Non-invasive brain network nerve regulation and control system and control method thereof

Abstract

The invention discloses a non-invasive brain network nerve regulation and control system and a control method thereof. Magnetic resonance imaging / diffusion tensor imaging data of a testee are collected and processed, and double-target reliable positioning is carried out; determining an acoustic transducer channel layout and initial acoustic stimulation parameters according to the network model; transmitting a multi-channel multi-mode modulation acoustic stimulation signal, stimulating the cochlea to synchronously generate a multi-mode bioelectric pulse signal, and stimulating the cochlea to generate a multi-mode bioelectric pulse; synchronously or asynchronously acquiring feedback signals of different stages of EEG / EMG and extracting orbicular oculi muscle and cortex response characteristics; acoustic stimulation parameters of all channels are dynamically adjusted and optimized through a feedback algorithm, an acoustic stimulation parameter report is generated, cochlea and deep nuclei thalamus-ganglion-motor cortex loops are accurately excited and regulated to generate electrophysiological response through audible acoustic multi-mode stimulation, and the device has the advantages of being non-invasive, safe, adjustable in height, low in cost and the like.

Description

Technical Field

[0001] This invention relates to the technical field of diagnostic and treatment system equipment, and in particular to a non-invasive brain network neural modulation system and its control method. Background Technology

[0002] Meige syndrome is mainly characterized by bilateral paroxysmal spasms of the orbicularis oculi muscles. It is the result of imbalances in multiple neural circuits and at multiple levels, involving mechanisms such as thalamic and basal ganglia output, motor cortex inhibition, neurotransmitter imbalance, and sensory-motor integration abnormalities. This leads to an imbalance between excitation and inhibition in neural circuits, resulting in an inability to effectively control involuntary contractions of facial muscles.

[0003] There is an urgent need for a safe, repeatable, and low-cost non-invasive deep thalamic and basal ganglia modulation system specifically for the long-term management of blepharospasm symptoms. Summary of the Invention

[0004] To solve the above-mentioned technical problems, one technical solution adopted by the present invention is: to provide a non-invasive brain network neuromodulation system and its control method, which precisely excites and modulates the cochlea and deep nuclei thalamus-ganglionia-motor cortex circuit to generate electrophysiological responses by utilizing audible acoustic multimodal stimulation, including:

[0005] (1) A multi-channel multimodal audible transducer unit, used to generate multi-channel multimodal modulated acoustic stimulation signals in the range of 20Hz~20kHz, to stimulate the cochlea to generate multimodal bioelectric pulse signals synchronously;

[0006] (2) Acoustic stimulation implementation and control unit, used to independently set and adjust the frequency, sound pressure level, modulation mode, rhythm, waveform, stimulation energy and stimulation time of each channel in real time to implement personalized acoustic stimulation to the cochlea; by precisely controlling the stimulation parameters, parameter combinations and stimulation mode combinations, under the guidance of assisted image navigation and EEG detection feedback analysis, it can achieve effective bidirectional stimulation and neural regulation of the main neural closed loop composed of thalamus-motor cortex-basal ganglia-thalamus and the auxiliary neural closed loop composed of thalamus-motor cortex-cerebellum-thalamus. The two neural closed loops work together to stimulate and regulate the dual target nuclei in the deep brain region, thereby effectively controlling the orbicularis oculi muscle related motor circuit;

[0007] (3) Closed-loop monitoring unit, which collects electrophysiological signals of the cortex and orbicularis oculi muscle in real time, and dynamically optimizes the parameters of each channel and multi-channel composite acoustic stimulation wave by combining big data and AI feedback algorithms, so as to restore and maintain the balance of excitation-inhibition of motor circuit and surrounding neural network and neurotransmitter pathway.

[0008] (4) AI feedback algorithm module unit, with the support of big data and AI, is used to dynamically optimize the stimulation parameters of each channel based on the electrophysiological response of each major neural node in the neural circuit;

[0009] (5) Brain network imaging navigation interface unit, used for personalized magnetic resonance imaging (MRI) / diffusion tensor imaging (DTI) data processing and reliable localization of dual targets before treatment.

[0010] In an embodiment of the present invention, the multi-channel multimodal audible transducer unit is configured with a headband-type or headphone-type multi-channel audible acoustic transducer, and the multi-channel multimodal modulated acoustic stimulation signal includes one or more combinations of amplitude modulation (AM) signal, frequency modulation (FM) signal, pulse modulation (PM) signal, and binaural beat (BB) signal.

