31 results about "Prefrontal lobe" patented technology

The present invention relates to use of small RNA molecule, is especially use of miRNA-34a, and belongs to the field of biomedicine material technology. By means of Northern process and other process, miRNA-34a is determined to be the age related expression, and by means of the contrast to the prefrontal lobe cortical tissue miRNA' s of rats in different age sections, it is found that the expression of miRNA-34a in the pallium of rhesus and the prefrontal lobe cortex of rat exhibits age dependent change. The present invention establishes a rat neuron AD cell model for the research of possible action mechanism of miRNA-34a. By means of further transfecting miRNA-34a precursor, miRNA-34a antisense RNA and other contrasts, it is found that miRNA-34a possesses neuron apoptosis effect of antagonizing A-beta induction.

The invention discloses a non-invasive monitoring method and a monitoring device for cerebral blood oxygen, and develops a non-invasive monitoring method for blood oxygen saturation of local tissues of a human brain by utilizing different absorbances of oxyhemoglobin and deoxidized hemoglobin to near-infrared light, so that the method does not cause harm to a human body; continuous real-time monitoring of the cerebral blood oxygen value can be achieved through a continuous cerebral blood oxygen value prediction model, the influence of melanin is considered, correction factors are added, surface interference signals and deep useful signals are detected respectively, the content of the collected signals is richer, and the cerebral blood oxygen signals with the high signal-to-noise ratio canbe obtained through processing conveniently; further, the cerebral forehead lobe area local oxyhemoglobin saturation monitoring value without the human head tissue interference signal is solved, so that the cerebral oxyhemoglobin continuous monitoring stability is better, and the monitoring precision is higher. A new solution is provided for non-invasive monitoring of cerebral blood oxygen, and clinical application of non-invasive monitoring of cerebral blood oxygen can be better promoted.

The invention discloses a wavelet fuzzy brain emotional learning control method and device, a terminal device and a storage medium. The method comprises: obtaining an input variable; mapping the inputvariable by a wavelet function to obtain a fuzzy set; simulating a sensory and emotional learning process of a brain according to a pre-established fuzzy rule; updating the fuzzy weight of an amygdala system and the fuzzy weight of a prefrontal lobe system by an adaptive learning rule and a supervised learning method; obtaining the defuzzification operator of the amygdala system according to a linear relationship between the fuzzy weight of the amygdala system and the fuzzy set, and obtaining the defuzzification operator of the prefrontal lobe system according to a linear relationship betweenthe fuzzy weight of the prefrontal lobe system and the fuzzy set; obtaining an defuzzification output result according to the defuzzification operator of the amygdala system and the defuzzification operator of the prefrontal lobe system; and according to the defuzzification output result, obtaining the simulation result of the brain emotional learning control model for the control simulation of actual things.

The invention discloses a wireless multi-brain-region brain blood oxygen wearable detection system and method. The system comprises a collector and a plurality of probes, wherein the plurality of probes communicate with the collector through cables; the probes include prefrontal lobe brain region probes covering the left side and the right side of the brain and any brain region probe or a combination of multiple brain region probes of occipital lobe brain region probes, parietal lobe brain region probes and temporal lobe brain region probes covering the left side and the right side of the brain; the plurality of probes are correspondingly attached to divided functional brain regions; the probes are driven and controlled to emit detection light to the corresponding brain regions; the probessimultaneously receive the emitted detection light of the functional brain regions, and collect brain blood oxygen signals of the brain regions; and the collected brain blood oxygen signals of the brain regions are processed to obtain brain blood oxygen collection information of the brain regions. Through simultaneous detection of the multiple brain regions, the brain regions of partial anteriorcirculation cerebral infarction and posterior circulation cerebral infarction can be covered, and the limitation that only the anterior circulation infarction of the brain can be reflected is overcome.

The invention discloses an electroencephalography head band applied to depressive emotion monitoring. The electroencephalography head band can be applied to analysis on emotional competence, attentionlevel, memory, outdoor activity time, exercise amount and other indexes by monitoring electroencephalogram of the prefrontal lobe, acceleration and photosensitive data and achieves real-time monitoring of depressive emotion. The electroencephalography head band comprises an electroencephalogram acquisition module, an acceleration module, a photosensitive module, a WIFI module, a processor module,an SD card module, an indicating lamp and button module and a power supply module. The electroencephalogram data, acceleration data and photosensitive data acquired by the electroencephalography headband are transmitted to an external upper computer through WIFI. The electroencephalography head band adopts a novel nanomaterial semi-flexible electrode to replace a traditional wet electrode, is put at the forehead part, is convenient and comfortable and has the advantages of being portable, low in power consumption and high in precision.

