68 results about "Thalamus" patented technology

The invention discloses a brain-like pulse enhanced evolution unmanned obstacle avoidance method and a related device, and the method comprises the steps: generating an obstacle avoidance action at a current moment according to a state sequence of an unmanned vehicle at the current moment and a cortex-basal ganglion-thalamus network; and optimizing the cortex-basal ganglion-thalamus network at the next moment based on the obstacle avoidance action at the current moment, in the optimization process of the cortex-basal ganglion-thalamus network, according to the award difference value at the adjacent moments, accumulating the vigilance value of the cortex-basal ganglion-thalamus network to the environment, and when the accumulated vigilance value does not exceed a second threshold value, determining that the awarded value does not exceed the second threshold value. And when the accumulated vigilance value exceeds a first threshold value, optimizing the cortex-basal ganglion-thalamus network based on a peak time sequence dependency plasticity mechanism and a dopamine regulation mechanism in sequence, and when the accumulated vigilance value exceeds a second threshold value, optimizing the cortex-basal ganglion-thalamus network based on an offline evolution method of a genetic algorithm, the obstacle avoidance method which can quickly adapt to different complex environments and is accurate in decision making is realized.

The invention relates to the technical field of nerve regulation and control, and provides a closed-loop ultrasonic brain-computer interface regulation and control method for improving post-stroke dysfunction, which comprises the following steps: S1, constructing integrated closed-loop ultrasonic brain-computer interface equipment which comprises a behavior control unit, a signal generator unit, a power amplifier unit and an electrophysiological signal monitoring unit; s2, constructing a mouse model, and embedding an electrode provided for the electrophysiological signal monitoring unit for monitoring; s3, dividing the mouse model into a random stimulation group and a brain-computer interface treatment group, and simultaneously performing closed-loop ultrasonic stimulation for preset time; s4, after closed-loop ultrasonic stimulation for a preset time, performing various behavioral test evaluations including representation of a sensory movement function and representation of an emotional emotion function; and S5, carrying out neural circuit remodeling evaluation, and observing the projection change of the high-order thalamus PO nuclei region of the mouse to the primary cortex. In the aspects of targeting, closed-loop control and integrated design, the method is expected to become a novel and effective post-stroke dysfunction treatment method.

Compositions comprising microalgal extracellular vesicles (MEVs) formulated for intranasal delivery are provided, whereby upon intranasal administration, the MEVs are transported by a specific route, to specific regions in the brain via the olfactory nerve after intranasal administration, and to interconnected brain regions through the lateral olfactory tract (LOT). The MEVs are transported via neuronal axonal transport. The MEVs have the ability to cross synapses including: (i) synapses between olfactory sensory neurons (OSNs) and mitral / tufted neurons; (ii) synapses between mitral / tufted neurons and local neurons in multiple brain regions colonized by the lateral olfactory tract (LOT); and (iii) synapses between neurons in brain regions colonized by the LOT and neurons from the frontal cortex, hippocampus, thalamus, and hypothalamus. The compositions contain extracellular vesicles (MEVs) from microalgae loaded with bioactive cargo for the treatment, detection, diagnosis, or monitoring of diseases, disorders, or conditions of or involving the brain, particularly neuronal delivery of the cargo. The compositions and methods have multiple applications as therapeutic and diagnostic agents for the treatment, diagnosis, and monitoring of diseases, disorders, or conditions of or involving the brain. The compositions can be used in methods and uses for the treatment of cancers involving the brain, and can be used, for example, to deliver therapeutic agents for psychiatric diseases, disorders, conditions, and to deliver therapeutic agents for neurodegenerative diseases, disorders, and conditions.

The invention relates to a heterogeneous multi-core distributed brain-like bionic architecture based on neural mimicry and a working method thereof. The heterogeneous multi-core distributed brain-like bionic architecture comprises a neural mimicry processor, a multi-node matrix processor, a memristive neural mimicry unit, a neural plastic unit, a neural mimicry routing system, a pulsation coupling unit and a whole-brain space simulation processing unit. The method is inspired by a working mechanism of each brain component and a neuron plasticity mechanism in a brain thinking process, and knowledge such as functional analysis and a graph group theory in mathematics are combined with related theories such as graph reinforcement learning and group decision in artificial intelligence; a bionic chip is constructed by using a hardware technology, and biological components such as thalamus and basal nerve knots are comprehensively simulated; the problems that an artificial intelligence algorithm in the market is low in speed, complex and low in efficiency; the architecture and the method are mainly applied to multi-AI scenes such as image scene analysis, voice recognition, sentiment analysis, intelligent driving, root analysis, risk prediction, decision analysis and safety confrontation.

