Memory enhancement system and method based on closed-loop regulation brain-computer interface

By implanting microelectrodes in the hippocampus and temporal cortex of the brain, the memory encoding ripples waveforms were identified and accurately stimulated, and the memory regulation inconsistent caused by individual differences was solved, and a personalized memory enhancement effect was achieved.

CN120459532APending Publication Date: 2025-08-12TSINGHUA UNIVERSITY
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Patent Information

Application Number
CN202510651834.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-20
Publication Date
2025-08-12

AI Technical Summary

Technical Problem

The existing brain-computer interface technology has poor effect in memory enhancement, mainly due to inconsistent regulatory effects due to individual differences and inappropriate time electrical stimulation.

Method used

By synchronously implanting microelectrodes in the hippocampus and temporal cortex across scales, the memory-encoded ripples waveform information is identified and the precise electrical stimulation output moment is feedback, and a customized closed-loop brain-computer interface system memory regulation strategy is provided.

Benefits of technology

Accurate memory regulation of different individuals is achieved, and the effect of memory enhancement is improved.

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Abstract

The invention provides a memory enhancement system and method based on a closed-loop regulation brain-computer interface, and relates to the technical field of medical equipment, and the system comprises a multi-channel neural activity detection unit which is used for collecting the field potential waveforms of a plurality of brain regions, related to memory cognition, of the brain of a target object; the electroencephalogram signal analysis unit is used for sending a corresponding control signal to the electrical stimulation output unit under the condition that the field potential waveform of any target brain region meets a preset triggering condition; and the electrical stimulation output unit is used for applying electrical stimulation to the target brain area under the condition of receiving the control signal sent by the electroencephalogram signal analysis unit. According to the memory enhancement system and method based on the closed-loop regulation and control brain-computer interface provided by the invention, by synchronously implanting the microelectrodes of the hippocampus multi-subregion and the temporal lobe cortex of the brain in a cross-scale manner, the waveform information of the memory coding spike ripple is effectively identified, and the accurate stimulation output moment is fed back; and a customized closed-loop brain-computer interface system memory regulation strategy can be provided for different individuals.
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Description

Technical Field

[0001] The present application relates to the field of medical equipment technology, and in particular to a memory enhancement system and method based on closed-loop control of a brain-computer interface. Background Art

[0002] Brain-computer interface technology is considered a highly effective treatment for neurodegenerative diseases, such as deep brain stimulation for essential tremor and Parkinson's disease. While brain-computer interface stimulation therapy has achieved promising clinical results for movement-related disorders, it has yet to demonstrate its effectiveness for non-motor problems such as cognition and memory.

[0003] Based on this, there is an urgent need for a memory enhancement system that utilizes a brain-computer interface to achieve precise electrical stimulation to enhance memory regulation. Summary of the Invention

[0004] The purpose of this application is to provide a memory enhancement system and method based on a closed-loop control brain-computer interface. By synchronously implanting microelectrodes across scales in multiple sub-regions of the hippocampus and temporal cortex of the brain, it can effectively identify the information of the memory-encoding sharpwave ripples (SWR) waveform, and accurately feedback the stimulation output time to the electrical stimulation output unit, providing customized closed-loop brain-computer interface system memory control strategies for different individuals.

[0005] The present application provides a memory enhancement system based on closed-loop control of a brain-computer interface, comprising: A multi-channel neural activity detection unit, an EEG signal analysis unit, and an electrical stimulation output unit; the multi-channel neural activity detection unit is used to collect field potential waveforms of multiple brain regions of the target subject's brain related to memory and cognition; the EEG signal analysis unit is used to send a corresponding control signal to the electrical stimulation output unit when the field potential waveform of any target brain region meets a preset trigger condition; the electrical stimulation output unit is used to apply electrical stimulation to the target brain region when it receives the control signal sent by the EEG signal analysis unit.

[0006] Optionally, the multiple brain regions include: hippocampal CA1 region, hippocampal CA3 region, hippocampal DG region and temporal lobe cortex region; each of the multiple brain regions is implanted with a detection probe; each of the multiple brain regions is implanted with an electrical stimulation probe; each brain region is implanted with a detection probe and an electrical stimulation probe.

