Multi-region adjusting method and system based on transcranial time domain coherent stimulation

Abstract

The invention relates to the technical field of brain science, and discloses a multi-region adjustment method and system based on transcranial time domain coherent stimulation. The method specifically comprises the following steps: determining a stimulation sequence and a time interval of a plurality of target brain regions; respectively stimulating the plurality of target brain regions through the tTIS system under the corresponding stimulation sequence and time interval; the tTIS system comprises a plurality of pairs of electrodes, and every two pairs of electrodes act on the same target brain region; in the stimulation process, behavior data and brain nerve activity data of the individual in the behavior task are collected; and analyzing the behavior change trend of the individual according to the behavior data and the brain nerve activity data. According to the application, activation or inhibition of the cortical brain region and the deep brain region can be realized, and information transmission and functional connection among the target brain regions and improvement of complex cognitive tasks can be realized by accurately regulating and controlling the stimulation sequence and the time interval of the multiple target brain regions, so that the neural network function of the brain is optimized.

Description

Technical Field

[0001] The present application relates to the field of brain science and technology, and in particular to a multi-region regulation method and system based on transcranial time-domain coherent stimulation. Background Art

[0002] At present, common non-invasive brain stimulation technologies include transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS). These methods are widely used in neuromodulation and brain function research, but they have limitations. TMS (including repetitive TMS (rTMS), single-pulse TMS (sTMS) and double-pulse TMS (pTMS)) mainly acts on the cerebral cortex area. TMS devices usually cannot penetrate the cerebral cortex and therefore cannot directly affect the deep brain structures. tDCS and tACS also have certain deficiencies in accuracy when regulating deep neural networks.

[0003] Transcranial time-coherent stimulation (tTIS) is a non-invasive brain stimulation technology that applies electrical signals of different frequencies to the cerebral cortex or deep brain regions, and uses the time-domain interference effect to precisely regulate the activity of neurons, thereby activating or inhibiting brain activity. Unlike traditional stimulation modes, tTIS generates new stimulation frequencies through frequency interference, which can more accurately affect deep brain activity. In addition, tTIS can be combined with intermittent burst theta wave stimulation (iTBS) and continuous theta rhythmic stimulation (cTBS), which are used to activate (iTBS) and inhibit (cTBS) the cerebral cortical regions, respectively, to achieve neural network regulation. However, most current tTIS rely on the activation or inhibition of a single region, and less consideration is given to the interaction and information transmission between brain regions. There are still great challenges in regulating the dynamic cooperation and synergy between different brain regions in neural networks. Summary of the invention

[0004] The present application provides a multi-region regulation method based on transcranial time-domain coherent stimulation to solve the problems in the prior art that the cerebral cortex cannot be penetrated, the deep brain structures cannot be directly affected, and the regulation of the dynamic cooperation and synergy between different brain regions in the neural network still faces great challenges.

[0005] Correspondingly, the present application also provides a multi-region regulation system based on transcranial time-domain coherent stimulation to ensure the implementation and application of the above method.

[0006] In order to solve the above technical problems, the present application discloses a multi-region regulation method based on transcranial time-domain coherent stimulation, the method comprising:

[0007] Determine the stimulation sequence and time intervals for multiple target brain regions;

[0008] Under the corresponding stimulation sequence and time interval, multiple target brain areas are stimulated separately through the tTIS system; the tTIS system includes multiple pairs of electrodes, and every two pairs of electrodes act on the same target brain area;

[0009] During the stimulation process, the behavioral data and brain neural activity data of the individual in the behavioral task were collected;

[0010] Analyze individual behavior change trends based on behavioral data and brain neural activity data.

[0011] Preferably, determining the stimulation sequence and time interval of multiple target brain regions comprises:

[0012] Determine the stimulation order of multiple target brain areas; the stimulation order includes simultaneous activation, simultaneous inhibition, activation first and then inhibition, and inhibition first and then activation;

[0013] According to the transmission speed between multiple target brain areas, the time interval of the target brain areas is determined.