The present invention relates to a method for making a non-human primate model of cerebral infarction comprising a step of administering endothelin to the brain basal nucleus-thalamic region of a non-human primate, thereby inducing brain basal nucleus disorders, thalamic disorders and endocystic disorders, and a method for treating subacute stages-containing NeuroD1 protein or a polynucleotide encoding a NeuroD1 protein The pharmaceutical composition can be used for treating chronic cerebral infarction, transbronchial infarction or cerebral infarction with brain disorder in a transbronchial dominating region.

The application provides an Alzheimer's disease time-delay feedback adaptive intervention regulation method and system, which comprises the following steps: establishing a thalamocortical system model for simulating electroencephalogram signals in an Alzheimer's disease state; adding adaptive stimulation according to dynamic changes of the nervous system itself in a closed-loop control strategy of the thalamocortical system model; and simulating electroencephalogram signals generated by the thalamocortical system model when adaptive stimulation parameters change by changing the adaptive stimulation parameters. The method further comprises displaying oscillation behavior of the simulated electroencephalogram signals in a preset frequency band by using a frequency spectrum. Based on the method, an Alzheimer's disease time-delay feedback adaptive intervention regulation method is further provided. The closed-loop control system designed by the application is more accurate, and is particularly helpful for assisting in solving the problem of early intervention of Alzheimer's disease, intuitively displays the progress and intervention, and optimally analyzes the visualization, so that the application can be more widely used for health management.

Described herein are T-type voltage-gated calcium channel enhancers capable of enhancing thalamic function, e.g., reducing thalamic cortex hyperactivity in a patient in need thereof. These enhancers may be useful for many diseases or conditions associated therewith, such as schizophrenia and neurodevelopmental disorders. The CaV enhancers typically have a structure of formula (I) or formula (V). # imgabs0 #

This invention discloses a method and system for pilot safety risk analysis based on neural computation. The method includes: identifying safety risk factors; establishing a mapping relationship between safety risk factors and unsafe pilot behaviors; establishing a structural model of the cortico-basal ganglia-thalamus neural circuit; establishing AMPA and GABA neural synapse computational models based on the theories of double exponential synapses and α-β synapses, respectively; establishing a computational model of the cortico-basal ganglia-thalamus neural circuit; calculating the thalamic discharge rate under the influence of different safety risk factors, and simulating the regulatory mechanisms of dopamine and acetylcholine during the formation of safety risks. This invention conducts safety analysis from the perspective of pilot neurodynamics, providing key physiological basis and theoretical support for improving risk analysis models and optimizing system design by analyzing the neural regulatory mechanisms of acetylcholine and dopamine during the formation of safety risks.

The invention relates to a brain region positioning magnetic resonance data processing method based on nerve stimulation target optimization, and the method comprises the steps: obtaining the functional magnetic resonance imaging data of a subject, extracting the signal response sequence of each brain region before and after nerve stimulation through time domain analysis, and determining the brain region with a characteristic response time window according to the response delay difference; the method comprises the following steps: detecting delayed oscillation characteristics in a cortex signal based on a neural feedback relationship between a cortex region and a deep structure to determine potential regulatory pathways of thalamus and other deep brain regions so as to position indirect stimulation targets which cannot be directly imaged; decoupling analysis of cerebral blood flow signals and nerve activation signals is carried out on the candidate brain area, and when it is detected that blood flow fluctuation exists in the area but synchronous nerve activation is lacked, it is judged that the area is a pseudo activation area and excluded; according to the method, the time delay correlation degree between the stimulation sequence and the brain region signal is calculated through the improved cross-correlation integral function, and the high-frequency noise interference is suppressed in combination with the nonlinear attenuation item, so that the estimation of the brain region response delay is more stable and repeatable.