[0007] Optionally, the detection probe and the electrical stimulation probe implanted in each of the plurality of brain regions are integrated into one component.

[0008] Optionally, the detection probe implanted in each brain region includes any of the following: a silicon-based electrode array and a microwire electrode array; each detection probe includes detection sites with a preset number of channels and corresponding ground electrode sites.

[0009] Optionally, a corresponding electrical stimulation site is provided near each detection site, and one electrical stimulation site corresponds to one electrical stimulation probe.

[0010] Optionally, the multi-channel neural activity detection unit is specifically configured to collect the field potential waveform of each of the multiple brain regions through a detection probe implanted in each of the multiple brain regions.

[0011] Optionally, the EEG signal analysis unit is specifically used to analyze the field potential waveform of the target brain area and identify the emission amplitude and emission frequency of the field potential waveform of the target brain area; the EEG signal analysis unit is also specifically used to send a corresponding control signal to the electrical stimulation output unit when the emission amplitude and emission frequency of the field potential waveform of the target brain area meet the preset trigger conditions; wherein the preset trigger conditions include: the emission amplitude and emission frequency of the field potential waveform meet the waveform characteristics of sharp wave ripples; and the control signal carries electrical stimulation parameters.

[0012] Optionally, the electrical stimulation output unit is specifically used to apply electrical stimulation to the target brain area through the electrical stimulation probe implanted in the target brain area according to the electrical stimulation parameters carried in the control signal when it receives the control signal sent by the electroencephalogram signal analysis unit.

[0013] Optionally, the target electrical stimulation parameters include: electrical stimulation output duration, electrical stimulation output frequency and electrical stimulation output amplitude; the target electrical stimulation parameters are: electrical stimulation parameters corresponding to the waveform of the sharp wave ripples extracted by the EEG signal analysis unit.

[0014] This application provides a memory enhancement method based on closed-loop control of a brain-computer interface, comprising: Acquire the field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain collected by the memory enhancement system based on closed-loop control brain-computer interface; analyze the field potential waveforms of the multiple brain regions to determine whether the field potential waveform of each brain region meets the waveform characteristics of sharp wave ripples; when the field potential waveform of any target region meets the waveform characteristics of sharp wave ripples, control the electrical stimulation output unit of the memory enhancement system based on closed-loop control brain-computer interface to apply electrical stimulation to the target brain region.

[0015] The present application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of any of the above-mentioned memory enhancement methods based on closed-loop control of a brain-computer interface.

[0016] The present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of the memory enhancement method based on closed-loop control of a brain-computer interface as described above are implemented.

[0017] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the memory enhancement method based on closed-loop control of the brain-computer interface as described above are implemented.

[0018] The memory enhancement system and method based on closed-loop control brain-computer interface provided by the present application include: a multi-channel neural activity detection unit, an EEG signal analysis unit, and an electrical stimulation output unit; the multi-channel neural activity detection unit is used to collect field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain; the EEG signal analysis unit is used to send a corresponding control signal to the electrical stimulation output unit when the field potential waveform of any target brain region meets a preset trigger condition; the electrical stimulation output unit is used to apply electrical stimulation to the target brain region when receiving the control signal sent by the EEG signal analysis unit. In this way, by synchronously implanting microelectrodes across scales in multiple sub-regions of the hippocampus and temporal lobe cortex of the brain, the information of the memory encoding sharp wave ripple waveform can be effectively identified, and the precise stimulation output time can be fed back to the electrical stimulation output unit, providing customized closed-loop brain-computer interface system memory control strategies for different individuals. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0020] Figure 1 This is a schematic diagram of the structure of the memory enhancement system based on closed-loop control brain-computer interface provided by this application; Figure 2 This is a control flow diagram of a memory enhancement system based on a closed-loop control brain-computer interface provided by this application; Figure 3 This is a schematic diagram of the arrangement of multi-channel neural activity detection electrodes and electrical stimulation electrode sites provided by this application; Figure 4This is a schematic diagram of the sharp wave ripple frequency extraction and customized electrical stimulation output provided by this application; Figure 5 This is a flow chart of the memory enhancement method based on closed-loop control of brain-computer interface provided by this application; Figure 6 It is a structural diagram of the electronic device provided in this application. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0022] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0023] The following is a detailed description of the professional terms involved in the embodiments of this application: In the context of field potential, "firing" usually refers to the process by which a group of neurons synchronously generate electrical activity, especially the triggering and transmission of action potentials. Neuronal "firing": refers to the action potential (i.e., "discharge") generated when a single neuron is activated. When a neuron receives enough input stimulation and reaches the threshold, it triggers a short electrical signal (action potential). This process is called "firing." "Firing" in field potential: In field potential recordings, "firing" usually refers to the synchronous electrical activity of a group of neurons (such as the sum of action potentials or postsynaptic potentials). Changes in the amplitude of the field potential reflect the intensity and synchronization of the activity of these neuronal groups.

