Method and system for evaluating early cognitive dysfunction of chronic pain patient

Abstract

The invention relates to the technical field of cognitive function assessment, and discloses a chronic pain patient early cognitive function abnormality assessment method and system, and the method comprises the steps: obtaining the MoCA scale score and electroencephalogram rsEEG signals of a target population; according to the MoCA scale score and the electroencephalogram rsEEG signal of the target population, obtaining MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, chronic pain patients with normal cognition and healthy population, and constructing a chronic pain database; and comparing the basic information, the MoCA total score, the domain score and the brain region power spectrum ratio of the to-be-detected person with data of a chronic pain database to obtain an early cognitive function abnormality assessment result of the chronic pain patient. According to the method, MoCA scale scoring and the rsEEG technology are combined, quantitative objective markers for chronic pain cognitive dysfunction are determined, and doctors are effectively assisted in recognizing chronic pain patients with cognitive function impairment as early as possible and preventing and treating the chronic pain patients in time.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to the Chinese patent application (application number 202311608182.6) filed on November 27, 2023, and the entire contents of that patent application are incorporated herein by reference. Technical Field

[0003] The present invention relates to the technical field of cognitive function assessment, and in particular to a method and system for assessing early cognitive dysfunction in patients with chronic pain. Background Art

[0004] Chronic pain is a multidimensional disease that is often accompanied by negative emotions and cognitive impairment in addition to abnormal pain sensation. Studies have shown that chronic pain is often accompanied by a decline in cognitive function, including attention, learning and memory, information processing speed and psychomotor ability, and executive function. It is worth noting that persistent pain interference, rather than pain intensity, is significantly associated with poor cognitive performance, cognitive impairment, or subjective memory decline, and cognitive impairment associated with chronic pain can increase by 21% every 2 years. Studies have found that pain and mild cognitive impairment (MCI) are dose-dependent, suggesting the possibility of chronic pain as a risk factor for MCI.

[0005] At present, the most commonly used neuropsychological scale for clinical cognitive function assessment is still the Montreal cognitive assessment (MoCA). Compared with elderly people without pain, elderly people with chronic pain have lower MOCA scores in executive function, attention, memory and language. However, subjective scales are easily interfered by other factors of the patient, which reduces the reliability of sensitivity and specificity, resulting in the inability to assist physicians in identifying patients with impaired cognitive function as early as possible, affecting disease prevention and treatment.

[0006] Therefore, a new method for assessing early cognitive dysfunction in patients with chronic pain is urgently needed to assist physicians in identifying chronic pain patients with cognitive dysfunction as early as possible. Summary of the invention

[0007] The present invention provides a method and system for evaluating early abnormal cognitive function in patients with chronic pain, so as to solve the defect that the prior art cannot assist physicians in identifying chronic pain patients with impaired cognitive function as early as possible, thus affecting disease prevention and treatment.

[0008] The present invention provides a method for evaluating early cognitive dysfunction in patients with chronic pain, comprising:

[0009] Obtaining the MoCA (Montreal cognitive assessment) scale scores and rsEEG (resting-state electroencephalography) signals of the target population, including chronic pain patients and healthy people;

[0010] According to the MoCA scale scores and EEG rsEEG signals of the target population, the MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, the MoCA score data and rsEEG data of chronic pain patients with normal cognition, and the MoCA score data and rsEEG data of healthy people were obtained;

[0011] Based on the MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, the MoCA score data and rsEEG data of chronic pain patients with normal cognition, and the MoCA score data and rsEEG data of healthy people, a chronic pain database was constructed to assist physicians in the early assessment of cognitive dysfunction in chronic pain patients.

[0012] According to a method for evaluating early cognitive dysfunction in patients with chronic pain provided by the present invention, the MoCA score data and rsEEG data of chronic pain patients with cognitive dysfunction, the MoCA score data and rsEEG data of chronic pain patients with normal cognition, and the MoCA score data and rsEEG data of healthy people are obtained according to the MoCA scale scores and EEG rsEEG signals of the target population, including:

[0013] According to the MoCA scale scores of the target population, the total MoCA score of the target population was obtained;

[0014] According to the rsEEG signals of the target population, the electrode area power spectrum ratio and brain area power spectrum ratio of the target population are obtained;

[0015] The target population's MoCA total score, electrode region power spectrum ratio, and brain region power spectrum ratio were stratified according to the preset stratification indicators to obtain the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients and healthy people;

[0016] According to the preset MoCA scoring criteria, the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients were classified, and the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients with abnormal cognition and the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients with normal cognition were obtained.

[0017] According to a method for evaluating early cognitive dysfunction in patients with chronic pain provided by the present invention, the EEG rsEEG signal is a continuous brain wave without artifacts in a target population in an awake state with eyes closed and resting EEG for at least several minutes (e.g., 3 minutes), and the frequency bands for collecting the EEG rsEEG signal include at least 7.9-13.9 Hz, 13.9-30.0 Hz, 1.0-3.9 Hz, and 3.9-7.9 Hz.

