29 results about "Prefrontal cortex" patented technology

The invention discloses a transcranial electrical stimulation control method and system for regulating mental fatigue, and belongs to the technical field of mental state regulation. The system comprises an EEG collecting and processing module and an electrical stimulation module which are in wireless communication to form a closed loop. The EEG collecting and processing module collects a forehead lobe three-lead EEG signal, after preprocessing (baseline drift and high-frequency interference are removed through FIR filtering, and eye movement artifacts are removed through combination of wavelet transform and Kalman filtering), the mental fatigue state is classified through an onboard lightweight convolutional neural network (CNN) algorithm, and a control command is generated; the electrical stimulation module receives the command, generates bipolar pulse width modulation transcranial direct current stimulation (tPWMDCs) current, and stimulates the prefrontal lobe. Local low-power-consumption reasoning of EEG signals is achieved, tPWMDCs avoid skin injury, a closed-loop system dynamically adapts to individual differences, portability, safety and accuracy are achieved, and the system is suitable for driving, office and other scenes.

The invention discloses an English classroom attention regulation and control method combined with brain wave detection, and relates to the technical field of English classroom attention regulation and control, and the method comprises the steps: obtaining a multi-channel brain wave signal of a student in English classroom learning through a brain wave collection device, collecting visual gazing track data through an eye tracker, and obtaining a brain wave signal; capturing a face image sequence through a camera; performing frequency band separation on the multi-channel electroencephalogram signal, extracting energy of a theta wave and a beta wave of a prefrontal lobe, and calculating a theta / beta power ratio; performing de-noising and clustering processing on the visual gaze track data, identifying an effective gaze interval, calculating a reciprocal of a gaze point distribution variance in unit time, generating a visual focusing stability parameter, performing action unit identification on a facial image sequence, extracting smile frequency, eyebrow intensity and blink period characteristics, and outputting a cognitive emotion state score; and constructing a multi-modal attention fusion evaluation model based on the theta / beta power ratio, the visual focusing stability parameter and the cognitive emotion state score.

The invention discloses an optimization method for senile cognitive impairment intervention. The optimization method comprises the following steps: S1, a multi-modal evaluation stage: acquiring neurophysiology, behavior and language data of a patient through a multi-source sensing module; s2, personalized prescription generation: calculating a comprehensive cognitive impairment index (CCI), and generating a personalized cognitive training scheme; s3, the intervention module executes the steps that a virtual training scene is generated in the AR environment; and S4, effect verification and iteration: generating a neuroplasticity evaluation report after training, and quantifying the parahippocampal gyrus-prefrontal cortex function connection enhancement degree. Neurophysiology, behaviors and language data of a patient are synchronously collected by adopting a multi-source sensing module, and a personalized cognitive training scheme is generated based on a comprehensive cognitive disorder index. Meanwhile, a virtual scene is constructed to execute an intervention module, and the parahippocampal gyrus-prefrontal lobe function connection enhancement degree is quantitatively analyzed after intervention, so that an evaluation-decision-intervention-verification closed-loop system is constructed, and the intervention effect of the senile cognitive impairment is remarkably improved.

This invention confirms that ventral hippocampal ignition leads to functional reorganization of the ventral hippocampal excitatory circuits. Most notably, this results in increased connectivity with the medial prefrontal cortex, increased activation on fMRI, and increased electrophysiological activation amplitude. Evidence suggests increased anxiety after ignition. This invention provides a method for imaging a single epileptic seizure using simultaneous LFP-fMRI. Imaging the spatiotemporal dynamics of an individual epileptic seizure can characterize the propagation patterns of focal and secondary generalized seizures, thereby providing targeted interventions.