The invention discloses an autistic child emotion and social function rehabilitation treatment device. The autistic child emotion and social function rehabilitation treatment device comprises electronic plane table equipment for entertainment of a child patient and further comprises a low-frequency bioelectric stimulating mechanism. The low-frequency bioelectric stimulating mechanism comprises a low-frequency bioelectric generator, a first head stimulating adhesive part, a second head stimulating adhesive part and a pair of voice frequency earphones used for playing voices of the electronic plane table equipment. The voice frequency earphones are provided with stimulating shells attached to auricular concha cavity areas of the child patient. The stimulating shells of the voice frequency earphones are provided with ear biological low-frequency bioelectric stimulating electrodes used for stimulating the auricular concha cavity areas. The first head stimulating adhesive part is provided with a forehead scalp bioelectric stimulating electrode used for stimulating a prefrontal lobe body surface area. The second head stimulating adhesive part is provided with a tempus bioelectric stimulating electrode used for stimulating a temporal lobe body surface area.

The invention discloses a neutral signal feedback method and system for reducing smoking desire based on functional magnetic resonance. The neutral signal feedback method includes the steps that neural activity signals of the two insulae and the prefrontal lobe of a smoker are acquired in real time; the acquired neutral activity signals are analyzed in real time to recognize smoking desire signals and self-control signals and the intensity of the signals; the self-control signals, the smoking desire signals and the intensity of the signals are configured into training feedback of the dynamic confront process of two confront parties in a visualized confront game. By means of neutral signal feedback, a person desiring smoking is helped to perceive and control relevant brain regions, and then the purposes of enhancing the self-control capacity of the smoker, reducing the desire and assisting in smoking cessation are achieved.

The invention provides a limb movement training scheme automatic recommendation method and system. The method comprises the following steps: carrying out Brunnstrom scale, Holden walking ability grading, Berg balance scale and improved Ashworth scale evaluation on the patient, and recording the grade of evaluation results of each scale; collecting cerebral cortex oxyhemoglobin concentration change data of the left / right forehead lobe, the left / right movement area and the left / right occipital lobe of the patient in a resting state, and calculating a functional connection index between every two brain areas; according to the evaluation result of the scale and the function connection index of the brain interval, utilizing a pre-established neural network model to automatically recommend the exercise training scheme; and pushing the recommended exercise training scheme to a doctor for auditing, and using the evaluation result of the scale, the functional connection index between brain regions and the training scheme confirmed / modified by the doctor for updating the pre-established neural network model.

The invention discloses a device and method for increasing expression of neurotrophic factors by using cranium ultrasonic stimulation. The device comprises a first signal generator, a second signal generator, a power amplifier and an ultrasonic transducer, wherein the first signal generator is used for generating preset signals of square waveform parameters, the second signal generator is used for generating preset pulse signals of sine waveform parameters under triggering of square waves output by the first signal generator, the power amplifier is used for conducting power amplification on the pulse signals generated by the second signal generator and stimulating the ultrasonic transducer to generate ultrasonic stimulation waves, and the ultrasonic transducer is used for receiving signals output by the power amplifier, transforming the generated ultrasonic stimulation waves and achieving ultrasonic stimulation for the brain area. The device and method for increasing the expression of neurotrophic factors by using the cranium ultrasonic stimulation increase the BDNF expression level of the hippocampus by stimulating prefrontal lobes, and provide approaches for treatment of multiple neurodegeneration diseases.

