A visual motion function test system and method based on full-view surround synchronous visual stimulation

By using a visual-motor function testing system with full-field surround synchronous visual stimulation, and combining visual stimulation parameters with rotarod device benchmark data, the system simultaneously assesses the motor ability and brain function of mice. This solves the shortcomings of existing technologies in assessing motor ability through vision and achieves precise quantification of motor ability and brain function through vision.

CN120643193BActive Publication Date: 2025-12-12PEKING UNIVERSITY THIRD HOSPITAL (THE THIRD CLINICAL MEDICAL SCHOOL OF PEKING UNIVERSITY)
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Patent Information

Application Number
CN202511150641.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-18
Publication Date
2025-12-12
Estimated Expiration
2045-08-18

AI Technical Summary

Technical Problem

Existing technologies have failed to effectively assess the impact of vision on motor ability and synchronous brain function when testing the motor ability of mice, and lack motor task scenarios with visual stimulation load.

Method used

Design a visual-motor function testing system based on full-field surround synchronous visual stimulation. By selecting specific visual stimulation parameters and combining them with the benchmark data of the rotarod device, the system synchronously matches visual stimulation with motor tasks, collects kinematic and brain region neuron activation data, and performs inter-group statistical analysis.

Benefits of technology

It enables an intuitive and accurate assessment of the impact of visual state on motor balance and synchronous brain function. By synchronizing visual stimulus parameters with motor tasks, it quantifies the influence of vision on motor ability and its brain function.

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Abstract

The application provides a visual motion function test system and method based on full-view surround synchronous visual stimulation, and applies to the technical field of medical data processing. The visual stimulation parameters and the rotating rod motion mode parameters are combined, the strip grid rolling direction and the rotating rod rotating direction are synchronously matched, the synchronous presentation scene of the visual stimulation and the motion task is established based on the four-screen linkage control technology and the rotating rod-screen adaptive design, and the full-view stimulation constraint condition is generated; the visual stimulation parameters, the rotating rod reference data, the synchronous control logic and the dynamic parameter combination constraint condition are processed, the rotating rod time, the falling rotating speed and the motion trajectory data are collected; the collected kinematic data are processed, the function parameters including the visual state grouping and the brain region neuron activation count are combined, the motion balance ability and brain function correlation data are generated; and the visual-motor function evaluation result is generated according to the combination of the normality test and the inter-group statistical method.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical data processing, in particular to a visual motion function test system and method based on full-field surround synchronous visual stimulation. BACKGROUND

[0002] Visual information, as the main sensory input for animals to perceive the environment, has a decisive influence on motor behavior planning and execution. With the continuous deepening of the study of sensory-motor integration, the neural mechanisms of the influence of vision on animal motor function and its complex brain function network have attracted widespread attention. Existing research shows that visual information plays a crucial role in animal motor planning, and visual input can help animals identify obstacles and target locations in the environment, thereby guiding them to choose a motor path and significantly improve the accuracy of motor decision-making. At the same time, visual feedback is crucial for motor preparation and execution in goal-directed tasks, helping animals to adjust and optimize their motor performance. The retino-lateral geniculate nucleus-primary visual cortex pathway is the basis of the central nervous network of visual-motor interaction. The photoreceptor cells in the retina convert light signals into electrical signals, which are transmitted to the lateral geniculate nucleus (LGN) through the optic nerve, and then to the primary visual cortex (V1). This pathway not only handles basic visual information, but also provides a basis for higher-level visual perception and motor response. At the same time, the primary visual cortex, through interaction with the motor cortex, regulates motor planning and execution. The motor cortex will produce feedback on signals from the visual cortex when performing visually guided movements, thereby affecting the speed and accuracy of the movement. Based on the information exchange between the visual cortex and the motor cortex, the thalamus-tectum-basal ganglia motor circuit complements the modulation of the interaction between visual signals and motor control, thereby forming a complex motor control network that realizes the central integration of visual input and motor control output.

[0003] Relying on mature genetic experimental methods and rich neuroanatomical resources, mice have become an important animal model for neuroscience research. In the study of the brain mechanisms of the influence of vision on movement using mice as animal models, behavioral assessment techniques are crucial research tools that can assess the movement performance and coordination ability of mice under different visual stimuli. Among them, the rotarod balance experiment is an important method for evaluating the motor function of mice. This experiment not only reflects the balance and coordination ability of the test animals, but also detects their overall motor ability, endurance and muscle strength. By measuring the time spent by mice on the rotarod and the number of falls, the experiment assesses their motor function, including motor coordination and balance ability.

[0004] However, the existing research methods and devices do not apply any visual-related stimulating elements to the mice during the test process, and do not form a movement task scene containing visual stimulation load, so they can only reflect the movement ability of experimental animals and cannot directly evaluate the influence of vision on movement ability and movement synchronous brain function. Therefore, it is necessary to design a movement task scene containing visual stimulation load, form a test device that synchronously presents visual stimulation and observes movement tasks, obtain kinematic parameters at the same time, stimulate visual-motor neural circuit function, and form experimental technical methods and devices that can directly and accurately reflect the influence of vision on movement ability and its synchronous brain function.

[0005] It should be noted that the information disclosed in the above background section is only used to strengthen the understanding of the background of the present disclosure, and therefore can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0006] The purpose of the present application is to provide a visual movement function test system and method based on full-field surround synchronous visual stimulation, which at least partially overcomes the problems existing in the prior art. For experimental mice, specific visual stimulation is selected according to the visual state, and a visual load movement task is formed synchronously with the rotating rod test. The time on the rod, the falling rotation speed are taken as movement parameters, and the number of activated neurons in specific brain areas is taken as brain function parameters by staining brain tissue. Through statistical comparison between groups, the influence of visual state on movement balance and synchronous brain function is evaluated.