The application relates to a high-definition image explainable classification method and device, computer equipment and a storage medium. The method simulates the process of image perception, feature extraction, inductive reasoning and learning of the human brain. The method is based on the latent space of a pre-trained StyleGAN, a conversion network is designed to simulate the feature extraction of the visual cortex of the brain, effectively converting high-dimensional latent encoding into low-dimensional and decoupled classification features, and the problems of rule explosion and calculation collapse are alleviated; a fuzzy neural network is used to simulate the reasoning function of the parietal lobe and the prefrontal cortex of the brain, and an improved method of the fuzzy neural network structure suitable for the high-definition image explainable classification model is designed, so that the explainable classification of the low-dimensional features is realized; the fuzzy rules used for classification are visually displayed and analyzed, and a feature visualization method is designed based on the pre-trained StyleGAN generator, so that the explainability is further improved.

The application relates to application of Lactobacillus murinus in preparation of a drug for treating obsessive-compulsive disorder. The application provides application of Lactobacillus murinus in preparation of a drug for treating obsessive-compulsive disorder, two different OCD mouse models are used to systematically evaluate the intervention effect of Lactobacillus murinus on obsessive-compulsive behavior, and the potential molecular mechanism is preliminarily explored. The results show that the intervention of Lactobacillus murinus can effectively improve the anxiety and obsessive-compulsive behavior of OCD model mice. Further mechanism research finds that the intervention effect may be related to the increase of the activity of excitatory neurons in the medial prefrontal cortex (mPFC) of Lactobacillus murinus.

This invention belongs to the field of intelligent transportation and autonomous driving technology, and discloses a dynamic decision-making method and system for unprotected left turns of unmanned vehicles based on neuromorphic neural networks. The method constructs a traffic scene graph and introduces a neuromorphic neural network for prefrontal cortex-like collaborative spatial reasoning to generate scene-level semantic representations. Based on this, a structured left-turn action graph is constructed, and feasibility and risk assessments are performed on candidate driving behaviors. An action mask is generated to dynamically compress the decision space. Within the framework of a proximal policy optimization algorithm, a risk budget mechanism is combined to achieve an adaptive balance between safety and efficiency. Simultaneously, a scene graph memory is constructed, and historically successful strategies are reused through similarity retrieval to improve cross-scene generalization ability. This invention effectively solves the problems of excessively large decision space, unstable behavior, difficulty in balancing safety and efficiency, and insufficient generalization ability of existing unmanned vehicles in complex intersection scenarios, significantly improving the stability, safety, and adaptability of decision-making.

The present disclosure relates to the use of compounds of formula (I), compounds of formula (II), and related analogs for enhancing neurogenesis, enhancing neurite outgrowth, enhancing nerve growth, nerve connectivity, synaptic density, dendritic spine density, dendritic spine size, and excitatory neurotransmission in the brain (e.g., in the medial prefrontal cortex), and to methods of enhancing neurogenesis, enhancing neurite outgrowth, enhancing nerve growth, nerve connectivity, synaptic density, dendritic spine density, dendritic spine size, and excitatory neurotransmission in the brain (e.g., in the medial prefrontal cortex). And other methods and uses related thereto.

This application relates to the fields of biomedical engineering, artificial intelligence, and robotics interaction, and provides a method and system for motor intention recognition and decoding based on EEG-BEG fusion. The method includes: acquiring multimodal signals, including at least two of the following: multi-channel EEG signals, prefrontal cortex BEG signals, upper or lower limb electromyography (EMG) signals, and inertial measurement unit (IMU) signals; preprocessing the acquired multimodal signals; the preprocessing includes at least artifact removal, inverse cortical current density decoding, spatial alignment with BEG signals, and quality scoring; obtaining feature vectors corresponding to the preprocessed multimodal signals, and obtaining current motor intention category information, motor intention probability distribution information, and neural state label information corresponding to the feature vectors; and outputting a motor intention command based on the signal quality score information, the current motor intention category information, the motor intention probability distribution information, and the neural state label information corresponding to the multimodal signals.

