ArticleFrontiers in computational neuroscience2021
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep.
Article in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 31 citations in OpenAlex.
- Spatially structured heterogeneity shapes large-scale cortical dynamics in a model of the human cortex.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Sleep slow oscillation emergence on the scalp as a renewal point process.PLoS computational biology · 2026Article
- Disorder-specific alterations of transient oscillatory dynamics during sleep across cortical and subcortical networks.Scientific reports · 2026Article
- Global and local nature of cortical slow waves.iScience · 2025Article
- A computational approach to evaluate how molecular mechanisms impact large-scale brain activity.Nature computational science · 2025Article
- On the robustness of the emergent spatiotemporal dynamics in biophysically realistic and phenomenological whole-brain models at multiple network resolutions.Frontiers in network physiology · 2025Article
- Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.Communications biology · 2024Article
- Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.bioRxiv : the preprint server for biology · 2024Article
- Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.PLoS computational biology · 2024Article
- Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.bioRxiv : the preprint server for biology · 2024Article
- High-Density Exploration of Activity States in a Multi-Area Brain Model.Neuroinformatics · 2024Article
- Exploring global and local processes underlying alterations in resting-state functional connectivity and dynamics in schizophrenia.Frontiers in psychiatry · 2024Article
- From macro to micro: slow-wave sleep and its pivotal health implications.Frontiers in sleep · 2024Review
- Improving the detection of sleep slow oscillations in electroencephalographic data.Frontiers in neuroinformatics · 2024Article
- Modelling the modulation of cortical Up-Down state switching by astrocytes.PLoS computational biology · 2022Article
- Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model.Frontiers in computational neuroscience · 2022Article
- Nonlinear optimal control of a mean-field model of neural population dynamics.Frontiers in computational neuroscience · 2022Article
- Scale-free and oscillatory spectral measures of sleep stages in humans.Frontiers in neuroinformatics · 2022Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During slow-wave sleep, the brain is in a self-organized regime in which slow oscillations (SOs) between up- and down-states travel across the cortex. While an isolated piece of cortex can produce SOs, the brain-wide propagation of these oscillations are thought to be mediated by the long-range axonal connections. We address the mechanism of how SOs emerge and recruit large parts of the brain using a whole-brain model constructed from empirical connectivity data in which SOs are induced independently in each brain area by a local adaptation mechanism. Using an evolutionary optimization approach, good fits to human resting-state fMRI data and sleep EEG data are found at values of the adaptation strength close to a bifurcation where the model produces a balance between local and global SOs with realistic spatiotemporal statistics. Local oscillations are more frequent, last shorter, and have a lower amplitude. Global oscillations spread as waves of silence across the undirected brain graph, traveling from anterior to posterior regions. These traveling waves are caused by heterogeneities in the brain network in which the connection strengths between brain areas determine which areas transition to a down-state first, and thus initiate traveling waves across the cortex. Our results demonstrate the utility of whole-brain models for explaining the origin of large-scale cortical oscillations and how they are shaped by the connectome.
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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.