[0014] Preferably, determining the time interval of the target brain regions according to the transmission speed between the multiple target brain regions comprises:

[0015] If the transmission speed between the current target brain region and another target brain region is known, the time interval of the current target brain region is determined according to the known transmission speed;

[0016] If the transmission speed between the current target brain area and another target brain area is unknown, the current target brain area is stimulated by the tTIS system, and the response delay of the other target brain area is measured, and the time interval of the current target brain area is obtained based on the response delay calculation.

[0017] Preferably, during the stimulation process, behavioral data and brain neural activity data of the individual in the behavioral task are collected, including:

[0018] The behavioral data of the individual in the behavioral task are collected before and after the stimulation, and the brain neural activity data during the stimulation are collected.

[0019] Preferably, collecting brain nerve activity data during stimulation includes:

[0020] During stimulation, blood oxygen level-dependent signals of the individual's brain were acquired in combination with functional magnetic resonance imaging.

[0021] Preferably, the behavior change trend of an individual is analyzed based on the behavior data and brain neural activity data, including:

[0022] Based on the behavioral data and brain neural activity data of individuals in behavioral tasks before and after stimulation, the changing trends of individuals in behavioral tasks before and after stimulation were analyzed.

[0023] Preferably, analyzing the behavior change trend of an individual based on the behavior data and the brain neural activity data also includes:

[0024] Based on the behavioral data and brain neural activity data under different stimulation sequences, the behavioral change trends under different stimulation sequences are analyzed.

[0025] Preferably, analyzing the behavior change trend of an individual based on the behavior data and the brain neural activity data also includes:

[0026] Statistical methods are used to analyze behavioral data and brain neural activity data to construct a neural-behavioral association module; the neural-behavioral association module is used to reflect the mapping relationship between behavioral data and brain neural activity data.

[0027] The present application also discloses a multi-region regulation system based on transcranial time-domain coherent stimulation, the system comprising:

[0028] A stimulation sequence control and timing adjustment module is used to determine the stimulation sequence and time interval of multiple target brain regions;

[0029] The multi-region tTIS module is used to stimulate multiple target brain regions separately through the tTIS system under corresponding stimulation sequences and time intervals; the tTIS system includes multiple pairs of electrodes, and each two pairs of electrodes act on the same target brain region;

[0030] A data collection module is used to collect behavioral data and brain neural activity data of individuals in behavioral tasks during the stimulation process;

[0031] The data analysis module is used to analyze the behavioral change trends of individuals based on behavioral data and brain neural activity data.

[0032] In the present application, multiple target brain areas are stimulated separately by the tTIS system under the corresponding stimulation sequence and time interval. Among them, the tTIS system includes multiple pairs of electrodes, and every two pairs of electrodes act on the same target brain area, which can achieve activation or inhibition of cortical brain areas and deep brain areas. By accurately regulating the stimulation sequence and time intervals of multiple target brain areas, multiple target brain areas can be accurately adjusted within multiple time windows to achieve information transmission and functional connection between target brain areas, as well as the improvement of complex cognitive tasks, thereby optimizing the neural network function of the brain. During the stimulation process, the behavioral data and brain neural activity data of the individual in the behavioral task are collected to facilitate the subsequent analysis of the individual's behavioral change trend.

[0033] Additional aspects and advantages of the present application will be given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0035] Figure 1 A flowchart of a multi-region regulation method based on transcranial time-domain coherent stimulation provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of multi-region regulation using transcranial time-domain coherent stimulation provided in an embodiment of the present application;

[0037] Figure 3 A schematic diagram of the structure of a multi-region regulation system based on transcranial time-domain coherent stimulation provided in an embodiment of the present application.

[0038] Among them, 201-electrode; 202-target brain area. DETAILED DESCRIPTION

[0039] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be interpreted as limiting the present application.

[0040] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0041] Those skilled in the art will appreciate that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by those skilled in the art in the field to which the present invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as here.