[0011] In an embodiment of the present invention, the closed-loop monitoring unit includes a multi-channel electroencephalogram / magnetoencephalogram for extracting the response characteristics of the orbicularis oculi muscle and cortex, an acquisition module interface, and a real-time analysis module, providing qualitative, quantitative, and optimization guidance for precise and effective stimulation and neural modulation of the main neural circuit and auxiliary neural circuit.

[0012] A control method for a non-invasive brain network neural modulation system, comprising the following steps:

[0013] (1) Data processing of magnetic resonance imaging / diffusion tensor imaging of test subjects and reliable localization of dual targets;

[0014] (2) Determine the acoustic transducer channel layout and initial acoustic stimulus parameters based on the network model;

[0015] (3) Transmit multi-channel multimodal modulated acoustic stimulation signals to stimulate the cochlea to generate multimodal bioelectric pulse signals and stimulate the cochlea to generate multimodal bioelectric pulses.

[0016] (4) Multimodal bioelectric pulses synchronously or asynchronously acquire feedback signals from different stages of EEG / EMG and extract response features of the orbicularis oculi muscle and cortex;

[0017] (5) The acoustic stimulation parameters of each channel are dynamically adjusted and optimized by feedback algorithms supported by big data and AI, and an acoustic stimulation parameter report is generated.

[0018] In an embodiment of the present invention, the stimulation frequency range of the multi-channel multimodal modulated acoustic stimulation signal is 20Hz to 50Hz.

[0019] The beneficial effects of this invention are: by utilizing audible acoustic multimodal stimulation, this invention precisely excites and modulates the electrophysiological response of the cochlea and deep nuclei thalamus-ganglionia-motor cortex circuit, providing a safe, repeatable, and low-cost non-invasive method for modulating deep thalamus and basal ganglia, which can provide more accurate data support and technical guidance for the long-term management of blepharospasm symptoms. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein:

[0021] Figure 1 A schematic diagram of a non-invasive brain network modulation system: including an acoustic signal generator unit, an acoustic stimulation implementation and control unit, a closed-loop monitoring unit, and an image navigation unit;

[0022] Figure 2 Examples of audible acoustic multimodal modulation waveforms: Amplitude modulation (AM) / Frequency modulation (FM) / Pulse modulation (PM) / Binaural beat modulation (BB);

[0023] Figure 3 The closed-loop feedback control flowchart is as follows: signal generation → execution → monitoring → analysis → parameter adjustment cycle;

[0024] Figure 4 This diagram illustrates the auditory pathway and motor nerve pathway: the auditory pathway leads to the thalamus—basal ganglia—motor cortex—cerebellum, with the thalamus–motor cortex–basal ganglia–thalamus forming the core main loop. Detailed Implementation

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Please see Figure 1-4 The present invention includes: providing a non-invasive brain network neuromodulation system and its control method, which precisely excites and modulates the cochlea and deep nuclei thalamus-ganglionia-motor cortex circuit to generate electrophysiological responses by utilizing audible acoustic multimodal stimulation, including:

[0027] (1) A multi-channel multimodal audible transducer unit, used to generate multi-channel multimodal modulated acoustic stimulation signals in the range of 20Hz~20kHz, to stimulate the cochlea to generate multimodal bioelectric pulse signals synchronously, wherein the multi-channel multimodal audible transducer unit is equipped with a headband or headphone type multi-channel audible acoustic transducer, and the multi-channel multimodal modulated acoustic stimulation signals include one or more combinations of amplitude modulation (AM) signals, frequency modulation (FM) signals, pulse modulation (PM) signals, and binaural beat (BB) signals;

[0028] (2) Acoustic stimulation implementation and control unit, used to independently set and adjust the frequency, sound pressure level, modulation mode, rhythm, waveform, stimulation energy, and stimulation time of each channel in real time to implement personalized acoustic stimulation to the cochlea; by precisely controlling the stimulation parameters, parameter combinations, and stimulation mode combinations, under the guidance of assisted image navigation and EEG detection feedback analysis, it can achieve effective bidirectional stimulation and neural regulation of the main neural closed loop composed of thalamus-motor cortex-basal ganglia-thalamus, and the auxiliary neural closed loop composed of thalamus-motor cortex-cerebellum-thalamus. The two neural closed loops work together to stimulate and regulate the dual target nuclei in the deep brain regions. This effectively controls the orbicularis oculi muscle-related motor circuits. The multi-channel, multi-modal acoustic stimulation signals generated by the cochlea can independently match the endogenous oscillations of each nucleus. Under sufficient stimulation energy and duration, this promotes the stimulation and regulation of dual-target nuclei in the deep brain regions, actively modulating the "motor acceleration / braking" function of the basal ganglia-thalamus, balancing the excitation and inhibition of neural pathways—the core of restoring normal motor signals. From a holistic network perspective, it is also necessary to coordinate the motor cortex and cerebellum to fine-tune the timing and intensity of movement, jointly constructing a multi-circuit, multi-level treatment strategy.

