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CN-122004900-A - Multi-mode joint evaluation method for restoration effect of ocular brain assembly

CN122004900ACN 122004900 ACN122004900 ACN 122004900ACN-122004900-A

Abstract

The invention discloses a multi-mode joint evaluation method for an eye-brain assembly repair effect, and belongs to the technical fields of biomedical engineering and neuroscience. The method aims to solve the problems that the existing assessment means cannot reflect function integration in real time in a living body state, effective remodeling and disordered growth are distinguished by lack of specific indexes, and false positive is caused by easy interference of single behavioural test. The method comprises the steps of presenting specific visual stimulus to a transplant receptor, synchronously collecting local field potential of a primary visual cortex, extracting Low Gamma frequency band signals to calculate a direction selectivity index and brain network topology attribute, simultaneously carrying out layered visual behavioural test of feeling space cognition from basic light, finally constructing a binary decision matrix based on thresholding scores of electrophysiological and behavioural indexes, and outputting four classification quantitative evaluation conclusion including effective functional repair, thereby realizing accurate and standardized judgment of visual cortex repair effect.

Inventors

  • CHEN LIQUN
  • YAN BING
  • MING DONG

Assignees

  • 天津大学

Dates

Publication Date
20260512
Application Date
20260326

Claims (10)

  1. 1.A multi-modal joint assessment method of ocular brain assembly repair effect, comprising: Presenting visual stimuli comprising different orientations to an experimental object transplanted with an ocular brain assembly, and synchronously collecting local field potential signals of a primary visual cortex of the experimental object; processing the local field potential signals, extracting nerve oscillation signals of specific frequency bands, and calculating an electrophysiological index for representing visual feature selectivity and a topological index for representing brain network integration degree based on the oscillation signals; Performing simplified-to-complex hierarchical visual behavioural test on the experimental object to obtain behavioural indexes corresponding to visual perception of different hierarchies; And respectively carrying out binarization scoring on the electrophysiological index and the behavioural index according to a preset threshold value, constructing a joint decision matrix based on the scoring result, and outputting a four-classification evaluation conclusion on the ocular and brain assembly repair effect.
  2. 2. The method of claim 1, wherein the step of determining the position of the substrate comprises, The visual stimulus is a drifting sinusoidal grating presented on a screen, the presentation paradigm of the visual stimulus is an event-related design, each test time comprises a visual stimulus presentation period and an equal-brightness gray screen interval period, and the stimuli with different orientations are presented in a pseudo-random sequence for a plurality of cycles.
  3. 3. The method of claim 2, wherein the step of determining the position of the substrate comprises, The specific frequency band is a Low Gamma frequency band, and the extraction process comprises the steps of carrying out band-pass filtering on the local field potential signal to obtain a nerve oscillation signal of the Low Gamma frequency band, and calculating the relative power change of the oscillation signal relative to a baseline period during visual stimulus presentation.
  4. 4. The method of claim 3, wherein the step of, The electrophysiological index used for representing the visual feature selectivity is a direction selectivity index, and the calculating process comprises the step of calculating the direction selectivity index through a vector synthesis method based on the relative power values of the Low Gamma frequency band nerve oscillation signals responding to different visual stimuli.
  5. 5. The method of claim 3, wherein the step of, The topological index for representing the integration degree of the brain network comprises global efficiency and a clustering coefficient, and the calculation process comprises the steps of constructing a functional connection network based on the Low Gamma frequency band nerve oscillation signals acquired by multiple channels by adopting a synchronous likelihood estimation algorithm, and further calculating the global efficiency and the clustering coefficient of the functional connection network.
  6. 6. The method of claim 1, wherein the step of determining the position of the substrate comprises, The layered visual behavioural test comprises a light and dark box experiment for testing basic light sensation capability, a visual cliff experiment for testing depth perception capability and a visual water maze experiment for testing graphic spatial resolution capability.
  7. 7. The method of claim 5, wherein the step of determining the position of the probe is performed, The process of carrying out binarization scoring on the electrophysiological index comprises the steps of setting a judgment threshold value for the direction selectivity index, the global efficiency and the clustering coefficient respectively, counting the index number reaching the corresponding threshold value, and judging that the electrophysiological dimension score reaches the standard when the index number reaching the threshold value is not less than a set value.
  8. 8. The method of claim 1, wherein the step of determining the position of the substrate comprises, The four-classification evaluation conclusion comprises that the electrophysiology score and the behavioural score both reach the standard and correspond to effective functional restoration, only the electrophysiology score reaches the standard and corresponds to invalid connection, only the behavioural score reaches the standard and corresponds to non-cortical dependent compensation, and both the electrophysiology score and the behavioural score do not reach the standard and correspond to non-restoration.
  9. 9. A computer terminal device, comprising: one or more processors; A memory coupled to the processor for storing one or more programs; when executed by the one or more processors, causes the one or more processors to implement the steps of the method of any of claims 1-8.
  10. 10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-8.

