System and readable medium for analyzing influence of light stimulation on regulation and control of functions of amygdaloid nucleus

Abstract

The invention discloses a system for analyzing the influence of photostimulation on amygdala function regulation and control, and relates to the field of brain nerve regulation and control, the system comprises a photostimulation module, an intracranial electroencephalogram recording module and an amygdala physiological activity analysis module, the photostimulation module issues intermittent photostimulation to a subject; the intracranial electroencephalogram recording module is used for recording continuous electroencephalogram signal data of the amygdala before and during photostimulation of the subject; the amygdala physiological activity analysis module preprocesses the electroencephalogram signal data, judges the amygdala function change of a specific frequency band according to the neural oscillation energy change rate of the specific frequency band, and forms an optical frequency-amygdala function change database, thereby obtaining the optical stimulation frequency influencing the amygdala function. The invention can overcome the problem that the scalp electroencephalogram is difficult to capture the nerve activity of the amygdala nucleus; in addition, the photostimulation frequency capable of influencing the functions of the amygdala kernel is obtained, and clinical reference is provided for accurately intervening the functions of the amygdala kernel.

Description

Technical Field

[0001] The present invention belongs to the field of brain neuromodulation, and particularly relates to an analysis system and a readable medium for analyzing the influence of light stimulation on regulating the function of the amygdala. Background Art

[0002] The amygdala, located at the anterior end of the inferior horn of the lateral ventricle and ventral to the lentiform nucleus, is an important brain region that regulates an individual's emotions, learning, memory, and regulates the body's functions and the endocrine system. Existing studies have found that patients with damaged amygdala all show disorders in emotion generation, expression, and recognition. Abnormal amygdala function has also been observed in patients with Alzheimer's disease, and symptoms such as impairment of emotional memory will appear. Therefore, exploring intervention programs or techniques that can regulate amygdala function has high clinical value.

[0003] Non-invasive brain stimulation refers to a method of non-invasively regulating brain nerve activity by applying physical stimuli (including different modalities of physical stimuli, such as current, sound, light, etc.) outside the scalp. Among them, a large number of studies have found that physical stimuli such as rhythmic sound and light have the effect of regulating brain activity. For example, they have a positive effect on cognitive function and can improve the memory performance of Alzheimer's disease mice. Blanpain et al. also found that flickering light stimulation can reduce interictal epileptic discharges.

[0004] In this regard, previous studies explored the neural mechanism of light stimulation in regulating brain nerve activity and found a light-driven response, that is, the human scalp electroencephalogram responds to flickering light stimulation at the same frequency as the frequency of the light stimulation or its harmonics. Scalp electroencephalogram is a technique for recording the electrical activity of cortical neurons by placing electrodes on the scalp surface and is a good non-invasive detection method, but it is difficult to capture the nerve activity in the subcortical region. Therefore, it is still unclear whether non-invasive light stimulation can regulate the nerve activity in the subcortical region of the awake human brain, especially the amygdala region that is closely related to cognitive function.

[0005] In addition, the improvement of cognitive function by light stimulation depends to a large extent on the light stimulation pattern and stimulation frequency. It has now been observed that there is frequency specificity in the intervention effect on cognitive function. For example, some studies have found that 8Hz stimulation induces synchronization in the medial occipital cortex but local desynchronization in the middle temporal lobe region (V5 / MT region), etc., which further increases the difficulty of clarifying the intervention program that can regulate amygdala function.

[0006] All in all, these findings indicate that: current research has found that the cerebral cortex region responds to non-invasive light stimulation. However, due to research means, it is currently difficult to explore whether light stimulation can effectively regulate the nerve activity of the amygdala in the awake human brain.

[0007] Therefore, it is urgent to propose an analysis system and a readable medium for the impact of light stimulation on regulating amygdala function, find the specific impact of light stimulation on amygdala neural activity, and provide theoretical support for subsequent research. Summary of the Invention

[0008] The technical problem to be solved by the present invention is, in view of the above-mentioned defects of the prior art, to provide an analysis system and a readable medium for the impact of light stimulation on regulating amygdala function, aiming to solve the problem of difficult to capture the neural activity in the amygdala region of the waking human brain, and the problem in the prior art that it is not clear what frequency of light stimulation can effectively regulate amygdala neural activity.

[0009] To solve the above technical problems, the technical solution proposed by the present invention is:

[0010] In the first aspect, an embodiment of the present invention provides an analysis system for the impact of light stimulation on regulating amygdala function, including a light stimulation module, an intracranial electroencephalogram recording module, and an amygdala physiological activity analysis module.

[0011] Among them, the light stimulation module emits intermittent light stimulation of different frequencies to the subject.