[0018] According to a method for evaluating early cognitive dysfunction in patients with chronic pain provided by the present invention, the MoCA total score of the target population is obtained according to the MoCA scale score of the target population, including:

[0019] According to the MoCA scale scores of the target population, the MoCA scores of the target population in the visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation ability were obtained;

[0020] The MoCA scores of the target population in each domain of visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation were summed up to obtain the total MoCA score of the target population.

[0021] According to a method for evaluating early cognitive dysfunction in patients with chronic pain provided by the present invention, the electrode region power spectrum ratio and brain region power spectrum ratio of the target population are obtained based on the rsEEG signal of the target population, including:

[0022] According to the rsEEG signals of the target population, the power spectrum ratios of the target population in the F3, F4, F7, F8, FZ, C3, C4, CZ, T3, T4, T5, T6, P3, P4, PZ, O1, and O2 electrode areas were obtained by Fourier transform method. The power spectrum ratio of each electrode area is defined as α represents the frequency band of 7.9~13.9Hz, β represents the frequency band of 13.9~30.0Hz, δ represents the frequency band of 1.0~3.9Hz, and θ represents the frequency band of 3.9~7.9Hz;

[0023] According to the power spectrum ratios of the electrode areas of the target population, the power spectrum ratios of the frontal area, central area, temporal area, parietal area and occipital area of ​​the target population are obtained, wherein the power spectrum ratio of the frontal area is the sum of the power spectrum ratios of the F3, F4, F7, F8 and FZ electrode areas, the power spectrum ratio of the central area is the sum of the power spectrum ratios of the C3, C4 and CZ electrode areas, the power spectrum ratio of the temporal area is the sum of the power spectrum ratios of the T3, T4, T5 and T6 electrode areas, the power spectrum ratio of the parietal area is the sum of the power spectrum ratios of the P3, P4 and PZ electrode areas, and the power spectrum ratio of the occipital area is the sum of the power spectrum ratios of the O1 and O2 electrode areas.

[0024] According to a method for evaluating early cognitive dysfunction in patients with chronic pain provided by the present invention, the preset stratification indicators include any one of the following or any combination thereof: age group, gender, and years of education. The age group includes any one of the following or any combination thereof: 18-30 years old, 31-40 years old, 41-50 years old, 51-60 years old, and 61-70 years old. The gender includes male and female. The years of education include any one of the following or any combination thereof: junior high school (≤9 years), high school or technical secondary school (9-12 years), undergraduate or junior college (15-17 years), and graduate student (≥18 years).

[0025] According to a method for evaluating early cognitive dysfunction in chronic pain patients provided by the present invention, the MoCA features and rsEEG features of each layer of the chronic pain patient population are classified according to a preset MoCA scoring standard to obtain the MoCA features and rsEEG features of each layer of chronic pain patients with cognitive abnormalities and the MoCA features and rsEEG features of each layer of chronic pain patients with normal cognition, including:

[0026] Chronic pain patients with less than 12 years of education and MoCA total score less than 25 points were identified as chronic pain patients with cognitive abnormalities, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with cognitive abnormalities;

[0027] Chronic pain patients with less than 12 years of education and MoCA total score greater than or equal to 25 points were judged as chronic pain patients with normal cognition, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with normal cognition;

[0028] Chronic pain patients with more than 12 years of education and a MoCA total score of less than 26 points were identified as chronic pain patients with cognitive abnormalities, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with cognitive abnormalities;

[0029] Chronic pain patients with more than 12 years of education and a MoCA total score greater than or equal to 26 points were judged as chronic pain patients with normal cognition, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with normal cognition.

[0030] Compared with chronic pain patients with normal cognition, chronic pain patients with abnormal cognition had any of the following MoCA and rsEEG characteristics or any combination thereof: decreased MoCA scores in the two domains of language ability and delayed memory, increased EEG power spectrum ratios in the frontal lobe, central area, temporal lobe, parietal lobe, and occipital lobe, and an enhanced negative correlation between the correlation coefficients of the MoCA score of language ability and the power spectrum ratios in the central area, temporal lobe, and parietal lobe.

[0031] The present invention also provides a method for evaluating early cognitive dysfunction in patients with chronic pain, comprising:

[0032] The basic information of the subjects, MoCA total score and domain scores, and brain region power spectrum ratios are obtained. The subjects are patients with chronic pain. The basic information includes any one of the following or any combination thereof: age, gender, and years of education. The domains include any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation ability. The brain regions include any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, and occipital lobe.

