System for evaluating treatment effect of alcohol use disorder patient by using electroencephalogram microscopic state

Abstract

According to the system for evaluating the treatment effect of the AUD patient through the electroencephalogram microscopic state indexes, the electroencephalogram activity is captured through the electroencephalogram monitoring sensor, the electroencephalogram microscopic state indexes in the resting state are calculated through the data processing unit, the electroencephalogram microscopic state indexes are compared with a preset reference value or index modes in different psychological states, and the treatment effect of the AUD patient is evaluated. To identify features of brain activity of the patient. The preset value is based on a classification of subconsciousness and consciousness reactions of the AUD patient and statistically validated. And the system judges the brain activity state and the treatment effect of the AUD patient according to the analysis result of the electroencephalogram microscopic state index, and displays the analysis and judgment result through an output unit. The system can accurately evaluate the treatment effect of the AUD patient so as to provide accurate treatment and prevention strategies for the AUD patient.

Description

Technical Field

[0001] The present invention relates to a system for evaluating the treatment effect of patients with alcohol use disorder. Background Art

[0002] Alcohol use disorders (AUD) are characterized by compulsive heavy drinking and loss of control over alcohol intake. It is a common chronic disease that is extremely harmful to society. AUD is associated with a variety of physical and mental sequelae and is one of the most common mental disorders in the world. Alcohol relapse is the main clinical problem of AUD, and the craving for alcohol is the key factor in the relapse of AUD patients. The craving for alcohol is the main feature of AUD patients and one of the important items for diagnosing AUD. Craving can be defined as an urgent and irresistible desire or impulse to drink, which, if not satisfied, will lead to psychological and physiological symptom reactions. Therefore, reducing craving is the key to treating AUD. Alcohol cues are an important factor in inducing AUD relapse. How to accurately assess the psychological craving induced by alcohol cues and its changes in the treatment of alcohol dependence currently faces great challenges due to the lack of objective evidence.

[0003] Microstate analysis is a state definition method that uses the topological construction of multi-channel electrode topography. Its biggest advantage is that it takes into account the signals recorded from all areas of the cerebral cortex, can evaluate the intrinsic function of brain networks on a large scale, and microslices can provide temporary and stable brain topography. Microstates take into account the signals recorded from all areas of the cerebral cortex, so it can evaluate the intrinsic function of large-scale brain networks, and microstates provide a transient and stable brain topology. The functional interpretation of resting-state EEG microstate analysis can be based on the different topological structures of the topography, reflecting the coordinated activities of different neural units in the brain. Therefore, the sequential activation of different neural networks can be explained by microstate transitions, and the microstate time series in the resting-state EEG represents the rapid transitions between neuronal activities when the brain is in a resting state. EEG microstate analysis can be used as a neurophysiological method to study and evaluate the overall functional state of the brain in health and disease, with the advantages of high efficiency, low cost and convenience. The analysis of resting-state microstates will deepen our understanding of the neuropsychological mechanisms of the cognitive and behavioral effects of alcohol.

[0004] It should be noted that the information disclosed in the above background technology section is only used for understanding the background of the present application, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the invention

[0005] The main purpose of the present invention is to overcome the defects of the above-mentioned background technology and provide a system for evaluating the treatment effect of patients with alcohol use disorder using EEG microstates. The present invention uses the research and discovery of the characteristics of the brain neural mechanism of subconscious memory extinction applied to AUD patients. Through the detection and analysis of EEG microstates by the system of the present invention, it can accurately evaluate the treatment effect of new treatment methods of subconscious memory extinction on AUD patients, and provide more accurate treatment and detection prevention strategies for AUD patients, which has a good guiding significance.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] A system for evaluating the treatment effect of patients with alcohol use disorder (AUD) using EEG microstates, comprising:

[0008] EEG monitoring sensors, which measure the user’s electrical brain activity;

[0009] A data processing unit, connected to the EEG monitoring sensor, is used to perform the following operations:

[0010] a. Obtain the user's brain electrical activity through the EEG signal measured in real time by the EEG monitoring sensor, and calculate the EEG micro-state index in the resting state;

[0011] b. Comparing the calculated EEG microstate index with a preset baseline value or an index pattern under different psychological states to identify the brain activity characteristics of the patient under a specific psychological state; the preset baseline value or index pattern is based on the classification of the subconscious and conscious reactions of AUD patients under different exposure conditions, and is analyzed and verified using statistical methods;

[0012] c. Based on the comparison results of EEG microstate indicators, analyze and determine the characteristics of the patient's brain's neural mechanism when subconsciously processing alcohol stimulation;

[0013] d. Comprehensively judge the brain activity state and treatment effect of AUD patients based on the analysis results of EEG microstate indicators;

[0014] The output unit is used to output the analysis and judgment results of the EEG micro-state indicators.

[0015] The present invention has the following beneficial effects:

[0016] The system of the present invention provides a new and effective method for evaluating the therapeutic effect of subconscious memory extinction on patients with alcohol use disorder (AUD) by monitoring and analyzing EEG microstates. The system can accurately capture the changes in brain activity of patients during the treatment of subconscious memory extinction. By monitoring EEG signals and calculating the EEG microstates in the resting state, the system can reveal the activity characteristics of the patient's brain under different psychological states, reflect the dynamics of the brain neural network, identify and evaluate the treatment response of AUD patients, and provide a new treatment effect evaluation tool for clinicians. In addition, the real-time feedback provided by the system can improve the patient's treatment compliance and participation. Using the personalized monitoring and analysis results generated by the system, the treatment plan can be adjusted according to the patient's specific response to achieve personalized treatment and improve the effectiveness of treatment, thereby providing strong technical support for the rehabilitation of AUD patients. The system realizes a non-invasive, low-cost treatment effect evaluation, and the design of the system allows it to be integrated with existing medical equipment and workflows, which is convenient for implementation and use in different medical environments, while helping to reduce medical costs and improve the efficiency of medical resource use.

[0017] Other beneficial effects of the embodiments of the present invention will be further described below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Schematic diagram of electrode positions according to an embodiment of the present invention.

[0019] Figure 2 It is a statistical chart of the overall variance explanation ratio, the average duration of microstates, the number of occurrences per unit time, and the percentage of time covered in an embodiment of the present invention.

[0020] Figure 3 These are the microscopic AD brain topography maps after treatment of three groups of embodiments of the present invention.

[0021] Figure 4 Schematic diagram of the system structure for evaluating the treatment effect of patients with alcohol use disorder using EEG microstates according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following is a detailed description of the embodiments of the present invention. It should be emphasized that the following description is only exemplary and is not intended to limit the scope and application of the present invention.

[0023] Key terms and concepts:

[0024] EEG signals

[0025] Electroencephalogram (EEG): The brain is composed of billions of cells, half of which are neurons, which are closely connected through synapses (which can inhibit excitatory activity). When a large number of neurons discharge at the same time, a strong electric field is formed, which propagates to tissues, bones and skulls, and can eventually be measured on the scalp. We use electrophysiological indicators to record the electrical signals generated by brain activity on the surface of the scalp (the sum of postsynaptic potentials when a large number of pyramidal neurons are excited synchronously). EEG is a plane diagram that records the electrical signals generated by the brain with time as the horizontal axis and potential as the vertical axis. EEG measurement usually represents high time resolution at the millisecond level. Its advantage is that it can measure neuronal activity with high time accuracy, and it is less expensive and more portable than other brain science technologies (FMRI, MEG, etc.). It can measure the brain activity of subjects in resting and task states. Resting-state EEG reflects the basic state of the brain, shows its basic neural activity mechanism, and is associated with events involving attention, memory, thinking and cognitive processes. There are nearly 10 trillion interconnected synapses in the human brain, which form large and small, various circuits in the brain, forming the structural basis of behavior and mental activities. Therefore, resting state activity can predict behavioral performance, perception, decision-making and related neural activities. Microstate analysis can expand our understanding of the complex functional structure of the resting brain.

