Transcranial photostimulation devices and systems

Abstract

The present invention discloses a transcranial light stimulation device and system, wherein the device includes a memory and a processor, the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the following steps are implemented: obtaining brain image structure data and brain biological response data generated by the brain of a target object during transcranial light stimulation; constructing a first mapping relationship based on transcranial light stimulation parameters, brain image structure data and brain biological response data; receiving a test instruction for performing transcranial light stimulation on the target object; wherein the test instruction for transcranial light stimulation includes a target stimulation target area and a biological response intensity of the target stimulation target area; determining a target transcranial light stimulation parameter corresponding to the target biological response intensity based on the first mapping relationship; and performing transcranial light stimulation on the target stimulation target area of ​​the target object based on the target transcranial light stimulation parameter.

Description

Technical Field

[0001] The present invention relates to the fields of brain cognitive science research and medical auxiliary equipment, and more particularly, to a transcranial light stimulation device and system. Background Art

[0002] Transcranial light stimulation (TPS) is a leading technology for regulating brain activity, effectively improving cognition and disease. Existing TPS approaches typically use conventional or empirically based TPS parameters to stimulate the subject's brain. These parameters fail to consider individual differences in brain structure and how they respond to TPS, thus failing to guarantee TPS's effectiveness on the cerebral cortex. Summary of the Invention

[0003] One purpose of the embodiments of the present disclosure is to provide a new technical solution for a transcranial light stimulation device.

[0004] According to a first aspect of the present disclosure, a transcranial light stimulation device is provided, comprising a memory and a processor, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the following steps are implemented:

[0005] Acquiring brain imaging structural data and brain biological response data generated by the target subject's brain during transcranial light stimulation;

[0006] Constructing a first mapping relationship based on the transcranial light stimulation parameters, the brain image structure data, and the brain biological response data; wherein the first mapping relationship is used to represent a mapping relationship between the transcranial light stimulation parameters and the biological response intensity;

[0007] Receiving a test instruction for performing transcranial light stimulation on the target subject; wherein the test instruction includes a target stimulation area and a target biological response intensity corresponding to the target stimulation area;

[0008] determining, according to the first mapping relationship, a target transcranial light stimulation parameter corresponding to the target biological response intensity;

[0009] Transcranial photostimulation is performed on the target stimulation target area of ​​the target object according to the target transcranial photostimulation parameters.

[0010] Optionally, the step of constructing a first mapping relationship according to the transcranial optical stimulation parameters, the brain image structure data, and the brain biological response data includes:

[0011] Determining a second mapping relationship based on the brain image structure data and the transcranial optical stimulation parameters; wherein the second mapping relationship is used to represent a mapping relationship between a photon propagation path of a photon in the brain of the target subject and the transcranial optical stimulation parameters;

[0012] Determining a biological response change relationship based on the brain biological response data; wherein the biological response change relationship is used to characterize the relationship between the biological response changes in the target area and the non-target area;

[0013] The first mapping relationship is constructed according to the second mapping relationship and the biological response change relationship.

[0014] Optionally, the step of determining a second mapping relationship according to the brain image structure data and the transcranial optical stimulation parameters includes:

[0015] determining a corresponding brain structure layer according to the brain image structure data;

[0016] constructing an optical model of the brain tissue of the target object according to the optical parameters corresponding to each brain structure layer;

[0017] The transcranial optical stimulation parameters are input into the brain tissue optical model, and the second mapping relationship is determined through simulation calculation.

[0018] Optionally, the transcranial light stimulation parameters include at least one of light stimulation position, light stimulation direction, light stimulation coverage area and irradiance.

[0019] Optionally, the biological response change relationship includes a first biological response change relationship and a second biological response change relationship, and the step of determining the biological response change relationship based on the brain biological response data includes:

[0020] Compare the biological response data corresponding to the target area and the non-target area to determine the first biological response change relationship; wherein the first biological response change relationship is used to characterize the relationship between the biological response changes in the target area and the non-target area;

[0021] The biological response data corresponding to the true stimulus and the false stimulus are compared to determine the second biological response change relationship; wherein the second biological response change relationship is used to characterize the relationship between the biological response changes between the true stimulus and the false stimulus.

[0022] Optionally, when the program or instruction is executed by the processor, the following steps are further implemented:

[0023] Determine transcranial light stimulation parameters based on the brain image structure data.

