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The relationship between the rhythmic components of the brain electrical activity during the development of status epilepticus: an operational model of brain rhythms generation.

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Background/Introduction: Despite the fact that brain rhythms are widely studied and officially classified, there is no consensus on their relationship, which can shed light on the genesis of rhythmic activity,… Click to show full abstract

Background/Introduction: Despite the fact that brain rhythms are widely studied and officially classified, there is no consensus on their relationship, which can shed light on the genesis of rhythmic activity, its synchronization, functional role, and the formation of pathological reactions. Using the experimental status epilepticus (SE) as a model of brain in a hypersynchronized state with well-defined rhythms, we aimed to study the relationship between the rhythmic components of the brain electrical activity. METHODS Local field potentials (LFP) were recorded simultaneously from the hippocampus, entorhinal cortex, medial septum and amygdala during normal conditions and after kainic acid administration in waking guinea pigs. The dynamical spectral LFP properties were analysed with the aid of Fast Fourier transform. RESULTS Kainic acid induces prominent SE with periodic combination of epileptiform discharge complexes and relatively quiet interdischarge intervals in the electrical activity of the brain. We have shown that new components appeared in the LFP spectra during the development of SE, representing a sequential doubling of the frequency, which had initially been dominating in the background records. DISCUSSION The phenomenon of frequency doubling can be interpreted as the octave principle of the LFP spectrum rhythmic carcass structure. The spectra of discharge complexes represent an alternation of harmonic spectra, where fundamental frequency coincides with one of the doubled frequencies dominating in the interdischarge activity. Using a nonlinear recurrent operation of rhythm multiplication and the obtained data we propose an operational model of the generation of rhythms and pathological discharges in the brain based on the octave principle.

Keywords: brain rhythms; electrical activity; activity; model; brain; relationship

Journal Title: Brain connectivity
Year Published: 2021

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