[0026] EEG microstates

[0027] Microstate analysis is a state definition method that uses the topological construction of multi-channel electrode topography. Its biggest advantage is that it takes into account the signals recorded from all areas of the cerebral cortex, can evaluate the intrinsic function of brain networks on a large scale, and microslices can provide temporary and stable brain topography. The functional interpretation of resting-state EEG microstate analysis can be based on the different topological structures of the topography, reflecting the coordinated activities of different neural units in the brain. Therefore, the sequential activation of different neural networks can be explained by microstate transitions. The microstate time series in the resting-state EEG represents the rapid transitions between neuronal activities when the brain is in a resting state. In the resting-state EEG, the microstate time series represents the rapid transitions between neuronal activities in the brain. In this interpretation, the microstate time process contains important information about the underlying neural generators. At present, microstate analysis includes the following four main indicators. ① The average lifespan of the microstate is interpreted as a reflection of the stability of the basic neural components. ② The frequency of occurrence of a specific microstate can reflect the activation trend of the underlying neural generator. ③The coverage and global explained variance of microstates are interpreted as relative temporal coverage relative to other neural generators. ④The amplitude (i.e., average GFP) of a specific microstate can reflect the strength or coordination of the underlying neurons, while the non-random transition probability between individual microstates is often interpreted as an indication of the activation order of neuronal components.

[0028] like Figure 4 As shown, an embodiment of the present invention provides a system for evaluating the treatment effect of patients with alcohol use disorder (AUD) using EEG microstates, including:

[0029] EEG monitoring sensors, which measure the user’s electrical brain activity;

[0030] A data processing unit, connected to the EEG monitoring sensor, is used to perform the following operations:

[0031] a. Obtain the user's brain electrical activity through the EEG signal measured in real time by the EEG monitoring sensor, and calculate the EEG micro-state index in the resting state;

[0032] b. Comparing the calculated EEG microstate index with a preset baseline value or an index pattern under different psychological states to identify the brain activity characteristics of the patient under a specific psychological state; the preset baseline value or index pattern is based on the classification of the subconscious and conscious reactions of AUD patients under different exposure conditions, and is analyzed and verified using statistical methods;

[0033] c. Based on the comparison results of EEG microstate indicators, analyze and determine the characteristics of the patient's brain's neural mechanism when subconsciously processing alcohol stimulation;

[0034] d. Comprehensively judge the brain activity state and treatment effect of AUD patients based on the analysis results of EEG microstate indicators;

[0035] The output unit, such as a display screen, is used to output (eg, display) the analysis and judgment results of the EEG micro-state indicators.

[0036] In some embodiments, the processing of the data processing unit includes: processing the pre-processed resting-state EEG data, using the topographic map at the instantaneous peak of GFP, clustering using the atomic clustering algorithm and the improved K-means algorithm, and analyzing the duration, incidence, and contribution rate of the microstate.

[0037] In some embodiments, the baseline value or indicator pattern is established based on the following method: classifying the subconscious and conscious reactions of AUD patients under different exposure conditions; establishing EEG indicator patterns corresponding to subconscious processing of alcohol stimuli, subconscious processing of neutral stimuli and conscious processing of alcohol stimuli based on the classification results; and using statistical methods, such as one-way analysis of variance and multiple comparison correction, to verify the significance of the indicator pattern.

[0038] The system of the present invention accurately evaluates the therapeutic effect of different interventions, including the effects of subconscious alcohol cue exposure treatment group (very brief exposure, VBE), subconscious neutral cue exposure treatment group (very brief neutral-stimulus, VBN), and conscious alcohol cue exposure treatment group (clearly visible exposure, CVE), on the electroencephalographic microstate of patients with alcohol use disorder (AUD). The present invention quantifies and evaluates the therapeutic effect by using neurophysiological indicators through microstate analysis of electroencephalogram (EEG). By comparing the changes in electroencephalogram indicators before and after treatment, the present invention can reveal the specific effects of different interventions on the brain activity of AUD patients, and provide an accurate basis for the evaluation of clinical treatment effects. In general, the present invention provides an effective solution for the clinical treatment effect evaluation of AUD through electroencephalographic microstate.