[0029] (3) Closed-loop monitoring unit: Real-time acquisition of electrophysiological signals of the cortex and orbicularis oculi muscle. By combining big data and AI feedback algorithms, the parameters of each channel and multi-channel composite acoustic stimulation waves are dynamically optimized to restore and maintain the balance of excitation-inhibition of motor circuits and surrounding neural networks and neurotransmitter pathways. The closed-loop monitoring unit includes multi-channel EEG / MEG, acquisition module interface and real-time analysis module for extracting response characteristics of orbicularis oculi muscle and cortex, providing qualitative and quantitative and optimization guidance for precise and effective stimulation and neural regulation of main neural circuits and auxiliary neural circuits.

[0030] (4) AI feedback algorithm module unit, with the support of big data and AI, is used to dynamically optimize the stimulation parameters of each channel based on the electrophysiological response of each major neural node in the neural circuit;

[0031] (5) Brain network imaging navigation interface unit, used for pretreatment personalized magnetic resonance imaging (MRI) / diffusion tensor imaging (DTI) data processing and reliable localization of dual targets, focusing on the acoustic stimulation neuromodulation system of deep brain nuclei combined with transcranial or transcutaneous repetitive electrical stimulation (rES) device focusing on the cortex, forming a comprehensive stimulation non-invasive neuromodulation of deep brain and cortex, to enhance the bioelectric stimulation and neuromodulation of the main nerve closed loop and the auxiliary nerve closed loop, and further improve the treatment effect of complex and severe primary focal dystonia.

[0032] A control method for a non-invasive brain network neural modulation system, comprising the following steps:

[0033] (1) Brain network imaging navigation interface unit acquires test subjects' magnetic resonance imaging / diffusion tensor imaging data, processes the data, and reliably locates dual targets;

[0034] (2) Based on the network model, determine the acoustic transducer channel layout and initial acoustic stimulation parameters. Specifically, independently set and adjust the frequency, sound pressure level, modulation mode, rhythm, waveform, stimulation energy, and stimulation time of each channel in real time to implement personalized acoustic stimulation of the cochlea. Through precise control of stimulation parameters, parameter combinations, and stimulation mode combinations, under the guidance of assisted image navigation and EEG detection feedback analysis, it is possible to achieve effective bidirectional stimulation and neural regulation of the main neural closed loop composed of thalamus-motor cortex-basal ganglia-thalamus, as well as the auxiliary neural closed loop composed of thalamus-motor cortex-cerebellum-thalamus.

[0035] (3) Transmit multi-channel multimodal modulated acoustic stimulation signals to stimulate the cochlea to generate multimodal bioelectric pulse signals, and stimulate the cochlea to generate multimodal bioelectric pulses. The stimulation frequency range of the multi-channel multimodal modulated acoustic stimulation signals is 20Hz to 50Hz.

[0036] (4) Multimodal bioelectric pulses synchronously or asynchronously acquire feedback signals of different stages of EEG / EMG and extract the response characteristics of the orbicularis oculi muscle and cortex, which are used to dynamically optimize the stimulation parameters of each channel based on the electrophysiological response of each major neural node (especially the thalamus and basal ganglia) of the neural circuit.

[0037] (5) By dynamically adjusting and optimizing the acoustic stimulation parameters of each channel through feedback algorithms supported by big data and AI and generating acoustic stimulation parameter reports, more accurate data support and technical guidance can be provided for the long-term management of blepharospasm symptoms. By utilizing the cumulative regulation of neuroplasticity effects, blepharospasm symptoms can be significantly relieved or eliminated and maintained for a long time.

[0038] Example 1

[0039] Alternating stimulation with 4-channel amplitude-modulated pure tones (1kHz, 80dB, 5Hz pulses) and biaural beats (20Hz) twice daily for 30 minutes each time for 4 consecutive weeks, closed-loop EEG monitoring showed a 60% reduction in the frequency of excessive discharge of the orbicularis oculi muscle and a score of 3 in a Meige participant with a baseline Jankovic score of 8. This reduction remained stable during the 3-month follow-up.

