ArticlePLoS computational biology2019
Synchronization dependent on spatial structures of a mesoscopic whole-brain network.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- A 3D-1D-0D multiscale model of the neuro-glial-vascular unit for synaptic and vascular dynamics in the dorsal vagal complex.Journal of mathematical biology · 2025Article
- Individualized mouse brain network models produce asymmetric patterns of functional connectivity after simulated traumatic injury.Network neuroscience (Cambridge, Mass.) · 2025Article
- Disruption of global brain network topology in amnestic MCI: evidence from multimodal DTI and fMRI.Frontiers in neuroscience · 2025Article
- Spatially integrated cortico-subcortical tracing data for analyses of rodent brain topographical organization.Scientific data · 2024Article
- Differential Encoding of Two-Tone Harmonics in the Male and Female Mouse Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Stimulus type shapes the topology of cellular functional networks in mouse visual cortex.Nature communications · 2024Article
- Variation in spatial dependencies across the cortical mantle discriminates the functional behaviour of primary and association cortex.Nature communications · 2023Article
- Stimulus-dependent functional network topology in mouse visual cortex.bioRxiv : the preprint server for biology · 2023Article
- Critical scaling of whole-brain resting-state dynamics.Communications biology · 2023Article
- Cross-frequency coupling between slow harmonics via the real brainstem oscillators: An in vivo animal study.PloS one · 2023Article
- Edges in brain networks: Contributions to models of structure and function.Network neuroscience (Cambridge, Mass.) · 2022Review
- Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex.Frontiers in computational neuroscience · 2022Article
- Neural Circuits, Microtubule Processing, Brain's Electromagnetic Field-Components of Self-Awareness.Brain sciences · 2021Review
- Hydra vulgaris shows stable responses to thermal stimulation despite large changes in the number of neurons.iScience · 2021Article
- Highlights from the Era of Open Source Web-Based Tools.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Review
- Directed functional and structural connectivity in a large-scale model for the mouse cortex.Network neuroscience (Cambridge, Mass.) · 2021Article
- Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data.Neuroinformatics · 2020Article
- Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience.Frontiers in systems neuroscience · 2020Article
- Estimating sparse functional brain networks with spatial constraints for MCI identification.PloS one · 2020Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Complex structural connectivity of the mammalian brain is believed to underlie the versatility of neural computations. Many previous studies have investigated properties of small subsystems or coarse connectivity among large brain regions that are often binarized and lack spatial information. Yet little is known about spatial embedding of the detailed whole-brain connectivity and its functional implications. We focus on closing this gap by analyzing how spatially-constrained neural connectivity shapes synchronization of the brain dynamics based on a system of coupled phase oscillators on a mammalian whole-brain network at the mesoscopic level. This was made possible by the recent development of the Allen Mouse Brain Connectivity Atlas constructed from viral tracing experiments together with a new mapping algorithm. We investigated whether the network can be compactly represented based on the spatial dependence of the network topology. We found that the connectivity has a significant spatial dependence, with spatially close brain regions strongly connected and distal regions weakly connected, following a power law. However, there are a number of residuals above the power-law fit, indicating connections between brain regions that are stronger than predicted by the power-law relationship. By measuring the sensitivity of the network order parameter, we show how these strong connections dispersed across multiple spatial scales of the network promote rapid transitions between partial synchronization and more global synchronization as the global coupling coefficient changes. We further demonstrate the significance of the locations of the residual connections, suggesting a possible link between the network complexity and the brain's exceptional ability to swiftly switch computational states depending on stimulus and behavioral context.
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