CN-116327217-B - Analgesic system based on cerebral nerve oscillation regulation and control

CN116327217BCN 116327217 BCN116327217 BCN 116327217BCN-116327217-B

Abstract

The invention provides an analgesic system based on cerebral nerve oscillation regulation and control, which relates to the technical field of pain regulation and control, and comprises the steps of firstly establishing a brain signal standardization information base of healthy people, comparing brain nerve signal indexes of each pain patient with a standard normal range obtained by the brain signal standardization information base of the healthy people, determining abnormal brain nerve indexes of each pain patient, analyzing the correlation between the behavior indexes and the abnormal brain nerve indexes of each pain patient according to the pain specificity of each pain patient, determining potential regulation and control targets, selecting a regulation and control target and a regulation and control mode to be interfered from the potential regulation and control targets, selecting different regulation and control modes according to actual requirements, carrying out pain regulation and control on the pain patient, and then evaluating the pain regulation and control effect, thereby achieving the effect of relieving pain.

Inventors

PENG WEIWEI
ZHENG QIANQIAN
LI XIAOYUN

Assignees

深圳大学

Dates

Publication Date: 20260505
Application Date: 20230327

Claims (8)

1. An analgesic system based on the modulation of cerebral nerve oscillations, said system comprising: The brain signal standardized information base construction module of the healthy people is used for extracting brain nerve signal indexes of brain signals of the healthy people, determining the standard normal range of the brain nerve signal indexes, and forming a brain nerve signal standardized information base of the healthy people; The abnormal cranial nerve signal index extraction module is used for extracting the cranial nerve signal index of the brain electrical signal of the pain patient, comparing the cranial nerve signal index of the pain patient with a standard normal range, and if the cranial nerve signal index of the pain patient exceeds the normal range, the cranial nerve signal index of the pain patient is the abnormal cranial nerve signal index; The pain potential regulation and control target point extraction module is used for acquiring brain electrical signals of a pain patient, acquiring behavior indexes of the pain patient, analyzing the correlation between the behavior indexes and abnormal brain nerve signal indexes, and determining potential regulation and control targets of the pain patient according to the correlation; the pain regulation and control module is used for selecting a regulation and control target point to be intervened from potential regulation and control target points, selecting different regulation and control modes according to actual demands and carrying out pain regulation and control on a pain patient, wherein the pain regulation and control module comprises a regulation and control target point selection module, a regulation and control mode selection module and a regulation and control execution module; the regulation mode selected by the regulation mode selection module is a regulation mode integrating nerve feedback training and transcranial alternating current stimulation, and when the regulation execution module executes regulation intervention, the regulation mode selection module comprises the following intervention steps: s1, determining a regulation target point to be intervened, a feedback type and total training duration, initializing training difficulty, and starting nerve feedback training; S2, analyzing the change of a regulating target point to be interfered of a trained individual on line in real time based on a feedback type, and feeding back the change of the regulating target point to be interfered to the trained individual, wherein the neural oscillation activity response of the cerebral cortex of the trained individual is concerned; s3, judging whether the trained individual can consciously strengthen or weaken the nerve oscillation activity of the cerebral cortex, if so, giving positive feedback, recording the training time length of the positive feedback, and executing the step S4, otherwise, executing the step S4; s4, judging whether the total training time is up, if so, ending the nerve feedback training, and executing the step S5, otherwise, raising the training difficulty, and returning to the step S2; s5, counting the total training time length of which the training difficulty is higher than a set training difficulty threshold and positive feedback is given, determining the training efficiency of the nerve feedback training according to the total training time length, and executing the step S6; S6, judging whether the training efficiency is lower than a training efficiency threshold, if so, starting transcranial alternating current stimulation, assisting in nerve feedback training, continuing to execute regulation and control intervention until the training efficiency reaches the training efficiency threshold, converting into nerve feedback training, and returning to the step S4; and the regulation and control effect evaluation module is used for evaluating the pain regulation and control effect.
