ArticleCell reports2023
Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena.
Article in Cell reports, 2023. 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 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Role of Neuronal Cholecystokinin Receptor: An Emerging Therapeutic Target for Ameliorating Neurological Diseases.Molecular neurobiology · 2025Review
- Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience.ArXiv · 2025Article
- Article
- ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data.Brain and behavior · 2025Article
- Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.PLoS computational biology · 2025Article
- EEG spectral attractors identify a geometric core of brain dynamics.Patterns (New York, N.Y.) · 2024Article
- Article
- Temporospatial Nestedness in Consciousness: An Updated Perspective on the Temporospatial Theory of Consciousness.Entropy (Basel, Switzerland) · 2023Review
- Linking local and large-scale salient events with oscillatory and broadband arrhythmic activities in the resting human brain.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
Much of systems neuroscience posits the functional importance of brain activity patterns that lack natural scales of sizes, durations, or frequencies. The field has developed prominent, and sometimes competing, explanations for the nature of this scale-free activity. Here, we reconcile these explanations across species and modalities. First, we link estimates of excitation-inhibition (E-I) balance with time-resolved correlation of distributed brain activity. Second, we develop an unbiased method for sampling time series constrained by this time-resolved correlation. Third, we use this method to show that estimates of E-I balance account for diverse scale-free phenomena without need to attribute additional function or importance to these phenomena. Collectively, our results simplify existing explanations of scale-free brain activity and provide stringent tests on future theories that seek to transcend these explanations.
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Registered trials
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.