[0042] The solution provided in the embodiments of the present application can be executed by any electronic device, such as a terminal device or a server, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, and the present application does not limit this. With regard to the technical problems existing in the prior art, the multi-region regulation method and system based on transcranial time domain coherent stimulation provided in the present application is intended to solve at least one of the technical problems of the prior art.

[0043] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0044] The present application embodiment provides a multi-region regulation method based on transcranial time-domain coherent stimulation, such as Figure 1 As shown in , the method may include the following steps:

[0045] Step 101, determining the stimulation sequence and time interval of multiple target brain regions.

[0046] Step 102, stimulating multiple target brain regions respectively through the tTIS system under corresponding stimulation sequences and time intervals; the tTIS system includes multiple pairs of electrodes, and every two pairs of electrodes act on the same target brain region.

[0047] In the embodiment of the present application, the tTIS system uses multiple pairs of electrodes, and each two pairs of electrodes act on the same brain area and are located at different positions of the target brain area. Figure 2 As shown, two pairs of electrodes 201 and two corresponding target brain areas 202 are shown.

[0048] By stimulating multiple target brain areas in a time-domain coherent manner, two pairs of electrodes are used to apply two different frequency electrical signals to the cerebral cortex or deep brain areas, thereby producing a highly efficient neuromodulatory effect within a specified time window. The combination of multiple pairs of electrodes can achieve activation and inhibition of different brain areas in different time sequences. The tTIS system utilizes the efficient penetration of transcranial time-domain coherent stimulation (tTIS) technology, which is not limited to the activation or inhibition of cortical brain areas, but can also achieve activation or inhibition of deep brain areas (such as striatum, hippocampus, etc.).

[0049] In the embodiment of the present application, according to the characteristics of the target brain area to be stimulated, and according to the transmission speed between brain areas, the optimal time interval is selected, so that accurate coordination between multiple brain areas in the neural circuit can be regulated. In addition, in the embodiment of the present application, different stimulation sequences are supported to achieve the desired neural network regulation effect.

[0050] Step 103, during the stimulation process, collect the behavioral data and brain neural activity data of the individual in the behavioral task.

[0051] In the embodiments of the present application, after stimulating the target brain area through tTIS, various behavioral tests can be combined to provide quantitative and qualitative behavioral feedback to help researchers and clinicians evaluate the impact of neuromodulation on individual behavior, such as evaluating the individual's cognitive ability, reaction time, attention, memory, emotional response, etc., so as to further optimize the neural stimulation plan.

[0052] Among them, behavioral tests can use the Matlab (psychtoolbox) toolkit to write codes to present experimental stimuli according to the experimental tasks. During the stimulation process, various sensing devices (such as reaction keyboards, mice, eye trackers, motion capture systems, etc.) are used to record behavioral responses in real time, and Matlab is used to perform code analysis on behavioral data.

[0053] In addition, brain neural activity data can be obtained through existing technologies, such as electroencephalogram (EEG), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), etc.

[0054] Step 104, analyzing the individual's behavioral change trend based on the behavioral data and brain neural activity data.

[0055] In the embodiment of the present application, the behavioral response during the stimulation process can be monitored and evaluated in real time, and the collected behavioral data can be correlated with the brain neural activity data to evaluate the specific impact of the stimulation on the individual's behavioral performance (such as the individual's performance in cognition, emotion, attention, etc. after the target brain area is adjusted by tTIS). Among them, the relationship between the behavioral data and the brain neural activity data generated by neural stimulation can reveal the mechanism of action of neural regulation between different brain areas. Based on the above method, in the embodiment of the present application, the stimulation of multiple brain areas is combined by combining time-domain coherent stimulation with traditional stimulation patterns, which can not only activate or inhibit each target brain area individually, but also accurately control the stimulation sequence and time interval between different target brain areas. Through the successive stimulation of different brain areas, the synergy of neural networks is explored, and information transfer and functional connection between brain areas are realized, promoting neural plasticity, and thus improving neural network function. This cross-brain stimulation mode breaks through the limitations of traditional technology and can provide new research tools and treatment methods for cognitive processes, emotional regulation, and the treatment of neuropsychiatric diseases.