2. The analgesic system of claim 1 wherein the process of forming the normalized information base of brain signals for healthy people is: Firstly, selecting healthy people, taking the healthy people as a total normal mode group, dividing the total normal mode group into a plurality of layers according to regions, ages and sexes, randomly extracting a plurality of healthy individual members from each layer to form a normal mode group of the layer, and creating an information database facing the normal mode group of each layer, wherein the information database comprises the sexes, the ages and the psychological states; then, the resting state eye-closing brain electrical signals of the individuals in each level normal mode group are collected in stages and for many times, the collected brain electrical signals are preprocessed, and brain nerve signal indexes of the brain electrical signals are extracted, wherein the brain nerve signal indexes comprise frequency spectrum energy characteristics, function connection characteristics and brain network characteristics, the brain nerve signal indexes of each level are used as normal modes, a section (-3 sigma j ,+3σ j ) is formed by negative standard deviation-3 sigma j and positive standard deviation +3 sigma j of data corresponding to the normal modes, and the section (-3 sigma j ,+3σ j ) is used as a standard normal range of the brain nerve signal indexes, wherein j represents the sequence of the brain nerve signal indexes, and therefore a brain nerve signal standardized information base of healthy people is formed.
3. The analgesic system based on the oscillation regulation of brain nerve of claim 2 wherein the abnormal brain nerve signal index extraction module, when extracting the brain electrical signal of the painful patient, acquires the resting closed-eye brain electrical signal of the painful patient in stages and for a plurality of times, preprocesses the acquired brain electrical signal, and extracts the brain nerve signal index of the brain electrical signal, including spectral energy characteristics, functional connection characteristics and brain network characteristics, as the brain nerve signal index of the painful patient; And comparing the cranial nerve signal index of the pain patient with the standard normal range, and if the cranial nerve signal index of the pain patient exceeds the standard normal range, taking the cranial nerve signal index of the pain patient as an abnormal cranial nerve signal index.
4. The analgesic system of claim 3 wherein in said potential target point for pain control extraction module, resting closed-eye electroencephalogram signals of the pain patient are collected in stages and multiple times, current pain state scores of the pain patient are reported, and the pain state scores are used as behavioral indicators, wherein the pain states comprise a "non-pain" state, a "mild pain" state and a "severe pain" state; Analyzing the correlation between the behavior index and the abnormal brain nerve signal index to obtain a correlation coefficient, and taking the absolute value of the correlation coefficient as an index of the correlation; And setting a correlation threshold, and taking a behavior index with the absolute value of the correlation coefficient larger than the correlation threshold as a potential regulation target point of the pain patient.
5. The analgesic system of claim 4 wherein said regulatory target selection module selects a regulatory target to be intervened from potential regulatory targets, compares a change in a cranial nerve oscillation pattern of an abnormal cranial nerve signal index of a patient with pain in different pain states, and uses the abnormal cranial nerve signal index that changes with the change in the pain state as a cranial nerve oscillation index that is sensitive to the degree of pain, said regulatory mode selection module selects a regulatory mode, and said regulatory execution module performs regulatory intervention on the regulatory target to be intervened according to the regulatory mode.
6. The analgesic system of claim 5 wherein, when the regulatory target selection module selects a regulatory target to be intervened from among the potential regulatory targets, the regulatory target selection module ranks the correlation coefficients of the potential regulatory targets from high to low, and the regulatory target selection module selects the potential regulatory target with the highest correlation coefficient as the regulatory target.
7. The analgesic system of claim 5 wherein, when the regulatory target selection module selects a regulatory target to be intervened from among the potential regulatory targets, the regulatory target to be intervened is selected from among the potential regulatory targets according to a user's own needs.
8. The brain-oscillation-modulation-based analgesia system of claim 1, wherein the feedback type comprises visual, auditory, or tactile; the training efficiency calculation formula of the nerve feedback training in step S5 is as follows: 。