[0007] Other characteristics and advantages of the present application will become apparent from the following detailed description, or will be learned partly through practice of the present application.

[0008] According to one aspect of the present application, a visual-motor function test method based on full field surround synchronous visual stimulation is provided, comprising: acquiring visual stimulation parameters and rotating rod device reference data, the visual stimulation parameters including black and white bar grating spatial frequency and movement speed selected according to visual state, and the rotating rod device reference data including rotating rod diameter, acceleration, rotating speed range and four-screen surround layout parameters, wherein the black and white bar grating spatial frequency is 0.1-1.0 cycle / deg, the movement speed is 0.1-10° / s, the rotating rod diameter is 2-3 cm, the acceleration is 0.1-5 revolutions / minute2, the rotating speed range is 5-60 revolutions / minute, and the four-screen surround covers a field of view of 0° to 180°+ side 0° to 45° in front; combining the visual stimulation parameters and rotating rod movement mode parameters, synchronously matching the bar grating rolling direction and the rotating rod rotating direction, establishing a synchronous rule of visual stimulation and movement task based on four-screen linkage control technology and rotating rod-screen adaptive design, and generating full field stimulation constraint conditions; processing based on the visual stimulation parameters, the rotating rod reference data, the synchronous control logic and the dynamic parameter combination constraint conditions, collecting the rotating rod time, the falling speed and the movement trajectory data; processing the collected kinematic data, combining the function parameters including visual state grouping and brain region neuron activation count, and generating visual-motor function correlation data, wherein the visual state grouping includes normal vision and visual impairment; processing the correlation data and parameter settings according to normality test and inter-group statistical method, and generating visual-motor function evaluation results.

[0009] According to another aspect of the present application, a visual-motor function test device based on full field surround synchronous visual stimulation is provided, comprising: an acquisition module for acquiring visual stimulation parameters and rotating rod device reference data; a processing module for combining the visual stimulation parameters and rotating rod movement mode parameters, synchronously matching the bar grating rolling direction and the rotating rod rotating direction, establishing a synchronous rule of visual stimulation and movement task based on four-screen linkage control technology and rotating rod-screen adaptive design, and generating full field stimulation constraint conditions; processing based on the visual stimulation parameters, the rotating rod reference data, the synchronous control logic and the dynamic parameter combination constraint conditions, collecting the rotating rod time, the falling speed and the movement trajectory data; processing the collected kinematic data, combining the function parameters including visual state grouping and brain region neuron activation count, and generating visual-motor function correlation data, wherein the visual state grouping includes normal vision and visual impairment; processing the correlation data and parameter settings according to normality test and inter-group statistical method, and generating visual-motor function evaluation results.

[0010] According to still another aspect of the present application, an electronic device is provided, comprising: a first processor; and a memory storing executable instructions of the first processor; wherein the first processor is configured to perform the method for testing visual motor function based on full field surround synchronous visual stimulation by executing the executable instructions.

[0011] According to still another aspect of the present application, a computer readable storage medium is provided, having stored thereon a computer program, which, when executed by a second processor, implements the method for testing visual motor function based on full field surround synchronous visual stimulation.

[0012] The present application provides a system and method for testing visual motor function based on full field surround synchronous visual stimulation. The system and method select a specific intensity of visual stimulation according to the visual state of the experimental mouse, and implement the stimulation in a rotarod test to form a motion task containing visual load. In the experiment, the mouse completes the rotarod task and watches the stimulation simultaneously, and the time on the rod and the rotation speed of the rotarod when falling are collected as kinematic parameters of motion balance function. After the mouse completes the task, brain tissue is taken for staining, and the number of stained neuron cell bodies in a specific brain region is counted as a quantitative parameter of brain region function activity. The parameters of normal and visually impaired mice are compared between groups using corresponding statistical methods according to data distribution, and the effects of visual state difference on motion balance ability and motion synchronous brain function are evaluated.

[0013] It should be understood that the general description above and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 A flow chart of a method for testing visual motor function based on full field surround synchronous visual stimulation according to an embodiment of the present application is shown;

[0015] Figure 2 A structural schematic diagram of a device for testing visual motor function based on full field surround synchronous visual stimulation according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0016] The preferred embodiments of the present application are described below in conjunction with the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and cannot limit the present application.

[0017] The preferred embodiments of the present application are described below in conjunction with the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and cannot limit the present application. Figure 1A visual motion function test method based on full-field surround synchronous visual stimulation according to an exemplary embodiment of the present application will be described. It should be noted that the following application scenarios are only shown for facilitating the understanding of the design and principles of the present application, and the embodiments of the present application are not limited in this respect. On the contrary, the embodiments of the present application are applicable to other applicable scenarios.

[0018] In an embodiment, the present application further provides a visual motion function test system and method based on full-field surround synchronous visual stimulation. Figure 1 A flowchart of a visual motion function test method based on full-field surround synchronous visual stimulation according to an embodiment of the present application is schematically shown.

[0019] S101, obtain visual stimulation parameters and reference data of the rotating rod device.