[0056] In an embodiment of the present application, multiple target brain areas are stimulated separately by the tTIS system under corresponding stimulation sequences and time intervals. Wherein, the tTIS system includes multiple pairs of electrodes, and every two pairs of electrodes act on the same target brain area, which can activate or inhibit cortical brain areas and deep brain areas. By precisely regulating the stimulation sequence and time intervals of multiple target brain areas, multiple target brain areas can be accurately adjusted within multiple time windows to achieve information transmission and functional connection between target brain areas, as well as the improvement of complex cognitive tasks, thereby optimizing the neural network function of the brain. During the stimulation process, the behavioral data and brain neural activity data of the individual in the behavioral task are collected to facilitate the subsequent analysis of the individual's behavioral change trend.

[0057] In an optional embodiment, determining the stimulation sequence and time interval of multiple target brain regions includes:

[0058] Determine the stimulation order of multiple target brain areas; the stimulation order includes simultaneous activation, simultaneous inhibition, activation first and then inhibition, and inhibition first and then activation;

[0059] According to the transmission speed between multiple target brain areas, the time interval of the target brain areas is determined.

[0060] The embodiments of the present application can flexibly set the stimulation sequence and automatically adjust the time interval according to the transmission speed of the brain area, thereby ensuring the optimal configuration of the timing parameters and achieving precise regulation of multiple target brain areas in the brain neural network.

[0061] In an optional embodiment, determining the time interval of the target brain regions according to the transmission speed between the multiple target brain regions includes:

[0062] If the transmission speed between the current target brain region and another target brain region is known, the time interval of the current target brain region is determined according to the known transmission speed;

[0063] If the transmission speed between the current target brain area and another target brain area is unknown, the current target brain area is stimulated by the tTIS system, and the reaction delay of the other target brain area is measured, and the time interval of the current target brain area is calculated based on the reaction delay.

[0064] In the embodiments of the present application, the known transmission speed can be obtained from existing literature. The following method can be used to illustrate the acquisition of the unknown transmission speed:

[0065] If we study the speed of information transmission between the motor cortex and the prefrontal cortex in an experiment, we can stimulate the motor cortex through tTIS and then measure the response delay of the prefrontal cortex. Since the physical distance between the two is known, the speed of signal transmission can be inferred from the response delay time (e.g. 50 milliseconds).

[0066] If we study the speed of information transfer between the sensory cortex and the motor cortex of the brain in another experiment, we can stimulate the sensory cortex through tTIS and record the response of the motor cortex. Based on the known physical distance between the two, we can estimate the speed of information transfer from the sensory cortex to the motor cortex. Through multiple experiments, we can obtain the average transfer speed between different target brain regions.

[0067] The above method can be used to measure the actual transmission time between brain regions during the regulation process to achieve a more precise regulation effect. This timing regulation strategy will help study the information transmission between brain regions, neural plasticity, and the optimization of network function.

[0068] In an optional embodiment, during the stimulation process, behavioral data and brain neural activity data of the individual in the behavioral task are collected, including:

[0069] The behavioral data of the individual in the behavioral task before and after stimulation are collected respectively, and the brain neural activity data during the stimulation process is collected.

[0070] For example, in the embodiment of the present application, when using tTIS technology for neuromodulation stimulation, the individual's immediate response to the stimulation is monitored by eye tracking, and the reaction speed and accuracy in the behavioral task are analyzed. The eye tracking template mainly records the individual's eye movement data, such as the number of the subject's first saccades and the duration of the first saccade, and then the individual's accuracy and reaction time can be analyzed through MATLAB code or the Statistical Package for Social Sciences (SPSS).

[0071] In an optional embodiment, collecting the brain nerve activity data during the stimulation process includes:

[0072] During stimulation, functional magnetic resonance imaging (fMRI) was used to obtain the blood oxygen level-dependent (BOLD) signal of the individual's brain.

[0073] In the embodiment of the present application, the reaction time and accuracy of an individual can be collected through an experimental task (at least two activity levels) before stimulation using the tTIS technology, and then stimulation is performed to observe whether there is a significant difference in the reaction time and accuracy of the individual before and after stimulation. At the same time, fMRI can be used to record the BOLD signal of the individual's brain to study the function of brain regions.

