Electrode propeller suitable for information acquisition of multiple brain areas of rat

Abstract

The invention provides an electrode propeller suitable for information acquisition of multiple brain areas of a rat. The electrode propeller comprises a protection cover as well as a propeller main frame, an electrode mounting plate and a plurality of electrodes that are arranged in the protection cover, wherein the propeller main frame is provided with a plurality of slideways; each of the slideways is internally provided with a sliding block; each of the sliding blocks is matched with a screw by screw thread; each of the screws and each of the sliding blocks form a screw mechanism; a guide pipe is arranged at the bottom of each of the sliding blocks in a sleeving manner, so as to slide along with the sliding block; each of the sliding blocks can be a fan-shaped structure; the bottom end of each of the sliding blocks is a sharp end and is adhered with each of the guide pipes; one end of each of the electrodes is correspondingly connected with the top end of each of the guide pipes, and the other end of the electrode stretches out of the guide pipe; the electrodes can move along with the movement of the sliding blocks; an avoiding hole, through which the electrodes can penetrate, is formed in the bottom end of the protection cover. According to the scheme, the problems that the electrodes are respectively implanted into a plurality of areas of the brain areas at the same time difficultly, and the depths of the electrodes are controlled more difficultly are solved.

Description

technical field [0001] The invention relates to the technical field of neuron information collection equipment, in particular to an electrode propeller suitable for multi-brain area information collection of rats. Background technique [0002] The neural network of the brain has an extremely large number of neurons, and these neurons are the basis for understanding the dynamic changes of the brain. The neurons of the neural network at different scales have small-world properties, which makes it difficult to understand the dynamic change mechanism of the brain. Based on this, many tools have been developed to monitor the neuron activity of the neural network. Among them, the extracellular electrophysiological technique is widely used due to its high time resolution and high spatial resolution, and the extracellular electrophysiological technique can be very deep. to detect changes in neurons. Extracellular electrophysiology captures neuronal activity by implanting electrode...

AI Technical Summary

Problems solved by technology

[0004] The problem to be solved by the present invention is that it is difficult to implant electrodes in multiple regions of the brain at the same time, and it is difficult to control the depth position of multiple electrodes.

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