[0020] In an embodiment, 8-week-old C57BL / 6 male mice are used as experimental subjects and are divided into two groups: a control group with normal vision (cornea transparent, visual acuity about 0.3-0.5 cycle / deg) and an experimental group with mild visual impairment caused by corneal chemical injury (cornea light to moderate opacity, iris and pupil can be observed through the cornea). Regarding the spatial frequency, the control group uses 0.3 cycle / deg (matching the normal mouse vision range), and the experimental group also uses 0.3 cycle / deg (conforming to the stimulation intensity of the mild impairment model) due to mild visual impairment; if it is a moderate impairment mouse (corneal opacity is more obvious), 0.2 cycle / deg is selected. Regarding the movement speed, both groups use 5° / s (commonly used speed for dynamic visual response test), and if the static visual related movement function is tested, the speed can be reduced to 0.5° / s.

[0021] The reference data of the rotating rod device is set as follows: the rotating rod diameter is selected to be 2.5 cm, which conforms to the physiological size of mouse forelimb grip, avoids unstable grip caused by too thick (more than 3 cm) or slipping caused by too thin (less than 2 cm). The acceleration is set to be 2 revolutions / minute², which takes into account the basic balance ability detection (low speed stage 5-15 revolutions / minute) and complex motion state evaluation (high speed stage 30-60 revolutions / minute). The rotating speed range is 5-60 revolutions / minute, supporting 0.1 revolution / minute fine adjustment, for example, starting from 5 revolutions / minute and gradually increasing to 60 revolutions / minute according to the set acceleration.

[0022] The four-screen surround layout parameters are as follows: The base screen measures 25cm x 25cm (equivalent to 10.4 inches) with a resolution of 2560 x 1600, completely covering the base of the rotating rod device (20cm x 20cm) to provide a background for visual stimulation. The front screen, 12cm away from the mouse, measures 20cm x 30cm with a resolution of 2560 x 1600, covering the mouse's frontal field of vision from 0° to 180° (horizontal x vertical), serving as the primary stimulation screen. Two side screens, each 20cm x 30cm, are seamlessly integrated with the front screen, covering the mouse's left and right sides' fields of vision from 0° to 45° respectively, forming a surround stimulation area. The brightness of all four screens is adjusted to 400 cd / m², the refresh rate to 60Hz, and the contrast ratio to 1500:1, ensuring clear, flicker-free visual targets that completely occupy the mouse's field of vision.

[0023] S102 combines visual stimulus parameters and rotor motion mode parameters, synchronously matches the strip rolling direction with the rotor rotation direction, and establishes synchronization rules between visual stimulus and motion task based on four-screen linkage control technology and rotor-screen adaptation design, generating full-field-of-view stimulus constraints.

[0024] In one implementation, a correlation analysis is performed on the visual stimulus parameters and the rotarod motion pattern parameters to generate a simulated correlation analysis result of the direction matching between the grating rolling and the rotarod rotation. Taking an 8-week-old male C57BL / 6 mouse as an example, the visual stimulus parameters are a horizontally rolling grating with a spatial frequency of 0.3 cycles / deg and a movement speed of 5° / s to the right, and the rotarod motion pattern parameters are set to clockwise rotation (matching the grating rolling direction) and acceleration of 2 revolutions / minute². The simulation analysis shows that when the grating rolling direction is consistent with the rotarod rotation direction, the correlation between the mouse's visual tracking and limb movement coordination reaches 0.85 (out of 1.0); if the grating is changed to horizontally rolling to the left (opposite to the rotarod rotation direction), the correlation drops to 0.32, indicating that directional consistency has a significant impact on visual-motor coordination.

[0025] The correlation degree analysis result is screened and processed to generate a target simulation variable list, which includes a bar grid motion direction parameter, a rotating rod rotation direction parameter, a four-screen synchronous refresh delay parameter, and a rotating rod-screen center alignment deviation parameter. Based on the above correlation degree analysis, the core variables affecting the synchronization of visual stimulation and motion task are screened out, as follows. Bar grid motion direction parameter: horizontal left / right, vertical up / down (default horizontal right, matching the clockwise rotation of the rotating rod); rotating rod rotation direction parameter: clockwise / counterclockwise (default clockwise, matching the horizontal right bar grid); four-screen synchronous refresh delay parameter: the measured four-screen refresh delay is less than or equal to 1 frame (about 16.7 ms), which is much lower than the mouse visual response threshold (≥ 50 ms); rotating rod-screen center alignment deviation parameter: by adjusting the rotating rod fixed support, the deviation between the center of the rotating rod and the center of the front screen is ensured to be less than or equal to 0.5 cm, avoiding the interference caused by visual stimulation deviation.

[0026] The correlation degree analysis result and the target simulation variable list are processed to generate parameter combination constraint conditions, including spatial constraints that meet full field of view coverage, timing synchronization constraints of visual stimulation and motion task, and bar grid-rotating rod direction consistency semantic constraints. The spatial constraint that meets the full field of view coverage is that the bottom screen completely covers the rotating rod bottom plate (25 cm x 25 cm), the front screen covers the mouse's 0° to 180° field of view, and the two side screens each cover 0° to 45° field of view, ensuring that the mouse's full field of view is occupied by the bar grid when moving, without visual blind area.

[0027] The timing synchronization constraint of visual stimulation and motion task is that the bar grid scrolling speed dynamically matches the rotating rod rotation speed (for example, when the rotating rod rotation speed is 10 revolutions per minute, the bar grid motion speed is adjusted to 3° / s), and the four-screen synchronous refresh delay is less than or equal to 1 frame, ensuring the real-time nature of visual stimulation and motion rhythm.

[0028] The bar grid-rotating rod direction consistency semantic constraint is that the bar grid scrolling direction and the rotating rod rotation direction are forced to be consistent (for example, when the bar grid is horizontally right, the rotating rod rotates clockwise), avoiding direction conflict that causes visual confusion of the mouse. This constraint is fixed in the code (for example, when the rotating rod rotates clockwise, the bar grid defaults to horizontally right scrolling).