The invention discloses an application of interaction of cFKBP8-Hsp60 in depression by adjusting mitochondria. Belongs to the technical field of molecular biology and medicine, the interaction between cFKBP8 and Hsp60 is ensured, the key amino acid residue of the interaction between cFKBP8 and Hsp60 is confirmed to be the 13th arginine (cFKBP8 ARG13) of cFKBP8, and the cFKBP8 is overexpressed in SH-SY5Y cells and mouse leading edge cortical neurons by further constructing an expression vector; the results show that the mitochondrial structure and function are damaged, and the mouse shows stress susceptibility, however, the mutation of cFKBP8 ARG13 into alanine alleviates mitochondrial damage and the stress susceptibility of the mouse. Therefore, based on a molecular mechanism of adjusting mitochondria by a cFKBP8-Hsp60 axis, a new thought and a treatment target are provided for the treatment of depression.

The invention provides a training method, system and device for improving the execution ability. The method comprises the steps that forehead lobe electroencephalogram data, task execution response data and eye movement data are collected; according to the prefrontal lobe electroencephalogram data, the task execution response data and the eye movement data, a power feature map, a response feature map and a fixation point thermodynamic map are determined respectively; processing the power feature map, the response feature map and the fixation point thermodynamic map to obtain a corresponding same-time map segment sequence, further processing the same-time map segment sequence to obtain a plurality of single-mode images, and fusing the single-mode images to obtain a multi-mode image; inputting the multi-modal image into an execution capability evaluation model to obtain an attention index, an execution response index and an eye movement fixation index; and according to the attention index, the eye movement fixation index and a preset rule, adjusting a visual stimulation parameter and / or an auditory stimulation parameter of the current task, judging an execution response index, and adjusting a task type and / or a difficulty level of the next task so as to realize real-time double feedback in the tasks and between the tasks.

1. Name of the product in this design: Signal Acquisition Device (Wearable Optoelectronic Dual-Mode Signal Acquisition Device). 2. Purpose of this design: To collect and monitor the wearer's prefrontal cortex electroencephalogram (EEG) signals and functional near-infrared spectral signals. 3. The key design features of this product are the combination of shape and color. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The design for which protection is sought includes color.

The invention provides application of lactobacillus johnsonii YH1136 inactivated thalli in preparation of products for relieving depression, anxiety and sleep disorders, and relates to the technical field of microorganisms. The inactivated thallus is obtained by carrying out heat treatment on live thallus of lactobacillus johnsonii YH1136 with the preservation number of CCTCC NO: M 20221116 at 60 to 68 DEG C for 30 to 90 minutes. Animal experiments show that the inactivated thallus can significantly improve depression-like behaviors, anxiety-like behaviors and sleep disorders of CUMS model mice, and the effect of the inactivated thallus is equivalent to that of viable bacteria and positive drug fluoxetine, and is significantly superior to that of 100 DEG C traditional high-temperature inactivated thallus. The action mechanism is related to inhibition of HPA hyperfunction and up-regulation of hippocampal brain-derived neurotrophic factors and prefrontal cortex 5-hydroxytryptamine levels. The inactivated thallus provided by the invention is high in stability, good in safety and suitable for developing related drugs.

The invention discloses application of dexmedetomidine in preparation of a medicine for treating pressure-induced multi-system related diseases of children and adolescents. Aiming at the physiological characteristic that children and adolescents are highly susceptible to pressure due to immature prefrontal cortex, the invention provides that dexmedetomidine can improve the mitochondrial function by regulating the prefrontal cortex GR mitochondrial translocation of the children and adolescents for the first time; therefore, dexmedetomidine is applied to preparation of the medicine for treating the pressure-induced multi-system related diseases of children and adolescents, and a new target is provided for research and development of medicines for depression or other pressure related diseases of children and adolescents which are highly sensitive to pressure. In addition, dexmedetomidine has good safety, and the pain points that existing drugs are insufficient in safety, neglect in growth and development requirements and poor in treatment effect in multi-system related disease people induced by pressure of children and teenagers are solved.

Devices, systems, and methods for a treating dementia or Alzheimer's disease in a subject in need thereof. In one example, combined auditory and visual stimuli having a frequency of about 20 Hz to about 60 Hz, and more specifically about 40 Hz, are noninvasively delivered to the subject to induce synchronized gamma oscillations in at least one brain region of the subject. In particular, pursuant to various treatment and exposure protocols, combined auditory and visual stimulation (as opposed to auditory or visual stimulation alone) promotes a microglia response in the medial prefrontal cortex (mPFC). More generally, combined auditory and visual stimulation induces an extended microglia clustering response in the auditory cortex, the visual cortex, and the mPFC.