[0012] The intracranial electroencephalogram recording module records the continuous electroencephalogram signal data of the amygdala before and during the light stimulation of the subject.

[0013] The amygdala physiological activity analysis module preprocesses the continuous electroencephalogram signal data of the amygdala before and during the light stimulation, judges the change of amygdala function in this frequency band according to the change rate of neural oscillation energy in a specific frequency band, forms a light frequency - amygdala function change database, and thus obtains the stimulation frequency that affects the amygdala function of the test individual.

[0014] The change rate of neural oscillation energy = [(energy during stimulation - energy before stimulation) / energy before stimulation] * 100%, and the change rate of neural oscillation energy in a specific frequency band is compared with 0. When the change rate of neural oscillation energy in a specific frequency band > 0 and there is a significant difference statistically, the amygdala function in this frequency band is enhanced; when the change rate of neural oscillation energy in a specific frequency band < 0 and there is a significant difference statistically, the amygdala function in this frequency band is weakened.

[0015] The specific frequency band includes the δ band of 1 - 4 Hz, the θ band of 4 - 8 Hz, the α band of 8 - 12 Hz, the β band of 12 - 30 Hz, the low - γ band of 30 - 60 Hz, the high - γ band of 60 - 90 Hz, and the ultra - frequency band of 90 - 200 Hz.

[0016] The significant difference statistically refers to P < 0.05.

[0017] The light frequency - amygdala functional change database is as follows: Light stimulation at 10 Hz enhanced the function of the left amygdala in the δ band and inhibited the function of the left amygdala in the θ band; Light stimulation at 50 Hz enhanced the function of the left amygdala in the δ band and simultaneously inhibited the functions of the left amygdala in the θ, α, and β bands.

[0018] Furthermore, the intracranial electroencephalogram recording module also simultaneously records the continuous electroencephalogram signal data of the brain regions with light - driven responses before and during the light stimulation of the subject.

[0019] Furthermore, the amygdala physiological activity analysis module pre - processes the continuous electroencephalogram signal data of the brain regions with light - driven responses before and during the light stimulation, analyzes the correlation between the change rate of neural oscillation energy in the light - driven response brain regions and the change rate of neural oscillation energy in specific frequency bands of the amygdala, forms a light frequency - correlation database, and thus obtains that after the subject receives light stimulation, the change intensity of amygdala neural activity depends on the change intensity of neural activity in the light - driven response brain regions.

[0020] The light frequency - correlation database is as follows: Under 5 Hz light stimulation, the change rate of neural oscillation energy of the lateral occipital cortex in response to light stimulation is positively correlated with the change rate of neural oscillation energy of the left amygdala in the θ band; Under 10 Hz light stimulation, the change rate of neural oscillation energy of the optic radiation in response to light stimulation is positively correlated with the change rate of neural oscillation energy of the left amygdala in the α band, while the change rate of neural oscillation energy of the insula in response to light stimulation is negatively correlated with the change rate of neural oscillation energy of the left amygdala in the α band; Under 50 Hz light stimulation, the change rate of neural oscillation energy of the lingual gyrus in response to light stimulation is negatively correlated with the change rate of neural oscillation energy of the left amygdala in the low - frequency γ band.

[0021] Furthermore, the brain regions with light - driven responses include the lingual gyrus, lateral occipital cortex, optic radiation, and insula.

[0022] Furthermore, the light stimulation module emits light stimulation frequencies in the following pattern: Each frequency of light stimulation appears 10 times in a pseudo - random order, each stimulation lasts for 15 s, and there is a 15 - s rest period after each stimulation. It is divided into two blocks, with a 5 - minute interval between each block, and the total duration is 25 minutes.

[0023] Furthermore, the subject is an epilepsy patient who needs to implant intracranial depth electrodes during clinical treatment, and the spontaneous brain activity of the subject is consistent with that of healthy people during the seizure - free period.

[0024] Further, the intracranial electroencephalogram recording module records the continuous electroencephalogram signal data of the amygdala before and during the light stimulation of the subject. Specifically, through the stereotactic electroencephalogram technology in the skull, the local field potential data of the amygdala of the subject is directly recorded by using the depth electrode, that is, the sum of the activity states of all neural cell populations in the local nucleus of the neural network within the millimeter-level space near the local field potential within the millisecond-level time range.