The invention belongs to the field of biomedical engineering, and discloses a function positioning system for connection of a medial thalamic pillow and an emotional cortex, which comprises the following steps of: performing near-infrared nerve stimulation on the medial thalamic pillow, and collecting an MRI (Magnetic Resonance Imaging) structure image and an MRI function image during stimulation; according to the MRI structure image, projecting a buckling back, a brain island, an amygdaloid nucleus and a subregion thereof, and a brain region adjacent to the buckling back, and respectively segmenting the buckling back, the brain island and the amygdaloid nucleus; different body emotion expression function partitions are positioned at the buckle back; positioning the internal sensory function subareas according to the subareas of the brain island; according to different subregions of the amygdala kernel, positioning the emotion function regions of the amygdala kernel; according to the MRI functional image, the activated voxel is evaluated, and according to the positions of the activated voxel in different emotional loop brain areas, the function positioning of the connection of the inner thalamic pillow and the emotional cortex is realized. According to the system, the specific topological connectivity of the inner thalamic pillow and the brain emotional cortex is realized.

Methods and systems for programming stimulation parameters for assisting deep brain stimulation (DBS) in experimental patients are described. A cumulative database includes data from multiple historical adaptation / programming sessions. The data may include various sets of stimulation parameters tried for patients in the database; data relating to the position of electrode leads relative to the anatomical features of the patient's brain, such as alignment with the subthalamic nucleus (STN); scores indicating the therapeutic effectiveness of the stimulation parameters; and data relating to stimulation field models (SFM) of the various sets of stimulation parameters. This database can be used to predict stimulation parameter sets that may be therapeutically effective for experimental patients.

A method for treating a patient suffering from a neuronal hypo-kinetic disease or a neuronal hyper-kinetic disease by modulating neuronal activity in the: internal globus pallidus (GPi), in the anterior motor thalamus and / or in the external globus pallidum (GPe) and / or in the subthalamic nucleus (STN) by utilizing suppressor and / or enhancer DREADDs is provided.

The invention discloses an emotion memory generation system based on a memristor, and belongs to the field of integrated circuit design. The system comprises a brain emotion learning model and a hippocampus model. The brain emotion learning model comprises a thalamus module, a sensory cortex module, an orbital frontal cortex module and an amygdala kernel module; the hippocampus model comprises a DG module, a CA3 module and a CA1 module; under the stimulation of the emotional signals, the thalamus module firstly preprocesses the emotional signals, then the sensory cortex module and the orbital frontal lobe module integrate and process the preprocessed emotional signals, and the processed signals are respectively transmitted to the CA3 module and the amygdala kernel module to generate output signals representing emotions; under the stimulation of a learning signal, the DG module firstly preprocesses the learning signal, then the CA3 region is responsible for receiving the learning signal and generating an output signal representing short-term memory, and the output signal is transmitted to the CA1 region; and after receiving the short-term memory signal, the CA1 area converts short-term memory into long-term memory and stores the long-term memory.

The invention discloses a pilot safety risk analysis method and system based on neural computing. The method comprises the following steps: identifying safety risk factors; establishing a mapping relation between the safety risk factors and the unsafe behaviors of the pilot; establishing a structure model of a cortex-basal nucleus-thalamus nerve circuit; the method comprises the following steps: respectively establishing AMPA and GABA nerve synapse calculation models based on a double-exponential synapse theory and an alpha-beta synapse theory; establishing a calculation model of a cortex-basal nucleus-hill nerve circuit; calculating thalamus discharge rates under the influence of different safety risk factors, and simulating a regulation mechanism of dopamine and acetylcholine in a safety risk formation process. According to the method, safety analysis is carried out from the perspective of pilot neurodynamics, and key physiological basis and theoretical support are provided for improving a risk analysis model and optimizing system design by analyzing a neural regulation mechanism of acetylcholine and dopamine in a safety risk forming process.