[0033] The basic information, MoCA total score and domain scores, and brain region power spectrum ratio of the subject are compared with the MoCA features and rsEEG features of healthy people, chronic pain patients with abnormal cognition, and chronic pain patients with normal cognition in the chronic pain database constructed by the early cognitive dysfunction assessment method for chronic pain patients described in any of the above items to obtain the early cognitive dysfunction assessment results for chronic pain patients. The early cognitive dysfunction assessment results for chronic pain patients include any of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

[0034] The present invention also provides a system for evaluating early cognitive dysfunction in patients with chronic pain, comprising:

[0035] The data acquisition module is used to obtain basic information of the subject, MoCA total score and domain score, and brain region power spectrum ratio, wherein the subject is a chronic pain patient, the basic information includes any one of the following or any combination thereof: age, gender, years of education, the domain includes any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, orientation, and the brain region includes any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, occipital lobe;

[0036] The evaluation module is used to compare the basic information of the subject, the MoCA total score and domain scores, and the brain area power spectrum ratio with the MoCA characteristics and rsEEG characteristics of healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the chronic pain database constructed by the early cognitive dysfunction evaluation method for chronic pain patients described in any of the above items, to obtain the evaluation results of early cognitive dysfunction in chronic pain patients. The evaluation results of early cognitive dysfunction in chronic pain patients include any of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

[0037] The present invention also provides a chronic pain management system, comprising: a terminal and a chronic pain database constructed by the method for evaluating early cognitive dysfunction in chronic pain patients described in any of the above items, the terminal being used to receive basic information of a subject to be tested, MoCA total score and domain scores, and brain region power spectrum ratios, and input them into the chronic pain database, the chronic pain database being used to match healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in corresponding layers according to the basic information of the subject to be tested, comparing the MoCA total score and domain scores, and brain region power spectrum ratios of the subject to be tested with the MoCA features and rsEEG features of healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition, and outputting the evaluation results of early cognitive dysfunction in chronic pain patients to the terminal for verification and confirmation by the physician.

[0038] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned methods for assessing early cognitive dysfunction in chronic pain patients.

[0039] The present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute any of the above-mentioned methods for assessing early cognitive dysfunction in chronic pain patients.

[0040] The present invention provides a method and system for evaluating early cognitive dysfunction in patients with chronic pain. The method combines the Montreal Cognitive Assessment (MoCA) with the resting electroencephalogram (rsEEG) technology. The method comprehensively analyzes the performance of MoCA characteristics and rsEEG characteristics of healthy people, chronic pain patients with cognitive dysfunction, and chronic pain patients with normal cognition from multiple dimensions such as the subjective score of the MoCA scale, the objective data of the power spectrum ratio of the EEG rsEEG signal, and the correlation between the power spectrum ratio and the MoCA score. The method establishes quantitative objective markers of cognitive dysfunction in chronic pain and forms a chronic pain database. By comparing the basic information of the subject to be tested, the total score and domain score of MoCA, and the power spectrum ratio of the brain region with the data in the chronic pain database, it is possible to evaluate whether the subject to be tested has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction, effectively assisting physicians to identify chronic pain patients with impaired cognitive function as early as possible, timely prevent and treat chronic pain patients with early cognitive dysfunction, and reduce the risk of further deterioration of the patient's condition into early Alzheimer's disease. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 This is one of the flow charts of a method for evaluating early cognitive dysfunction in patients with chronic pain provided by the present invention.

[0043] Figure 2 An example of an electrode layout diagram set up according to the international 10-20 system is shown, in which: NASION represents the nasion; INION represents the occipital inion; odd numbers are located on the left, and even numbers are located on the right; Z represents the midline area, F represents the frontal area, C represents the central area, T represents the temporal area, P represents the parietal area, O represents the occipital area, A1 / A2 represent the left and right ear electrodes respectively, and LC / RC represent the left and right cheek electrodes.

[0044] Figure 3 The present invention provides a second flow chart of a method for evaluating early cognitive dysfunction in patients with chronic pain.

[0045] Figure 4 This is one of the flow charts of another method for evaluating early cognitive dysfunction in chronic pain patients provided by the present invention.

[0046] Figure 5The present invention provides another flow chart of a method for evaluating early cognitive dysfunction in patients with chronic pain.

[0047] Figure 6 This is a schematic diagram of the structure of a system for evaluating early cognitive dysfunction in chronic pain patients provided by the present invention.

[0048] Figure 7 This is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0050] Resting-state electroencephalography (rsEEG) has the advantages of being objective, simple, non-invasive, and inexpensive. In addition, it has a millisecond time resolution, which is several orders of magnitude finer than other neuroimaging examinations (such as fMRI), and provides a certain possibility for early cognitive impairment screening in patients with chronic pain. In particular, the EEG power spectrum is widely used in cognitive science research, but it is currently more commonly used in cognitive impairment studies related to Parkinson's disease (PD) and Alzheimer's disease (AD). There is no EEG power spectrum characteristic study that identifies patients with abnormal chronic pain cognition and patients with normal chronic pain cognition. Therefore, this embodiment uses rsEEG technology to study the changes in the power spectrum ratio of each brain region in patients with abnormal chronic pain cognition, patients with normal chronic pain cognition, and healthy subjects, and combines the correlation analysis between the EEG power spectrum and the MoCA scale score to assist physicians in early screening of patients with abnormal chronic pain cognition, timely monitoring of the disease process, and judgment of prognosis.

[0051] Combine the following Figure 1-Figure 7 The present invention describes a method and system for evaluating early cognitive dysfunction in patients with chronic pain.