[0025] Further, the steps for the amygdala physiological activity analysis module to preprocess the continuous electroencephalogram signal data of the amygdala before and during the light stimulation are as follows:

[0026] Divide the continuous electroencephalogram signal data of the amygdala into data segments before and during the light stimulation;

[0027] Perform high-pass filtering on each data segment respectively, and check frame by frame according to the set time length. If intermittent spikes or other forms of abnormal synchronous discharges are visually observed, it is determined that the data frame is contaminated; after removal, retain the uncontaminated data segments;

[0028] Use the Welch average periodogram method to characterize the power spectral density of the uncontaminated data segments in a specific frequency band;

[0029] Calculate the integral of the power spectral density in the 1 - 200 Hz frequency band;

[0030] Divide the power spectral density of each specific frequency band by the integral of the power spectral density in the 1 - 200 Hz frequency band to obtain the relative power spectral density of each specific frequency band, that is, obtain the pre-stimulus and inter-stimulus neural oscillation energies of the amygdala in a specific frequency band, which is used to calculate the change rate of the neural oscillation energy of the amygdala in a specific frequency band.

[0031] In a second aspect, an embodiment of the present invention provides a non-transitory computer-readable medium, which stores program instructions. When the program instructions are executed by one or more processors, the one or more processors are caused to perform operations including the following items:

[0032] Record the continuous electroencephalogram signal data of the amygdala before and during the light stimulation of the subject;

[0033] Preprocess the continuous electroencephalogram signal data of the amygdala before and during the light stimulation, judge the functional changes of the amygdala in this frequency band according to the change rate of the neural oscillation energy in a specific frequency band, form a light frequency - amygdala functional change database, and thus obtain the stimulation frequency that affects the amygdala function of the subject individual;

[0034] The change rate of neural oscillation energy = [(energy during stimulation - energy before stimulation) / energy before stimulation]*100%. Compare the change rate of neural oscillation energy in a specific frequency band with 0. When the change rate of neural oscillation energy in a specific frequency band > 0 and there is a significant difference statistically, the function of the amygdala in this frequency band is enhanced; when the change rate of neural oscillation energy in a specific frequency band < 0 and there is a significant difference statistically, the function of the amygdala in this frequency band is weakened.

[0035] The specific frequency bands include the δ band of 1 - 4 Hz, the θ band of 4 - 8 Hz, the α band of 8 - 12 Hz, the β band of 12 - 30 Hz, the low-γ band of 30 - 60 Hz, the high-γ band of 60 - 90 Hz, and the ultra-frequency band of 90 - 200 Hz;

[0036] The significant difference statistically refers to P < 0.05.

[0037] Furthermore, the operation further includes:

[0038] Simultaneously record the continuous electroencephalogram signal data of the brain regions with light-driven responses before and during the light stimulation received by the subject;

[0039] Preprocess the continuous electroencephalogram signal data of the brain regions with light-driven responses before and during the light stimulation, analyze the correlation between the change rate of neural oscillation energy in the brain regions with light-driven responses and the change rate of neural oscillation energy in specific frequency bands of the amygdala, form a light frequency-correlation database, so as to obtain that after the subject receives light stimulation, the change intensity of amygdala neural activity depends on the change intensity of neural activity in the brain regions with light-driven responses.

[0040] Advantages of the present invention: Through the stereotactic electroencephalogram technology in the skull, the present invention directly records the local field potentials in the subcortical regions before and during the non-invasive light stimulation received by the subject using depth electrodes; the selected subjects are epilepsy patients who need to implant intracranial electrodes during clinical treatment. Based on the characteristic that the spontaneous brain activity of the subjects during seizure-free periods is consistent with that of healthy people, accurate local field potentials can be obtained after removing contaminated waves, thus overcoming the problem that scalp electroencephalograms are difficult to capture neural activities in the amygdala region due to lack of spatial resolution.

[0041] Because the intervention effect based on non-invasive light stimulation has brain region-specific frequency specificity, and the research data of other brain regions have limited reference value for studying the amygdala region, the light stimulation frequency that can affect the amygdala function obtained through the present invention has breakthrough value. The 10Hz light stimulation obtained through the present invention enhances the function of the left amygdala in the δ band and inhibits the function of the left amygdala in the θ band; the 50Hz light stimulation enhances the function of the left amygdala in the δ band and simultaneously inhibits the functions of the left amygdala in the θ, α, and β bands. Subsequently, this frequency range can be used to regulate the electrophysiological activities of the amygdala, providing clinical reference value for accurate intervention in regulating the function of the amygdala. In addition, the present invention also obtains that the change intensity of amygdala neural activity depends on the change intensity of neural activity in the light-driven response brain region. Subsequently, this frequency range can be used to study the synergistic and interactive effects between light-driven response brain regions, providing clinical reference value for how to accurately regulate brain activities through light stimulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below with reference to the accompanying drawings.

[0043] Figure 1 It is a schematic diagram of the system according to an embodiment of the present invention.

[0044] Figure 2 It is a schematic diagram of the technical solution example and process for testing the effectiveness of the stimulation parameters according to an embodiment of the present invention.