This invention discloses a control method for an intelligent flavor-customized popcorn machine based on multi-brain region signal interaction, solving the problems of existing devices' strong reliance on limb operation and poor scene adaptability. The device includes a popcorn machine main body, a 16-channel EEG acquisition device, and an STM32F103RBT6 main controller, etc., constructing a hierarchical control link through WIFI+I2C+SPI. It employs SSVEP frequency-phase joint modulation coding to achieve flavor / ingredient selection based on thought, decoded by the FB-CCA algorithm, achieving a recognition accuracy of ≥95%. Attention level is calculated using prefrontal cortex EEG signals, dynamically matching heating power. An integrated modular ingredient dispensing box enables automatic and precise ingredient dispensing, coupled with a smart touchscreen for status feedback and interaction, and also supports voice backup control. The device requires no limb operation, adapting to scenarios such as independent living for people with disabilities, attention training for children, and entertainment, achieving a fully closed-loop control of "thought-execution-feedback," with stable communication and convenient operation.

The acer truncatum seed coat extract has the effect of improving anxiety disorder, rat behavior tests find that the acer truncatum seed coat extract can obviously improve the anxiety disorder of rats, and the improvement effect is dose-dependent. By measuring the content of SOD in hippocampal tissue and prefrontal cortex tissue of rats, the acer truncatum seed coat extract is further proved to have the function of improving anxiety from the biochemical level.

The application discloses a dual-system game visual language navigation method and device based on neural cognitive inspiration, which comprises the following steps: acquiring visual feature information and language feature information, extracting visual feature embedding and text feature embedding, and then performing modal alignment and feature fusion to obtain a current state; inputting a state, an action and a global hidden state of a previous moment into a world model based on a gated recurrent unit to generate a current global hidden state; based on the current state and the current global hidden state, based on a multi-brain region collaborative mechanism, generating initial activation tendencies of a goal-oriented system and a habit system by using a prefrontal cortex and a sensory motor cortex, calculating dynamic interest functions of the goal-oriented system and the habit system by using a precingulate gyrus, a thalamus and a premotor cortex, arbitrating and selecting an execution system according to the initial activation tendencies and the dynamic interest functions of the goal-oriented system and the habit system, generating a current execution action by using the execution system, and feeding back and adjusting.

Devices, systems, and methods for a treating dementia or Alzheimer's disease in a subject in need thereof. In one example, combined auditory and visual stimuli having a frequency of about 20 Hz to about 60 Hz, and more specifically about 40 Hz, are non-invasively delivered to the subject to induce synchronized gamma oscillations in at least one brain region of the subject. In particular, pursuant to various treatment and exposure protocols, combined auditory and visual stimulation (as opposed to auditory or visual stimulation alone) promotes a microglia response in the medial prefrontal cortex (mPFC). More generally, combined auditory and visual stimulation induces an extended microglia clustering response in the auditory cortex, the visual cortex, and the mPFC.

The invention provides a transcranial magnetoacoustic stimulation system based on regulation and control of a cortical-basal node neural circuit. The transcranial magnetoacoustic stimulation system comprises a digital signal generator, a radio frequency power amplifier, an ultrasonic transducer, an oscilloscope, a microelectrode array and two permanent magnets, the digital signal generator is connected with the ultrasonic transducer through the radio frequency power amplifier, and the ultrasonic transducer is provided with a collimator and emits ultrasonic waves in a pulse form; the microelectrode array is arranged on the head of a stimulated object and is used for collecting electroencephalogram signals in real time when stimulation is executed; the permanent magnets are fixed to the two sides of the head of a stimulated object, static magnetic fields and focused ultrasonic stimulation are applied to a target brain area at the same time, and neural activities of the deep brain area are regulated and controlled through the magnetoacoustic coupling effect. According to the application, the magnetoacoustic coupling effect is utilized to perform non-invasive regulation and control on neural activity in the deep brain region, so that the neural oscillation synchronism between the prefrontal lobe and the striatum is enhanced, and the motor and cognitive dysfunction related to the Parkinson's disease is improved.