The invention discloses lactobacillus rhamnosus CCFM1228 with functions of relieving depressive mood and promoting intestinal tract to secrete IgA and application of the lactobacillus rhamnosus CCFM1228, and belongs to the technical field of microorganisms. The lactobacillus rhamnosus can relieve depression-like behaviors of depressive mice, increase the content of neurotransmitter 5-hydroxytryptamine in the brain and increase the BDNF level in hippocampus of the depressive mice, and the lactobacillus rhamnosus CCFM1228 has the functions of relieving depressive mood and promoting intestinal tract to secrete IgA. The expression of hypothalamus Crh mRNA is inhibited, the level of corticosterone in serum is reduced, the activity of xanthine oxidase in cerebral cortex is reduced, the activity of adenosine deaminase in liver is improved, and the content of uric acid in serum is reduced; the prefrontal lobe Mbp mRNA level is improved, and the stability of the CNS myelin sheath structure and function is maintained; the mRNA level of the prefrontal lobe Gfap is improved, and the function of astrocytes is enhanced; the mRNA level of hippocampus CD36 is reduced, and immune homeostasis is regulated; the level of IgA in host feces can be improved on the basis of relieving the depression mood, and wide application prospects are achieved.

The invention belongs to the areas of the medical evaluation and detecting technique, particular relates to the modeling method for fitlering the medication to treat the disease of motion too much and for evaluating the method of monkey animal model for treating the said diseases. Idiosyncratic antagon (yohimbine) in minute quantities of a2 acceptor are injected to the local area of the monkey prefrontal lobe, in order to block out the function of the a2 acceptor. Inducing the disease by experimental media directly builds the animal model of the said disease. The model can be used to filter the medication and evaluate the method for treating the disease.

The invention discloses a brain-like algorithm for sleep staging by applying prefrontal lobe single-channel electroencephalogram signals, and the construction of the algorithm comprises the following steps: collecting Fp1-Fp2 electroencephalogram data, removing artifacts from the collected signals, filtering, carrying out segmentation processing and data labeling, extracting data features after segmentation processing, building an HDC model, carrying out model storage, and carrying out sleep staging, wherein the filtering operation on the collected signals comprises high-low pass filtering and 50Hz power frequency notch filtering on the electroencephalogram signals with artifacts removed. The algorithm has the advantages that the brain-like algorithm, namely the HDC algorithm, is used, the classification effect of a medium neural network can be achieved only through training of a small amount of data, even the model effect of classification can be achieved through one-time learning, and more importantly, the HDC algorithm is quite light and suitable for being applied to local hardware such as wearable equipment, direct learning and prediction can be realized; and a lot of resources can be saved in the aspects of data transmission and model storage.

The invention provides an anesthesia depth monitoring system and method based on near infrared spectroscopy. The anesthesia depth monitoring system comprises a cerebral blood oxygen signal acquisitionmodule A, a sample entropy calculating module B, a target signal identification module C and an optimal threshold determining module D; first, various Hb and HbO2 signals of the prefrontal lobe of apatient are collected through near infrared light with the wavelength being 735 nm and near infrared light with the wavelength being 850 nm correspondingly, and band-passing filtering of 0.01-0.04 Hzis conducted; then data processing is conducted by a sample entropy algorithm, and the sample entropy values of the patient at different stages are calculated; by drawing an ROC curve, signals with the highest distinguishing capacity to an anesthesia state and a waking state are selected by an ACU value; at last, the optimal threshold value capable of distinguishing the anesthesia stage and the waking stage is found through a youden index, and the anesthesia depth is monitored by the threshold value. The anesthesia depth monitoring system and method have the advantages that the data length required by calculating is small, the operation efficiency is high, the signals needing to be monitored can be screened out more quickly, safety and convenience are achieved, and the prince is low.

The invention discloses a visual continuous attention testing device. The device comprises a mathematical operation task testing unit, a continuous attention reaction testing unit, an electroencephalogram signal collecting unit and an analysis unit, wherein the electroencephalogram signal collecting unit is used for collecting electroencephalogram data of a tester in the visual continuous attention testing period, the analysis unit is used for acquiring brain activation quantities of a forehead lobe and a sensory motor cortex according to the electroencephalogram data, and the brain activationquantities are used for representing visual continuous attention of the tester. According to the device, a test result of visual continuous attention can be more objective.

The invention discloses antidepressant activity of D-mannose. The D-mannose can be used for preparing antidepressants and health products. Through animal moulding experiments, animal behavior experiments and in-vitro experiment research, it is proved for the first time that the D-mannose can relieve depression-related behaviors, can combat anxiety and can significantly reduce the level of neurotransmitters in the hippocampus, hypothalamus and prefrontal lobe in the brain of mice. Based on the good antidepressant activity of the D-mannose, the corresponding application of the D-mannose to the preparation of the antidepressants and the health products is correspondingly protected, and a pharmaceutical composition with an antidepressant effect, an antidepressant and an antidepressant health product are provided.