[0039] The preprocessing process includes: (1) importing raw data; (2) positioning electrodes, using the internationally accepted 10-20 standard lead system to locate relevant information; (3) deleting useless electrodes ECG (electrocardiogram), FT9, and FT10; (4) offline filtering, using a 0.1Hz high-pass filter to eliminate voltage drift, a 50Hz low-pass filter to eliminate noise, and a 48-52Hz notch filter to remove power frequency interference; (5) downsampling: downsampling the collected 1000Hz raw data to 500Hz; (6) removing bad segments and replacing bad leads: through manual screening, removing bad segments with too many lead artifacts, removing leads with bad tracks and performing bad track interpolation reconstruction; (7) re-reference: replacing the previous reference electrode, using bilateral mastoid TP9 and TP10 as re-reference; (8) re-segmenting the above EEG data into 2s segments; (9) independent component analysis method (Independent component ICA: Use ICA to analyze EEG data and manually exclude EEG artifacts, including electrooculography (blinking, eye movement artifacts), electromyography (frontal muscle, temporalis muscle activity), electrocardiography (heartbeat), other artifacts (scalp sweating), and other interferences. Note that blinking and eye movement are low-frequency, and electromyography is high-frequency. The interference of about 50Hz may be power frequency interference, and vertical eye movement, horizontal eye movement, blinking, electromyography and other artifacts are removed from the components. For example, if the energy amplitude of a certain component is large, the noise frequency range is wide, and the impact on the front area of ​​the head is significant, it may be an electrooculography artifact; when the energy of a certain component is mainly spike-shaped high-frequency electrical activity, it may be an electromyography artifact. The artifact caused by scalp sweating appears as a low-frequency, low-amplitude, wavy electrical signal in the brain wave. Remove as many artifacts, interference, and noise as possible to retain pure EEG signals.

[0040] For the preprocessed resting-state EEG data, a 2-20 Hz bandpass filter was first performed, and then based on the microstate1.0 of EEGLAB Toolbox of MATLAB, the topographic map at the instantaneous peak of GFP (a measure of scalp potential intensity, based on the potential difference between all electrodes at each sampling point) was used. The atomize and agglomeratehierarchical clustering (AAHC) algorithm was used to select the improved K-means algorithm for clustering, and the microstate prototypes were sorted into multiple categories by reducing the global explained variance.

[0041] Resting microstate data results

[0042] For the three groups of preprocessed resting-state data, the brain topography at the peak of the standard deviation (Global Field Power, GFP) of all electrode voltage values ​​in the topography at a certain time point was clustered by the hierarchical clustering algorithm (Atomize and agglomerate hierarchical clustering, AAHC) according to the principle of microstate analysis. First, the algorithm defines each data point (brain topography in this experiment) as a template mapping of the cluster. We only select brain topography at the GFP peak. Then, a microstate classification is constructed to assign the original topology of each subject to an identified microstate class. Figure 2 The proportion of overall variance explained, the average duration of microstates, the number of occurrences per unit time, and the percentage of time covered were analyzed by one-way analysis of variance. Figure 3 The microstate AD brain topography of the three groups after treatment is shown. In summary, the experimental data show that the analysis of EEG microstates reveals changes in brain network activity related to treatment, cognitive control and emotion regulation. These findings indicate that the present invention can quantify the treatment effect and detect changes in brain activity of AUD patients during treatment, thereby providing a basis for the adjustment and optimization of personalized treatment plans in the clinic, thereby improving the effectiveness of treatment.

[0043] Furthermore, in order to accurately evaluate the treatment effect of patients with alcohol use disorder (AUD), a benchmark or reference point is set, and the detected and calculated EEG microstates are compared with the preset benchmark or indicator pattern to measure the changes before and after treatment, confirm the effectiveness of the treatment and the improvement of the patient. Through statistical verification and classification of the responses of AUD patients under different exposure conditions, a benchmark value or indicator pattern can be established to ensure the accuracy and reliability of the treatment effect evaluation.