[0052] Figure 1 and Figure 3 Schematic diagram of the process of evaluating the early cognitive dysfunction of chronic pain patients provided by the present invention. Figure 1 The present invention provides a method for evaluating early cognitive dysfunction in patients with chronic pain, which may include:

[0053] Step S110, obtaining MoCA scale scores and rsEEG signals of a target population, where the target population includes a chronic pain patient population and a healthy population;

[0054] Step S120, obtaining MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, MoCA score data and rsEEG data of chronic pain patients with normal cognition, and MoCA score data and rsEEG data of healthy people according to the MoCA scale scores and rsEEG signals of the target population;

[0055] Step S130, constructing a chronic pain database based on the MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, the MoCA score data and rsEEG data of chronic pain patients with normal cognition, and the MoCA score data and rsEEG data of healthy people, to assist physicians in conducting early cognitive dysfunction assessments in chronic pain patients.

[0056] In one embodiment, the MoCA scale score and EEG rsEEG signal of the target population in step S110 can be obtained by a physician performing a Montreal Cognitive Assessment and a resting EEG examination on the target population. The MoCA scale score is a subjective evaluation result, and the EEG rsEEG signal is an objective data. In this embodiment, the EEG rsEEG signal is a continuous EEG wave without artifacts for at least several minutes (e.g., 3 minutes) of a resting EEG with eyes closed in the awake state of the target population, and the frequency bands of the EEG rsEEG signal include at least: 7.9-13.9 Hz, 13.9-30.0 Hz, 1.0-3.9 Hz, and 3.9-7.9 Hz.

[0057] This example uses MoCA in combination with rsEEG to study and establish objective markers of cognitive dysfunction in chronic pain, thereby assisting physicians in timely and accurate assessment of early cognitive dysfunction in chronic pain patients. This has important clinical significance and social value in helping chronic pain patients maintain their cognition in late life and reduce the risk of dementia.

[0058] In one embodiment, step S120 may include the following steps:

[0059] According to the MoCA scale scores of the target population, the total MoCA score of the target population was obtained;

[0060] According to the rsEEG signals of the target population, the electrode area power spectrum ratio and brain area power spectrum ratio of the target population are obtained;

[0061] The target population's MoCA total score, electrode region power spectrum ratio, and brain region power spectrum ratio were stratified according to the preset stratification indicators to obtain the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients and healthy people;

[0062] According to the preset MoCA scoring criteria, the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients were classified, and the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients with abnormal cognition and the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients with normal cognition were obtained.

[0063] In one embodiment, the MoCA scores of the target population in eight sub-domains, namely, visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation ability, can be obtained according to the MoCA scale scores of the target population, and the scores can be summed up to obtain the total MoCA score of the target population.

[0064] In one embodiment, the power spectrum ratio of the target population in the F3, F4, F7, F8, FZ, C3, C4, CZ, T3, T4, T5, T6, P3, P4, PZ, O1, and O2 electrode regions can be obtained based on the rsEEG signal of the target population by Fourier transform method. The power spectrum ratio of each electrode region is defined as: α represents the frequency band of 7.9-13.9 Hz, β represents the frequency band of 13.9-30.0 Hz, δ represents the frequency band of 1.0-3.9 Hz, and θ represents the frequency band of 3.9-7.9 Hz. That is, according to the definition of the power spectrum ratio, the power spectrum ratio of each electrode area is obtained according to the actual frequency band of each electrode area.

[0065] Among them, the target population can obtain EEG rsEEG signals by fixing electrodes with a head-mounted electrode positioning cap. The electrodes are arranged according to the international 10-20 system and transmitted to the EEG host for waveform processing and data analysis. Figure 2 An EEG electrode arrangement diagram is shown. The electrode areas other than F3, F4, F7, F8, FZ, C3, C4, CZ, T3, T4, T5, T6, P3, P4, PZ, O1, and O2 are electrode areas corresponding to the ears and cheeks. This embodiment mainly considers the five brain regions, so the F3, F4, F7, F8, FZ, C3, C4, CZ, T3, T4, T5, T6, P3, P4, PZ, O1, and O2 electrode areas are selected for power spectrum ratio analysis.

[0066] Furthermore, according to the power spectrum ratios of each electrode area of ​​the target population, the power spectrum ratios of the frontal area, central area, temporal area, parietal area and occipital area of ​​the target population were obtained, wherein the power spectrum ratio of the frontal area was the sum of the power spectrum ratios of the F3, F4, F7, F8 and FZ electrode areas (i.e., the power spectrum ratio of the frontal area = F3 + F4 + F7 + F8 + FZ), and the power spectrum ratio of the central area was the sum of the power spectrum ratios of the C3, C4 and CZ electrode areas (the power spectrum ratio of the central area =C3+C4+CZ), the power spectrum ratio of the temporal area is the sum of the power spectrum ratios of the T3, T4, T5, and T6 electrode areas (the power spectrum ratio of the temporal area = T3+T4+T5+T6), the power spectrum ratio of the parietal area is the sum of the power spectrum ratios of the P3, P4, and PZ electrode areas (the power spectrum ratio of the parietal area = P3+P4+PZ), and the power spectrum ratio of the occipital area is the sum of the power spectrum ratios of the O1 and O2 electrode areas (the power spectrum ratio of the occipital area = O1+O2).