[0024] Sharp-wave ripples (SWRs) are characteristic high-frequency neural oscillations in the hippocampus and related brain regions. They are closely related to memory consolidation, information recall, and spatial navigation. They are a key phenomenon in neuroscience research into memory mechanisms.

[0025] In related technologies, methods for regulating and enhancing cognitive memory are mainly based on open-loop brain-computer interface technology, which electrically stimulates and activates a specific brain area to characterize changes in memory. This method has not yet achieved very good regulatory results, mainly because it has obvious technical limitations in various aspects: First, due to individual differences, each individual's memory storage and representation location and characteristics are not completely consistent. Using a consistent regulatory scheme will make it difficult to achieve a specific regulatory method for each individual, which will directly lead to different regulatory results. Secondly, in the process of memory generation, whether effective stimulation is applied at the right time will directly affect the effect of regulation. Only with real-time and targeted regulatory feedback can an effective regulatory scheme be obtained.

[0026] In response to the above-mentioned technical problems existing in the memory regulation method, an embodiment of the present application provides a memory enhancement system based on a closed-loop regulation brain-computer interface. The system effectively identifies the information of the memory-encoding sharp wave ripple waveform by synchronously implanting microelectrodes in multiple sub-areas of the hippocampus and the temporal lobe cortex of the brain across scales, and feeds back the precise stimulation output time to the electrical stimulation module, providing customized closed-loop brain-computer interface system memory regulation strategies for different individuals.

[0027] The memory enhancement system based on closed-loop control of brain-computer interface provided by the embodiment of the present application is described in detail below with reference to specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0028] like Figure 1 As shown, an embodiment of the present application provides a memory enhancement system based on a closed-loop control brain-computer interface, which may include: a multi-channel neural activity detection unit, an electroencephalogram signal analysis unit, and an electrical stimulation output unit.

[0029] Exemplarily, the multi-channel neural activity detection unit is used to collect field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain; the EEG signal analysis unit is used to send a corresponding control signal to the electrical stimulation output unit when the field potential waveform of any target brain region meets a preset trigger condition; the electrical stimulation output unit is used to apply electrical stimulation to the target brain region upon receiving the control signal sent by the EEG signal analysis unit.

[0030] For example, Figure 2As shown, the multiple brain regions include: hippocampal CA1 region, hippocampal CA3 region, hippocampal DG region and temporal lobe cortex region; each of the multiple brain regions is implanted with a detection probe; each of the multiple brain regions is implanted with an electrical stimulation probe; each brain region is implanted with a detection probe and an electrical stimulation probe.

[0031] It is understandable that the probe is integrated with one or more electrodes (eg, a detection electrode with a diameter of 50 microns, or an electrical stimulation electrode with a diameter of 20 to 50 microns) as a carrier, and each electrode corresponds to one site.