[0024] Optionally, the transcranial light stimulation parameters include light stimulation direction and light stimulation position, and the step of determining the transcranial light stimulation parameters based on the brain image structure data includes:

[0025] determining a light stimulation position of the transcranial light stimulation according to the brain image structure data;

[0026] The light stimulation direction of the transcranial light stimulation is determined according to the light stimulation position of the transcranial light stimulation.

[0027] Optionally, the step of performing transcranial photostimulation on the target stimulation area of ​​the target object according to the target transcranial photostimulation parameters includes:

[0028] Obtaining the coordinates of the target stimulation area in the real coordinate system according to the coordinate conversion relationship between the head coordinate system and the real coordinate system;

[0029] Transcranial light stimulation is performed on the target stimulation target area of ​​the target object according to the coordinates of the target stimulation target area in a real coordinate system and the target transcranial light stimulation parameters.

[0030] Optionally, the brain biological response data is brain magnetic resonance data generated by the target subject's brain during transcranial light stimulation.

[0031] According to a second aspect of the present disclosure, there is also provided a transcranial light stimulation system, comprising:

[0032] transcranial photostimulation execution device;

[0033] As described in the first aspect, the transcranial light stimulation device is used to control the transcranial light stimulation execution device to perform transcranial light stimulation.

[0034] The transcranial light stimulation device provided in the embodiment of the present application can execute the acquisition of brain image structure data and brain biological response data generated by the brain of the target object during transcranial light stimulation; construct a first mapping relationship based on the transcranial light stimulation parameters, the brain image structure data and the brain biological response data; wherein the first mapping relationship is used to characterize the mapping relationship between the transcranial light stimulation parameters and the biological response intensity; receive a test instruction for performing transcranial light stimulation on the target object; wherein the test instruction includes a target stimulation target area and a target biological response intensity; according to the first mapping relationship, determine the target transcranial light stimulation parameters corresponding to the target biological response intensity; according to the target transcranial light stimulation parameters, perform transcranial light stimulation on the target stimulation target area of ​​the target object. In this way, according to the brain biological response data generated by the brain of the target object during transcranial light stimulation, a first mapping relationship between the transcranial light stimulation parameters and the biological response intensity corresponding to the individual target object can be established, and then based on the first mapping relationship, the transcranial light stimulation parameters for the target object can be adjusted, thereby enhancing the stimulation effect of transcranial light stimulation.

[0035] Further features and advantages of the present invention will become apparent from the following detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0037] Figure 1 is a structural diagram of a transcranial light stimulation device according to one embodiment;

[0038] Figure 2 is a structural diagram of a terminal device according to one embodiment;

[0039] Figure 3 is a flow chart of a method for determining transcranial optical stimulation parameters according to one embodiment;

[0040] Figure 4 is a distribution diagram of actual stimulation target areas according to one embodiment;

[0041] Figure 5 is a structural diagram of a transcranial photostimulation system according to one embodiment. DETAILED DESCRIPTION

[0042] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present application.

[0043] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.

[0044] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0045] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0046] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0047] Transcranial photostimulation can effectively improve cognition and disease, and its improvement effect depends on the dose of light stimulation received by the cerebral cortex. During transcranial photostimulation, light is incident through a target point outside the scalp, passes through the scalp, skull, and cerebrospinal fluid, and acts on the gray matter and white matter of the brain inside the skull, thereby regulating brain activity. However, individual brain structures vary greatly, and the gray matter, white matter, cerebrospinal fluid, skull, and scalp have different light propagation characteristics. This causes the same light to propagate differently in the brains of different subjects, and the light intensity that ultimately reaches the target cerebral cortex varies greatly.

[0048] However, existing transcranial light stimulation processes typically use experience-based or probabilistic transcranial light stimulation parameters to stimulate the subject's brain. This approach lacks consideration for individual brain differences and therefore cannot guarantee the intervention effect of transcranial light stimulation.

[0049] On this basis, the present application proposes a transcranial light stimulation device, comprising a memory and a processor, wherein the memory stores a program or instruction that can be run on the processor, and the program or instruction is executed by the processor to obtain brain image structure data and brain biological response data generated by the target object's brain during transcranial light stimulation, and based on the brain image structure data and brain biological response data, as well as transcranial light stimulation parameters, determine a first mapping relationship between the transcranial light stimulation parameters and the biological response intensity. Based on this first mapping relationship, when the target biological response intensity corresponding to the transcranial light stimulation test instruction is determined, the transcranial light stimulation parameters can be adjusted based on the target biological response intensity to achieve precise transcranial light stimulation of the target object.

