ArticleCognitive neurodynamics2019
Scale-free behaviour and metastable brain-state switching driven by human cognition, an empirical approach.
Article in Cognitive neurodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Depression links to unstable resting-state brain dynamics: insights from hidden markov models and functional network variability.Psychological medicine · 2025Article
- Synchronization in fractional-order neural networks by the energy balance strategy.Cognitive neurodynamics · 2024Article
- A novel index of functional connectivity: phase lag based on Wilcoxon signed rank test.Cognitive neurodynamics · 2021Article
- Energy features in spontaneous up and down oscillations.Cognitive neurodynamics · 2021Article
- Research on cascading high-dimensional isomorphic chaotic maps.Cognitive neurodynamics · 2021Article
- Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers.Frontiers in systems neuroscience · 2021Article
- Diffuse neural coupling mediates complex network dynamics through the formation of quasi-critical brain states.Nature communications · 2020Article
- A stacked sparse auto-encoder and back propagation network model for sensory event detection via a flexible ECoG.Cognitive neurodynamics · 2020Article
- The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method.Cognitive neurodynamics · 2020Article
- A brain-computer interface for the continuous, real-time monitoring of working memory load in real-world environments.Cognitive neurodynamics · 2020Article
- A spiking neural network model of spatial and visual mental imagery.Cognitive neurodynamics · 2020Article
- Functional and effective connectivity based features of EEG signals for object recognition.Cognitive neurodynamics · 2019Article
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3 authors.
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Abstract
We developed a framework to study brain dynamics under cognition. In particular, we investigated the spatiotemporal properties of brain state switches under cognition. The lack of electroencephalography stationarity is exploited as one of the signatures of the metastability of brain states. We correlated power law exponents in the variables that we proposed to describe brain states, and dynamical properties of non-stationarities with cognitive conditions. This framework was successfully tested with three different datasets: a working memory dataset, an Alzheimer disease dataset, and an emotions dataset. We discuss the temporal organization of switches between states, providing evidence suggesting the need to reconsider the piecewise model, in which switches appear at discrete times. Instead, we propose a more dynamically rich view, in which besides the seemingly discrete switches, switches between neighbouring states occur all the time. These micro switches are not (physical) noise, as their properties are also affected by cognition.
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