[0045] Figure 3 It is an example diagram of the neural activities before and during stimulation of the local field potential recording according to an embodiment of the present invention.

[0046] Figure 4 It is an example diagram of the calculation results of the frequency specificity for analyzing the frequency domain change of the function of the left amygdala according to an embodiment of the present invention.

[0047] Figure 5 It is an example diagram of the calculation results of the frequency specificity for analyzing the frequency domain change of the function of the right amygdala according to an embodiment of the present invention.

[0048] Figure 6 It is an example diagram of the calculation results for analyzing the dependence of the change intensity of amygdala neural activity on the light-driven response according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and should not be used to limit the protection scope of this application.

[0050] Unless otherwise specifically stated, the relative arrangements, numerical expressions, and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention. In all the examples shown and discussed herein, any specific value should be construed as merely exemplary and not as a limitation. Thus, other examples of the exemplary embodiments may have different values.

[0051] As Figure 1 shown, an analysis system for the effect of light stimulation on regulating amygdala function includes a light stimulation module, an intracranial electroencephalogram recording module, and an amygdala physiological activity analysis module.

[0052] Among them, the light stimulation module delivers intermittent light stimulations of different frequencies to the subject.

[0053] In some implementation manners, as Figure 2 shown, the light stimulation device in the light stimulation module is placed at a position 25 - 30 cm in front of the subject's eyes. The subject is required to open their eyes and can slightly squint if they feel uncomfortable. The light stimulation is carried out with the room curtains partially drawn to reduce the interference of ambient light and create a dim environment. In actual application, the light stimulation device can be placed at a farther or closer position to the subject according to the specific test situation.

[0054] In some implementation manners, the frequencies of the light stimulations delivered by the light stimulation module are set to: 5Hz, 10Hz, 20Hz, and 50Hz. Each frequency of light stimulation appears 10 times in a pseudo - random order. Each stimulation lasts for 15s, and there is a 15s rest period after each stimulation. It is divided into two blocks, with a 5 - minute interval between each block, and the total duration is 25 minutes. The intracranial electrodes continuously record the amygdala neural activity signals of the individual. The technician sets different stimulation parameters in a random order and starts the light stimulator, closely observing whether the subject reports any adverse reactions during the stimulation. In actual application, different light stimulation modes can be set according to the specific test situation, including different continuous stimulation times, interval times, etc.; or light stimulations of other frequencies can be delivered to the subject.

[0055] The intracranial electroencephalogram recording module records the continuous electroencephalogram signal data of the subject's amygdala before and during the light stimulation.

[0056] In some implementation manners, the subject is an epilepsy patient who needs to implant intracranial electrodes during clinical treatment. The spontaneous brain activity of the subject during the seizure - free period is consistent with that of healthy people. In actual application, the subject can be other patients who need to implant intracranial depth electrodes for treatment and whose spontaneous brain activity is indistinguishable from that of healthy people during the seizure - free period.

[0057] In some implementations, the intracranial electroencephalogram recording module records the continuous electroencephalogram signal data of the amygdala before and between light stimulations of the subject. Specifically, through stereotactic electroencephalogram technology in the brain, the local field potential data of the subject's amygdala is directly recorded by using the depth electrode, that is, the sum of the activity states of all nerve cell populations in the local nucleus of the neural network within a millimeter-level space near the local field potential within a millisecond-level time range. The recording time for subsequent analysis includes 15 s before the stimulation and 15 s during the stimulation. When recording, the subject is required to keep their eyes open. After each complete recording (about 10 minutes in total), the subject can rest for 5 minutes. In practical applications, some new high-resolution microelectrodes can improve the spatial resolution to the sub-millimeter level and achieve signal acquisition at the microsecond level.

[0058] The amygdala physiological activity analysis module preprocesses the continuous electroencephalogram signal data of the amygdala before and between the light stimulations;

[0059] In some embodiments, the steps of the preprocessing are as follows:

[0060] The continuous electroencephalogram signal data of the amygdala is divided into data segments of 15 s before the light stimulation and 15 s between the stimulations;

[0061] Each data segment is respectively subjected to a 1-Hz high-pass filter, the data is downsampled to 1000 Hz, and frame-by-frame inspection is performed at a length of 1 s. The subject selected in this embodiment is an epilepsy patient. Therefore, referring to the electroencephalogram signal time series activities of the target electrode and the surrounding electrodes, two professional analysts independently determine whether the data is contaminated by epileptic waves. If intermittent spikes or other forms of abnormal synchronous discharges are visually observed, it is determined that the data frame is contaminated by epileptic waves; finally, only the data segments that are determined by both analysts to be uncontaminated are retained. In practical applications, when selecting subjects with other disease types, the interference waveforms of the corresponding diseases should be removed;