[0029] In S103, based on the visual stimulation parameters, the rotating rod reference data, the synchronous control logic, and the dynamic parameter combination constraint conditions, the time on the rod, the falling speed, and the motion trajectory data are collected.

[0030] In an embodiment, the visual stimulation parameters, the rotarod benchmark data, and the dynamic parameter combination constraint conditions are subjected to feature extraction processing to generate visual stimulation features, rotarod movement features, and synchronous control features. Core features are extracted from the visual stimulation parameters, including a spatial frequency of 0.3 cycle / deg (matching normal mouse and mild impairment mouse vision), a movement speed of 5° / s (commonly used in dynamic visual testing), a horizontal right bar grating rolling direction (matching the rotarod rotation direction), and display characteristics of four screens with a brightness of 400 cd / m² and a contrast ratio of 1500:1, ensuring that the visual stimulation is clear and consistent with mouse visual sensitivity.

[0031] Key parameters are extracted from the rotarod benchmark data, including a diameter of 2.5 cm (consistent with the physiological size of mouse grip), an acceleration of 2 revolutions / minute² (covering low-speed basic testing and high-speed complex evaluation), a rotation speed range of 5-60 revolutions / minute (supporting 0.1 revolution / minute fine adjustment), and a clockwise rotation direction (consistent with the bar grating rolling direction). Based on the dynamic parameter combination constraint conditions, features such as a four-screen synchronous refresh delay of ≤1 frame (about 16.7 ms), a rotarod and screen center alignment deviation of ≤0.5 cm, and a bar grating speed and rotarod rotation speed dynamic matching (e.g., a rotarod of 10 revolutions / minute corresponding to a bar grating of 3° / s) are extracted to ensure the timing consistency of visual stimulation and movement tasks.

[0032] The process of collecting kinematic data is subjected to feature extraction processing to generate behavior parameter features and trajectory features. The behavior parameter features include in-rod time and quantitative data of rotation speed at the time of falling, and the trajectory features include kinematic data of limb swing amplitude and center of gravity offset recorded by a high-speed camera. Quantitative data is collected by the rotarod device and infrared sensors, including in-rod time (e.g., an average of 250.3 seconds for the control group and an average of 73.5 seconds for the experimental group) and rotation speed at the time of falling (an average of 33.3 revolutions / minute for the control group and an average of 9.8 revolutions / minute for the experimental group), with time records accurate to 0.1 seconds, directly reflecting differences in mouse balance ability.

[0033] Kinematic indicators are recorded and extracted by a high-speed camera (200 frames / second), including front paw swing amplitude (an average of ±15° for the control group and an average of ±25° for the experimental group), center of gravity offset (a maximum of 5 mm for the control group and a maximum of 12 mm for the experimental group), center of gravity stability index (0.8±0.1 for the control group and 1.5±0.3 for the experimental group), and limb slip duration (an average of 3.2 seconds for the experimental group and almost no slip for the control group), quantifying mouse movement coordination and stability.

[0034] Based on the full-field-of-view stimulus constraint, this study analyzes and processes visual stimulus characteristics, rotator motion characteristics, synchronization control characteristics, behavioral parameter characteristics, and trajectory characteristics. During data acquisition, parameter settings are verified to ensure compliance with equipment technical standards and experimental design logic. Motion balance ability data is generated, characterizing motion features under different visual states, resulting in motion data results that include visual stimulus parameters, rotator baseline data, and synchronization control logic. The four-screen layout is confirmed to cover a 0° to 180° field of view directly in front and a 0° to 45° field of view to the sides (without blind spots). The grid scrolling direction is consistent with the rotator rotation direction (horizontal to the right and clockwise), the synchronization delay is ≤1 frame (compliant with equipment technical standards), and parameters such as rotator diameter and acceleration are within preset ranges (2-3 cm, 0.1-5 revolutions / minute²), ensuring compliant experimental conditions.

[0035] The integrated analysis results formed motion characteristic data representing different visual states: the control group had a longer time on the stick, a higher drop speed, symmetrical limb swings, and a stable center of gravity; the experimental group had a shorter time on the stick, a lower drop speed, disordered limb swings, and a significant shift in the center of gravity. This data includes visual stimulus parameters (such as 0.3 cycles / deg), stick reference data (such as a 2.5 cm diameter), and synchronization control logic (such as directional consistency), fully reflecting the influence of visual state on motor balance ability.

[0036] S104 processes the collected kinematic data and combines it with functional parameters including visual state grouping and brain region neuron activation counts to generate data on the correlation between motor balance ability and brain function.

[0037] In one implementation, the collected kinematic data is extracted and standardized to generate quantitative indicators of motor balance ability, wherein each type of indicator is associated with a corresponding visual stimulus parameter label. Core indicators are extracted from the collected raw data and standardized: time on the stick (unit: seconds, accurate to 0.1 seconds), rotational speed during the fall (unit: revolutions per minute, accurate to 0.1 revolutions per minute), forelimb swing amplitude (unit: degrees), and center of gravity offset (unit: mm). Each type of indicator is associated with a visual stimulus parameter label, such as "time on the stick -0.3 cycles / deg -5° / s" and "center of gravity offset -0.3 cycles / deg -5° / s," clearly defining the correspondence between the indicators and visual stimulus conditions and ensuring data traceability.