This invention relates to a home-use physiotherapy device for PTSD intervention based on fNIRS neurofeedback and its usage method, belonging to the field of brain-computer interface technology. It includes a light signal acquisition module, a control conversion module, and a feedback physiotherapy module. The light signal acquisition module includes an acquisition cap and a data acquisition unit. The control conversion module includes a concentration conversion unit, a storage unit, and an output control unit connected in sequence. The feedback physiotherapy module includes a display screen. The data acquisition unit and control conversion module are integrated into a housing. The display screen is connected to the housing, the acquisition cap is connected to the data acquisition unit, the data acquisition unit is connected to the concentration conversion unit, and the output control unit is connected to the display screen. Data acquisition and processing analysis are performed based on the absorption degree of near-infrared light intensity in the user's prefrontal cortex to obtain the blood oxygen concentration level in the prefrontal cortex for neurofeedback physiotherapy training. This increases the oxyhemoglobin concentration level in the target area, thereby exerting a certain degree of control over the user's amygdala to improve PTSD symptoms.

A system for treating an attention deficit disorder or for improving attention in a user. The system including a wearable device including a plurality of electrodes configured to be disposed over a region of a prefrontal cortex of a patient when the wearable device is worn by the patient a controller operatively coupled to the plurality of electrodes and configured to cause the plurality of electrodes to deliver a treatment session, the treatment session including delivery of transcranial random noise stimulation (tRNS) to the region of the prefrontal cortex with an current amplitude in a range of about 0.5 milliamps (mA) to about 2 mA for a period of time.

The invention provides a cationic liposome nanoparticle with a multistage trigger system, and a preparation method and application thereof. The method comprises the following steps: preparation of liposome nanoparticles, introduction of cationic lipid, loading of targeting functional peptide, covalent coupling reaction and introduction of functional lipid. The composition and surface charges of the liposome nanoparticles are optimized, the stability of the liposome nanoparticles in blood circulation is improved, and the targeting peptide is combined with a specific receptor on a blood brain barrier, so that the nanoparticles are actively mediated to penetrate through the blood brain barrier and be directionally released to cognitive related brain regions such as hippocampus or prefrontal cortex and the like; and the dyskinesia of memory decline related to the Alzheimer's disease or the Parkinson's disease is improved.

The invention provides an automatic control system of a sewage treatment plant and a multi-mode communication method, which are used for converting multi-mode data of different industrial communication protocols into a standardized format and deploying the data in an edge computing gateway. The space-time synchronization module is used for carrying out multi-modal timestamps through a high-precision clock synchronization protocol and associating a data source position based on a spatial topology label; the data fusion module is used for carrying out reliability weighted fusion on the multi-modal data and dynamically adjusting the credibility score of the multi-modal data; the dynamic resource allocation module is used for switching communication paths through a software defined network according to real-time load requirements and configuring redundant channels for key links; and the abnormal detection and error correction module is used for identifying multi-modal data conflicts based on a rule engine or a machine learning model, triggering a cross-modal verification or manual intervention process and simulating a contradiction perception monitoring function of a forehead cortex layer, and the system scheme has a multi-modal integration capability and a self-adaptive mechanism and can realize technical breakthrough.

The application discloses a dual-system game visual language navigation method and device based on neural cognitive inspiration, which comprises the following steps: acquiring visual feature information and language feature information, extracting visual feature embedding and text feature embedding, and then performing modal alignment and feature fusion to obtain a current state; inputting a state, an action and a global hidden state of a previous moment into a world model based on a gated recurrent unit to generate a current global hidden state; based on the current state and the current global hidden state, based on a multi-brain region collaborative mechanism, generating initial activation tendencies of a goal-oriented system and a habit system by using a prefrontal cortex and a sensory motor cortex, calculating dynamic interest functions of the goal-oriented system and the habit system by using a precingulate gyrus, a thalamus and a premotor cortex, arbitrating and selecting an execution system according to the initial activation tendencies and the dynamic interest functions of the goal-oriented system and the habit system, generating a current execution action by using the execution system, and feeding back and adjusting.