[0062] The physical quantity most commonly used to characterize the energy characteristics in the frequency domain is the power spectral density. The Welch average periodogram method is used to characterize the power spectral density of the uncontaminated data segments in specific frequency bands. The specific frequency bands include the δ band of 1 - 4 Hz, the θ band of 4 - 8 Hz, the α band of 8 - 12 Hz, the β band of 12 - 30 Hz, the low-γ band of 30 - 60 Hz, the high-γ band of 60 - 90 Hz, and the ultra-frequency band of 90 - 200 Hz; specifically, in this embodiment, the pwelch function in the Matlab language is used to characterize the power spectral density of the specific frequency bands, where the parameters of the pwelch function are a window length of 1 s, a sliding window length of 0.5 s, NFFT of 2048, and a signal sampling rate of 1000 Hz. These parameters provide 1025 frequency points in the range of 0 - 500 Hz, and the frequency resolution is 0.488 Hz.

[0063] To eliminate the signal differences among individuals, the data of each subject were standardized, and the integral of the power spectral density in the frequency band of 1 - 200 Hz was calculated; the power spectral density of each specific frequency band was divided by the integral of the power spectral density in the frequency band of 1 - 200 Hz to obtain the relative power spectral density of each specific frequency band, that is, the pre - stimulation and inter - stimulation neural oscillation energies in specific frequency bands of the amygdala were obtained, which were used for subsequent calculation of the change rate of neural oscillation energy in specific frequency bands of the amygdala.

[0064] Figure 3 It shows the pre - processed neural activity signals of the subject individuals within 1 s before receiving non - invasive light stimulation and within 2 s after the appearance of light stimulation. It can be seen that an obvious frequency - specific light - driven response appears after the appearance of light stimulation.

[0065] After pre - processing the continuous electroencephalogram signal data of the amygdala, the functional changes of the amygdala in that frequency band were judged according to the change rate of neural oscillation energy in specific frequency bands, and a light - frequency - amygdala functional change database was formed, so as to obtain the stimulation frequency affecting the amygdala function of the subject individuals;

[0066] The change rate of the neural oscillation energy = [(energy between stimulations - energy before stimulation) / energy before stimulation]*100%. The change rate of the neural oscillation energy in a specific frequency band was compared with 0. When the change rate of the neural oscillation energy in a specific frequency band > 0 and there is a significant difference statistically, the function of the amygdala in that frequency band is enhanced; when the change rate of the neural oscillation energy in a specific frequency band < 0 and there is a significant difference statistically, the function of the amygdala in that frequency band is weakened;

[0067] The specific frequency bands include the δ band of 1 - 4 Hz, the θ band of 4 - 8 Hz, the α band of 8 - 12 Hz, the β band of 12 - 30 Hz, the low - γ band of 30 - 60 Hz, the high - γ band of 60 - 90 Hz, and the ultra - frequency band of 90 - 200 Hz;

[0068] The significant difference statistically refers to P < 0.05. Specifically, according to the data distribution, a t - test (when the data distribution is normal) or a Wilcoxon signed - rank sum test (when the data distribution is non - normal) was used, the statistical significance level was set to 0.05, and multiple comparison correction was performed using FDR correction;

[0069] Examples of the functional changes of the left and right amygdala are respectively as Figure 4 and Figure 5 shown. As Figure 4As shown in the first three lines, light stimulation affects the activity of the left amygdala. Specifically, light stimulation at 10 Hz enhances the activity in the δ band and inhibits the activity in the θ band, while 50 Hz significantly enhances the activity in the δ band and simultaneously inhibits the activity in the θ, α, and β (mid-high frequency) bands. However, as Figure 5 shown, no significant effect of light stimulation was found in the right amygdala. Figure 4 Figure 5 The fourth-line table of Figure 5 is only a schematic diagram for assisting in interpreting the results. The results show that light stimulation can only significantly affect the activity of the left amygdala and has a specific response to 10 Hz and 50 Hz, while no significant effect was found in the right amygdala.

[0070] Therefore, the light frequency - amygdala function change database is as follows: Light stimulation at 10 Hz enhances the δ band function of the left amygdala and inhibits the θ band function of the left amygdala; Light stimulation at 50 Hz enhances the δ band function of the left amygdala and simultaneously inhibits the θ, α, and β band functions of the left amygdala.

[0071] In practical applications, if light stimulation at other frequencies delivered to the subject can also affect the amygdala function, the light frequency - amygdala function change database can be further expanded.