The invention discloses lactobacillus paracasei CCFM1229 for relieving depressive mood and application of the lactobacillus paracasei CCFM1229, and belongs to the technical field of microorganisms. The lactobacillus paracasei can relieve depression-like behaviors of depression mice, increase the content of neurotransmitter 5-hydroxytryptamine in the brain, increase the level of BDNF in hippocampus of the depression mice, inhibit expression of Crh mRNA of hypothalamus and reduce the level of corticosterone in serum; the lactobacillus paracasei can reduce the activity of cerebral cortex xanthine oxidase, improve the activity of liver adenosine deaminase and reduce the content of serum uric acid; the prefrontal lobe Mbp mRNA level is improved, and the stability of the CNS myelin sheath structure and function is maintained; the mRNA levels of prefrontal lobes Grin1, Grin2a and Grin2b can be improved, and the method has very important significance on synaptic plasticity; the lactobacillus paracasei can improve the diversity of intestinal flora and degrade omethoate, and has a wide application prospect.

The invention discloses a method and a monitoring device for non-invasive monitoring of cerebral blood oxygen. The invention utilizes the difference in absorption of near-infrared light between oxygenated hemoglobin and deoxygenated hemoglobin to develop a method for monitoring blood oxygen saturation in local tissues of the human brain. Non-invasive monitoring method, this method will not cause harm to the human body, and the continuous real-time monitoring of cerebral blood oxygen value can be realized through the continuous cerebral blood oxygen value prediction model, considering the influence of melanin and adding a correction factor, respectively detecting surface interference signals With the deep useful signal, the collected signal content is more abundant, and it is convenient to process the cerebral blood oxygen signal with high signal-to-noise ratio, and then obtain the local blood oxygen saturation monitoring value in the prefrontal region of the brain that removes the interference signal of the human head tissue, so that Cerebral blood oxygen continuous monitoring has better stability and higher monitoring accuracy. The invention provides a new solution for non-invasive monitoring of cerebral blood oxygen, and is more conducive to promoting the clinical application of non-invasive monitoring of cerebral blood oxygen.

The invention belongs to the cognitive technical field of brain science, and specifically relates to a near-infrared spectrum detection method for ambient light modulation of brain cognitive function. The method of the present invention uses functional near-infrared spectroscopy technology, combined with the classic paradigm Stroop of cognitive behavioral psychology, to explore the impact of environmental light changes on the cognitive function of the human brain, aiming at the frontal lobe region of the brain that has a strong correlation with the cognitive function of the human brain. Including designing the experimental environment, designing the psychological Stroop experimental stimulus rules, designing the experimental process, building the experimental system, and configuring the detection channel; using the Stroop psychological test method combined with functional near-infrared spectroscopy for testing; finally, fNIRS data processing; Images of brain activation regions under different lighting conditions, and through the t test, the brain region channels with significant differences (P<0.05) under different lighting conditions were obtained, which proved that the channels were activated due to changes in ambient light.

The invention discloses a brain function connection detection method and a brain function connection detection system based on the near infrared spectrum. The method comprises the steps that the near infrared spectrum is utilized to collect the blood oxygen parameter of a time sequence function, the function is then imported into wavelet coherence and wavelet phase position coherence analysis software for time-frequency domain conversion, meanwhile, the brain oxygen parameter wavelet phase coherence coefficient and wavelet phase position coherence parameter under different feature frequencies are calculated, and then the two coefficients are input to a brain function connection detection model established on the basis of a partial least square method, and then the detection result of the brain function connection feature of a tester is provided. With the brain function connection detection method and the brain function connection detection system based on near infrared spectrum, the brain blood oxygen signals of left and right prefrontal lobes are monitored at the same time, and the method is simple and convenient; in monitoring, a photoelectric sensor only needs to be placed at the positions of the left and right prefrontal lobes of the tester, so that the brain oxygen parameter of the tester can be obtained in real time through the near infrared spectrum method, and the anti-interference performance is strong; the sensitivity and reliability of the monitoring index are high.