[0050] The transcranial light stimulation device 100 of the embodiment of the present application will be described in detail below in conjunction with specific embodiments.

[0051] Figure 1 A schematic structural diagram of a transcranial light stimulation device according to an embodiment of the present application is shown.

[0052] like Figure 1 As shown, the transcranial light stimulation device 100 of the embodiment of the present application includes a processor 110 and a memory 120. The memory 120 stores programs or instructions that can be run on the processor 110, and when the programs or instructions are executed by the processor 110, the method steps of the parameter determination method of transcranial light stimulation are implemented.

[0053] In this embodiment, the transcranial light stimulation device 100 may be, for example, a terminal device. Figure 2 The terminal device 1000 is shown.

[0054] like Figure 2As shown, the terminal device 1000 may include a processor 1100, a memory 1200, an interface device 1300, a display device 1400, an input device 1500, etc. Among them, the processor 1100 is used to execute a computer program, and the computer program may use an instruction set of an architecture such as x86, Arm, RISC, MIPS, SSE, etc. The memory 1200 includes, for example, ROM (read-only memory), RAM (random access memory), and a non-volatile memory such as a hard disk. The interface device 1300 is a physical interface, such as a USB interface or a headphone jack. The display device 1400 may be a display screen, which may be a touch display screen. The input device 1500 may include a keyboard, a mouse, etc., and may also include a touch device.

[0055] In this embodiment, the memory 1200 of the terminal device 1000 is used to store a computer program that controls the processor 1100 to implement the method for determining parameters for transcranial optical stimulation according to any embodiment. A skilled person can design a computer program based on the scheme disclosed in this specification. How this computer program controls the operation of the processor 1100 is well known in the art and will not be described in detail here.

[0056] It should be understood by those skilled in the art that although Figure 1 Multiple devices of the terminal device 1000 are shown in the figure. The terminal device 1000 of the embodiment of the present disclosure may only involve some of the devices, or may also include other devices, which is not limited here.

[0057] Figure 3 A method for determining parameters of transcranial light stimulation according to an embodiment of the present application is shown, which includes the following steps S1100 to S1500.

[0058] Step S1100 , obtaining brain image structure data and brain biological response data generated by the target subject's brain during transcranial light stimulation.

[0059] In this embodiment, transcranial photostimulation technology plays an increasingly important role in human health. For example, near-infrared light with a wavelength range of 630 to 1100 nm can regulate circadian rhythms, promote vision development, or participate in vitamin metabolism in the body. Transcranial photostimulation, developed in recent years, uses near-infrared light to non-invasively penetrate the skull into the cerebral cortex, enhancing cognitive function and protecting nerves through a series of complex photobiological reactions. By affecting neurons with photons of specific wavelengths, it can be used to regulate the nerves of specific brain regions.

[0060] Before performing transcranial light stimulation on the target subject, the target subject may wear a flexible rubber sheet on the forehead of the face, and the flexible rubber sheet is tightly fitted and fixed according to the shape of the skull in the forehead. Figure 4 As shown, a plurality of actual stimulation target areas can be set on the flexible rubber sheet, namely actual stimulation target area 1 to actual stimulation target area 8.

[0061] Those skilled in the art should understand that the arrangement of multiple actual stimulation target areas or the number of target areas can be set according to actual conditions and is not limited here.

[0062] In addition, an actual stimulation target point can be set at the center of each actual stimulation target area, and the position of each actual stimulation target point can be marked with a liquid-containing marker. In other words, there is a one-to-one correspondence between the actual stimulation target point and the actual stimulation target area. For example, Figure 4 The actual stimulation target point 1 may be a target point at the center of the actual stimulation target area 1 .

[0063] After the actual stimulation target is set, transcranial photostimulation can be initiated on the target subject.

[0064] In this embodiment, before the formal transcranial light stimulation test is performed on the target subject's brain, brain imaging structural data of the target subject is collected. The brain imaging structural data may include data on the cranial structure of the target subject's head, i.e., structural data of the skull, cortex, and brain. The brain imaging structural data may be data obtained by a magnetic resonance imaging scanner, data obtained by a CT (computed tomography) scanner, data obtained by a PET-CT scan, etc.

[0065] Those skilled in the art should understand that magnetic resonance scanning technology, CT scanning technology and PET-CT scanning technology are well known in the art and will not be described in detail here.

