ArticleNetwork neuroscience (Cambridge, Mass.)2021
Long-term stability of avalanche scaling and integrative network organization in prefrontal and premotor cortex.
Article in Network neuroscience (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Is criticality a unified setpoint of brain function?Neuron · 2025Pooled it
- Symmetry breaking and avalanche shapes in modular neural networks.Frontiers in computational neuroscience · 2026Article
- Self-organized and self-sustained ensemble activity patterns in simulation of mouse primary motor cortex.bioRxiv : the preprint server for biology · 2025Article
- Fractured columnar small-world functional network organization in volumes of L2/3 of mouse auditory cortex.PNAS nexus · 2024Article
- Parabolic avalanche scaling in the synchronization of cortical cell assemblies.Nature communications · 2023Article
- Neurons in Primary Motor Cortex Encode External Perturbations during an Orientation Reaching Task.Brain sciences · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Ongoing neuronal activity in the brain establishes functional networks that reflect normal and pathological brain function. Most estimates of these functional networks suffer from low spatiotemporal resolution and indirect measures of neuronal population activity, limiting the accuracy and reliability in their reconstruction over time. Here, we studied the stability of neuronal avalanche dynamics and corresponding reconstructed functional networks in the adult brain. Using chronically implanted high-density microelectrode arrays, the local field potential (LFP) of resting-state activity was recorded in prefrontal and premotor cortex of awake nonhuman primates. Avalanche dynamics revealed stable scaling exhibiting an inverted parabolic profile and collapse exponent of 2 in line with a critical branching process over many days and weeks. Functional networks were based on a Bayesian-derived estimator and demonstrated stable integrative properties characterized by nontrivial high neighborhood overlap between strongly connected nodes and robustness to weak-link pruning. Entropy-based mixing analysis revealed significant changes in strong link weights over weeks. The long-term stability in avalanche scaling and integrative network organization in the face of individual link weight changes should support the development of noninvasive biomarkers to characterize normal and abnormal brain states in the adult brain.
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Registered trials
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