Neural network research based on drug properties: the effect of vasomotor on brain signals

摘要

In recent years, remarkable achievements have been made in the field of neural network and cognitive communication. The transmission and expression of information has always been the focus of researchers. Spontaneous activity of the brain is becoming more and more important. Spontaneous oscillations of the brain are used to indicate changes in brain state or characteristics of brain activity. This mechanism is widely used in the research of computer and big data processing. Spontaneous brain signals were recorded by optical imaging system. The spontaneous oscillations in different brain regions (arteries, veins and cortex) were extracted and analyzed by Fourier transform and multi window spectroscopy. Vasodilators (isoflurane) and constrictors (nitric oxide synthase inhibitors) are also used. We find that the spontaneous oscillations in different regions are more regular and tend to be consistent. This regular oscillation occurs at low frequency and is not affected by vasoconstriction. At the same time, the spontaneous low-frequency oscillation in different regions shows a high correlation. This shows that the spontaneous oscillation exists independently.