[0066] In one example, the brain imaging structural data can be T1 structural MRI (sMRI) and diffusion tensor imaging (DTI), or other types of brain data, without limitation. In the structural images presented by the brain imaging structural data, contrast images of brain tissue, such as gray matter, white matter, and cerebrospinal fluid, can be represented by the brightness of the image. Furthermore, magnetic resonance imaging scanners can use different scanning sequences and parameters to collect different types of information.

[0067] The brain bio-response data may be bio-response data generated by the target subject's brain during transcranial photostimulation.

[0068] In one example, the brain biological response data may be multiple metabolic signals generated by the target subject's brain recorded by a broad-spectrum near-infrared recording module during transcranial light stimulation. The multiple metabolic signals may be cytochrome c oxidase (CCO) concentration data.

[0069] In another example, the brain biological response data may also be brain magnetic resonance imaging (MRI) functional data collected during transcranial light stimulation, such as functional MRI (fMRI) data.

[0070] Those skilled in the art should understand that there is no specific limitation on brain biological response data herein.

[0071] In some embodiments, the brain biological response data is brain magnetic resonance functional data generated by the target subject's brain during transcranial light stimulation.

[0072] In this embodiment, the brain magnetic resonance imaging data may be functional imaging data (Functional MRI, fMRI), or other types of brain function data, which are not limited here.

[0073] Functional imaging data can provide detailed images of brain activity and blood flow changes. In images presented by functional imaging data, brighter areas indicate more active neural activity. Therefore, brain MRI functional data collected by MRI can be used to determine the brain's biological response to transcranial light stimulation.

[0074] Step S1200 : constructing a first mapping relationship according to transcranial light stimulation parameters, the brain image structure data, and the brain biological response data.

[0075] In this embodiment, the first mapping relationship is used to characterize the mapping relationship between the transcranial light stimulation parameters and the biological reaction intensity, that is, the mapping relationship between the transcranial light stimulation parameters and the intracranial biological reaction intensity.

[0076] In some embodiments, the transcranial photostimulation parameters include at least one of a photostimulation position, a photostimulation direction, a coverage area of ​​the photostimulation, and an irradiance.

[0077] In this embodiment, the light stimulation location refers to the position of the head where the light stimulation is applied. The light stimulation direction refers to the angle of the light source relative to the cerebral cortex. The light stimulation coverage area refers to the area of ​​the cerebral cortex affected by the light stimulation. The irradiance refers to the distribution of the power (energy) emitted by the light source per unit area.

[0078] The parameters of transcranial photostimulation determine the effect of transcranial photostimulation, including the penetration depth of light, energy distribution, and potential effects on brain function.

[0079] In some embodiments, when the program or instruction is executed by the processor, the following steps are also implemented: step S3100.

[0080] Step S3100: determining transcranial light stimulation parameters according to the brain image structure data.

[0081] In some embodiments, the transcranial light stimulation parameters include light stimulation direction and light stimulation position. The step of determining the transcranial light stimulation parameters according to the brain image structure data in step S3100 includes: step S3101 and step S3202.

[0082] Step S3101 : determining the light stimulation position of the transcranial light stimulation according to the brain image structure data.

[0083] In this embodiment, the brain image structure data may be a T1 structure image. The T1 structure image may be represented as a three-dimensional matrix Z1, which includes the pixel data of the image. N bright spots Ci are identified from the brain magnetic resonance structure image as the center of the incident point of the light spot, that is, the light stimulation position of the transcranial light stimulation. The light stimulation position of the transcranial light stimulation may be as follows: Figure 4 An actual stimulation target is shown.

[0084] Step S3102 : determining the light stimulation direction of the transcranial light stimulation according to the light stimulation position of the transcranial light stimulation.

[0085] In some examples, the center of mass method can be used to calculate the light stimulation direction of transcranial light stimulation. Specifically, the light stimulation direction CP (unit vector) is determined by taking the light stimulation position Ci as the starting point and the center of mass position p of the cerebral cortex as the end point.

[0086] In other examples, the direction of light stimulation is determined by the balloon inflation method. Specifically, it is first necessary to calculate the distance between the selected light stimulation position Ci and all points on the surface of the cerebral cortex. Then find a group of points closest to the light stimulation position Ci. This group of points may be at different positions on the surface of the cerebral cortex, and they together constitute the nearest neighborhood of the light stimulation position Ci. After finding the nearest group of points, select one of the nearest points and record it as point P. Finally, the vector CP from the light stimulation position Ci to the point P on the surface of the cerebral cortex is used as the direction of light stimulation.