The invention discloses a wavelet fuzzy brain emotion learning control method, device, terminal equipment and storage medium. The method includes: acquiring input variables; mapping the input variables through wavelet functions to obtain fuzzy sets. According to the pre-established fuzzy rules, the learning process of the brain's feelings and emotions is simulated, and the fuzzy weights of the amygdala system and the prefrontal cortex system are updated through adaptive learning rules and supervised learning methods. The defuzzification operator of the amygdala system is obtained according to the fuzzy weight of the amygdala system and the linear relationship of the fuzzy set, and the defuzzification operator of the prefrontal system of the brain is obtained according to the fuzzy weight of the prefrontal system and the linear relationship of the fuzzy set. According to the defuzzification operator of the amygdala system and the defuzzification operator of the prefrontal system of the brain, the defuzzification output result is obtained, and according to the defuzzification output result, the simulation result of the brain emotional learning control model is obtained and used for real things control simulation.

The invention discloses a cerebral cortex state detection system for disturbance of consciousness, which comprises a brain response signal synchronous acquisition module, a response signal noise processing module and a cerebral cortex state detection algorithm module. The response signal synchronous acquisition module includes transcranial magnetic stimulation and magnetically compatible EEG equipment; the EEG cap adopts a 64-channel high-density EEG cap; the transcranial magnetic stimulation coil adopts an 8-shaped coil. The magnetic field was placed in the left dorsolateral prefrontal cortex (the F3 electrode position in the 10‑20 EEG system) perpendicular to the direction of the scalp. The invention fills up the blank of the state detection system and method of the cerebral cortex of the disturbance of consciousness. Compared with the current clinical research method, the present invention has the advantages of economy, convenience, simple calculation, strong applicability, suitable for clinical promotion and the like.

The invention discloses a neural feedback method for improving obesity based on real-time functional magnetic resonance, and the method comprises the steps: collecting diet scale data of an obese patient, providing a plurality of food pictures based on the diet scale data, carrying out the classification of the obese patient, and obtaining a favorite food model; acquiring dorsolateral prefrontal lobe activity data of the obese patient through the obese patient based on the favorite food model and a magnetic resonance instrument, and constructing a dorsolateral prefrontal lobe activity model; and training the obese patient based on the dorsolateral prefrontal lobe activity model to improve the dietary habit of the obese patient so as to achieve the purpose of improving obesity, and the invention provides a new standardized clinical treatment obesity mode based on the brain-computer interaction technology, which is non-drug, non-invasive, non-addictive and can be popularized.

The invention provides an anesthesia depth monitoring system and method based on near infrared spectroscopy. The anesthesia depth monitoring system comprises a cerebral blood oxygen signal acquisitionmodule A, a sample entropy calculating module B, a target signal identification module C and an optimal threshold determining module D; first, various Hb and HbO2 signals of the prefrontal lobe of apatient are collected through near infrared light with the wavelength being 735 nm and near infrared light with the wavelength being 850 nm correspondingly, and band-passing filtering of 0.01-0.04 Hzis conducted; then data processing is conducted by a sample entropy algorithm, and the sample entropy values of the patient at different stages are calculated; by drawing an ROC curve, signals with the highest distinguishing capacity to an anesthesia state and a waking state are selected by an ACU value; at last, the optimal threshold value capable of distinguishing the anesthesia stage and the waking stage is found through a youden index, and the anesthesia depth is monitored by the threshold value. The anesthesia depth monitoring system and method have the advantages that the data length required by calculating is small, the operation efficiency is high, the signals needing to be monitored can be screened out more quickly, safety and convenience are achieved, and the prince is low.

The invention discloses a real-time brain fatigue monitoring device based on deep learning and a data processing method, a portable forehead wearable device which has high integration and surrounds the head through an elastic soft belt is adopted, blood oxygen signals of the forehead lobe of the brain are collected in real time, and a current brain function activity topographic map is displayed in real time. Preprocessing the data, including removing motion artifacts, moving average and Butterworth band-pass filtering processing and a corrected Lambert-Beer law, and obtaining oxygenation blood red concentration variable quantity data and deoxidized hemoglobin concentration variable quantity data through data preprocessing; data analysis and data classification are carried out on the collected blood oxygen signals of the brain prefrontal lobe by using a CNN algorithm based on deep learning on the preprocessed data, a four-classification brain fatigue recognition task is carried out on the preprocessed data, classification labels are light fatigue, heavy fatigue, relaxation and concentration respectively, and finally the brain fatigue state of the tested object is obtained.

