ReviewNetwork neuroscience (Cambridge, Mass.)2022
Theoretical foundations of studying criticality in the brain.
Review in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Dynamic Global and Local Enhancement of Theta-Band Functional Networks as Neural Markers of Spinal Cord Stimulation Efficacy in Disorders of Consciousness.CNS neuroscience & therapeutics · 2026Article
- Fractal dynamics of the healthy human brain: A subcortical-to-cortical gradient of temporal complexity.iScience · 2026Article
- Hippocampal criticality tracks cognitive demand and shifts with memory impairment.Communications biology · 2026Article
- Emergent critical oscillations in motor cortex of Parkinson's patients.bioRxiv : the preprint server for biology · 2026Article
- Excitation-inhibition homeostasis in Alzheimer's disease: a selective multiscale review of mechanisms, sex differences, and therapeutic opportunities.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Impact of visual preferences for indoor green walls on emotion and brain activity of college students.Scientific reports · 2025Article
- Bridge, Reverse Bridge, and Their Control.Entropy (Basel, Switzerland) · 2025Article
- Study on the effects of traffic noise and spring water sound at different sound pressure levels on brain dynamic activity.Scientific reports · 2025Article
- Transient destabilization of whole brain dynamics induced by N,N-Dimethyltryptamine (DMT).Communications biology · 2025Article
- Brain network hypersensitivity underlies pain crises in sickle cell disease.Scientific reports · 2024Article
- Improvements in task performance after practice are associated with scale-free dynamics of brain activity.Network neuroscience (Cambridge, Mass.) · 2023Article
- Does the brain's E:I balance really shape long-range temporal correlations? Lessons learned from 3T MRI.Imaging neuroscience (Cambridge, Mass.)Article
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9 authors.
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Abstract
Criticality is hypothesized as a physical mechanism underlying efficient transitions between cortical states and remarkable information-processing capacities in the brain. While considerable evidence generally supports this hypothesis, nonnegligible controversies persist regarding the ubiquity of criticality in neural dynamics and its role in information processing. Validity issues frequently arise during identifying potential brain criticality from empirical data. Moreover, the functional benefits implied by brain criticality are frequently misconceived or unduly generalized. These problems stem from the nontriviality and immaturity of the physical theories that analytically derive brain criticality and the statistic techniques that estimate brain criticality from empirical data. To help solve these problems, we present a systematic review and reformulate the foundations of studying brain criticality, that is, ordinary criticality (OC), quasi-criticality (qC), self-organized criticality (SOC), and self-organized quasi-criticality (SOqC), using the terminology of neuroscience. We offer accessible explanations of the physical theories and statistical techniques of brain criticality, providing step-by-step derivations to characterize neural dynamics as a physical system with avalanches. We summarize error-prone details and existing limitations in brain criticality analysis and suggest possible solutions. Moreover, we present a forward-looking perspective on how optimizing the foundations of studying brain criticality can deepen our understanding of various neuroscience questions.
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