[0087] In some embodiments, the step of constructing a first mapping relationship according to the transcranial optical stimulation parameters, the brain image structure data, and the brain biological response data in step S1200 includes: steps S1211 to S1213.

[0088] Step S1211 : determining a second mapping relationship according to the brain image structure data and the transcranial optical stimulation parameters.

[0089] In this embodiment, the second mapping relationship is used to characterize the mapping relationship between the photon propagation path of the photon in the brain of the target object and the transcranial optical stimulation parameters.

[0090] In some examples, the transcranial photostimulation parameters can be expressed as (Z1, Ci, CP, di), where Z1 represents the T1 structural image. Ci is the photostimulation position, CP is the photostimulation direction, and di is the coverage area of ​​the photostimulation. The irradiance can be split into multiple numbers of photons. In other words, the irradiance in the transcranial photostimulation parameters is reflected by the number of photons. The second mapping relationship can be expressed as: R1 = f1 (Z1, Ci, CP, di), where R1 is the photon propagation path of the photon in the brain of the target object, and f1 is the mapping function.

[0091] It should be noted that irradiance can generally be divided into multiple photons. That is, the photon propagation path of the photons in the target subject's brain in the second mapping relationship corresponds to more than one photon, and should correspond to the photon propagation path of multiple photons. For example, the photon propagation path R1 in the target subject's brain may contain more than 10^6 photons.

[0092] In some embodiments, the step of determining the second mapping relationship according to the brain image structure data and the transcranial optical stimulation parameters in step S1211 includes: steps S2100 to S2300.

[0093] Step S2100: determining the corresponding brain structure layer according to the brain image structure data.

[0094] In this embodiment, the brain image structure data may be a T1 structural image. Image recognition, boundary segmentation, and stratification are performed on the T1 structural image. Recognition refers to identifying different structures and features in the T1 structural image.

[0095] Segmentation refers to separating different regions in the T1 structural image. Stratification refers to further decomposing the identified and segmented T1 structural image into different layers, with each brain structural layer representing different brain tissues or structures.

[0096] A passive approach can be used for the identification, segmentation, and stratification of T1 structural images.

[0097] Passive methods refer to automated methods, such as using algorithms such as CAT12 to perform T1 structural image recognition, segmentation, and stratification.

[0098] In some examples, an active approach can also be used to identify, segment, and stratify T1 structural images. The active approach refers to a manual method in which professionals manually stratify T1 structural images based on anatomical knowledge. This method may place greater emphasis on stratification accuracy.

[0099] The brain structure of the target object is divided into 5 to 7 layers (including fixed skin, skull, cerebrospinal fluid, etc.) through T1 structural images.

[0100] Step S2200: constructing an optical model of the brain tissue of the target object according to the optical parameters corresponding to each brain structure layer.

[0101] In this embodiment, a series of optical parameters, such as extinction coefficient, directivity, refractive index, and scattering coefficient, are preset for each brain structural layer. These optical parameters are important for describing the propagation characteristics of light in brain tissue. Through the above steps, the original three-dimensional T1 structural image matrix Z1 is converted into a seven-dimensional matrix Z2, which constitutes the target subject's brain tissue optical model. This brain tissue optical model can be used to simulate and study light propagation in the target subject's brain tissue.

[0102] Step S2300: input the transcranial optical stimulation parameters into the brain tissue optical model, and determine the second mapping relationship through simulation calculation.

[0103] In this embodiment, the transcranial optical stimulation parameters are input into the brain tissue optical model. Using a GPU-based Monte Carlo simulation algorithm and a modified Beer-Lambert law, the propagation decay paths R1 of more than 10^6 photons in the brain are output. This generates a second mapping relationship between the photon propagation paths in the target subject's brain and the transcranial optical stimulation parameters: R1 = f1(Z1, Ci, CP, di).

[0104] According to an embodiment of the present application, the corresponding brain structure layer is determined based on the brain image structure data, and a brain tissue optical model of the target subject is constructed based on the optical parameters corresponding to each brain structure layer. The transcranial light stimulation parameters are input into the brain tissue optical model, and the second mapping relationship is determined through simulation calculation. In this way, the propagation of transcranial light stimulation in the target subject's brain can be simulated, that is, the individual cranial optical path is simulated. Based on the brain tissue optical model, the light stimulation dose applied by transcranial light stimulation to the target subject's cerebral cortex can be accurately determined, thereby ensuring the intervention effect of transcranial light stimulation.