[0038] Based on the quantitative indicators of motor balance ability, the kinematic data of different visual state groups are compared between groups to generate preliminary motor data results. Taking 8-week-old C57BL / 6 male mice as an example, the preliminary comparison results of the control group (normal vision) and the experimental group (mild visual impairment) are as follows: the control group has an average bar time of 250.3 seconds, an average rotation speed of 33.3 revolutions per minute when falling, a forepaw swing amplitude of ±15°, and a maximum center of gravity offset of 5 mm; the experimental group has an average bar time of 73.5 seconds, an average rotation speed of 9.8 revolutions per minute when falling, a forepaw swing amplitude of ±25°, and a maximum center of gravity offset of 12 mm. The preliminary results show that the control group is better than the experimental group in all indicators, suggesting that visual impairment may reduce the motor balance ability of mice.

[0039] The preliminary motor data results are statistically verified to generate target motor balance ability data, and a corresponding mapping relationship is established in the data set, with the key being the visual state grouping and the value being the associated kinematic indicators. The Kolmogorov-Smirnov test is used to verify the normality of the data, and the results show that both groups of data conform to the normal distribution (P>0.05). Independent sample t-test is used for further verification: the control group has a significantly longer bar time than the experimental group (t=9.842, P<0.001), a significantly higher rotation speed when falling than the experimental group (t=9.835, P<0.001), and significant differences in forepaw swing amplitude and center of gravity offset (all P<0.01). After generating the target data, the mapping relationship is established: the key is "control group" and the value is [bar time 250.3±35.4 seconds, falling rotation speed 33.3±4.7 revolutions per minute, forepaw swing amplitude ±15°±2°, center of gravity offset 5±1 mm]; the key is "experimental group" and the value is [bar time 73.5±19.0 seconds, falling rotation speed 9.8±2.5 revolutions per minute, forepaw swing amplitude ±25°±3°, center of gravity offset 12±2 mm].

[0040] After completing all the rotarod tests, the visual state grouping information and brain region neuron activation count data are matched and processed to generate functional parameter correlation characteristics, where the brain region neuron activation count data includes the number of c-fos positive neurons in the V1 and M2 regions. After all tests are completed, brain tissue sections of the two groups of mice are taken, and the number of c-fos positive neurons (diameter >5μm and fluorescence intensity higher than 2 times the background average) in the V1 and M2 regions is counted using a blind method: the control group has an average of 120 neurons per slice in the V1 region and an average of 85 neurons per slice in the M2 region; the experimental group has an average of 65 neurons per slice in the V1 region and an average of 40 neurons per slice in the M2 region. The counting results are matched with the visual state grouping to generate functional parameter correlation characteristics: "control group - V1 region 120±15, M2 region 85±10" "experimental group - V1 region 65±10, M2 region 40±8".

[0041] Correlation analysis was performed on the quantitative indicators of motor balance ability and the correlation characteristics of functional parameters to generate the motor-brain function interaction feature information. Pearson correlation analysis (data conforming to normal distribution) was used to find that: the stick time was positively correlated with the number of neuron activations in the V1 region (r=0.82, P<0.01) and the M2 region (r=0.75, P<0.01); the falling speed was positively correlated with the number of neuron activations in the V1 region (r=0.78, P<0.01). The interaction feature information was generated: the longer the stick time, the more neuron activations in the V1 region and the M2 region; the higher the falling speed, the more neuron activations in the V1 region, indicating that the activation intensity of the visual-motor brain region is positively correlated with the motor balance ability.

[0042] Statistical verification was performed on the motor-brain function interaction feature information to generate the target motor balance ability and brain function correlation data, and a corresponding mapping relationship was established in the data set, with the visual state group as the key and the combination of the correlated kinematic indicators and brain function parameters as the value. Statistical verification was performed on the motor-brain function interaction feature information to generate the target motor balance ability and brain function correlation data, and a corresponding mapping relationship was established in the data set, with the visual state group as the key and the combination of the correlated kinematic indicators and brain function parameters as the value.

[0043] Specifically, independent sample t-test was used for statistical verification of the interaction feature information, and the results showed that: the combination of the stick time (250.3±35.4 seconds), the number of neuron activations in the V1 region (120±15), and the number of neuron activations in the M2 region (85±10) in the control group was significantly different from the combination of the stick time (73.5±19.0 seconds), the number of neuron activations in the V1 region (65±10), and the number of neuron activations in the M2 region (40±8) in the experimental group (P<0.001).

[0044] The finally established mapping relationship is: the key is "control group", and the value is [stick time 250.3±35.4 seconds, falling speed 33.3±4.7 revolutions / minute, V1 region 120±15, M2 region 85±10]; the key is "experimental group", and the value is [stick time 73.5±19.0 seconds, falling speed 9.8±2.5 revolutions / minute, V1 region 65±10, M2 region 40±8].

[0045] S105, the correlation data and parameter settings are combined to perform processing according to the normality test and group statistical method to generate the visual-motor function evaluation result.

[0046] In one embodiment, the correlation data is processed based on the normality test result, the data distribution characteristics of the kinematic indicators and brain function parameters are judged by Kolmogorov-Smirnov test, and the descriptive parameters of the median of the non-normal distribution data are constructed. The collected kinematic indicators (pole time, falling rotation speed, limb swing amplitude, etc.) and brain function parameters (V1 area and M2 area c-fos positive neuron count) are subjected to Kolmogorov-Smirnov test. The results show that the pole time, falling rotation speed, and V1 area neuron activation number of the control group and the experimental group all conform to the normal distribution (all P>0.05), and are described by mean ± standard deviation (such as the pole time of the control group is 250.3±35.4 seconds); if a certain indicator (such as the limb slip duration of the experimental group) does not conform to the normal distribution (P<0.05), it is described by median (interquartile range), for example, "the limb slip duration of the experimental group is 3.2 seconds (2.1-4.5 seconds)".