Methods and systems are described for stimulation parameter programming to assist in deep brain stimulation (DBS) of a subject patient. The cumulative database includes data from a plurality of historical adaptation / programming sessions. The data may include various sets of stimulation parameters attempted for the patient in a database; data relating to the position of the electrode lead relative to an anatomical feature of the patient's brain, e.g., alignment with respect to its subthalamic nucleus (STN); a score of the stimulation parameter indicative of therapeutic effectiveness of the stimulation parameter and / or causing a side effect in the patient; and data relating to a stimulation field model (SFM) of the various sets of stimulation parameters. The database may be used to predict sets of stimulation parameters that may be effective or cause side effects to the treatment of the subject patient.

Provided herein are targeting peptides and vectors containing a sequence that encodes the targeting peptides that deliver agents to specific substructures in the brain. Specifically, the targeting peptide is a component of a modified, sequence-specified adeno-associated virus (AAV) capsid protein further wherein the brain substructure may be the globus pallidus, putamen, internal capsule, caudate, claustrum, substantial nigra, motor cortex, insula,.temporal cortex, thalamus, hippocampus, subiculum, and deep cerebellar nuclei.

Provided are compositions containing microalgae extracellular vesicles (MEVs) formulated for intranasal delivery, whereby, upon intranasal administration the MEVs traffic through specific routes following intranasal administration to specific regions in the brain via the olfactory nerve and throughout the lateral olfactory tract (LOT) to interconnected brain regions. The MEVs traffic via neuronal axonal transport. The MEVs have the ability to cross-over synapses including: (i) the synapses between the olfactory sensory neurons (OSN) and the mitral / tufted neurons; (ii) the synapses between the mitral / tufted neurons and the local neurons in the various brain regions colonized by the lateral olfactory tract (LOT); and (iii) the synapses between the neurons in the brain regions colonized by the LOT and neurons from the frontal cortex, the hippocampus, the thalamus, and the hypothalamus. The compositions contain extracellular vesicles from microalgae (MEVs) that are loaded with bioactive cargo for treating, detecting, diagnosing, or monitoring a disease, disorder, or condition of the brain or involving the brain, particularly providing neuronal delivery of the cargo. The compositions and methods have a variety of applications as therapeutics and diagnostics for treating, diagnosing, and monitoring a disease, disorder, or condition of the brain or involving the brain. The compositions can be used in methods and uses for treating cancers involving the brain, and can be used, for example, to deliver therapeutics for psychiatric diseases, disorders, conditions, and to deliver therapeutics for neurodegenerative diseases, disorders, and conditions.

Methods and systems for assisting the programming of stimulation parameters for deep brain stimulation (DBS) for a subject patient are described. An accumulated database comprises data from a plurality of historical fitting / programming sessions. The data can include various stimulation parameter sets that were tried for patients in the database; data relating to the position of the electrode lead with respect to anatomical features the patients' brains, for example, with respect to the alignment of their subthalamic nucleus (STN); scores indicating the therapeutic effectiveness of the stimulation parameters; and data relating to stimulation field models (SFMs) for the various stimulation parameter sets. The database may be used to predict stimulation parameter sets that are likely to be therapeutically effective for the subject patient.

The present disclosure relates to the treatment of patients with mid- to late-stage Parkinson's Disease using subthalamic nucleus deep brain stimulation (STN-DBS) to a target a defined region of the brain. In particular, by positioning and / or programming the DBS electrode to stimulate cortical input fibers from the primary motor and supplementary motor areas (but not the pre-SMA), improved therapeutic benefits are obtained.

The present invention provides a method, system, medium, and electronic device for locating the ventral intermediate nucleus of the thalamus. The method comprises the following steps: acquiring magnetic resonance multi-echo gradient echo data and non-magnetic field disturbance transverse relaxation rate R2 images of the brain; generating a reconstructed quantitative magnetic susceptibility image based on the magnetic resonance multi-echo gradient echo data; acquiring a paramagnetic magnetic susceptibility image and a diamagnetic magnetic susceptibility image based on the magnetic resonance multi-echo gradient echo data and the non-magnetic field disturbance transverse relaxation rate R2 image; registering the reconstructed quantitative magnetic susceptibility image with the prior quantitative magnetic susceptibility image to acquire the position of the ventral intermediate nucleus of the thalamus; dividing the contour of the ventral intermediate nucleus of the thalamus on the diamagnetic magnetic susceptibility image based on the position of the ventral intermediate nucleus of the thalamus. The method, system, medium, and electronic device for locating the ventral intermediate nucleus of the thalamus of the present invention realize the positioning of the ventral intermediate nucleus of the thalamus based on subvoxel quantitative magnetic susceptibility imaging, thereby improving the positioning efficiency and positioning accuracy.