[0067] In one embodiment, referring to Figure 3 , the preset stratification indicators may include any one of the following or any combination thereof: age group, gender, and years of education. The age group includes any one of the following or any combination thereof: 18-30 years old, 31-40 years old, 41-50 years old, 51-60 years old, and 61-70 years old. Gender includes male and female. Years of education include any one of the following or any combination thereof: junior high school (≤9 years), high school or technical secondary school (9-12 years), undergraduate or junior college (15-17 years), and graduate student (≥18 years). According to the preset stratification indicators, the target population can be divided into chronic pain patients and healthy people of different age groups, different genders, and different years of education, and then the MoCA features and rsEEG features of the chronic pain patients and the healthy people can be stratified accordingly.

[0068] In one embodiment, when the MoCA features and rsEEG features of each layer of the chronic pain patient population are classified according to the preset MoCA scoring standard to obtain the MoCA features and rsEEG features of each layer of chronic pain patients with abnormal cognition and the MoCA features and rsEEG features of each layer of chronic pain patients with normal cognition, the preset MoCA scoring standard can be: chronic pain patients with less than 12 years of education and a total MoCA score of less than 25 points are judged as chronic pain patients with abnormal cognition, and their MoCA features and rsEEG features are used as the MoCA features and rsEEG features of chronic pain patients with abnormal cognition; chronic pain patients with less than 12 years of education and a total MoCA score of greater than or equal to 25 points are judged as chronic pain patients with abnormal cognition. Patients with sexual pain were judged as chronic pain patients with normal cognition, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with normal cognition; chronic pain patients with more than 12 years of education and a MoCA total score of less than 26 points were judged as chronic pain patients with abnormal cognition, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with abnormal cognition; chronic pain patients with more than 12 years of education and a MoCA total score greater than or equal to 26 points were judged as chronic pain patients with normal cognition, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with normal cognition.

[0069] Compared with chronic pain patients with normal cognition, chronic pain patients with abnormal cognition have a lower MoCA characteristic, which is a decrease in scores, and an increase in background slow waves, which is specifically manifested as an increase in the EEG power spectrum ratio. These are two main characteristics of reduced cognitive function. Whether the decrease in each person's score or the increase in slow waves reaches the threshold that requires an early warning is determined by comparing them with the baseline value in the database.

[0070] The study found that compared with chronic pain patients with normal cognition, chronic pain patients with abnormal cognition had MoCA and rsEEG characteristics that were manifested in any of the following or any combination thereof: MoCA scores in the two subdomains of language ability and delayed memory were reduced, the EEG power spectrum ratios in the frontal lobe, central area, temporal lobe, parietal lobe, and occipital lobe were increased, and the correlation coefficient between the MoCA score of language ability and the power spectrum ratio of the central area, temporal lobe, and parietal lobe showed an enhanced negative correlation.

[0071] After stratification and classification, and obtaining the MoCA features and rsEEG features of each layer of the healthy population, the MoCA features and rsEEG features of each layer of the chronic pain patients with normal cognition, and the MoCA features and rsEEG features of each layer of the chronic pain patients with abnormal cognition (the MoCA features and rsEEG features of each layer of the target population can be the MoCA total score range corresponding to different target populations, the score range of each MoCA domain, and the power spectrum ratio range of each brain region), these data can be constructed into a chronic pain database for physicians to consult and compare, or they can be divided into a training set and a validation set, in which the types of target populations (i.e., healthy people at each layer, cognitive people at each layer) are selected. The training set and validation set can be used to train an early cognitive dysfunction assessment model for chronic pain patients. The mapping relationship between each layer of target population and MoCA features and rsEEG features is deeply explored through the model network. The trained model can be used for early cognitive dysfunction assessment in chronic pain patients. The output assessment results can be used as a reference for diagnosis by physicians, helping them to identify chronic pain patients with cognitive dysfunction as quickly and accurately as possible, formulate treatment plans for chronic pain patients with cognitive dysfunction as early as possible, and avoid further deterioration of the disease.