This invention provides the application of metformin in the preparation of a drug for treating learning and memory deficits caused by schizophrenia with normal glucose and lipid metabolism, belonging to the field of pharmaceutical technology. This invention discovers that metformin, under conditions of normal glucose and lipid metabolism, can effectively reduce neuronal apoptosis and neuroinflammatory damage in the prefrontal cortex of the brain in schizophrenia patients, thereby improving their learning and memory deficits. This invention further provides that the molecular target of metformin in repairing prefrontal cortex damage in schizophrenia is CTSS, and that it can downregulate the expression level of CTSS in the prefrontal cortex. The metformin described in this invention represents a repurposing of an existing drug, shortening drug development time and costs, and providing an effective drug treatment for learning and memory deficits caused by schizophrenia with normal glucose and lipid metabolism.

The invention provides an acupuncture real-time blood oxygen monitoring and electroacupuncture parameter feedback regulation and control system and a control method. The acupuncture real-time blood oxygen monitoring and electroacupuncture parameter feedback regulation and control system is composed of an fNIRS detection module, a pre-training model module and an electroacupuncture parameter adjustment module. The fNIRS module collects acupoint and forehead lobe blood oxygen signals in real time, and feature vectors are constructed after preprocessing and normalization. The pre-training model outputs the weight, the gain, the curative effect and the risk index, the electroacupuncture frequency and intensity are calculated through the blood oxygen driving amount and gating correction, and the electroacupuncture apparatus is controlled in a closed-loop mode after smooth processing. The model is solidified and deployed after being trained and verified offline, the gas obtaining state can be judged in real time, electroacupuncture parameters can be adjusted in a self-adaptive mode, and accurate and safe automatic acupuncture treatment is achieved. The system has the advantages that the problems that in traditional acupuncture therapy, blood oxygen changes cannot be monitored in real time, and electroacupuncture parameters cannot be accurately adjusted are solved, accurate judgment of the air obtaining state is achieved, the electroacupuncture parameters are adjusted in a self-adaptive mode, and excessive or insufficient stimulation is avoided; manual intervention is effectively reduced, operation difficulty is lowered, and treatment safety and effectiveness are guaranteed.

The invention discloses a system for treating Alzheimer's disease based on ventral hippocampus-prefrontal lobe loop, the system comprises ventral hippocampus-prefrontal lobe loop activation equipment, the ventral hippocampus-prefrontal lobe loop activation equipment is used for activating neuronal cells in a ventral hippocampus area of a patient to be treated, and the ventral hippocampus-prefrontal lobe loop activation equipment is used for activating the ventral hippocampus area of the patient to be treated. Therefore, neuronal cells in the inner side prefrontal cortex are activated through the abdominal side hippocampus-prefrontal cortex loop, the Alzheimer disease focus in the abdominal side hippocampus region and the inner side prefrontal cortex is improved, and the spatial cognitive ability of a patient is improved.

The invention discloses a medicine for relieving conditional position preference behaviors of morphine-dependent mice and application of the medicine. The medicine comprises polypeptide and siRNA, and the amino acid sequence of the polypeptide is SCSRRLLAAALLPWCCAAW; the siRNA is a double strand, the sequence of a sense strand of the siRNA is UGUCAAAGUCAACAUGGUGdTdT, and the sequence of an antisense strand of the siRNA is CACCAUGUUGACUGdTdT. According to the application disclosed by the invention, by discovering the specific association between the Ppt1 gene in the anterior clasp cortex and morphine dependence and developing a Ppt1-targeted polypeptide (Ppt1-4-22) and siRNA intervention tool, not only is key theoretical inspiration provided for clinical research on an opioid drug-dependent molecular mechanism, but also an accurate theoretical basis and an effective molecular target can be provided for drug research and development.