Abstract
The brain is processing information 24 hours a day. There are millions of processes proceeding in it accompanied by various spectra of rhythms. This paper tests the hypothesis that the slow delta rhythm excites the gamma rhythm oscillations. Unlike other papers, we determine the slow rhythm spectrum not at the hypothesis stage but during the experiment. We design algorithms of filtering, envelope extraction, and correlation coefficient calculation for signal processing. Moreover, we examine the data on all electroencephalogram channels, which allows us to make a more reasonable conclusion. We confirm that a slow delta rhythm excites a fast gamma rhythm with an amplitude-phase type of interaction and calculate a delay between these two signals equal to about half a second.
Highlights
The human brain processes information almost continuously throughout life
We demonstrate that when the low-frequency signal has a positive phase, faster gamma oscillations occur; when the low-frequency rhythm is in the negative phase, gamma oscillation death appears
This paper investigated the relationships between fast gamma rhythm and slow brain rhythm
Summary
The human brain processes information almost continuously throughout life. In [Neske, 2016], the authors noted that the cerebral cortex and thalamus exhibit quite diverse and rich activity even during the most inactive periods of human life. While investigating research on the rhythms coupling, we were interested and inspired by [Moran and Hong, 2011] It reveals the concept of synchronous deviations in the slow and fast bands in schizophrenia: against the background of slow rhythms anomalies, anomalies in gamma rhythm appeared. The phase-to-power relationship is relevant since a low-frequency signal (e.g. delta, theta, or alpha) can generate the highfrequency rhythm (e.g. gamma). This knowledge can be exploited with biological neuron models to simulate an excitable system that produces high-frequency oscillations.
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