[0072] The present invention also provides a method for evaluating early cognitive dysfunction in patients with chronic pain, referring to Figure 4 and Figure 5 , which may include:

[0073] Step S'110, obtaining basic information of the subject, MoCA total score and domain score, and brain region power spectrum ratio, wherein the subject is a chronic pain patient, the basic information includes any one of the following or any combination thereof: age, gender, years of education, the domain includes any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, orientation, and the brain region includes any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, occipital lobe;

[0074] Step S'120, compare the basic information of the subject, the MoCA total score and domain scores, and the brain area power spectrum ratio with the MoCA characteristics and rsEEG characteristics of healthy people, chronic pain patients with abnormal cognition, and chronic pain patients with normal cognition in the chronic pain database constructed by the early cognitive dysfunction assessment method for chronic pain patients described in any of the above items, to obtain the early cognitive dysfunction assessment results for chronic pain patients, and the early cognitive dysfunction assessment results for chronic pain patients include any of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

[0075] When comparing the basic information of the test subject, the total score and domain score of MoCA, and the ratio of brain power spectrum with the MoCA features and rsEEG features of the healthy population, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the chronic pain database, the basic information (age, gender, and years of education) of the test subject can be first matched to the target population of the corresponding layer in the chronic pain database, and then by judging whether the total score and domain score of MoCA, and the ratio of brain power spectrum of the test subject fall into the MoCA feature range and rsEEG feature range of the healthy population, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the corresponding layer, and judging the degree to which a certain feature of the test subject falls into the MoCA feature range and rsEEG feature range of chronic pain patients with cognitive abnormalities, then the early cognitive dysfunction assessment results of chronic pain patients, including whether the test subject has impaired cognitive function, the area where cognitive function is impaired, and the degree of cognitive function impairment, can be obtained for reference by physicians and feedback of actual assessment results to patients. This embodiment compares the total MoCA score, the scores of the eight sub-domains, and the power spectrum ratios of the five brain regions of the subjects, which can more accurately determine the cognitive impairment of chronic pain patients.

[0076] The present invention provides a method and system for evaluating early cognitive dysfunction in patients with chronic pain, which combines the Montreal Cognitive Assessment (MoCA) with resting electroencephalogram (rsEEG) technology, and comprehensively analyzes the performance of MoCA characteristics and rsEEG characteristics of healthy people, chronic pain patients with cognitive dysfunction, and chronic pain patients with normal cognition from multiple dimensions such as the subjective score of the MoCA scale, the objective data of the power spectrum ratio of the EEG rsEEG signal, and the correlation between the power spectrum ratio and the MoCA score, establishes quantitative objective markers of cognitive dysfunction in chronic pain, and forms a chronic pain database. It can achieve early identification, early intervention and treatment of chronic pain patients with impaired cognitive function, incorporate cognitive dysfunction into chronic pain management, protect the cognitive function of chronic pain patients, and reduce the incidence of Alzheimer's disease, which has positive clinical value and social significance.

[0077] Furthermore, by comparing the basic information of the subjects, the total and domain scores of MoCA, and the power spectrum ratio of brain regions with the data in the chronic pain database, it is possible to accurately assess whether the subjects have cognitive impairment, the areas where cognitive impairment occurs, and the degree of cognitive impairment, effectively assisting physicians in identifying chronic pain patients with cognitive impairment as early as possible, and promptly preventing and treating chronic pain patients with early cognitive dysfunction, thereby reducing the risk of further deterioration of the patient's condition into Alzheimer's disease.

[0078] The following is a description of the system for evaluating early cognitive dysfunction in patients with chronic pain provided by the present invention. The system for evaluating early cognitive dysfunction in patients with chronic pain described below and the method for evaluating early cognitive dysfunction in patients with chronic pain described above can be referenced to each other.

[0079] Reference Figure 6 The present invention provides a system for evaluating early cognitive dysfunction in patients with chronic pain, which may include:

[0080] The data acquisition module is used to obtain basic information of the subject, MoCA total score and domain score, and brain region power spectrum ratio, wherein the subject is a chronic pain patient, the basic information includes any one of the following or any combination thereof: age, gender, years of education, the domain includes any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, orientation, and the brain region includes any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, occipital lobe;

[0081] The evaluation module is used to compare the basic information of the subject, the MoCA total score and domain scores, and the brain area power spectrum ratio with the MoCA characteristics and rsEEG characteristics of healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the chronic pain database constructed by the early cognitive dysfunction evaluation method for chronic pain patients described in any of the above items, to obtain the evaluation results of early cognitive dysfunction in chronic pain patients. The evaluation results of early cognitive dysfunction in chronic pain patients include any of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

[0082] Figure 7 An example of a physical structure diagram of a chronic pain management system (electronic device) is shown below. Figure 7As shown, the chronic pain management system may include a terminal and a computer (the computer may be a personal computer or a server), the computer including a processor and a memory, wherein the memory stores a chronic pain database constructed by the method for evaluating early cognitive dysfunction in chronic pain patients described in any one of the above items, the terminal is configured to receive basic information of the subject to be tested, MoCA total score and domain scores, brain region power spectrum ratio and send them to the processor, the processor accesses the chronic pain database stored in the memory, matches the healthy population, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition of the corresponding layer according to the received basic information of the subject to be tested, and compares the MoCA total score and domain scores, brain region power spectrum ratio of the subject to be tested with the MoCA features and rsEEG features of the healthy population, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition of the corresponding layer, outputs the evaluation results of early cognitive dysfunction in chronic pain patients and sends them to the terminal.

