CN-121987219-A - Intrusion type mouse brain electricity data acquisition and analysis system and method

CN121987219ACN 121987219 ACN121987219 ACN 121987219ACN-121987219-A

Abstract

The invention relates to the technical field of biomedical engineering, in particular to an invasive mouse brain electrical data acquisition and analysis system and method. The system comprises a motion structure component, a control component and a data acquisition analysis component, wherein the motion structure component is used for providing a motion carrier for a mouse and acquiring motion parameters, the control component is used for adjusting motor output according to target parameters, generating a synchronous time tag instruction, recording actual motion parameters in real time and storing the actual motion parameters in association with the time tag, the data acquisition analysis component is used for acquiring electroencephalogram raw data and synchronously storing the time tag, aligning an electroencephalogram sampling time sequence with a motion control time tag sequence, extracting electroencephalogram pulse position information and calculating neuron discharge frequency, and establishing association between the discharge frequency and the motion parameters. According to the technical scheme, accurate synchronous acquisition of the motion state of the mice and the brain electrical signals can be realized, automatic alignment of time marks and multidimensional correlation analysis can be realized.

Inventors

XIANG HENGSHENG
WANG LINA
QIN HAN
GAO YUAN
LI XIAOFEI
TANG LING
GAO TIAN

Assignees

重庆脑与智能科学中心
中国航天科技创新研究院

Dates

Publication Date: 20260508
Application Date: 20260323

Claims (10)

1. An invasive mouse brain electrical data acquisition and analysis system, comprising: the device comprises a motion structure component, a motion bearing sub-module, a power driving sub-module and a parameter acquisition sub-module, wherein the motion structure component is used for providing a motion carrier for a mouse and acquiring motion parameters in real time, and the motion bearing sub-module comprises a rotating wheel; The system comprises a control component, a parameter regulation and control module, a label management module and a data recording module, wherein the control component is used for regulating and controlling motion parameters, generating time labels and synchronously transmitting data, the parameter regulation and control module is used for regulating motor output signals according to target motion parameters, the label management module is used for generating synchronous time label instructions and sending the synchronous time label instructions to the data acquisition and analysis component, and the data recording module is used for recording actual motion parameters of a rotating wheel in real time and storing the actual motion parameters in association with corresponding time labels; The data acquisition and analysis module is used for acquiring brain electrical signals, realizing time tag matching and multidimensional data association analysis, and comprises a data acquisition sub-module, a mark alignment sub-module and a multidimensional analysis sub-module, wherein the data acquisition sub-module is used for acquiring brain electrical original data and receiving time tag instructions to realize synchronous storage, the mark alignment sub-module is used for aligning brain electrical sampling time sequences with motion control time tag sequences, and the multidimensional analysis sub-module is used for extracting brain electrical pulse position information, calculating neuron discharge frequency and establishing association between discharge frequency and motion parameters.
2. The invasive mouse brain electrical data acquisition and analysis system of claim 1, wherein the movement-carrying sub-module further comprises a mouse securing device; the rotating wheel is fixedly connected with a motor output shaft in the power driving sub-module through a coupler and is arranged on the fixed bracket; the mouse fixing device is arranged on the fixing bracket and is used for fixing the mouse so as to ensure stable movement of the mouse.
3. The invasive mouse brain electrical data acquisition and analysis system according to claim 1, wherein the motor driving module is connected with the control assembly, receives a rotation speed control signal and drives the motor to operate, and the motor supports a torque feedback function and can dynamically adjust output torque according to the movement resistance of the mouse.
4. The invasive mouse brain electrical data acquisition and analysis system according to claim 1, wherein the parameter regulation sub-module dynamically adjusts the motor PWM output signal through a closed-loop control algorithm, the closed-loop control algorithm being a PID closed-loop control algorithm.
5. The invasive mouse brain electrical data acquisition and analysis system of claim 1, wherein the tag management sub-module generates the synchronized time tag instructions at predetermined time intervals.
6. The invasive mouse brain electrical data acquisition and analysis system according to claim 1, wherein the marker alignment submodule is used for reading brain electrical sampling time sequences and motion control time tag sequences, calculating time offset by a cross-correlation algorithm and automatically correcting, and the cross-correlation algorithm formula is as follows: Wherein, the As a function of the cross-correlation, And Respectively two groups of time sequences, Is the time offset.
7. The invasive mouse brain electrical data acquisition and analysis system according to claim 1, wherein the multidimensional analysis submodule is used for extracting brain electrical pulse position information, calculating neuron discharge frequency, and establishing a correlation model between the discharge frequency and runner speed and acceleration.
8. The invasive mouse brain electrical data acquisition and analysis system according to claim 1, wherein the data acquisition sub-module comprises an invasive electrode, a signal processing component and a data acquisition controller, and is used for acquiring brain electrical signals and synchronously storing brain electrical raw data and the synchronous time tag; The invasive electrode is implanted into brain regions related to brain navigation functions of the mice and is connected with the signal processing assembly through an electrode interface board; The signal processing component is used for amplifying and filtering the brain electrical signals; the data acquisition controller is responsible for the acquisition and preliminary processing of brain electrical data.
9. The invasive mouse brain electrical data acquisition and analysis system of claim 1, further comprising auxiliary equipment; The auxiliary equipment comprises a motor electromagnetic shielding box and adopts a multi-layer metal screen shielding structure for avoiding the influence of motor electromagnetic interference on electroencephalogram signal acquisition.
10. An invasive mouse brain electrical data acquisition and analysis method, characterized in that the invasive mouse brain electrical data acquisition and analysis system according to any one of claims 1-9 is used.