[0072] In some implementation manners, the intracranial electroencephalogram recording module also simultaneously records the continuous electroencephalogram signal data of the brain regions with light-driven responses before and during the light stimulation received by the subject;

[0073] The amygdala physiological activity analysis module preprocesses the continuous electroencephalogram signal data of the brain regions with light-driven responses before and during the light stimulation. The preprocessing method is similar to that of preprocessing the continuous electroencephalogram signal data of the amygdala. The data segments without epileptic wave contamination are retained, and the relative power spectral density is used to characterize the neural oscillation energy of the brain regions with light-driven responses before and during the light stimulation. The specific content will not be elaborated here.

[0074] According to the formula: neural oscillation energy change rate = [(energy during stimulation - energy before stimulation) / energy before stimulation] * 100%, the neural oscillation energy change rate of the brain regions with light-driven responses and the neural oscillation energy change rate of the specific frequency bands of the amygdala are calculated respectively, and then the correlation between the two is analyzed; According to the data distribution, Pearson (when the data distribution is normal) or Spearman (when the data distribution is non-normal) test is used, the statistical significance level is set to 0.05, and FDR correction is used for multiple comparison correction. When there is a statistically significant difference, it is considered that there is a positive or negative correlation; A light frequency - correlation database is formed, so as to obtain that after the subject receives light stimulation, the change intensity of the amygdala neural activity depends on the change intensity of the neural activity in the brain regions with light-driven responses.

[0075] As Figure 6As shown, under 5 Hz light stimulation, the change rate of neural oscillation energy in the lateral occipital cortex in response to light stimulation is positively correlated with the change rate of neural oscillation energy in the theta band of the left amygdala; under 10 Hz stimulation, the change rate of neural oscillation energy in the optic radiation in response to light stimulation is positively correlated with the change rate of neural oscillation energy in the alpha band of the left amygdala, while the change rate of neural oscillation energy in the insula in response to light stimulation is negatively correlated with the change rate of neural oscillation energy in the alpha band of the left amygdala; under 50 Hz light stimulation, the change rate of neural oscillation energy in the lingual gyrus in response to light stimulation is negatively correlated with the change rate of neural oscillation energy in the low-frequency gamma band of the left amygdala, thereby forming a light frequency-correlation database.

[0076] In some implementation manners, the light-driven response brain regions include the lingual gyrus, the lateral occipital cortex, the optic radiation, and the insula. In practical applications, when other brain regions that can produce light-driven responses are discovered, the correlations between these brain regions and the amygdala can also be analyzed, and the light frequency-correlation database can be further expanded.

[0077] The advantages of the present invention are as follows: Through the intracranial stereoelectroencephalogram technology of the present invention, the local field potentials in the subcortical regions of the test subject are directly recorded by depth electrodes before and during the non-invasive light stimulation; the selected test subjects are epilepsy patients who need to implant intracranial electrodes during clinical treatment. Based on the characteristic that the spontaneous brain activity of the test subjects during the seizure-free period is consistent with that of healthy people, accurate local field potentials can be obtained after removing the contaminated waves, thereby overcoming the problem that scalp electroencephalogram is difficult to capture the neural activities in the subcortical regions due to the lack of spatial resolution.

[0078] Because the intervention effect based on non-invasive light stimulation has brain region-specific frequency specificity, and the research data of other brain regions have limited reference value for studying the amygdala region, the light stimulation frequency range affecting the function of the amygdala obtained by the present invention has breakthrough value. Subsequently, this frequency range can be used to regulate the electrophysiological activities of the amygdala, providing clinical reference value for accurate intervention in regulating the function of the amygdala. In addition, the present invention also obtains a light stimulation frequency range in which the change intensity of the neural activity in the amygdala depends on the change intensity of the neural activity in the light-driven response brain regions. Subsequently, this frequency range can be used to study the synergistic effects, interaction effects, etc. between the light-driven response brain regions, providing clinical reference value for how to accurately regulate brain activities through light stimulation.

[0079] Based on the above embodiments, the present invention also provides a non-transitory computer-readable medium, which stores program instructions. When the program instructions are executed by one or more processors, the one or more processors are caused to perform operations including the following items:

[0080] Record the continuous electroencephalogram signal data of the amygdala of the subject before and during the light stimulation;

[0081] Preprocess the continuous EEG signal data of the amygdala before and between light stimulations, judge the functional changes of the amygdala in a specific frequency band according to the change rate of neural oscillation energy in this frequency band, form a light frequency - amygdala functional change database, and thus obtain the stimulation frequency that affects the amygdala function of the test individual;

[0082] The change rate of neural oscillation energy = [(energy between stimulations - energy before stimulation) / energy before stimulation]*100%. Compare the change rate of neural oscillation energy in a specific frequency band with 0. When the change rate of neural oscillation energy in a specific frequency band > 0 and there is a significant difference statistically, the function of the amygdala in this frequency band is enhanced; when the change rate of neural oscillation energy in a specific frequency band < 0 and there is a significant difference statistically, the function of the amygdala in this frequency band is weakened;

[0083] The specific frequency bands include the δ band of 1 - 4 Hz, the θ band of 4 - 8 Hz, the α band of 8 - 12 Hz, the β band of 12 - 30 Hz, the low - γ band of 30 - 60 Hz, the high - γ band of 60 - 90 Hz, and the ultra - frequency band of 90 - 200 Hz;

[0084] The significant difference statistically means P < 0.05.