[0047] The targeted selection of inter-group statistical methods is performed, the independent sample t-test is used to calculate the inter-group difference for the normally distributed data, the Wilcoxon rank-sum test is used to generate the rank difference result for the non-normally distributed data, and the precise adaptation of the statistical method is realized. For the indicators conforming to the normal distribution, such as the pole time, falling rotation speed, V1 area and M2 area neuron activation number, the independent sample t-test is used: the pole time of the control group is significantly longer than that of the experimental group (t=9.842, P<0.001), the falling rotation speed is significantly higher than that of the experimental group (t=9.835, P<0.001), and the V1 area neuron activation number is significantly more than that of the experimental group (t=8.621, P<0.001).

[0048] For the non-normally distributed indicators, such as the limb slip duration, the Wilcoxon rank-sum test is used: the median (3.2 seconds) of the experimental group is significantly higher than that of the control group (0 seconds) (Z=2.314, P=0.021), and the rank difference result is generated to reflect the inter-group difference.

[0049] The significance verification of visual state-parameter correlation is used to define the significance level of the motion balance ability and brain function correlation data of different visual state groups, and to strengthen the statistical reliability of the inter-group difference. The significance level of all inter-group comparison results is defined: P<0.05 means that the difference is statistically significant, P<0.01 means that the difference is significant, and P<0.001 means that the difference is extremely significant. For example, the differences in pole time, falling rotation speed, V1 area and M2 area neuron activation number between the control group and the experimental group all reach the extremely significant level (P<0.001), and the difference in limb slip duration reaches the significant level (P=0.021), and the reliability of the results is strengthened by clear significance labeling.

[0050] The results of the three types of statistical processing are combined to analyze the correlation data and generate visual-motor function evaluation results including the differences between kinematic index groups, the significance levels of brain function parameters, and the strength of visual-motor correlation. The evaluation results are used to represent the interaction characteristics of motor-brain function under different visual states. Specifically, regarding the differences between kinematic index groups, the control group has a rod time that is 176.8 seconds longer than the experimental group, a drop-off rotation speed that is 23.5 rotations per minute higher than the experimental group, and a limb swing amplitude symmetry that is 30% better than the experimental group (left-right bias coefficient of variation is lower);

[0051] Regarding the significance of brain function parameters, the control group has 55 more neurons activated in the V1 region (P<0.001) and 45 more neurons activated in the M2 region (P<0.001) than the experimental group. Regarding the strength of visual-motor correlation, the rod time is strongly positively correlated with the number of neurons activated in the V1 region (r=0.82, P<0.01), indicating that the visual state regulates motor balance ability by affecting the activation intensity of the V1 region. The final evaluation result is that the motor balance ability of visually normal mice (longer rod time, higher drop-off rotation speed, and more stable limb coordination) is significantly better than that of visually impaired mice, with significantly higher activation levels of neurons in the V1 and M2 regions, indicating that differences in visual state affect motor balance ability by regulating the function of the visual-motor brain circuit.

[0052] From the device layout, four LED screens are arranged in a surround mode. The bottom screen covers the entire bottom area of the rotating rod device, the front screen ensures coverage of the mouse's forward field of view, and the two side screens each cover the side field of view, forming a closed test space with no dead angles, allowing the mouse to receive visual stimuli in all visible ranges during movement. At the same time, the scrolling direction of the black and white bar grating presented by the screen is strictly consistent with the rotation direction of the rotating rod, which simulates the real linkage of visual navigation and motor adjustment in the natural environment, creating a physiological condition for the activation of the visual-motor neural circuit.

[0053] At the hardware level, the LED display screen has a refresh rate of ≥60Hz and a response time of ≤8ms, and the rotating rod rotation speed accuracy is controlled within ±0.2 rotations per minute, which ensures that there is almost no lag between visual stimulus movement and rotating rod mechanical movement. On the software side, Python program is used to realize synchronous rendering of four screens, with an error of ≤1ms, and the timestamps of visual parameters and motor parameters are recorded in real time, providing precise time dimension data support for subsequent correlation analysis.

[0054] According to the group experimental design, the kinematic parameters of visually normal mice and visually impaired mice were compared. The results showed that there were significant differences in fall time and fall speed between the two groups. This difference indicates that the visual state has a direct impact on the mouse's performance in the synchronous scene, and the difference in performance is the external manifestation of the different functional states of the visual-motor neural circuit, reflecting the regulatory effect of visual stimulation on motor function through the activation of related neural circuits.

[0055] The trajectory of the mouse was recorded by a high-speed camera, and the limb movement parameters and center of gravity change parameters were quantified by trajectory tracking software. The limb coordination symmetry, center of gravity shift amplitude and movement stability of mice in different groups were compared and analyzed. The differences in these trajectory characteristics can map the different states of visual-motor brain function in coordination control, providing behavioral evidence for brain function activity.

[0056] Direct presentation analysis of brain function activity, specifically, after all the rotarod tests were completed, the target brain regions (V1 region and M2 region) of the mice were subjected to immunofluorescence detection. The number of c-fos positive neuron cell bodies was counted by blind method. By comparing the number of neuron activation in mice with different visual states, it was found that the neuron activation level of visual cortex and motor cortex in normal mice under full-field synchronous stimulation was significantly higher than that in visually impaired mice, and there was a significant difference in neuron activation between with and without visual stimulation, verifying the regulatory effect of visual stimulation on the function of specific brain regions.

