ArticleeNeuro
Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- Neural population models for EEG: From Canonical models to alternative model structures.PLoS computational biology · 2026Article
- Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics.PLoS computational biology · 2026Article
- Integrated Classification of Cortical Cells and Quantitative Projectomic Mapping Unveil Organizational Principles of Brain-Wide Connectomes at Single Cell Level.bioRxiv : the preprint server for biology · 2025Article
- Precision non-invasive brain stimulation: anJournal of neural engineering · 2025Article
- Transient destabilization of whole brain dynamics induced by N,N-Dimethyltryptamine (DMT).Communications biology · 2025Article
- Understanding Altered Dynamics in Cocaine Use Disorder Through State Transitions Mediated by Artificial Perturbations.Brain sciences · 2025Article
- Analyzing the brain's dynamic response to targeted stimulation using generative modeling.Network neuroscience (Cambridge, Mass.) · 2025Review
- The alterations of repetitive transcranial magnetic stimulation on the energy landscape of resting-state networks differ across the human cortex.Human brain mapping · 2024Article
- Noise improves the association between effects of local stimulation and structural degree of brain networks.PLoS computational biology · 2023Article
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- A deep generative adversarial network capturing complex spiral waves in disinhibited circuits of the cerebral cortex.BMC neuroscience · 2023Article
- Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling.Computational and structural biotechnology journal · 2023Review
- The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations.Network neuroscience (Cambridge, Mass.) · 2023Article
- Strength-dependent perturbation of whole-brain model working in different regimes reveals the role of fluctuations in brain dynamics.PLoS computational biology · 2022Article
- Normalizing the brain connectome for communication through synchronization.Network neuroscience (Cambridge, Mass.) · 2022Article
- Simulating epileptic seizures using the bidomain model.Scientific reports · 2022Article
- The Pathobiology of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: The Case for Neuroglial Failure.Frontiers in cellular neuroscience · 2022Article
- It's about time: Linking dynamical systems with human neuroimaging to understand the brain.Network neuroscience (Cambridge, Mass.) · 2022Article
- A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics.Frontiers in computational neuroscience · 2022Article
- A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain.Frontiers in neuroinformatics · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When the brain is stimulated, for example, by sensory inputs or goal-oriented tasks, the brain initially responds with activities in specific areas. The subsequent pattern formation of functional networks is constrained by the structural connectivity (SC) of the brain. The extent to which information is processed over short- or long-range SC is unclear. Whole-brain models based on long-range axonal connections, for example, can partly describe measured functional connectivity dynamics at rest. Here, we study the effect of SC on the network response to stimulation. We use a human whole-brain network model comprising long- and short-range connections. We systematically activate each cortical or thalamic area, and investigate the network response as a function of its short- and long-range SC. We show that when the brain is operating at the edge of criticality, stimulation causes a cascade of network recruitments, collapsing onto a smaller space that is partly constrained by SC. We found both short- and long-range SC essential to reproduce experimental results. In particular, the stimulation of specific areas results in the activation of one or more resting-state networks. We suggest that the stimulus-induced brain activity, which may indicate information and cognitive processing, follows specific routes imposed by structural networks explaining the emergence of functional networks. We provide a lookup table linking stimulation targets and functional network activations, which potentially can be useful in diagnostics and treatments with brain stimulation.
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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.