[0105] Step S1212: Determine the biological response change relationship based on the brain biological response data.

[0106] In some embodiments, the biological response change relationship includes a first biological response change relationship and a second biological response change relationship. The step of determining the biological response change relationship based on the brain biological response data in step S1212 includes: step S1212.1 and step S1212.2.

[0107] Step S1212.1: Compare the biological response data corresponding to the target area and the non-target area to determine the first biological response change relationship.

[0108] In this embodiment, the biological response change relationship includes a first biological response change relationship and a second biological response change relationship. The first biological response change relationship is used to characterize the relationship between biological response changes in the target area and the non-target area. The first biological response change relationship can be expressed as: R2 = f2(target, nontarget). Wherein, target represents the target area and nontarget represents the non-target area.

[0109] The target region refers to the brain region directly stimulated by transcranial photostimulation. The non-target region is the opposite of the target region, meaning it is the brain region not directly stimulated by photostimulation.

[0110] Step S1212.2: Compare the biological response data corresponding to the true stimulus and the false stimulus to determine the second biological response change relationship.

[0111] In this embodiment, the second biological response change relationship is used to characterize the relationship between biological response changes between true stimulation and false stimulation. Therefore, the second biological response change relationship can be expressed as: R2=f2(true stimulation, false stimulation).

[0112] True stimulation refers to the light stimulation being on for a certain period of time (target time), and sham stimulation refers to the light stimulation being off for a certain period of time (non-target time).

[0113] For example, brain bio-response data can be brain MRI functional data. The differences in brain MRI functional data between target and non-target areas, and between target and non-target times, can be compared to determine the relationship between changes in bio-response. Target time refers to the specific time period during which light stimulation is applied. Non-target time refers to the time period during which light stimulation is not applied, serving as a control to eliminate the influence of other non-specific factors.

[0114] Step S1213: construct the first mapping relationship according to the second mapping relationship and the biological response change relationship.

[0115] In this embodiment, the second mapping relationship can be expressed as: R1 = f1(Z1, Ci, CP, di). The biological response change relationship can be expressed as R2 = f2(target, nontarget) and R2 = f2(true stimulation, false stimulation). The second mapping relationship R1 = f1(Z1, Ci, CP, di) can be converted through the biological response change relationship to establish the first mapping relationship, that is, the mapping relationship R2 = f3(Z1, Ci, CP, di) between the transcranial light stimulation parameters and the biological response intensity.

[0116] Step S1300: receiving a test instruction for performing transcranial light stimulation on the target object.

[0117] In this embodiment, after executing steps S1100 and S1300, a formal transcranial light stimulation test is performed on the target subject, i.e., steps S1300 to S1500 are executed. During the formal test, the transcranial light stimulation device can receive a test instruction input by a tester to perform transcranial light stimulation on the target subject. The transcranial light stimulation test instruction includes a target stimulation area and a target biological response intensity corresponding to the target stimulation area.

[0118] For example, a test instruction for transcranial light stimulation may be to stimulate a target region in the head coordinate space to induce a biological response of a target biological response intensity. The target stimulation region may be, for example, a superficial brain region or a deep nucleus.

[0119] It should be noted that when the target stimulation area is superficial brain regions, only the first mapping relationship between transcranial light stimulation parameters and biological response intensity needs to be used to determine the target transcranial light stimulation parameters. When the target stimulation area is deep nuclei, in addition to the first mapping relationship, a mapping relationship based on functional or structural connectivity is also required, mapping from the superficial cortex to the deep nuclei.

[0120] It should be noted that the target stimulation area refers to the target area of ​​light stimulation in the head coordinate system, which is not Figure 4 When performing transcranial light stimulation on a target stimulation area, it is necessary to convert the target stimulation area into a corresponding actual stimulation target area.

[0121] Those skilled in the art should understand that the correspondence between the target stimulation area and the actual stimulation area is existing content and will not be elaborated here.

[0122] Step S1400: determining target transcranial light stimulation parameters corresponding to the target biological response intensity according to the first mapping relationship.