[0057] Correlation analysis of behavioral and brain function data, specifically, correlation analysis of movement parameters and activated neuron number in brain regions, the results showed that there was a significant positive correlation between the two. This correlation proves that full-field visual stimulation not only drives the activity of the visual cortex, but also regulates the function of the motor cortex through neural circuits. The movement behavior is the external manifestation of brain function activity, thus establishing a complete causal chain of "visual stimulus input - brain function change - movement output", realizing the direct presentation of visual-related motor brain function.

[0058] Compared with the limitations of traditional rotarod test which can only evaluate motor ability, full-field surround synchronous scene has obvious advantages. By precisely adjusting parameters such as grating spatial frequency and movement speed, specific neuron groups in the visual cortex can be activated, ensuring the specificity of the stimulus. At the same time, the real-time synchronization of visual stimulation and motor test ensures the accurate correspondence between brain function changes and specific visual-motor task stages. Combined with the verification of behavioral and brain function multidimensional data, the visual-related motor brain function is presented comprehensively and accurately.

[0059] The application selects a specific intensity of visual stimulus according to the visual state of the experimental animal, and synchronously implements the visual stimulus during the completion of a motion task represented by a rotarod test, thereby forming a motion task containing a specific intensity of visual load. The experimental animal synchronously completes the rotarod test motion task while watching the visual stimulus, and collects the time on the rod and the rotation speed of the rotarod when falling, as kinematic parameters for measuring the motion balance function of the mouse. After the mouse completes a specified number of motion tasks, brain tissue is obtained by using experimental operation techniques commonly used in neuroscience research, and tissue staining is observed, and the number of stained neuron cell bodies in a specific brain area is counted as a quantitative parameter of the functional activity intensity of the brain area. The above parameters are collected for mice in different visual states (normal mice, visually impaired mice), and statistical methods are selected for group comparison (normal mice vs. visually impaired mice) according to the distribution characteristics of the quantitative data, to evaluate the influence of visual state difference on motion balance ability and motion synchronous brain function.

[0060] In an embodiment, as shown in Figure 2 The application also provides a visual motion function test device based on full-field surround synchronous visual stimulation, which comprises:

[0061] The acquisition module 201 is configured to acquire visual stimulation parameters and rotarod device reference data.

[0062] The processing module 202 is configured to combine the visual stimulation parameters and the rotarod motion mode parameters, synchronously match the rolling direction of the strip grid and the rotation direction of the rotarod, establish a synchronous rule of visual stimulation and motion task based on four-screen linkage control technology and rotarod-screen adaptation design, generate a full-field stimulation constraint condition, process the visual stimulation parameters, the rotarod reference data, the synchronous control logic and the dynamic parameter combination constraint condition, collect the time on the rod, the rotation speed when falling and the motion trajectory data, process the collected kinematic data, combine the functional parameters including the visual state grouping and the neuron activation count of the brain area, generate motion balance ability and brain function correlation data, wherein the visual state grouping includes normal vision and visual impairment, process the correlation data and the parameter setting according to the normality test and the inter-group statistical method, and generate a visual-motor function evaluation result.

[0063] The computer-readable storage medium provided by the above embodiments of the application has the same beneficial effects as the method adopted, run or implemented by the application program stored therein, based on the same inventive concept as the visual motion function test method based on full-field surround synchronous visual stimulation provided by the embodiments of the application.

[0064] The various embodiments in the present application are described in a related manner, and the same or similar parts among the various embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, for the evaluation method of visual motor function test based on full field surround synchronous visual stimulation, electronic device, electronic equipment, and readable storage medium embodiments, since they are basically similar to the above-mentioned embodiments of the evaluation method of visual motor function test based on full field surround synchronous visual stimulation, the description is relatively simple, and the relevant parts can be referred to the above-mentioned embodiments of the evaluation method of visual motor function test based on full field surround synchronous visual stimulation.

Claims

1. A visual motor function test method based on all-around synchronous visual stimulation, characterized in that, The method comprises the following steps: acquiring visual stimulation parameters and rotating rod device reference data, the visual stimulation parameters including black and white bar grating spatial frequency and motion speed selected according to a visual state, the rotating rod device reference data including rotating rod diameter, acceleration, rotating speed range and four-screen surrounding layout parameters, the black and white bar grating spatial frequency being 0.1-1.0 cycle / deg, the motion speed being 0.1-10° / s, the rotating rod diameter being 2-3 cm, the acceleration being 0.1-5 revolutions / minute 2, the rotating speed range being 5-60 revolutions / minute and the four-screen surrounding covering a visual field of 0° to 180° in front and 0° to 45° on the side; combining the visual stimulation parameters and rotating rod motion mode parameters, synchronously matching the bar grating rolling direction and the rotating rod rotating direction, establishing a synchronous rule of visual stimulation and motion task based on four-screen linkage control technology and rotating rod-screen adaptive design, generating full visual field stimulation constraint conditions including spatial constraint conforming to full visual field coverage, time sequence synchronous constraint of visual stimulation and motion task and bar grating rotating rod direction consistency semantic constraint; processing based on the visual stimulation parameters, the rotating rod reference data, synchronous control logic and dynamic parameter combination constraint conditions, collecting rotating rod time, falling speed and motion trajectory data; processing the collected kinematic data, combining functional parameters including visual state grouping and brain region neuron activation count, generating motion balance ability and brain function correlation data, including extracting and standardizing the collected kinematic data, generating motion balance ability quantitative indexes, each type of index being associated with corresponding visual stimulation parameter labels; based on the motion balance ability quantitative indexes, comparing the kinematic data of different visual state groups, generating preliminary motion data results; statistically checking the preliminary motion data results, generating target motion balance ability data, and establishing corresponding mapping relationships in the data set; after completing all rotating rod tests, matching visual state grouping information and brain region neuron activation count data, generating functional parameter correlation features, the brain region neuron activation count data including V1 region and M2 region c-fos positive neuron numbers; performing correlation analysis on the motion balance ability quantitative indexes and the functional parameter correlation features, generating motion-brain function interaction feature information; statistically checking the motion-brain function interaction feature information, generating target motion balance ability and brain function correlation data, and establishing corresponding mapping relationships in the data set, the key being visual state grouping, the value being associated kinematic indexes and brain function parameter combinations, the visual state grouping including normal vision and visual impairment; processing the correlation data and parameter settings according to normality test and inter-group statistical method, generating visual-motor function evaluation results.