[0032] For example, Figure 2 As shown, the above-mentioned channel neural activity detection unit is used to record the field potential waveforms of different sub-regions of the hippocampus and temporal lobe cortex areas related to memory cognition. The above-mentioned EEG signal analysis unit is used to dynamically extract the discharge moments of sharp wave ripples related to memory in the field potentials of the above-mentioned multiple brain regions, so as to trigger the electrical stimulation output unit to accurately output high-level signals; the above-mentioned electrical stimulation output unit is used to apply electrical stimulation to the regulated brain region, and can realize customized regulation based on the waveform characteristics of the detected sharp wave ripples and the issuing brain region. The above-mentioned multi-channel neural activity detection unit, EEG signal analysis unit and electrical stimulation output unit jointly complete the closed-loop brain-computer interface technology to realize the regulation and enhancement of the memory and cognitive functions.

[0033] In one possible visual method, the above-mentioned detection probes and electrical stimulation probes can be simultaneously implanted in different sub-regions of the hippocampus and the temporal lobe cortex of the subject. The above-mentioned detection probes and electrical stimulation probes can be integrated probes, that is, the detection probes and electrical stimulation probes implanted in each of the multiple brain regions are integrated into one component.

[0034] Exemplarily, the detection probes implanted in each brain region include either a silicon-based electrode array or a microwire electrode array. Each detection probe contains detection sites with a predetermined number of channels (e.g., 16 or 32 channels) and a corresponding ground electrode site. Each detection site is also adjacent to a corresponding electrical stimulation site, with one electrical stimulation site corresponding to one electrical stimulation probe. The EEG signals detected by the detection probes can be transmitted via wired or wireless means.

[0035] It should be noted that, in the embodiments of the present application, the brain regions to be implanted are designed with different lengths and distributions of detection sensitive sites. Different sub-regions of the temporal lobe and hippocampus are likely to become important locations for memory storage and regulation. The designed probe implantation will include these conventionally potentially relevant location areas as much as possible, specifically including the hippocampal CA1, CA3, DG areas, and temporal lobe cortex. The detection probe can be a silicon-based electrode array, a microwire electrode array, or any other probe that can be processed and suitable for implantation in the brain for field potential signal recording and electrical stimulation. In one possible implementation, silicon can be used as a substrate for electrode preparation. Silicon-based electrodes have a certain rigidity and can be accurately implanted in multiple brain regions.

[0036] For example, Figure 3 As shown, on each integrated probe, recording and stimulation electrodes are positioned close together at the same detection site. The negative electrode of the stimulation electrode is designed to be semicircular to reduce interference with other recording sites. Each detection site is adjacent to a corresponding electrical stimulation site. The EEG signals measured by the detection electrodes can be transmitted via wired or wireless interfaces, with wireless transmission significantly increasing the flexibility of the system.

[0037] Specifically, the multi-channel neural activity detection unit is specifically configured to collect the field potential waveform of each of the multiple brain regions through a detection probe implanted in each of the multiple brain regions. The electrical stimulation output unit is specifically configured to, upon receiving a control signal sent by the EEG signal analysis unit, apply electrical stimulation to the target brain region through the electrical stimulation probe implanted in the target brain region in accordance with the electrical stimulation parameters carried in the control signal.

[0038] For example, in an embodiment of the present application, the basis for determining whether to apply electrical stimulation is whether the amplitude and frequency of the field potential waveform of the brain region conform to the waveform characteristics of sharp wave ripples.

[0039] Based on this, the above-mentioned EEG signal analysis unit is specifically used to analyze the field potential waveform of the target brain area and identify the emission amplitude and emission frequency of the field potential waveform of the target brain area; the EEG signal analysis unit is also specifically used to send a corresponding control signal to the electrical stimulation output unit when the emission amplitude and emission frequency of the field potential waveform of the target brain area meet the preset trigger conditions; wherein the preset trigger conditions include: the emission amplitude and emission frequency of the field potential waveform meet the waveform characteristics of sharp wave ripples; the control signal carries electrical stimulation parameters.