[0074] In an optional embodiment, analyzing the behavior change trend of an individual based on the behavior data and the brain neural activity data includes:

[0075] Based on the behavioral data and brain neural activity data of individuals in behavioral tasks before and after stimulation, the changing trends of individuals in behavioral tasks before and after stimulation were analyzed.

[0076] In an optional embodiment, analyzing the behavior change trend of an individual based on the behavior data and the brain neural activity data further includes:

[0077] Based on the behavioral data and brain neural activity data under different stimulation sequences, the behavioral change trends under different stimulation sequences are analyzed.

[0078] In the embodiments of the present application, statistical methods, such as analysis of variance (ANOVA), regression analysis, etc., can be combined to analyze the behavioral change trends under different stimulation sequences and provide researchers with quantitative behavioral evaluation results.

[0079] In an optional embodiment, analyzing the behavior change trend of an individual based on the behavior data and the brain neural activity data further includes:

[0080] Statistical methods are used to analyze behavioral data and brain neural activity data to construct a neural-behavioral association module; the neural-behavioral association module is used to reflect the mapping relationship between behavioral data and brain neural activity data.

[0081] In the embodiments of the present application, the effects of neuromodulation on individual cognitive abilities, emotional responses, and behavioral performance are quantified. For example, through regression analysis, the relationship between the activity levels of the cerebral cortex and deep brain regions and behavioral performance (such as reaction time, accuracy, etc.) is found, thereby establishing a brain-behavior mapping relationship.

[0082] Based on the same principle as the method provided in the embodiment of the present application, the embodiment of the present application also provides a multi-region regulation system based on transcranial time-domain coherent stimulation, such as Figure 3 As shown, the system comprises:

[0083] The stimulation sequence control and timing adjustment module 301 is used to determine the stimulation sequence and time interval of multiple target brain regions;

[0084] A multi-region tTIS module 302 is used to stimulate multiple target brain regions respectively through a tTIS system under corresponding stimulation sequences and time intervals; the tTIS system includes multiple pairs of electrodes, and each two pairs of electrodes act on the same target brain region;

[0085] The data collection module 303 is used to collect the behavioral data and brain neural activity data of the individual in the behavioral task during the stimulation process;

[0086] The data analysis module 304 is used to analyze the behavior change trend of an individual based on the behavior data and brain neural activity data.

[0087] In an embodiment of the present application, multiple target brain areas are stimulated separately by the tTIS system under corresponding stimulation sequences and time intervals. Wherein, the tTIS system includes multiple pairs of electrodes, and every two pairs of electrodes act on the same target brain area, which can activate or inhibit cortical brain areas and deep brain areas. By precisely regulating the stimulation sequence and time intervals of multiple target brain areas, multiple target brain areas can be accurately adjusted within multiple time windows to achieve information transmission and functional connection between target brain areas, as well as the improvement of complex cognitive tasks, thereby optimizing the neural network function of the brain. During the stimulation process, the behavioral data and brain neural activity data of the individual in the behavioral task are collected to facilitate the subsequent analysis of the individual's behavioral change trend.

[0088] The multi-region regulation system based on transcranial time-domain coherent stimulation provided in the embodiment of the present application can achieve Figure 1 and Figure 2 To avoid repetition, the various processes implemented in the method embodiment are not described here.

[0089] The multi-region regulation system based on transcranial time-domain coherent stimulation of the embodiment of the present application can execute the multi-region regulation method based on transcranial time-domain coherent stimulation provided by the embodiment of the present application, and the implementation principle is similar. The actions performed by each module and unit in the multi-region regulation system based on transcranial time-domain coherent stimulation in each embodiment of the present application correspond to the steps in the multi-region regulation method based on transcranial time-domain coherent stimulation in each embodiment of the present application. For the detailed functional description of each module of the multi-region regulation system based on transcranial time-domain coherent stimulation, please refer to the description of the corresponding multi-region regulation method based on transcranial time-domain coherent stimulation shown in the previous text, which will not be repeated here.