[0085] In some implementation manners, the operation further includes:

[0086] Simultaneously record the continuous EEG signal data of the brain regions with light - driven responses of the subject before and between light stimulations;

[0087] Preprocess the continuous EEG signal data of the brain regions with light - driven responses before and between light stimulations, analyze the correlation between the change rate of neural oscillation energy in the brain regions with light - driven responses and the change rate of neural oscillation energy in specific frequency bands of the amygdala, form a light frequency - correlation database, and thus obtain that after the test individual receives light stimulation, the intensity of neural activity change in the amygdala depends on the intensity of neural activity change in the brain regions with light - driven responses.

[0088] Those skilled in the art should understand that the above - mentioned embodiments are only the preferred implementation schemes of the present invention. The detailed description is only to help readers better understand the spirit of the present invention, rather than a limitation on the protection scope of the present invention. On the contrary, any improvement or modification made based on the spirit of the present invention should fall within the protection scope of the present invention.

Claims

1. An analysis system for the effect of light stimulation on regulating amygdala function, characterized in that: It includes light stimulation module, intracranial EEG recording module and amygdala physiological activity analysis module. Among them, the light stimulation module issues intermittent light stimulation of different frequencies to the subjects; The intracranial EEG recording module records the continuous EEG signal data of the amygdala of the subject before and between light stimulation; The amygdala physiological activity analysis module pre-processes the amygdala continuous EEG signal data before and between the light stimulation, determines the amygdala function change in a specific frequency band according to the neural oscillation energy change rate in the frequency band, and forms a light frequency-amygdala function change database, thereby obtaining the stimulation frequency that affects the amygdala function of the individual subject; The neural oscillation energy change rate = [(inter-stimulus energy - pre-stimulus energy) / pre-stimulus energy] * 100%. The neural oscillation energy change rate of a specific frequency band is compared with 0. When the neural oscillation energy change rate of a specific frequency band is greater than 0 and there is a statistically significant difference, the amygdala function of this frequency band is enhanced; when the neural oscillation energy change rate of a specific frequency band is less than 0 and there is a statistically significant difference, the amygdala function of this frequency band is weakened.

2. The analysis system for the effect of light stimulation on regulating amygdala function as claimed in claim 1, characterized in that: The specific frequency bands include a delta frequency band of 1-4 Hz, a theta frequency band of 4-8 Hz, an alpha frequency band of 8-12 Hz, a beta frequency band of 12-30 Hz, a low-gamma frequency band of 30-60 Hz, a high-gamma frequency band of 60-90 Hz, and an ultra-frequency frequency band of 90-200 Hz; The statistically significant difference refers to P < 0.05; The light frequency-amygdala function change database is as follows: 10Hz light stimulation enhances the left amygdala delta frequency band function and inhibits the left amygdala theta frequency band function; 50Hz light stimulation enhances the left amygdala delta frequency band function and inhibits the left amygdala theta, alpha and beta frequency band functions.

3. The analysis system for the effect of light stimulation on regulating amygdala function as claimed in claim 1, characterized in that: The intracranial EEG recording module also simultaneously records the continuous EEG signal data of the light-driven response brain area before and during the light stimulation of the subject; The amygdala physiological activity analysis module pre-processes the continuous EEG signal data of the light-driven reaction brain area before and between the light stimulation, analyzes the correlation between the rate of change of neural oscillation energy in the light-driven reaction brain area and the rate of change of neural oscillation energy in a specific frequency band of the amygdala, and forms a light frequency-correlation database, thereby concluding that after the subject receives light stimulation, the intensity of change of neural activity in the amygdala depends on the intensity of change of neural activity in the light-driven reaction brain area; The light frequency-correlation database is as follows: under 5Hz light stimulation, the rate of change of neural oscillation energy of the lateral occipital cortex to light stimulation is positively correlated with the rate of change of neural oscillation energy of the left amygdala theta frequency band; under 10Hz light stimulation, the rate of change of neural oscillation energy of the optic radiation to light stimulation is positively correlated with the rate of change of neural oscillation energy of the left amygdala alpha frequency band, while the rate of change of neural oscillation energy of the insula to light stimulation is negatively correlated with the rate of change of neural oscillation energy of the left amygdala alpha frequency band; under 50Hz light stimulation, the rate of change of neural oscillation energy of the lingual gyrus to light stimulation is negatively correlated with the rate of change of neural oscillation energy of the low-frequency gamma frequency band of the left amygdala.