[0040] For example, the spike wave ripple extraction algorithm can perform high-throughput, real-time analysis of field potential signals from various brain regions, dividing the waveforms into frequency bands. The algorithm can sequentially identify different field potential amplitude and frequency combinations and synchronously trigger the electrical stimulation system output when a high amplitude is followed by a high-frequency waveform change (spike wave ripple). In this embodiment of the present application, the trigger amplitude and trigger frequency can be dynamically defined for different subjects. That is, different subjects can set different trigger amplitudes and trigger frequencies, and judgments are made based on the pre-set trigger amplitudes and trigger frequencies.

[0041] It should be noted that in the embodiment of the present application, the following steps can be used to determine whether the field potential waveform of the brain area meets the waveform characteristics of the sharp wave ripple: after detecting that the discharge amplitude of the field potential waveform is greater than the preset trigger amplitude, and the subsequent discharge frequency of the field potential waveform is greater than the preset trigger frequency. The above-mentioned preset trigger amplitude and preset trigger frequency can be adjusted according to the physiological characteristics of the subject. At the same time, the relevant parameters of the electrical stimulation output by the electrical stimulation output unit can also be adjusted according to the physiological characteristics of the user.

[0042] For example, Figure 4 As shown, the online EEG analysis system feeds back the moment when the sharp wave ripple appears to the electrical stimulator through the law of changes in the combination of field potential amplitude and frequency (high amplitude is followed by high-frequency waveform changes), and stimulates the electrical stimulator to emit a stimulation signal with specific parameters, which is transmitted to the stimulation electrode port of the integrated electrode to apply stimulation regulation.

[0043] In this embodiment of the present application, the electrical stimulation output unit can synchronously output multi-channel electrical stimulation waveforms; the electrical stimulation output unit can also customize the output combined waveform based on the size of the detected spike wave ripple waveform; and the electrical stimulation output unit has an adjustable stimulation output duration. Specifically, the target electrical stimulation parameters include: electrical stimulation output duration, electrical stimulation output frequency, and electrical stimulation output amplitude; the target electrical stimulation parameters are: electrical stimulation parameters corresponding to the spike wave ripple waveform extracted by the EEG signal analysis unit.

[0044] The closed-loop control system of memory and cognitive functions formed by the above scheme can effectively identify the information encoded in memory in multiple brain regions, helping researchers to further optimize memory control strategies.

[0045] The memory enhancement system based on closed-loop control brain-computer interface provided in the embodiment of the present application includes: a multi-channel neural activity detection unit, an EEG signal analysis unit, and an electrical stimulation output unit; the multi-channel neural activity detection unit is used to collect field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain; the EEG signal analysis unit is used to send a corresponding control signal to the electrical stimulation output unit when the field potential waveform of any target brain region meets a preset trigger condition; the electrical stimulation output unit is used to apply electrical stimulation to the target brain region when receiving the control signal sent by the EEG signal analysis unit. In this way, by synchronously implanting microelectrodes across scales in multiple sub-regions of the hippocampus and the temporal lobe cortex of the brain, the information of the memory encoding sharp wave ripple waveform can be effectively identified, and the precise stimulation output time can be fed back to the electrical stimulation output unit, providing customized closed-loop brain-computer interface system memory control strategies for different individuals.

[0046] The memory enhancement method based on closed-loop control of brain-computer interface provided by the embodiment of the present application is described in detail below with reference to specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0047] like Figure 5 As shown, an embodiment of the present application provides a memory enhancement method based on closed-loop control of a brain-computer interface, which may include the following steps 501 to 503: Step 501: Acquire field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain collected by the memory enhancement system based on closed-loop control brain-computer interface.

[0048] Step 502: Analyze the field potential waveforms of the multiple brain regions to determine whether the field potential waveform of each brain region meets the waveform characteristics of sharp wave ripples.

[0049] Step 503: When the field potential waveform of any target area meets the waveform characteristics of sharp wave ripples, control the electrical stimulation output unit of the memory enhancement system based on closed-loop control brain-computer interface to apply electrical stimulation to the target brain area.

