ArticleScientific reports2018
Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Aperiodic and Hurst EEG exponents across early human brain development: A systematic review.Developmental cognitive neuroscience · 2024Pooled it
- Pathway-dependent brain stimulation responses indicate motion processing integrity after stroke.Brain : a journal of neurology · 2025Trial
- Cortical functional connectivity in mouse models of early blindness: enucleation vs. anophthalmia.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- The Influence of M1 and DLPFC iTBS on BCI Performance: A TMS and fNIRS Study.Translational stroke research · 2026Article
- Dimensionality reduction of quantitative EEG and clinical profiles uncover associations with monogenic neurodevelopmental phenotypes in SNAREopathies.Frontiers in neuroscience · 2025Article
- Role of homeostatic plasticity in critical brain dynamics following focal stroke lesions.Scientific reports · 2024Article
- Virtual neural network-guided optimization of non-invasive brain stimulation in Alzheimer's disease.PLoS computational biology · 2024Article
- Multi-modal and multi-model interrogation of large-scale functional brain networks.NeuroImage · 2023Article
- Extensive topographic remapping and functional sharpening in the adult rat visual pathway upon first visual experience.PLoS biology · 2023Article
- Investigating structural and functional aspects of the brain's criticality in stroke.Scientific reports · 2023Article
- Anomalous Self-Organization in Active Piles.Entropy (Basel, Switzerland) · 2023Article
- Recovery of neural dynamics criticality in personalized whole-brain models of stroke.Nature communications · 2022Article
- Disentangling the critical signatures of neural activity.Scientific reports · 2022Article
- Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models.PLoS computational biology · 2021Article
- Prognostic Structural Neural Markers of MRI in Response to Mechanical Thrombectomy for Basilar Artery Occlusion.Frontiers in neurology · 2021Article
- The thermodynamic brain and the evolution of intellect: the role of mental energy.Cognitive neurodynamics · 2020Review
- Critical synchronization dynamics of the Kuramoto model on connectome and small world graphs.Scientific reports · 2019Article
- The road ahead in clinical network neuroscience.Network neuroscience (Cambridge, Mass.) · 2019Review
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Authors and funding
5 authors at 2 institutions in 3 countries.
Funding
Abstract
Understanding the relationship between large-scale structural and functional brain networks remains a crucial issue in modern neuroscience. Recently, there has been growing interest in investigating the role of homeostatic plasticity mechanisms, across different spatiotemporal scales, in regulating network activity and brain functioning against a wide range of environmental conditions and brain states (e.g., during learning, development, ageing, neurological diseases). In the present study, we investigate how the inclusion of homeostatic plasticity in a stochastic whole-brain model, implemented as a normalization of the incoming node's excitatory input, affects the macroscopic activity during rest and the formation of functional networks. Importantly, we address the structure-function relationship both at the group and individual-based levels. In this work, we show that normalization of the node's excitatory input improves the correspondence between simulated neural patterns of the model and various brain functional data. Indeed, we find that the best match is achieved when the model control parameter is in its critical value and that normalization minimizes both the variability of the critical points and neuronal activity patterns among subjects. Therefore, our results suggest that the inclusion of homeostatic principles lead to more realistic brain activity consistent with the hallmarks of criticality. Our theoretical framework open new perspectives in personalized brain modeling with potential applications to investigate the deviation from criticality due to structural lesions (e.g. stroke) or brain disorders.
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Registered trials
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