[0083] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0084] On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the method for evaluating early cognitive dysfunction in chronic pain patients provided by the above methods, the method comprising:

[0085] The basic information of the subjects, MoCA total score and domain scores, and brain region power spectrum ratios are obtained. The subjects are patients with chronic pain. The basic information includes any one of the following or any combination thereof: age, gender, and years of education. The domains include any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation ability. The brain regions include any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, and occipital lobe.

[0086] The basic information, MoCA total score and domain scores, and brain region power spectrum ratio of the subject are compared with the MoCA features and rsEEG features of healthy people, chronic pain patients with abnormal cognition, and chronic pain patients with normal cognition in the chronic pain database constructed by the early cognitive dysfunction assessment method for chronic pain patients described in any of the above items to obtain the early cognitive dysfunction assessment results for chronic pain patients. The early cognitive dysfunction assessment results for chronic pain patients include any of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

[0087] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the method for evaluating early cognitive dysfunction in chronic pain patients provided by the above methods, the method comprising:

[0088] The basic information of the subjects, MoCA total score and domain scores, and brain region power spectrum ratios are obtained. The subjects are patients with chronic pain. The basic information includes any one of the following or any combination thereof: age, gender, and years of education. The domains include any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation ability. The brain regions include any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, and occipital lobe.

[0089] The basic information, MoCA total score and domain scores, and brain region power spectrum ratio of the subject are compared with the MoCA features and rsEEG features of healthy people, chronic pain patients with abnormal cognition, and chronic pain patients with normal cognition in the chronic pain database constructed by the early cognitive dysfunction assessment method for chronic pain patients described in any of the above items to obtain the early cognitive dysfunction assessment results for chronic pain patients. The early cognitive dysfunction assessment results for chronic pain patients include any of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

[0090] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0091] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating early cognitive dysfunction in patients with chronic pain, characterized in that: include: Obtaining the MoCA (Montreal cognitive assessment) scale scores and rsEEG (resting-state electroencephalography) signals of the target population, including chronic pain patients and healthy people; According to the MoCA scale scores and EEG rsEEG signals of the target population, the MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, the MoCA score data and rsEEG data of chronic pain patients with normal cognition, and the MoCA score data and rsEEG data of healthy people were obtained; Based on the MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, the MoCA score data and rsEEG data of chronic pain patients with normal cognition, and the MoCA score data and rsEEG data of healthy people, a chronic pain database was constructed to assist physicians in the early assessment of cognitive dysfunction in chronic pain patients.

2. The method for evaluating early cognitive dysfunction in patients with chronic pain according to claim 1, characterized in that: The method of obtaining MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, MoCA score data and rsEEG data of chronic pain patients with normal cognition, and MoCA score data and rsEEG data of healthy people based on the MoCA scale scores and rsEEG signals of the target population includes: According to the MoCA scale scores of the target population, the total MoCA score of the target population was obtained; According to the rsEEG signals of the target population, the electrode area power spectrum ratio and brain area power spectrum ratio of the target population are obtained; The target population's MoCA total score, electrode region power spectrum ratio, and brain region power spectrum ratio were stratified according to the preset stratification indicators to obtain the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients and healthy people; According to the preset MoCA scoring criteria, the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients were classified, and the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients with abnormal cognition and the MoCA characteristics and rsEEG characteristics of each layer of chronic pain patients with normal cognition were obtained.

3. The method for evaluating early cognitive dysfunction in patients with chronic pain according to claim 2, characterized in that: The rsEEG signal is a continuous brain wave without artifacts when the target population is awake and resting with eyes closed for at least several minutes. The frequency bands of the collected rsEEG signal include at least 7.9-13.9 Hz, 13.9-30.0 Hz, 1.0-3.9 Hz, and 3.9-7.9 Hz.

4. The method for evaluating early cognitive dysfunction in patients with chronic pain according to claim 3, characterized in that: The MoCA total score of the target population is obtained according to the MoCA scale score of the target population, including: According to the MoCA scale scores of the target population, the MoCA scores of the target population in the visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation ability were obtained; The MoCA scores of the target population in each domain of visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation were summed up to obtain the total MoCA score of the target population.

5. The method for evaluating early cognitive dysfunction in patients with chronic pain according to claim 4, characterized in that: The method of obtaining the electrode region power spectrum ratio and the brain region power spectrum ratio of the target population according to the rsEEG signal of the target population includes: According to the rsEEG signals of the target population, the power spectrum ratios of the target population in the F3, F4, F7, F8, FZ, C3, C4, CZ, T3, T4, T5, T6, P3, P4, PZ, O1, and O2 electrode areas were obtained by Fourier transform method. The power spectrum ratio of each electrode area is defined as α represents the frequency band of 7.9~13.9Hz, β represents the frequency band of 13.9~30.0Hz, δ represents the frequency band of 1.0~3.9Hz, and θ represents the frequency band of 3.9~7.9Hz; According to the power spectrum ratios of the electrode areas of the target population, the power spectrum ratios of the frontal area, central area, temporal area, parietal area and occipital area of ​​the target population are obtained, wherein the power spectrum ratio of the frontal area is the sum of the power spectrum ratios of the F3, F4, F7, F8 and FZ electrode areas, the power spectrum ratio of the central area is the sum of the power spectrum ratios of the C3, C4 and CZ electrode areas, the power spectrum ratio of the temporal area is the sum of the power spectrum ratios of the T3, T4, T5 and T6 electrode areas, the power spectrum ratio of the parietal area is the sum of the power spectrum ratios of the P3, P4 and PZ electrode areas, and the power spectrum ratio of the occipital area is the sum of the power spectrum ratios of the O1 and O2 electrode areas.