[0050] The memory enhancement method based on closed-loop control brain-computer interface provided in the embodiment of the present application first obtains the field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain collected by the memory enhancement system based on closed-loop control brain-computer interface; then, the field potential waveforms of the multiple brain regions are analyzed to determine whether the field potential waveform of each brain region meets the waveform characteristics of sharp wave ripples; finally, when the field potential waveform of any target region meets the waveform characteristics of sharp wave ripples, the electrical stimulation output unit of the memory enhancement system based on closed-loop control brain-computer interface is controlled to apply electrical stimulation to the target brain region. In this way, by synchronously implanting microelectrodes in multiple sub-regions of the hippocampus and the temporal lobe cortex across scales, the information of the memory encoding sharp wave ripple waveform is effectively identified, and the precise stimulation output time is fed back to the electrical stimulation output unit, providing customized closed-loop brain-computer interface system memory control strategies for different individuals.

[0051] Figure 6 An example of a physical structure diagram of an electronic device is shown below. Figure 6 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communications bus 640, wherein the processor 610, the communications interface 620, and the memory 630 communicate with each other via the communications bus 640. The processor 610 may call logic instructions in the memory 630 to execute a memory enhancement method based on a closed-loop control brain-computer interface. The method includes: first, obtaining field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain collected by the memory enhancement system based on the closed-loop control brain-computer interface; then, analyzing the field potential waveforms of the multiple brain regions to determine whether the field potential waveform of each brain region meets the waveform characteristics of sharp wave ripples; finally, if the field potential waveform of any target region meets the waveform characteristics of sharp wave ripples, controlling the electrical stimulation output unit of the memory enhancement system based on the closed-loop control brain-computer interface to apply electrical stimulation to the target brain region. In this way, by synchronously implanting microelectrodes across scales in multiple sub-regions of the hippocampus and temporal cortex of the brain, the information of the memory-encoding sharp wave ripple waveform can be effectively identified, and the precise stimulation output time can be fed back to the electrical stimulation output unit, providing customized closed-loop brain-computer interface system memory regulation strategies for different individuals.

[0052] In addition, the logical instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the existing technology, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0053] On the other hand, the present application also provides a computer program product, the computer program product including a computer program stored on a computer-readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer can perform the memory enhancement method based on the closed-loop control brain-computer interface provided by the above methods, the method comprising: first, obtaining the field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain collected by the memory enhancement system based on the closed-loop control brain-computer interface; then, analyzing the field potential waveforms of the multiple brain regions to determine whether the field potential waveform of each brain region meets the waveform characteristics of sharp wave ripples; finally, if the field potential waveform of any target region meets the waveform characteristics of sharp wave ripples, controlling the electrical stimulation output unit of the memory enhancement system based on the closed-loop control brain-computer interface to apply electrical stimulation to the target brain region. In this way, by synchronously implanting microelectrodes across scales in multiple subregions of the hippocampus and the temporal lobe cortex of the brain, the information of the memory encoding sharp wave ripple waveform is effectively identified, and the precise stimulation output time is fed back to the electrical stimulation output unit, providing a customized closed-loop brain-computer interface system memory regulation strategy for different individuals.

[0054] On the other hand, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the above-mentioned memory enhancement method based on a closed-loop control brain-computer interface, the method comprising: first, obtaining field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain collected by the memory enhancement system based on the closed-loop control brain-computer interface; then, analyzing the field potential waveforms of the multiple brain regions to determine whether the field potential waveform of each brain region meets the waveform characteristics of sharp wave ripples; finally, when the field potential waveform of any target region meets the waveform characteristics of sharp wave ripples, controlling the electrical stimulation output unit of the memory enhancement system based on the closed-loop control brain-computer interface to apply electrical stimulation to the target brain region. In this way, by synchronously implanting microelectrodes across scales in multiple subregions of the hippocampus and the temporal lobe cortex of the brain, the information of the memory encoding sharp wave ripple waveform is effectively identified, and the precise stimulation output time is fed back to the electrical stimulation output unit, providing a customized closed-loop brain-computer interface system memory regulation strategy for different individuals.