Description

Analgesic system based on cerebral nerve oscillation regulation and control Technical Field The invention relates to the technical field of pain regulation, in particular to an analgesic system based on cerebral nerve oscillation regulation. Background Neural oscillations are a rhythmic or repetitive neuronal electrical activity that is widely present in the cerebral cortex, hippocampus, subcortical structures, and sensory organs. Numerous studies have shown that there are different frequency bands of neural oscillations in the human brain that reflect the periodic changes in the excitability level of a cluster of neurons. These different forms of oscillatory activity play an important role in brain processing, transmitting and integrating sensory information, consolidating memory, and advanced cognitive activities (e.g., attention, decision, behavior, etc.), respectively. Pain is a complex perception, a complex phenomenon resulting from dynamic interactions between sensation and context (including cognitive, emotional, and motivational) processes. There have been studies showing that the pain information processing process involves synchronization of nerve oscillations in a plurality of brain regions and a plurality of frequency bands, and that the development of clinical pain is associated with abnormal nerve oscillation activity. For example, pain induces an increase in gamma (30-100 Hz) band neural oscillations and a decrease in alpha (8-13 Hz) band neural oscillations, involved in the bottom-up and top-down information processing, respectively, and associated with stimulus intensity and pain perception coding. Chronic pain manifests itself as abnormal motor oscillations, such as a decrease in alpha and an increase in gamma oscillations, and is associated with the intensity of pain that the patient self-reports. Thus, modulation of these neural oscillatory events associated with pain coding would potentially achieve effective relief of pain. The nerve feedback technology and transcranial alternating current stimulation serve as non-invasive brain nerve regulation technology means, become leading edge hot spots in the current brain science and rehabilitation fields, and are considered to be novel pain regulation means with full potential. The nerve feedback technology utilizes the action principle of the operational condition, and feeds back the brain nerve oscillation activity of the individual to the individual in real time through feedback forms such as vision, hearing and the like, so that the individual can know the psychological and physiological states of the individual, and strengthen or weaken the nerve activity of the relevant cortex through self consciousness, thereby achieving the purposes of self regulating the internal psychological and physiological changes and optimizing the physical and psychological states. The nerve feedback helps individuals to realize autonomous regulation of brain functional activities by feeding back brain nerve activities in real time, and has the advantages of safety, no wound and no side effect. However, the existing studies show that there are large inter-individual differences in the effects of nerve feedback, and the proportion of non-responders (unable to successfully and autonomously regulate brain nerve activity) is 20% -50%. If other auxiliary means can be combined, the nerve feedback effect can be improved. Transcranial alternating current stimulation is a novel non-invasive nerve regulation means, and the amplitude and intensity of spontaneous brain nerve oscillations can be specifically regulated through interaction of alternating current with specific frequency and spontaneous brain nerve oscillations, so that the aim of regulating perception and behavior is fulfilled. Methods and systems for modulating brain oscillation activity are disclosed in the prior art, using one or more non-invasive stimuli, alone or in combination, to increase, decrease or otherwise modulate neural oscillations, spontaneously generated rhythmic and/or repetitive electrical activity, and to act as pain management in response to central nervous tissue stimulation, but with respect to the non-invasive stimulation management pattern, the overall effect of the analgesic effect is relatively single, and the brain nerve oscillation pattern of the painful patient is specifically altered, requiring the design of a corresponding brain nerve oscillation management strategy to maximize the analgesic effect. Disclosure of Invention In order to solve the problems of single nerve regulation mode and poor analgesic effect of the traditional analgesic for the painful patients, the invention provides an analgesic system based on brain nerve oscillation regulation, which is used for specifically regulating and controlling individualized nerve oscillation indexes of the painful patients by fusing a nerve feedback technology and a transcranial alternating current stimulation technology, thereby