[0040] Example 2:

[0041] Adding a frequency modulation (FM) channel (1kHz carrier, ±200Hz offset, 5Hz modulation), combining amplitude modulation (AM), frequency modulation (FM), pulse modulation (PM), and binaural beat modulation (BB) modes, can significantly reduce the frequency of spasms within 2 weeks after application.

[0042] The present invention discloses a non-invasive brain network neuromodulation system and its control method. The beneficial effects of the control method are as follows: by utilizing audible acoustic multimodal stimulation, the cochlea and deep nuclei thalamus-ganglionia-motor cortex circuits are precisely excited and modulated to generate electrophysiological responses. This safe, repeatable, and low-cost non-invasive deep thalamus and basal ganglia modulation method can provide more accurate data support and technical guidance for the long-term management of blepharospasm symptoms.

[0043] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention specification, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

[0044] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention specification, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A non-invasive brain network neuromodulation system, by utilizing audible acoustic multimodal stimulation, precisely evoking and modulating the cochlea and deep nuclear thalamo-ganglia-motor cortex loop to generate electrophysiological responses, characterized in that, It comprises: (1) Multi-channel multi-modal audible transducer unit for generating multi-channel multi-modal modulated acoustic stimulation signals in the range of 20Hz~20kHz, stimulating cochlea to generate multi-modal bioelectric pulse signals synchronously; (2) Acoustic stimulation implementation and control unit for independently setting and adjusting the frequency, sound pressure level, modulation method, rhythm, waveform, stimulation energy and stimulation time of each channel in real time, and implementing individualized acoustic stimulation on the cochlea; Through precise control of stimulation parameters, parameter combinations and stimulation mode combinations, under the guidance of auxiliary image navigation and electroencephalogram detection feedback analysis, effective bidirectional stimulation and neural regulation of the main neural closed loop composed of thalamus-motor cortex-basal ganglia-thalamus and the auxiliary neural closed loop composed of thalamus-motor cortex-cerebellum-thalamus can be realized, and the two neural closed loops work together to stimulate and regulate the deep brain double target nuclei, thereby effectively controlling the orbicularis oculi muscle related motor circuit; (3) Closed-loop monitoring unit for real-time acquisition of cortical and orbicularis oculi muscle electrophysiological signals, dynamic optimization of each channel and multi-channel complex acoustic stimulation wave parameters through feedback algorithm combined with big data and AI, to restore and maintain the balance of motor circuit and surrounding neural network excitation-inhibition and neurotransmitter pathway; (4) AI feedback algorithm module unit, under the support of big data and AI, for dynamic optimization of each channel stimulation parameters according to the electrophysiological response of each main neural node of the neural loop; (5) Brain network imaging navigation interface unit for pre-treatment personalized magnetic resonance imaging (MRI) / diffusion tensor imaging (DTI) data processing and double target point reliable positioning.

2. The non-invasive brain network neuromodulation system of claim 1, wherein, The multi-channel multi-modal audible transducer unit is configured with a head-mounted multi-channel audible acoustic transducer or an earphone-type multi-channel audible acoustic transducer, and the multi-channel multi-modal modulated acoustic stimulation signal includes one or more combinations of amplitude modulation (AM) signal, frequency modulation (FM) signal, pulse modulation (PM) signal, and binaural beat (BB) signal.

3. The non-invasive brain network neuromodulation system of claim 1, wherein, The closed-loop monitoring unit includes a multi-channel electroencephalogram / magnetogram extraction module interface and a real-time analysis module for extracting orbicularis oculi muscle and cortical response characteristics, providing qualitative and quantitative guidance for precise and effective stimulation and neural regulation of the main neural loop and the auxiliary neural loop.

4. A control method of a non-invasive brain network neuromodulation system, characterized by the steps of It comprises: (1) Collecting and processing MRI / diffusion tensor imaging data of the tester and reliably positioning the double target points; (2) Determining the acoustic transducer channel layout and initial acoustic stimulation parameters according to the network model; (3) Emitting multi-channel multi-modal modulated acoustic stimulation signals to stimulate the cochlea to generate multi-modal bioelectric pulse signals synchronously; (4) Multi-modal bioelectric pulse synchronously or asynchronously collects feedback signals of different stages of EEG / EMG and extracts orbicularis oculi muscle and cortical response characteristics; (5) Dynamic adjustment and optimization of acoustic stimulation parameters of each channel through feedback algorithm with big data and AI, and generation of acoustic stimulation parameter report for long-term management of blepharospasm data.

5. The control method of the non-invasive brain network neuromodulation system according to claim 4, wherein, The stimulation frequency range of the multi-channel multi-modal modulated acoustic stimulation signal is 20Hz~50Hz.

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