ArticleCommunications biology2023
Critical scaling of whole-brain resting-state dynamics.
Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Arousal-driven critical roaming reproduces human functional connectivity dynamics.PLoS biology · 2026Article
- Power Laws in Empirical Eigenvalue Spectra.Entropy (Basel, Switzerland) · 2026Article
- Using an ordinary differential equation model to separate rest and task signals in fMRI.Nature communications · 2025Article
- Phase transitions inArXiv · 2025Article
- Diffusion wavelets on connectome: Localizing the sources of diffusion mediating structure-function mapping using graph diffusion wavelets.Network neuroscience (Cambridge, Mass.) · 2025Article
- Spontaneous Brain Activity Emerges from Pairwise Interactions in the Larval Zebrafish Brain.Physical review. X · 2024Article
- Brain signaling becomes less integrated and more segregated with age.bioRxiv : the preprint server for biology · 2024Article
- Low-dimensional criticality embedded in high-dimensional awake brain dynamics.Science advances · 2024Article
- Sleep restores an optimal computational regime in cortical networks.Nature neuroscience · 2024Article
- Brain signaling becomes less integrated and more segregated with age.Network neuroscience (Cambridge, Mass.) · 2024Article
- Linking fast and slow: The case for generative models.Network neuroscience (Cambridge, Mass.) · 2024Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scale invariance is a characteristic of neural activity. How this property emerges from neural interactions remains a fundamental question. Here, we studied the relation between scale-invariant brain dynamics and structural connectivity by analyzing human resting-state (rs-) fMRI signals, together with diffusion MRI (dMRI) connectivity and its approximation as an exponentially decaying function of the distance between brain regions. We analyzed the rs-fMRI dynamics using functional connectivity and a recently proposed phenomenological renormalization group (PRG) method that tracks the change of collective activity after successive coarse-graining at different scales. We found that brain dynamics display power-law correlations and power-law scaling as a function of PRG coarse-graining based on functional or structural connectivity. Moreover, we modeled the brain activity using a network of spins interacting through large-scale connectivity and presenting a phase transition between ordered and disordered phases. Within this simple model, we found that the observed scaling features were likely to emerge from critical dynamics and connections exponentially decaying with distance. In conclusion, our study tests the PRG method using large-scale brain activity and theoretical models and suggests that scaling of rs-fMRI activity relates to criticality.
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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.