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Scale-free behaviour and metastable brain-state switching driven by human cognition, an empirical approach

  • Aldo Mora-SánchezEmail author
  • Gérard Dreyfus
  • François-Benoît Vialatte
Research Article
  • 29 Downloads

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.

Keywords

Metastability Cognition Brain dynamics Machine learning EEG non-stationarity Scale-free dynamics 

Notes

Acknowledgements

This work was supported by a Consejo Nacional de Ciencia y Tecnología (Mexican government) Grant (to A.M.-S.).

Compliance with ethical standards

Conflict of interest

We declare that we have no conflict of interest.

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Brain Plasticity Unit, UMR8249CNRSParisFrance
  2. 2.ESPCI ParisPSL Research UniversityParisFrance

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