ArticlePLoS computational biology2022
Strength-dependent perturbation of whole-brain model working in different regimes reveals the role of fluctuations in brain dynamics.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- The alpha rhythm: from physiology to behavior.Physiological reviews · 2026Review
- Perturbations of whole-brain model reveal critical areas related to relapse of early psychosis.Network neuroscience (Cambridge, Mass.) · 2026Article
- Stable individualized brain computing model informed by spatiotemporal co-activity patterns.PLoS computational biology · 2025Article
- Modeling macroscopic brain dynamics with brain-inspired computing architecture.Nature communications · 2025Article
- Cortical connectivity, local dynamics and stability correlates of global conscious states.Communications biology · 2025Article
- Nonequilibrium brain dynamics elicited as the origin of perturbative complexity.PLoS computational biology · 2025Article
- Neural models for detection and classification of brain states and transitions.Communications biology · 2025Article
- Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder.Molecular psychiatry · 2025Article
- Understanding Altered Dynamics in Cocaine Use Disorder Through State Transitions Mediated by Artificial Perturbations.Brain sciences · 2025Article
- Modelling low-dimensional interacting brain networks reveals organising principle in human cognition.Network neuroscience (Cambridge, Mass.) · 2025Article
- Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.PLoS computational biology · 2024Article
- The Hopf whole-brain model and its linear approximation.Scientific reports · 2024Article
- Generative whole-brain dynamics models from healthy subjects predict functional alterations in stroke at the level of individual patients.Brain communications · 2024Article
- A new causal centrality measure reveals the prominent role of subcortical structures in the causal architecture of the extended default mode network.Brain structure & function · 2023Article
- Article
- Noise improves the association between effects of local stimulation and structural degree of brain networks.PLoS computational biology · 2023Article
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5 authors.
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Abstract
Despite decades of research, there is still a lack of understanding of the role and generating mechanisms of the ubiquitous fluctuations and oscillations found in recordings of brain dynamics. Here, we used whole-brain computational models capable of presenting different dynamical regimes to reproduce empirical data's turbulence level. We showed that the model's fluctuations regime fitted to turbulence more faithfully reproduces the empirical functional connectivity compared to oscillatory and noise regimes. By applying global and local strength-dependent perturbations and subsequently measuring the responsiveness of the model, we revealed each regime's computational capacity demonstrating that brain dynamics is shifted towards fluctuations to provide much-needed flexibility. Importantly, fluctuation regime stimulation in a brain region within a given resting state network modulates that network, aligned with previous empirical and computational studies. Furthermore, this framework generates specific, testable empirical predictions for human stimulation studies using strength-dependent rather than constant perturbation. Overall, the whole-brain models fitted to the level of empirical turbulence together with functional connectivity unveil that the fluctuation regime best captures empirical data, and the strength-dependent perturbative framework demonstrates how this regime provides maximal flexibility to the human brain.
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