[0123] In this embodiment, based on the target biological response intensity, the target transcranial light stimulation parameters corresponding to the target biological response intensity are inversely solved through the first mapping relationship. For example, the light stimulation position Ci, the light stimulation direction CP, the light stimulation coverage area di, and the irradiance P are inversely solved.

[0124] Step S1500 : performing transcranial photostimulation on the target stimulation area of ​​the target object according to the target transcranial photostimulation parameters.

[0125] In this embodiment, the transcranial photostimulation execution device is controlled to perform transcranial photostimulation on the target stimulation target area of ​​the target object according to the target transcranial photostimulation parameters.

[0126] In some embodiments, the transcranial light stimulation execution device can be a light stimulation matrix cap that fits the scalp and can output a corresponding light stimulation array based on target transcranial light stimulation parameters.

[0127] Specifically, the light stimulation matrix hat includes a multi-channel splitter controller. After the transcranial light stimulation device inversely decodes the target transcranial light stimulation parameters, it can control the multi-channel splitter controller to adjust the on / off and intensity of the laser, so that the light stimulation matrix hat outputs a light stimulation array corresponding to the target transcranial light stimulation parameters, which directly acts on the target subject's head.

[0128] In other embodiments, the device for performing transcranial photostimulation includes a beam spotter.

[0129] In this embodiment, the beam splitter is a beam splitter compatible with nuclear magnetic resonance (MRI). When designing the beam splitter, due to the limited space of the MRI coil, the height of the beam splitter needs to be limited to less than 2 cm. This application uses a right-angle prism to change the optical path, combining the prism and the beam splitter in the same device, so that the height of the beam splitter is shortened to less than 2 cm. In addition, the beam splitter is made of non-metallic materials, and the beam splitter itself and its connectors do not contain any magnetic metal. The laser transmission uses quartz fiber material, making the device compatible with the high magnetic field and confined space of MRI.

[0130] In these embodiments, the beam splitter can be moved to the target stimulation area by a robotic arm. Since the target transcranial light stimulation parameters are coordinate positions in the head coordinate system, and the movement of the beam splitter by the robotic arm must be based on the real coordinate system, when the transcranial light stimulation execution device includes the beam splitter, step S1500 of performing transcranial light stimulation on the target stimulation area of ​​the target subject according to the target transcranial light stimulation parameters includes steps S4100 and S4200.

[0131] Step S4100: Obtain the coordinates of the target stimulation area in the real coordinate system according to the coordinate conversion relationship between the head coordinate system and the real coordinate system.

[0132] In this embodiment, the head coordinate system can be a coordinate system established based on brain imaging data. The real coordinate system can refer to a physical space coordinate system used in actual applications, such as the position of a light source relative to the target subject's head during transcranial light stimulation.

[0133] Step S4200 , performing transcranial light stimulation on the target stimulation target area of ​​the target object according to the coordinates of the target stimulation target area in the real coordinate system and the target transcranial light stimulation parameters.

[0134] In this embodiment, after the coordinates of the target stimulation area in the real coordinate system are determined, a handheld or automatic mechanical arm is used to transport the light beam emitter for light stimulation to the target stimulation area.

[0135] According to the transcranial light stimulation device provided in the embodiment of the present application, it can execute the acquisition of brain image structure data and brain biological response data generated by the brain of the target object during transcranial light stimulation; construct a first mapping relationship based on the transcranial light stimulation parameters, the brain image structure data and the brain biological response data; wherein the first mapping relationship is used to characterize the mapping relationship between the transcranial light stimulation parameters and the biological response intensity; receive a test instruction for performing transcranial light stimulation on the target object; wherein the test instruction for transcranial light stimulation includes a target stimulation target area and a target biological response intensity; according to the first mapping relationship, determine the target transcranial light stimulation parameters corresponding to the target biological response intensity; according to the target transcranial light stimulation parameters, perform transcranial light stimulation on the target stimulation target area of ​​the target object. In this way, according to the brain biological response data generated by the brain of the target object during transcranial light stimulation, a first mapping relationship between the transcranial light stimulation parameters and the biological response intensity corresponding to the individual target object can be established, and then based on the first mapping relationship, the transcranial light stimulation parameters for the target object can be adjusted, thereby enhancing the stimulation effect of transcranial light stimulation.

[0136] <System Example>

[0137] In this embodiment, if Figure 5 As shown, a transcranial light stimulation system 500 is also provided. The system 500 includes: a transcranial light stimulation execution device 510 and a transcranial light stimulation device 520.

