Integral multi-point synchronous recording and multi-brain zone function relation monitoring system and method

Abstract

The invention belongs to the field of neuroscience experiment, technology and research, and particularly relates to a method and a system for overall multi-site simultaneous recording and multiple brain area functional linkage monitoring. The system comprises a signal acquisition unit and a signal analysis unit which are connected through parallel interfaces, wherein the signal acquisition unit comprises an amplifier, an analog-digital converter, a microprocessor and a data signal transmission interface and simultaneously records the bioelectrical signals at different sites in the brain, the bioelectrical signals are amplified by the amplifier and converted into digital signals by the analog-digital converter, and the digital signals are transmitted to the signal analysis unit; and the signal analysis unit comprises a computer and analysis software, wherein the analysis software analyzes the digital signal from the signal acquisition unit. At the same time, the recorded bioelectrical signals are random combinations of local field potentials at different sites and central nucleus unit discharge activities. The system provides scientific research with a proactive tool for multi-site simultaneous recording and multiple brain area functional linkage monitoring of a nervous system.

Description

technical field [0001] The invention belongs to the research field of brain neuroscience experiment technology, and in particular relates to an overall multi-site synchronous recording and multi-brain region functional connection monitoring system and method. Background technique [0002] The description of the activity of dopamine (DA) neurons in the midbrain was mainly limited to the single-spiking and bursting patterns of single neurons in the past. Using spectrum analysis, it is found that low frequency oscillation (slow oscillation, SO) widely exists in DA systems. It is different from series discharge and is a new discharge mode, and it shows that the series discharge mode artificially specified in the past can no longer fully describe the discharge of DA systems. feature. [0003] The SO phenomenon of the spontaneous electrical activity of DA neurons in the midbrain refers to a periodic and regular change activity of the spontaneous discharge of DA neurons in the dis...

AI Technical Summary

Problems solved by technology

In order to realize the functions of the present invention on such systems, in addition to expanding a part of the hardware, it is also necessary to develop corresponding application software, and the development of application software is a relatively difficult thing for users. The analysis software compiled by the development language generally runs slowly and is not very practical

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