[0044] The embodiment of the present invention provides an innovative technical solution, which can effectively evaluate the treatment effect of patients with alcohol use disorder by setting a benchmark or reference point, performing statistical verification, and performing classification analysis. Specifically, the benchmark or reference point can be set by classifying the subconscious and conscious reactions of AUD patients under different exposure conditions, and combined with statistical verification and classification analysis, an accurate evaluation of the treatment effect of patients with alcohol use disorder can be achieved. This process can use known statistical methods such as one-way analysis of variance to determine the baseline value or index pattern of the microstate of electroencephalogram, and use this as a reference to confirm the effectiveness of the treatment and the improvement of the patient by comparing the changes under different treatment conditions. That is, by detecting the electroencephalogram microstate index, the changes before and after treatment are measured by comparing with the preset baseline value or index pattern. In addition, by applying statistical methods, such as one-way analysis of variance and multiple comparison correction, the significance of the index pattern can be verified, thereby ensuring the accuracy and reliability of the treatment effect evaluation. Through this systematic solution, the present invention can effectively evaluate and judge the physiological state and treatment effect of AUD patients, so as to provide more accurate treatment and prevention strategies for clinicians.

[0045] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art of the present invention, several equivalent substitutions or obvious variations can be made without departing from the concept of the present invention, and the performance or use is the same, which should be regarded as belonging to the protection scope of the present invention.

Claims

1. A system for evaluating the treatment effect of patients with alcohol use disorder (AUD) using EEG microstates, characterized in that: include: EEG monitoring sensors, which measure the user’s electrical brain activity; A data processing unit, connected to the EEG monitoring sensor, is used to perform the following operations: a. Obtain the user's brain electrical activity through the EEG signal measured in real time by the EEG monitoring sensor, and calculate the EEG micro-state index in the resting state; b. Comparing the calculated EEG microstate index with a preset baseline value or an index pattern under different psychological states to identify the brain activity characteristics of the patient under a specific psychological state; the preset baseline value or index pattern is based on the classification of the subconscious and conscious reactions of AUD patients under different exposure conditions, and is analyzed and verified using statistical methods; c. Based on the comparison results of EEG microstate indicators, analyze and determine the characteristics of the patient's brain's neural mechanism when subconsciously processing alcohol stimulation; d. Comprehensively judge the brain activity state and treatment effect of AUD patients based on the analysis results of EEG microstate indicators; The output unit is used to output the analysis and judgment results of the EEG micro-state indicators.

2. The system according to claim 1, characterized in that The processing of the data processing unit includes: The preprocessed resting-state EEG data were processed, and the topographic map at the instantaneous peak of GFP was used to cluster using the atomic clustering algorithm and the improved K-means algorithm to analyze the duration, incidence, and contribution rate of the microstate.

3. The system according to claim 1 or 2, characterized in that: The benchmark values ​​or indicator patterns are established based on the following conditions: Classify the subconscious and conscious responses of AUD patients under different exposure conditions; According to the classification results, establish the EEG microstate index pattern corresponding to the subconscious processing of alcohol stimulation, the subconscious processing of neutral stimulation and the conscious processing of alcohol stimulation; Statistical methods, such as one-way ANOVA with correction for multiple comparisons, were used to verify the significance of the indicator patterns.

4. The system according to claim 3, characterized in that The statistical method includes one-way analysis of variance for one or more of the proportion of overall variance explained, the average duration of microstates, the number of occurrences per unit time, and the percentage of time covered.

5. The system according to any one of claims 1 to 4, characterized in that: The output unit comprises: The display screen is used to display the analysis and judgment results of the EEG micro-state indicators.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, data processing of the system according to any one of claims 1 to 5 is realized.

7. A computer program product, characterized in that When the computer program product is executed by a processor, the computer program product implements data processing of the system according to any one of claims 1 to 5.

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