The invention relates to a cognitive function evaluation method based on Stroop color word testing and near-infrared brain function imaging. The cognitive function evaluation method is technically characterized by comprising the following steps: acquiring light intensity data of brain tissues of prefrontal lobes on two sides and a Stroop color word testing result of a subject in the Stroop color word testing process through a functional near-infrared imaging system; converting the light intensity data of the subject into brain physiological information data, and calculating the intensity of a double-forehead area; according to the method, the subjects which have cognitive function decline or poor cognitive states and cannot be well matched to complete traditional neuropsychological scale evaluation are tested; and comparing the Stroop color word test results of the subject and the normal person and whether the intensity of the double-forehead region is obviously different, and analyzing the correlation between the Stroop color word test results and the intensity of the double-forehead region and the MoCA score. According to the method, the Stroop color word test and near-infrared brain function imaging technology are adopted, the cognitive function is evaluated through brain function connectivity, the test result is accurate and reliable, the test process is simple, and a subject can easily complete the test.

The invention discloses a brain blood oxygen non-invasive monitoring device which comprises a brain blood oxygen information acquisition probe, a non-invasive acquisition subsystem and a monitoring processing subsystem, and an area, corresponding to a brain prefrontal lobe, of the head of a human body serves as a brain blood oxygen non-invasive monitoring area. Red light absorption conditions of a brain blood oxygen noninvasive monitoring area are collected to serve as characterization values of human head tissue interference signals, and infrared light absorption conditions of two different wavelengths of the brain blood oxygen noninvasive monitoring area are collected to serve as characterization values of brain oxyhemoglobin concentration and brain reduced hemoglobin concentration respectively. Furthermore, a brain oxyhemoglobin concentration value and a brain reduced hemoglobin concentration value which do not contain human head tissue interference signals are obtained through processing, and continuous real-time monitoring on the brain blood oxygen value can be stably and accurately realized. A new solution is provided for brain blood oxygen non-invasive monitoring, stability and accuracy of brain blood oxygen non-invasive monitoring are improved, and clinical application of brain blood oxygen non-invasive monitoring is promoted.

The invention discloses a neutral signal feedback method and system for reducing smoking desire based on functional magnetic resonance. The neutral signal feedback method includes the steps that neural activity signals of the two insulae and the prefrontal lobe of a smoker are acquired in real time; the acquired neutral activity signals are analyzed in real time to recognize smoking desire signals and self-control signals and the intensity of the signals; the self-control signals, the smoking desire signals and the intensity of the signals are configured into training feedback of the dynamic confront process of two confront parties in a visualized confront game. By means of neutral signal feedback, a person desiring smoking is helped to perceive and control relevant brain regions, and then the purposes of enhancing the self-control capacity of the smoker, reducing the desire and assisting in smoking cessation are achieved.

The invention discloses a method for researching proteome change of a rat suffering from depression or anxiety based on proteomics. The method comprises the following steps: 1, carrying out rat brainforehead cortex separation and protein extraction; 2, carrying out FASP method enzymolysis, polypeptide iTRAQ labeling, SCX grading and LC-MS / MS mass spectrometry analysis on the protein sample obtained in the step 1; 3, performing library search and bioinformatics analysis on the mass spectrum data obtained in the step 2; and 4, carrying out PRM technical verification on the differential proteinobtained in the step 3. According to the invention, 1, the preclinical model constructed by using the CMS can help to expose potential molecular characteristics of depression and anxiety disorder; 2,depression and anxiety cause reduction of prefrontal cortex cerebral volume and dendritic spine of human beings or animals; and 3, an iTRAQ quantitative proteomics method is adopted to carry out difference analysis on the expression levels of the forehead leaf proteins of the four groups of depression / anxiety rat models, so that the reliability, objectivity and accuracy of a quantitative proteomics result are improved.

The invention relates to a headband type brain electrical stimulator, comprising a control module, a fixing module and an electrode module, the control module controls the electrode module, the fixing module is connected with the electrode module, and connects the electrodes The module fits tightly on the forehead to be tested. At the same time, the invention also relates to an electric stimulation method of a headband type brain electric stimulator. The headband-type brain electrical stimulator of the present invention performs electrical stimulation on the forehead, can directly activate the neural activity of the frontal lobe, realizes the enhancement of cognitive function, and the purpose of treating neurodegenerative diseases and mental diseases.