6. The method for evaluating early cognitive dysfunction in patients with chronic pain according to claim 5, characterized in that: The preset stratification indicators include any one of the following or any combination thereof: age group, gender, and years of education. The age group includes any one of the following or any combination thereof: 18-30 years old, 31-40 years old, 41-50 years old, 51-60 years old, and 61-70 years old. Gender includes male and female. Years of education include any one of the following or any combination thereof: less than or equal to 9 years, 9-12 years, 15-17 years, and greater than or equal to 18 years.

7. The method for evaluating early cognitive dysfunction in patients with chronic pain according to claim 6, characterized in that: The MoCA features and rsEEG features of each layer of the chronic pain patient population are classified according to the preset MoCA scoring standard to obtain the MoCA features and rsEEG features of each layer of chronic pain patients with abnormal cognition and the MoCA features and rsEEG features of each layer of chronic pain patients with normal cognition, including: Chronic pain patients with less than 12 years of education and MoCA total score less than 25 points were identified as chronic pain patients with cognitive abnormalities, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with cognitive abnormalities; Chronic pain patients with less than 12 years of education and MoCA total score greater than or equal to 25 points were judged as chronic pain patients with normal cognition, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with normal cognition; Chronic pain patients with more than 12 years of education and a MoCA total score of less than 26 points were identified as chronic pain patients with cognitive abnormalities, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with cognitive abnormalities; Chronic pain patients with more than 12 years of education and a MoCA total score greater than or equal to 26 points were judged as chronic pain patients with normal cognition, and their MoCA characteristics and rsEEG characteristics were used as the MoCA characteristics and rsEEG characteristics of chronic pain patients with normal cognition.

8. A method for evaluating early cognitive dysfunction in patients with chronic pain, characterized in that: include: The basic information of the subjects, MoCA total score and domain scores, and brain region power spectrum ratios are obtained. The subjects are patients with chronic pain. The basic information includes any one of the following or any combination thereof: age, gender, and years of education. The domains include any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, and orientation ability. The brain regions include any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, and occipital lobe. The basic information of the subject, the total score and domain scores of MoCA, and the ratio of brain region power spectrum are compared with the MoCA features and rsEEG features of healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the chronic pain database constructed by the method for evaluating early cognitive dysfunction in chronic pain patients according to any one of claims 1 to 7, to obtain the evaluation results of early cognitive dysfunction in chronic pain patients, which include any one of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

9. A system for evaluating early cognitive dysfunction in patients with chronic pain, characterized in that: include: The data acquisition module is used to obtain basic information of the subject, MoCA total score and domain score, and brain region power spectrum ratio, wherein the subject is a chronic pain patient, the basic information includes any one of the following or any combination thereof: age, gender, years of education, the domain includes any one of the following or any combination thereof: visual-spatial and executive ability, naming ability, attention, calculation ability, language ability, abstract thinking ability, delayed memory, orientation, and the brain region includes any one of the following or any combination thereof: frontal lobe, central area, temporal lobe, parietal lobe, occipital lobe; The evaluation module is used to compare the basic information of the subject, the total score and domain score of MoCA, and the power spectrum ratio of the brain region with the MoCA features and rsEEG features of healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the chronic pain database constructed by the method for evaluating early cognitive dysfunction in chronic pain patients according to any one of claims 1 to 7, so as to obtain the evaluation results of early cognitive dysfunction in chronic pain patients, and the evaluation results of early cognitive dysfunction in chronic pain patients include any one of the following items or any combination thereof: whether the subject has impaired cognitive function, the area where cognitive dysfunction occurs, and the degree of cognitive dysfunction.

10. A chronic pain management system, characterized in that: include: A terminal and a computer, the computer comprising a processor and a memory, wherein the memory stores a chronic pain database constructed by the method for evaluating early cognitive dysfunction in chronic pain patients according to any one of claims 1 to 7, the terminal is configured to receive basic information of a subject to be tested, MoCA total score and domain scores, and brain region power spectrum ratios and send them to the processor, the processor accesses the chronic pain database stored in the memory, matches healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the corresponding layers according to the received basic information of the subject to be tested, and compares the MoCA total score and domain scores, and brain region power spectrum ratios of the subject to be tested with the MoCA features and rsEEG features of the healthy people, chronic pain patients with cognitive abnormalities, and chronic pain patients with normal cognition in the corresponding layers, outputs the evaluation results of early cognitive dysfunction in chronic pain patients and sends them to the terminal.

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