[0090] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A multi-region modulation method based on transcranial time-domain coherent stimulation, characterized in that: The method comprises: Determine the stimulation sequence and time intervals for multiple target brain areas; Under corresponding stimulation sequences and time intervals, multiple target brain regions are stimulated respectively by a tTIS system; the tTIS system includes multiple pairs of electrodes, and each two pairs of electrodes act on the same target brain region; During the stimulation process, the behavioral data and brain neural activity data of the individual in the behavioral task were collected; The behavior change trend of the individual is analyzed based on the behavior data and the brain neural activity data.

2. The multi-region regulation method based on transcranial time-domain coherent stimulation according to claim 1, characterized in that: The step of determining the stimulation sequence and time interval of the plurality of target brain regions comprises: Determining a stimulation sequence for multiple target brain regions; the stimulation sequence includes simultaneous activation, simultaneous inhibition, activation first and then inhibition, and inhibition first and then activation; According to the transmission speed between multiple target brain areas, the time interval of the target brain areas is determined.

3. The multi-region regulation method based on transcranial time-domain coherent stimulation according to claim 2, characterized in that: Determining the time intervals of the target brain regions according to the transmission speeds between the multiple target brain regions includes: If the transmission speed between the current target brain region and another target brain region is known, the time interval of the current target brain region is determined according to the known transmission speed; If the transmission speed between the current target brain area and another target brain area is unknown, the current target brain area is stimulated by the tTIS system, and the reaction delay of the other target brain area is measured, and the time interval of the current target brain area is calculated based on the reaction delay.

4. The multi-region regulation method based on transcranial time-domain coherent stimulation according to claim 1, characterized in that: During the stimulation process, the behavioral data and brain neural activity data of the individual in the behavioral task are collected, including: The behavioral data of the individual in the behavioral task before and after stimulation are collected respectively, and the brain neural activity data during the stimulation process is collected.

5. The multi-region regulation method based on transcranial time-domain coherent stimulation according to claim 4, characterized in that: Collecting the brain nerve activity data during the stimulation process includes: During stimulation, blood oxygen level-dependent signals of the individual's brain were acquired in combination with functional magnetic resonance imaging.

6. The multi-region regulation method based on transcranial time-domain coherent stimulation according to claim 4, characterized in that: Analyzing the behavior change trend of an individual based on the behavior data and the brain nerve activity data includes: According to the behavioral data and the brain neural activity data of the individual in the behavioral task before and after the stimulation, the changing trend of the individual in the behavioral task before and after the stimulation is analyzed.

7. The multi-region regulation method based on transcranial time-domain coherent stimulation according to claim 6, characterized in that: Analyzing the behavior change trend of an individual according to the behavior data and the brain nerve activity data also includes: According to the behavior data and the brain nerve activity data under different stimulation sequences, the behavior change trends under different stimulation sequences are analyzed.

8. The multi-region regulation method based on transcranial time-domain coherent stimulation according to claim 6, characterized in that: Analyzing the behavior change trend of an individual according to the behavior data and the brain nerve activity data also includes: The behavior data and the brain neural activity data are analyzed using statistical methods to construct a neural-behavioral association module; the neural-behavioral association module is used to reflect the mapping relationship between the behavior data and the brain neural activity data.

9. A multi-region regulation system based on transcranial time-domain coherent stimulation, characterized in that: The system comprises: A stimulation sequence control and timing adjustment module is used to determine the stimulation sequence and time interval of multiple target brain regions; A multi-region tTIS module is used to stimulate multiple target brain regions respectively through a tTIS system under corresponding stimulation sequences and time intervals; the tTIS system includes multiple pairs of electrodes, and each two pairs of electrodes act on the same target brain region; A data collection module is used to collect behavioral data and brain neural activity data of individuals in behavioral tasks during the stimulation process; The data analysis module is used to analyze the individual's behavioral change trend based on the behavioral data and the brain neural activity data.

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