ArticleFrontiers in systems neuroscience2014
Functional significance of complex fluctuations in brain activity: from resting state to cognitive neuroscience.
Article in Frontiers in systems neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Editorial: Advances in brain dynamics in the healthy and psychiatric disorders.Frontiers in psychiatry · 2023Article
- Unusual Mathematical Approaches Untangle Nervous Dynamics.Biomedicines · 2022Review
- Attaining the recesses of the cognitive space.Cognitive neurodynamics · 2022Article
- Broadband Dynamics Rather than Frequency-Specific Rhythms Underlie Prediction Error in the Primate Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Time in Brain: How Biological Rhythms Impact on EEG Signals and on EEG-Derived Brain Networks.Frontiers in network physiology · 2021Article
- Points and lines inside human brains.Cognitive neurodynamics · 2019Review
- Gauging Functional Brain Activity: From Distinguishability to Accessibility.Frontiers in physiology · 2019Article
- Time Irreversibility of Resting-State Activity in the Healthy Brain and Pathology.Frontiers in physiology · 2019Article
- The informational entropy endowed in cortical oscillations.Cognitive neurodynamics · 2018Article
- Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications.Frontiers in physiology · 2018Article
- From abstract topology to real thermodynamic brain activity.Cognitive neurodynamics · 2017Article
- Towards Topological Mechanisms Underlying Experience Acquisition and Transmission in the Human Brain.Integrative psychological & behavioral science · 2017Article
- Towards a fourth spatial dimension of brain activity.Cognitive neurodynamics · 2016Review
- Commentary: The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs.Frontiers in human neuroscience · 2016Article
- Article
- New Perspectives on Spontaneous Brain Activity: Dynamic Networks and Energy Matter.Frontiers in human neuroscience · 2016Review
- Criticality as a signature of healthy neural systems.Frontiers in systems neuroscience · 2015Article
- How can we study reasoning in the brain?Frontiers in human neuroscience · 2015Article
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Abstract
Behavioral studies have shown that human cognition is characterized by properties such as temporal scale invariance, heavy-tailed non-Gaussian distributions, and long-range correlations at long time scales, suggesting models of how (non observable) components of cognition interact. On the other hand, results from functional neuroimaging studies show that complex scaling and intermittency may be generic spatio-temporal properties of the brain at rest. Somehow surprisingly, though, hardly ever have the neural correlates of cognition been studied at time scales comparable to those at which cognition shows scaling properties. Here, we analyze the meanings of scaling properties and the significance of their task-related modulations for cognitive neuroscience. It is proposed that cognitive processes can be framed in terms of complex generic properties of brain activity at rest and, ultimately, of functional equations, limiting distributions, symmetries, and possibly universality classes characterizing them.
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