4. The analysis system for the effect of light stimulation on regulating amygdala function as claimed in claim 3, characterized in that: The light-driven response brain regions include the lingual gyrus, lateral occipital cortex, optic radiation and insula.

5. The analysis system for the effect of light stimulation on regulating amygdala function as claimed in claim 1, characterized in that: The light stimulation module emits light stimulation frequencies in the following mode: each frequency of light stimulation appears 10 times in a pseudo-random order, each stimulation lasts for 15 seconds, and each stimulation includes a 15-second rest period, which is divided into two blocks, with an interval of 5 minutes between each block, and a total duration of 25 minutes.

6. The analysis system for the effect of light stimulation on regulating amygdala function as claimed in claim 1, characterized in that: The subjects are epilepsy patients who need to have deep intracranial electrodes implanted during clinical treatment. The spontaneous brain activity of the subjects during the period without epileptic seizures is consistent with that of healthy people.

7. The analysis system for the effect of light stimulation on regulating amygdala function as claimed in claim 6, characterized in that: The intracranial EEG recording module records the continuous EEG signal data of the subject's amygdala before and between light stimulations. Specifically, the local field potential data of the subject's amygdala is directly recorded using the depth electrodes through intracranial stereotactic EEG technology, that is, the sum of the activity states of all nerve cell groups in the local nucleus of the neural network within the millimeter-level spatial range near the local field potential within the millisecond-level time range.

8. The analysis system for the effect of light stimulation on regulating amygdala function as claimed in claim 1, characterized in that: The steps of preprocessing the continuous EEG signal data of the amygdala before and between light stimulation by the amygdala physiological activity analysis module are as follows: The continuous EEG signal data of the amygdala is divided into data segments before light stimulation and between stimulation; Each data segment is subjected to high-pass filtering and checked frame by frame according to the set time length. If intermittent spikes or other forms of abnormal synchronous discharges are visually observed, the data frame is determined to be contaminated; the uncontaminated data segments are retained after removal; The Welch average period method is used to characterize the power spectral density of the uncontaminated data segment in a specific frequency band; Calculate the integral of the power spectral density in the frequency range 1-200 Hz; The power spectral density of each specific frequency band was divided by the integral of the power spectral density of the 1-200 Hz frequency band to obtain the relative power spectral density of each specific frequency band, that is, the pre-stimulus and inter-stimulus neural oscillation energy of the amygdala specific frequency band was obtained, which was used to calculate the neural oscillation energy change rate of the amygdala specific frequency band.

9. A non-transitory computer-readable medium storing program instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: Record the continuous EEG signal data of the amygdala before and between light stimulation; Preprocessing the continuous EEG signal data of the amygdala before and between the light stimulation, judging the change of the amygdala function in a specific frequency band according to the rate of change of the neural oscillation energy in the frequency band, forming a database of light frequency-amygdala function change, thereby obtaining the stimulation frequency that affects the amygdala function of the individual subject; The neural oscillation energy change rate = [(inter-stimulus energy - pre-stimulus energy) / pre-stimulus energy] * 100%, the neural oscillation energy change rate of a specific frequency band is compared with 0, when the neural oscillation energy change rate of a specific frequency band is greater than 0 and there is a statistically significant difference, the amygdala function of the frequency band is enhanced; when the neural oscillation energy change rate of a specific frequency band is less than 0 and there is a statistically significant difference, the amygdala function of the frequency band is weakened; The specific frequency bands include a delta frequency band of 1-4 Hz, a theta frequency band of 4-8 Hz, an alpha frequency band of 8-12 Hz, a beta frequency band of 12-30 Hz, a low-gamma frequency band of 30-60 Hz, a high-gamma frequency band of 60-90 Hz, and an ultra-frequency frequency band of 90-200 Hz; The statistically significant difference refers to P < 0.

05.

10. The non-transitory computer readable medium of claim 9, wherein: The operations also include: At the same time, the continuous EEG signal data of the light-driven response brain area of ​​the subjects were recorded before and between light stimulation; The continuous EEG signal data of the light-driven reaction brain area before and between the light stimulation are preprocessed, and the correlation between the energy change rate of the neural oscillation in the light-driven reaction brain area and the energy change rate of the neural oscillation in a specific frequency band of the amygdala is analyzed to form a light frequency-correlation database, thereby concluding that after the subject receives light stimulation, the intensity of the change in the neural activity of the amygdala depends on the intensity of the change in the neural activity of the light-driven reaction brain area.

Images