Various embodiments of the present technology generally relate to closed loop deep brain stimulation based on inferred sleep stage from physiological data using machine learning classifiers. Some embodiments, for example, may use subthalamic nucleus (STN) deep brain stimulation (DBS) to treat advanced Parkinson's Disease motor symptoms and improve sleep by identifying sleep stages commensurate with clinician-scored polysomnography (PSG). The DBS may be adapted to include a novel artificial neural network (ANN) that triggers targeted stimulation in response to inferred sleep state from STN local field potentials (LFPs) recorded from implanted DBS electrodes. A feedforward neural network can be trained to prospectively identify sleep stage with PSG-level accuracy. In some embodiments, the machine learning model stored within the DBS may also adapt stimulation during specific sleep stages to treat targeted sleep deficits.

The invention discloses a brain level dynamic analysis and virtual intervention method based on thalamus-cortex functional gradient, and belongs to the technical field of neural image analysis and mental disease calculation modeling. The invention aims to solve the problems that the existing research cannot systematically reveal the time sequence damage of thalamic cortex connection in disease development, cannot describe a cortex hierarchy compression mechanism, and lacks a simulation framework for theoretical intervention verification. A set of comprehensive analysis process integrating large-sample multi-center resting state fMRI, functional gradient mapping, sensory movement-highlight network-joint cortical axis construction, cortical separation coefficient calculation and virtual intervention simulation is provided to identify systematic anomalies of the thalamic cortical network in schizophrenia. And the key function of the highlighting network in the hierarchical structure damage process is analyzed. The cross-disease course, multi-scale and multi-network integration method established by the invention can systematically describe the hierarchical recombination process from the sensory region to the joint region in schizophrenia, and provides an innovative technical path for understanding disease neural basis, identifying disease course stage characteristics and exploring potential intervention targets.

A method for use in the treatment of diseases affecting the brain by providing exogenous Nav1.1 via CAV-2 vector-mediated delivery of a copy of SCNIA ORF into central nervous system (CNS) neurons. The method includes injection of the viral vector into the hippocampus and / or thalamus. Transcriptional control of the SCNIA expression cassette can be provided by specific promoters, such as NSE, to achieve targeted neuronal expression. This strategy is suitable as a therapeutic approach regardless of the underling SCNIA mutation. Moreover, because this approach compensates for the loss of function of Nav1.1, it can potentially ameliorate Dravet Syndrome, epileptic and non-epileptic comorbidities thereof, epilepsy, Alzheñner's, and other Nav1.1-associated pathological conditions.

The present disclosure relates to systems, devices, and methods for ultrasound neuromodulation of a target brain region to modulate the connectivity within the default mode network. The method involves administering focused ultrasound configured to modulate the connectivity within the default mode network. Modulating the connectivity of the default mode network can promote mental well-being, decrease the frequency and duration of non-present-focused thinking, enhance present-tense experiential engagement, improve attention, reduce mind wandering during tasks, and / or mitigate ruminative thinking. The focused ultrasound can target the anterior thalamus or neighboring structures, utilizing two transducers placed over the temporal window to create a cross beam overlapping the thalamus. Ultrasound may be pulsed within a spectral range of 10-30 Hz, with a duty cycle of less than 15%, and delivered over a period of at least 5 minutes.

Provided herein are targeting peptides and vectors comprising sequences encoding the targeting peptides that deliver agents to specific substructures in the brain. In particular, the targeting peptide is a component of a modified sequence-specific adeno-associated virus (AAV) capsid protein, and in addition, wherein the substructure of the brain may be a globular pallidum, a shell nucleus, an endocyst, a caudal nucleus, a screen nucleus, a nigra, a motor cortex, a brain island, a temporal lobe cortex, a thalamus, a hippocampus, a hypopus, and a deep cerebellar nucleus.

