@misc{10481/69684,
year = {2021},
url = {http://hdl.handle.net/10481/69684},
abstract = {We here study a network of synaptic relations mingling excitatory and inhibitory neuron
nodes that displays oscillations quite similar to electroencephalogram (EEG) brain waves, and identify
abrupt variations brought about by swift synaptic mediations. We thus conclude that corresponding
changes in EEG series surely come from the slowdown of the activity in neuron populations due to
synaptic restrictions. The latter happens to generate an imbalance between excitation and inhibition
causing a quick explosive increase of excitatory activity, which turns out to be a (first-order) transition
among dynamic mental phases. Moreover, near this phase transition, our model system exhibits
waves with a strong component in the so-called delta-theta domain that coexist with fast oscillations.
These findings provide a simple explanation for the observed delta-gamma and theta-gamma modulation
in actual brains, and open a serious and versatile path to understand deeply large amounts of
apparently erratic, easily accessible brain data.},
organization = {Spanish Ministry of Science and Technology},
organization = {Agencia Española de Investigación (AEI)},
organization = {FEDER - FIS2017-84256-P},
organization = {Consejería de Conocimiento, Investigación Universidad, Junta de Andalucía and European Regional
Development Funds, Spain - SOMM17/6105/UGR Y A-FQM-175-UGR18},
organization = {Consejería de Transformación Económica, Industria, Conocimiento y Universidades, Junta de
Andalucía and European Regional Development Funds, Ref. P20_00173},
publisher = {MDPI},
keywords = {EEG time series},
keywords = {Synaptic plasticity},
keywords = {Modulations and explosive transitions in brain waves},
title = {EEGs Disclose Significant Brain Activity Correlated with Synaptic Fickleness},
doi = {10.3390/biology 10070647},
author = {Pretel Villanueva, Jorge and Torres Agudo, Joaquín and Marro Borau, Joaquín},
}