bioinformatics · 2023Article
- A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks.Entropy (Basel, Switzerland) · 2023Article
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
- Temporal networks in biology and medicine: a survey on models, algorithms, and tools.Network modeling and analysis in health informatics and bioinformatics · 2023Review
- Dynamic structure of motor cortical neuron coactivity carries behaviorally relevant information.Network neuroscience (Cambridge, Mass.) · 2023Article
- Brain network segregation and integration during painful thermal stimulation.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Temporal exponential random graph models of longitudinal brain networks after stroke.Journal of the Royal Society, Interface · 2022Article
- Multiple spatial scale mapping of time-resolved brain network reconfiguration during evoked pain in patients with rheumatoid arthritis.Frontiers in neuroscience · 2022Article
- From calcium imaging to graph topology.Network neuroscience (Cambridge, Mass.) · 2022Review
- Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex.Journal of psychiatry & neuroscience : JPN · 2021Article
- Introducing the novel Cytoscape app TimeNexus to analyze time-series data using temporal MultiLayer Networks (tMLNs).Scientific reports · 2021Article
Corrections and comments
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3 authors.
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Abstract
Network neuroscience has become an established paradigm to tackle questions related to the functional and structural connectome of the brain. Recently, interest has been growing in examining the temporal dynamics of the brain's network activity. Although different approaches to capturing fluctuations in brain connectivity have been proposed, there have been few attempts to quantify these fluctuations using temporal network theory. This theory is an extension of network theory that has been successfully applied to the modeling of dynamic processes in economics, social sciences, and engineering article but it has not been adopted to a great extent within network neuroscience. The objective of this article is twofold: (i) to present a detailed description of the central tenets of temporal network theory and describe its measures, and; (ii) to apply these measures to a resting-state fMRI dataset to illustrate their utility. Furthermore, we discuss the interpretation of temporal network theory in the context of the dynamic functional brain connectome. All the temporal network measures and plotting functions described in this article are freely available as the Python package Teneto.
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