The invention discloses a low-deviation multi-scale regional brain age prediction method based on adversarial training, and relates to the technical field of medical image analysis, artificial intelligence and neurodegenerative disease diagnosis. The method comprises the following steps: firstly, carrying out standardized preprocessing on T1 weighted structure MRI data, segmenting a brain region by using an AAL3 map, then constructing an adaptive 3D convolutional neural network, and introducing a gradient inversion layer to realize age group adversarial training so as to reduce systematic deviation; performing brain age prediction by adopting multiple regression models, further reducing residual deviation by a linear correction method, and finally performing statistical analysis to identify a regional accelerated aging mode of disease specificity. Experimental results show that the method effectively reduces the age-related deviation of 67.6% ROI, successfully identifies the significantly accelerated aging of the Parkinson's disease patient in left temporal medial gyrus, thalamus ventral lateral nucleus and brainstem monoaminergic nuclei, and provides important technical support for early diagnosis and progress monitoring of neurodegenerative diseases.

The invention discloses a chronic pain relieving method based on virtual reality and time interference nerve regulation, and relates to the technical field of nerve regulation and virtual reality medical treatment, and the method comprises the steps: constructing an individual function vulnerability quantitative model of a multi-dimensional index; generating a dynamic adaptive virtual reality scene synchronized with the pain rhythm and emotion based on the model; configuring double-frequency time interference electric field parameters of targeted thalamus and anterior clasp back; performing millisecond-level synchronization on cognitive emotion events in neural regulation and virtual reality, and performing closed-loop adjustment on intervention parameters based on gamma wave band phase amplitude coupling strength; the pain evolution trend is predicted through the long-short-term memory network, and the subsequent intervention strategy is optimized. According to the invention, multi-dimensional precise targeted intervention on chronic pain is realized, the safety, individual suitability and long-term curative effect of treatment are remarkably improved, and the problems of poor suitability and difficult maintenance of curative effect in chronic pain intervention of old people are solved.

This disclosure relates to the field of image processing, and more particularly to a method, apparatus, electronic device, and storage medium for determining arteriovenous points. The method includes: segmenting a brain perfusion image sequence into thalamic regions to determine the thalamic regions within the brain perfusion image sequence; determining the signal-time curve corresponding to each candidate arteriovenous point based on the pixel values ​​of the pixel set corresponding to each candidate arteriovenous point in the brain perfusion image; and determining arterial or venous points from the candidate arteriovenous points based on the signal-time curves and, in conjunction with the signal-time curve characteristics of sampled pixels in the thalamic region. This method efficiently and accurately selects healthy arteriovenous points and obtains reasonable AIF and VOF curves, improving analytical accuracy and enhancing the rationality and interpretability of the results.

The invention relates to the technical field of mechanical arm control, in particular to a mechanical arm brain-like control method and device based on a spiking neural network, and the method comprises the steps that a cerebellum module is constructed based on the spiking neural network, and an initial torque instruction of a target mechanical arm is obtained through the cerebellum module; constructing a thalamus module based on the initial moment instruction, and adjusting the initial moment instruction by using the thalamus module to obtain a final moment instruction; constructing a brainstem module by using the final moment instruction to obtain a feed-forward moment; and a spinal cord module is constructed based on the pulse codes and the feed-forward torque, and a mechanical arm control model is constructed in combination with the cerebellum module, the thalamus module and the brainstem module so as to output a torque control instruction. Therefore, the problems that in the related technology, in a complex working scene, due to the influences of the size, the quality and the like of an operation object, the working requirements of the mechanical arm are remarkably different when the mechanical arm executes different tasks, the control precision is reduced, the universality is damaged, and the mechanical arm cannot adapt to the control tasks under the complex load condition are solved.

This invention provides the application of deoxycholic acid in the treatment of postherpetic neuralgia. This invention is the first to discover that deoxycholic acid is effective in treating postherpetic neuralgia, and that inhibiting the nucleus tractus solitarius-paraventricular nucleus circuit of the thalamus is also effective in treating postherpetic neuralgia. A synergistic therapeutic effect was achieved when deoxycholic acid was combined with an inhibitor of the nucleus tractus solitarius-paraventricular nucleus circuit. This invention provides a new strategy for the treatment of postherpetic neuralgia.