[0055] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0056] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A memory enhancement system based on closed-loop control of brain-computer interface, characterized in that: include: Multi-channel neural activity detection unit, EEG signal analysis unit, and electrical stimulation output unit; The multi-channel neural activity detection unit is used to collect field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain; The EEG signal analysis unit is configured to send a corresponding control signal to the electrical stimulation output unit when the field potential waveform of any target brain region meets a preset trigger condition; The electrical stimulation output unit is used to apply electrical stimulation to the target brain area upon receiving the control signal sent by the electroencephalogram signal analysis unit.

2. The memory enhancement system based on closed-loop control brain-computer interface according to claim 1 is characterized in that: The multiple brain regions include: hippocampal CA1 region, hippocampal CA3 region, hippocampal DG region and temporal lobe cortex region; each of the multiple brain regions is implanted with a detection probe; each of the multiple brain regions is implanted with an electrical stimulation probe; each brain region is implanted with a detection probe and an electrical stimulation probe.

3. The memory enhancement system based on closed-loop control brain-computer interface according to claim 2 is characterized in that: The detection probe and the electrical stimulation probe implanted in each of the plurality of brain regions are integrated into one component.

4. The memory enhancement system based on closed-loop control brain-computer interface according to claim 2 is characterized in that: The detection probe implanted in each brain region includes any of the following: a silicon-based electrode array and a microwire electrode array; each detection probe includes detection sites with a preset number of channels and corresponding ground electrode sites.

5. The memory enhancement system based on closed-loop control brain-computer interface according to claim 2 is characterized in that: A corresponding electrical stimulation site is also provided near each detection site, and one electrical stimulation site corresponds to one electrical stimulation probe.

6. The memory enhancement system based on closed-loop control brain-computer interface according to any one of claims 2 to 5, characterized in that: The multi-channel neural activity detection unit is specifically used to collect the field potential waveform of each of the multiple brain regions through the detection probe implanted in each of the multiple brain regions.

7. The memory enhancement system based on closed-loop control brain-computer interface according to any one of claims 2 to 5, characterized in that: The EEG signal analysis unit is specifically configured to analyze the field potential waveform of the target brain region and identify the discharge amplitude and discharge frequency of the field potential waveform of the target brain region; The EEG signal analysis unit is further configured to send a corresponding control signal to the electrical stimulation output unit when the amplitude and frequency of the field potential waveform of the target brain area meet the preset trigger condition; Among them, the preset trigger conditions include: the discharge amplitude and discharge frequency of the field potential waveform meet the waveform characteristics of sharp wave ripples; and the control signal carries electrical stimulation parameters.

8. The memory enhancement system based on closed-loop control brain-computer interface according to claim 7 is characterized in that: The electrical stimulation output unit is specifically used to apply electrical stimulation to the target brain area through the electrical stimulation probe implanted in the target brain area according to the electrical stimulation parameters carried in the control signal when receiving the control signal sent by the electroencephalogram signal analysis unit.

9. The memory enhancement system based on closed-loop control brain-computer interface according to claim 8, characterized in that: The target electrical stimulation parameters include: electrical stimulation output duration, electrical stimulation output frequency and electrical stimulation output amplitude; the target electrical stimulation parameters are: electrical stimulation parameters corresponding to the waveform of the sharp wave ripples extracted by the EEG signal analysis unit.

10. A memory enhancement method based on closed-loop control of brain-computer interface, characterized in that: Applicable to a memory enhancement system based on closed-loop control of a brain-computer interface as claimed in any one of claims 1 to 9; The method comprises: Acquiring field potential waveforms of multiple brain regions related to memory cognition in the target subject's brain collected by the memory enhancement system based on the closed-loop control brain-computer interface; Analyzing the field potential waveforms of the multiple brain regions to determine whether the field potential waveform of each brain region meets the waveform characteristics of sharp wave ripples; When the field potential waveform of any target area meets the waveform characteristics of sharp wave ripples, the electrical stimulation output unit of the memory enhancement system based on closed-loop control brain-computer interface is controlled to apply electrical stimulation to the target brain area.

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