[0138] Among them, the transcranial light stimulation device 520 can be as follows Figure 1 The transcranial light stimulation device shown, the transcranial light stimulation device 520 is used to control the transcranial light stimulation execution device 510 to perform transcranial light stimulation.

[0139] In some embodiments, the transcranial photostimulation delivery device may be a beam spotter.

[0140] In other embodiments, the transcranial photostimulation implementation device may be a photostimulation matrix cap that fits the scalp.

[0141] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

Claims

1. A transcranial light stimulation device, characterized in that: The system comprises a memory and a processor, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the following steps are implemented: Acquiring brain image structure data and brain biological response data generated by the target subject's brain during transcranial light stimulation; wherein the biological response data is a multi-channel metabolic signal of the target subject's brain; Constructing a first mapping relationship based on transcranial light stimulation parameters, the brain image structure data, and the brain biological response data; wherein the first mapping relationship is used to represent a mapping relationship between transcranial light stimulation parameters and intracranial biological response intensity, the transcranial light stimulation parameters including light stimulation direction, light stimulation coverage area, and irradiance; receiving a test instruction for performing transcranial light stimulation on the target object; wherein the test instruction for transcranial light stimulation includes a target stimulation area and a target biological response intensity corresponding to the target stimulation area; determining, according to the first mapping relationship, a target transcranial light stimulation parameter corresponding to the target biological response intensity; performing transcranial photostimulation on the target stimulation area of ​​the target object according to the target transcranial photostimulation parameters; The step of constructing a first mapping relationship according to the transcranial optical stimulation parameters, the brain image structure data, and the brain biological response data includes: Determining a second mapping relationship based on the brain image structure data and the transcranial optical stimulation parameters; wherein the second mapping relationship is used to represent a mapping relationship between a photon propagation path of a photon in the brain of the target subject and the transcranial optical stimulation parameters; determining a biological response change relationship based on the brain biological response data; The first mapping relationship is constructed according to the second mapping relationship and the biological response change relationship.

2. The device according to claim 1, characterized in that The step of determining a second mapping relationship based on the brain image structure data and the transcranial optical stimulation parameters includes: determining a corresponding brain structure layer according to the brain image structure data; constructing an optical model of the brain tissue of the target object according to the optical parameters corresponding to each brain structure layer; The transcranial optical stimulation parameters are input into the brain tissue optical model, and the second mapping relationship is determined through simulation calculation.

3. The device according to claim 1, characterized in that The biological response change relationship includes a first biological response change relationship and a second biological response change relationship. The step of determining the biological response change relationship based on the brain biological response data includes: Compare the biological response data corresponding to the target area and the non-target area to determine the first biological response change relationship; wherein the first biological response change relationship is used to characterize the relationship between the biological response changes in the target area and the non-target area; The biological response data corresponding to the true stimulus and the false stimulus are compared to determine the second biological response change relationship; wherein the second biological response change relationship is used to characterize the relationship between the biological response changes between the true stimulus and the false stimulus.

4. The device according to claim 1, characterized in that When the program or instruction is executed by the processor, the following steps are further implemented: The step of determining transcranial light stimulation parameters according to the brain image structure data.

5. The device according to claim 4, characterized in that The transcranial light stimulation parameters include light stimulation direction and light stimulation position. The step of determining the transcranial light stimulation parameters based on the brain image structure data includes: determining a light stimulation position of the transcranial light stimulation according to the brain image structure data; The light stimulation direction of the transcranial light stimulation is determined according to the light stimulation position of the transcranial light stimulation.

6. The device according to claim 1, characterized in that The step of performing transcranial photostimulation on the target stimulation area of ​​the target object according to the target transcranial photostimulation parameters comprises: Obtaining the coordinates of the target stimulation area in the real coordinate system according to the coordinate conversion relationship between the head coordinate system and the real coordinate system; Transcranial light stimulation is performed on the target stimulation target area of ​​the target object according to the coordinates of the target stimulation target area in the real coordinate system and the target transcranial light stimulation parameters.

7. The device according to claim 1, characterized in that The brain biological response data is brain magnetic resonance data generated by the target subject's brain during transcranial light stimulation.

8. A transcranial light stimulation system, characterized in that: include: transcranial photostimulation execution device; The transcranial light stimulation device according to any one of claims 1 to 7, wherein the transcranial light stimulation device is used to control the transcranial light stimulation execution device to perform transcranial light stimulation.

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