ArticlePLoS computational biology2015
General relationship of global topology, local dynamics, and directionality in large-scale brain networks.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain network properties in chronic pain-a systematic review and meta-analysis of graph-based connectivity metrics.Frontiers in neuroscience · 2025Pooled it
- Sub-second fluctuations between top-down and bottom-up modes distinguish diverse human brain states.Current biology : CB · 2026Article
- Windows to Consciousness: The Role of Fronto-Parietal Connectivity in Anesthesia-Induced Unconsciousness.Current neuropharmacology · 2026Review
- Network Mechanisms Underlying the Regional Diversity of Variance and Time Scales of the Brain's Spontaneous Activity Fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Lesion-Induced Changes to the Network Controllability of the Right Pars Triangularis in Aphasia.Neurobiology of language (Cambridge, Mass.) · 2025Article
- General relationship of local topologies, global dynamics, and bifurcation in cellular networks.NPJ systems biology and applications · 2024Article
- Anesthesia and the neurobiology of consciousness.Neuron · 2024Review
- Human connectome topology directs cortical traveling waves and shapes frequency gradients.Nature communications · 2024Article
- Linking structural and functional changes during aging using multilayer brain network analysis.Communications biology · 2024Article
- The Hopf whole-brain model and its linear approximation.Scientific reports · 2024Article
- Network Hyperexcitability in Early Alzheimer's Disease: Is Functional Connectivity a Potential Biomarker?Brain topography · 2023Article
- Common and Distinct Functional Connectivity of the Orbitofrontal Cortex in Depression and Schizophrenia.Brain sciences · 2023Article
- Comparing individual and group-level simulated neurophysiological brain connectivity using the Jansen and Rit neural mass model.Network neuroscience (Cambridge, Mass.) · 2023Article
- Cross-frequency coupling between slow harmonics via the real brainstem oscillators: An in vivo animal study.PloS one · 2023Article
- Extracting electrophysiological correlates of functional magnetic resonance imaging data using the canonical polyadic decomposition.Human brain mapping · 2022Article
- Normalizing the brain connectome for communication through synchronization.Network neuroscience (Cambridge, Mass.) · 2022Article
- The brainstem connectome database.Scientific data · 2022Article
- Repurposing Propofol as a Prognostic Probe for Return of Consciousness.American journal of respiratory and critical care medicine · 2022Article
- Age-Related Changes in Topological Properties of Individual Brain Metabolic Networks in Rats.Frontiers in aging neuroscience · 2022Article
- Paradoxical markers of conscious levels: Effects of propofol on patients in disorders of consciousness.Frontiers in human neuroscience · 2022Article
11 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
Abstract
The balance of global integration and functional specialization is a critical feature of efficient brain networks, but the relationship of global topology, local node dynamics and information flow across networks has yet to be identified. One critical step in elucidating this relationship is the identification of governing principles underlying the directionality of interactions between nodes. Here, we demonstrate such principles through analytical solutions based on the phase lead/lag relationships of general oscillator models in networks. We confirm analytical results with computational simulations using general model networks and anatomical brain networks, as well as high-density electroencephalography collected from humans in the conscious and anesthetized states. Analytical, computational, and empirical results demonstrate that network nodes with more connections (i.e., higher degrees) have larger amplitudes and are directional targets (phase lag) rather than sources (phase lead). The relationship of node degree and directionality therefore appears to be a fundamental property of networks, with direct applicability to brain function. These results provide a foundation for a principled understanding of information transfer across networks and also demonstrate that changes in directionality patterns across states of human consciousness are driven by alterations of brain network topology.
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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.