Description

Intrusion type mouse brain electricity data acquisition and analysis system and method Technical Field The invention relates to the technical field of biomedical engineering, in particular to an invasive mouse brain electrical data acquisition and analysis system and method. Background In the field of neuroscience research, mice become model organisms for exploring brain cell function mechanisms due to the similarity of genes, physiological structures and nerve functions with human beings, and are widely applied to exploring brain cell function mechanisms, while brain electrical signals serve as core physiological indexes for reflecting neuron activities, and the accurate acquisition and the deep analysis of the brain electrical signals have a key meaning for revealing the nerve mechanisms related to the navigation functions of the mice. The implementation of the navigation function relies on the cooperative work of brain-specific neural circuits. When the mouse performs navigation activities in space, such as exploring new environments, searching for food, etc., its neurons encode spatial information through electrical activity, thereby guiding behavioral decisions. By collecting the brain electrical signals of the mice in the movement process, the neuron discharging activity and the navigation related behavior can be linked, and key data is provided for analyzing the cell regulation and control mechanism of the navigation function. The invasive brain electricity acquisition technology can implant the electrode into a specific area of the brain of the mouse, is closer to the neuron activity source, can accurately capture the discharging activity of single or multiple neurons, and plays an important role in researching the function of a nerve loop related to the brain navigation of the mouse. The existing mouse invasive brain electrical data acquisition system is faced with some conditions in practical application. Most systems focus on the recording of a single signal in terms of functional design. When the brain cell functions related to the navigation function are studied, the movement state of the mouse is not single and unchanged, parameters such as movement speed, acceleration and the like can be changed along with the change of environment and tasks, and the parameters can influence the brain electrical signals. While the existing system is difficult to effectively distinguish and synchronously mark the electroencephalogram data in different motion states when the electroencephalogram signals are recorded. The motion device of the traditional system has limited functions, only one motion parameter can be set at a time, the speed and acceleration conditions of combination transformation under different motion working conditions can not be flexibly simulated, and the diversified experimental requirements can not be met. In the time mark processing, the automatic alignment of the motion time mark and the electroencephalogram sampling time mark is difficult, and the manual post correction is generally required, so that the workload of data processing is increased, errors are easily introduced due to manual operation, and the accuracy of data is influenced. In addition, most systems have insufficient data analysis capability, can simply record brain electrical signals or analyze the brain electrical signals in a single dimension, and cannot effectively correlate the discharge frequency with multidimensional parameters such as the movement speed, the acceleration and the like of the mice. Therefore, researchers are difficult to comprehensively understand the activity rules of the relevant brain cells under different movement conditions, and are unfavorable for deep exploration of brain cell mechanisms of the mouse navigation function. Disclosure of Invention The invention aims at providing an invasive mouse brain electricity data acquisition and analysis system and method, according to the technical scheme, accurate synchronous acquisition of the motion state of the mice and the brain electrical signals can be realized, automatic alignment of time marks and multidimensional correlation analysis can be realized. In order to achieve the above object, in a first aspect, the present invention provides an invasive mouse brain electrical data acquisition and analysis system, comprising: the device comprises a motion structure component, a motion bearing sub-module, a power driving sub-module and a parameter acquisition sub-module, wherein the motion structure component is used for providing a motion carrier for a mouse and acquiring motion parameters in real time, and the motion bearing sub-module comprises a rotating wheel; The system comprises a control component, a parameter regulation and control module, a label management module and a data recording module, wherein the control component is used for regulating and controlling motion parameters, generating time labels and synchronously transmitting data, the