2. The method of claim 1, wherein, The method comprises the following steps: combining the visual stimulation parameters and rotating rod motion mode parameters, synchronously matching the bar grating rolling direction and the rotating rod rotating direction, based on four-screen linkage control technology and rotating rod-screen adaptive design, establishing a synchronous rule of visual stimulation and motion task, generating full visual field stimulation constraint conditions, including: The visual stimulus parameter and the rotating rod movement mode parameter are combined and analyzed to generate a direction matching simulation correlation degree analysis result of the bar grating rolling and the rotating rod rotation; The correlation degree analysis result is filtered to generate a target simulation variable list, and the target simulation variable list includes a bar grating movement direction parameter, a rotating rod rotation direction parameter, a four-screen synchronous refresh delay parameter, and a rotating rod-screen center alignment deviation parameter; The correlation degree analysis result and the target simulation variable list are processed to generate parameter combination constraint conditions, including a spatial constraint of full visual field coverage, a timing synchronization constraint of the visual stimulus and the movement task, and a bar grating-rotating rod direction consistency semantic constraint.

3. The method of claim 2, wherein, Based on the visual stimulus parameter, the rotating rod reference data, the synchronous control logic, and the dynamic parameter combination constraint condition, in-bar time, falling speed, and movement trajectory data are collected, including: The visual stimulus parameter, the rotating rod reference data, and the dynamic parameter combination constraint condition are processed for feature extraction to generate visual stimulus features, rotating rod movement features, and synchronous control features; The process of collecting kinematic data is processed for feature extraction to generate behavior parameter features and trajectory features, wherein the behavior parameter features include quantitative data of in-bar time and falling speed, and the trajectory features include kinematic data of limb swing amplitude and center of gravity offset recorded by a high-speed camera; Based on the full visual field stimulus constraint condition, the visual stimulus features, the rotating rod movement features, the synchronous control features, the behavior parameter features, and the trajectory features are analyzed and processed to verify whether the parameter settings meet the equipment technical standards and the experimental design logic during data collection, and to generate movement balance ability data, wherein the movement balance ability data is used to represent movement features in different visual states, and to form movement data results including the visual stimulus parameter, the rotating rod reference data, and the synchronous control logic.

4. The method of claim 1, wherein, The correlation data and the parameter settings are processed based on normality test and inter-group statistical method to generate visual-motor function evaluation results, including: Based on the normality test result, the correlation data is adapted, and the data distribution characteristics of kinematic indexes and brain function parameters are determined by Kolmogorov-Smirnov test, and the descriptive parameters of the median of non-normal distribution data are constructed; The inter-group statistical method is selected, the independent sample t-test is used for normal distribution data to calculate the inter-group difference, the Wilcoxon rank sum test is used for non-normal distribution data to generate rank difference results, and the statistical method is accurately adapted; The significance of the visual state-parameter correlation is verified, the movement balance ability and brain function correlation data of different visual state groups are defined, and the statistical reliability of the inter-group difference is strengthened; The correlation data is integrated and analyzed based on the three types of statistical processing results to generate visual-motor function evaluation results including kinematic index inter-group difference values, brain function parameter significance levels, and visual-motor correlation strengths, wherein the evaluation results are used to represent movement-brain function interaction characteristics in different visual states.

5. A visual-motor function testing device based on all-around synchronous visual stimulation of full visual field for implementing the method of claim 1, characterized in that, The device includes: an acquisition module configured to acquire visual stimulus parameters and rotating rod device reference data; The processing module is used for combining the visual stimulation parameters and the rotating rod movement mode parameters, synchronously matching the rolling direction of the strip grid and the rotating direction of the rotating rod, establishing the synchronous rule of the visual stimulation and the movement task based on the four-screen linkage control technology and the rotating rod-screen adaptive design, and generating the full visual field stimulation constraint condition; processing based on the visual stimulation parameters, the rotating rod reference data, the synchronous control logic and the dynamic parameter combination constraint condition, collecting the rotating rod time, the rotating speed when falling and the movement trajectory data; processing the collected kinematic data, combining the functional parameters including the visual state grouping and the brain region neuron activation count, generating the movement balance ability and brain function correlation data, wherein the visual state grouping includes normal vision and visual impairment; processing the correlation data and the parameter setting according to the normality test and the inter-group statistical method, and generating the visual-movement function evaluation result.

6. An electronic device, comprising: Comprise: a first processor; and a memory for storing executable instructions of the first processor; wherein the first processor is configured to perform the visual-movement function test method based on the full visual field surround synchronous visual stimulation of any one of claims 1-4 via executing the executable instructions.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that The computer program is executed by the second processor to implement the visual-movement function test method based on the full visual field surround synchronous visual stimulation of any one of claims 1-4.

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