Description

Multi-mode joint evaluation method for restoration effect of ocular brain assembly Technical Field The invention belongs to the technical fields of biomedical engineering and neuroscience, and particularly relates to a multi-mode joint evaluation method for an eye-brain assembly repairing effect. Background In the technical fields of biomedical engineering, neuroscience and brain-computer interface evaluation, evaluation of the effect of repairing an ocular and brain assembly (such as organoids or stem cell grafts) after injury to the visual cortex has been a key technical challenge. Currently, three types of technical means are mainly relied on, but the three types of technical means have obvious limitations in specific application scenes. First, morphological assessment methods, represented by immunohistochemical or neuropracer techniques, operate on the basis of the observation of sections of isolated tissues. This method only statically evaluates the survival status of the graft and the structural integrity of the axon projection, but cannot characterize in real time and dynamically on a living animal model whether the repaired neurons have real electrical signal transmission and information processing capabilities. In practical applications, this makes it difficult for researchers to distinguish whether the graft forms an effective functional neural circuit or merely a nonfunctional, cluttered growth occurs, and thus the substantial effect of repair cannot be accurately judged. Second, conventional electrophysiological evaluation indexes, such as amplitude and latency variation of visual evoked potentials, or broadband brain energy analysis, are challenging in practical applications due to their lack of sufficient specificity. The damaged brain region is often accompanied by abnormal or disordered spontaneous nerve activity, and nonspecific light reflection can also induce similar signals, so that the specific extraction capacity of the nerve tissue to visual characteristics (such as direction and spatial frequency) after the conventional electrophysiological index is difficult to accurately quantify, false positive of an evaluation result is extremely easy to be caused, and meaningless electric activity is judged to be functional recovery by mistake. Furthermore, the evaluation result is greatly error and the neural loop level of function recovery cannot be distinguished by purely depending on visual behavioural tests, such as a light-dark box experiment. Such tests are highly susceptible to motor deficits in the laboratory animals themselves, fluctuations in anxiety levels, or interference with retained subcortical reflex pathways (such as the cumulus pathway). In practical tests, animals may only exhibit basic light sensation capability, but this cannot prove that their advanced visual cortex functions (such as depth perception, pattern recognition or spatial navigation) are restored, so that evaluation conclusion is ambiguous and a complete evidence chain from electrophysiological activity of microscopic nerve loops to visual perception behavior of macroscopic animals cannot be constructed. The respective drawbacks of these prior art approaches, and the lack of an effective joint verification mechanism between them, make the accurate, quantitative, standardized assessment of the functional repair effect of ocular brain assemblies after implantation very difficult. Disclosure of Invention In order to solve the technical problems, the invention provides a multi-mode joint evaluation method for the restoration effect of an eye-brain assembly, which aims to solve the problems in the prior art. In order to achieve the above object, the present invention provides a multi-modal joint evaluation method for repairing effect of ocular and cerebral assemblies, comprising the steps of: Presenting visual stimuli comprising different orientations to an experimental object transplanted with an ocular brain assembly, and synchronously collecting local field potential signals of a primary visual cortex of the experimental object; processing the local field potential signals, extracting nerve oscillation signals of specific frequency bands, and calculating an electrophysiological index for representing visual feature selectivity and a topological index for representing brain network integration degree based on the oscillation signals; Performing simplified-to-complex hierarchical visual behavioural test on the experimental object to obtain behavioural indexes corresponding to visual perception of different hierarchies; And respectively carrying out binarization scoring on the electrophysiological index and the behavioural index according to a preset threshold value, constructing a joint decision matrix based on the scoring result, and outputting a four-classification evaluation conclusion on the ocular and brain assembly repair effect. Optionally, the visual stimulus is a drifting sinusoidal grating presented on a s