41 results about "Thalamus" patented technology

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 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.

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.

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.

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.

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.

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.

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.

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.

The invention relates to the technical field of consciousness behavior feature recognition, in particular to a postoperative consciousness monitoring system based on multi-modal data analysis. A consciousness characteristic dominant window is determined by analyzing gamma signal waves of the forehead lobe electroencephalogram signals in the signal acquisition window, the excitation module controls the second acquisition unit to perform illumination excitation on pupils of a target object and acquire pupil state images, and a pupil state change curve is drawn through the information matching module. And constructing a corresponding relation between the consciousness response characterization duration and the consciousness transmission characterization duration, and calculating a follow-up coefficient of the consciousness transmission characterization duration and the consciousness response characterization duration through an early warning module so as to judge whether to send out an early warning prompt or not. Furthermore, multi-modal monitoring of consciousness-related neural activity and peripheral response is realized, and the accuracy of postoperative consciousness monitoring is improved by establishing association between brain neurotransmission and pupil response.

The application discloses application of anterior piriform cortex GABAergic neurons as an analgesic target point, and relates to the technical field of neuroscience and pain. GABA The application discloses that the neural loop (APC GABA →MD) from the anterior piriform cortex GABAergic neurons to the thalamic dorsal medial nucleus plays a key role in pain regulation. Experiments prove that the loop can not only relieve acute pain, but also has a significant analgesic effect on the clinical treatment of intractable chronic inflammatory pain and neuropathic pain models, and shows a wide treatment application prospect.

The application discloses an unmanned obstacle avoidance method based on brain-like pulse reinforcement evolution and related devices, and the application generates an obstacle avoidance action at the current time according to the state sequence of the unmanned vehicle at the current time and the cortex-basal ganglia-thalamus network, and optimizes the cortex-basal ganglia-thalamus network at the next time based on the obstacle avoidance action at the current time. In the optimization process of the cortex-basal ganglia-thalamus network, the alert value of the cortex-basal ganglia-thalamus network to the environment is accumulated according to the reward difference value at adjacent times. When the accumulated alert value does not exceed a second threshold, the cortex-basal ganglia-thalamus network is optimized based on a spike timing-dependent plasticity mechanism and a dopamine regulation mechanism in turn. When the accumulated alert value exceeds the second threshold, the cortex-basal ganglia-thalamus network is optimized based on an offline evolution method of a genetic algorithm, so that the obstacle avoidance method with fast adaptation to different complex environments and accurate decision-making is realized.

The invention relates to a thalamus subregion segmentation method and system based on 7TMR-PF nucleus specificity, and belongs to the field of medical image analysis and neurodegenerative disease diagnosis. The method comprises the following steps: S1, constructing a hybrid network comprising a CNN, a visual MLP and an axial shift self-attention mechanism, and performing thalamic subregion segmentation on a 7TMR image; s2, synthesizing a 7T type image of the 3TMRI by using CycleGAN, and enhancing the magnetic sensitive characteristics of the PF nuclei; and S3, introducing an anatomical weight loss function, and endowing 1.8 times of pathological weight coefficients to the PF nuclei. The system comprises an image preprocessing module; a hybrid network segmentation module; a pathology association optimization module; and a clinical evaluation module. Through structure-function cross-modal fusion, key nucleus key optimization and efficient calculation architecture, high precision, strong pathological association and high clinical practicability of thalamus subregion segmentation are realized, and reliable image technical support is provided for early diagnosis and disease assessment of PDD and other neurodegenerative diseases, so that the technical problem of the application is solved.

Artificial expression constructs for modulating gene expression in targeted central nervous system cell types are described. The artificial expression constructs can be used to express synthetic genes or modify gene expression in GABAergic or glutamatergic neurons within the thalamus. In some cases, the artificial constructs can also be used to express synthetic genes or modify gene expression in neurons within the thalamus as well as a secondary cell type.

This disclosure provides a method for selecting parameters for stimulation of the thalamus using a deep brain stimulator to treat a motor disorder in a subject, such as paralysis of the upper limb and face muscles. Also provided are methods for treating motor disorder in a subject. Also provided is an implantable electrode lead for neuromodulation and recording, configured to provide targeted stimulation and / or recording to multiple anatomically distinct neural structures, specifically the thalamus, the motor cortex, and optionally, the corona radiata, using a single continuous elongate lead body.

A composition containing microalgae extracellular vesicles (MEVs) formulated for intranasal delivery is provided, whereby upon intranasal administration, the MEVs travel through a specific pathway, via the olfactory nerve, through the lateral olfactory tract (LOT) to interconnected brain regions, and to specific regions within the brain. The MEVs are transported via neuronal axonal transport. The MEVs have the ability to cross synapses, including (i) synapses between olfactory nerve neurons (OSNs) and mitral / tufted neurons, (ii) synapses between mitral / tufted neurons and local neurons in various brain regions anchored by the lateral olfactory tract (LOT), and (iii) synapses between neurons in brain regions anchored by the LOT and neurons from the frontal cortex, hippocampus, thalamus, and hypothalamus. The composition contains microalgae (MEV)-derived extracellular vesicles loaded with a bioactive cargo for treating, detecting, diagnosing, or monitoring diseases, disorders, or conditions of or involving the brain, and specifically provides neuronal delivery of the cargo. The compositions and methods have a variety of applications as therapeutic and diagnostic agents for treating, diagnosing, and monitoring diseases, disorders, or conditions of or involving the brain. The compositions can be used in methods and uses for treating cancers involving the brain, for example, to deliver therapeutic agents for psychiatric diseases, disorders, and conditions, and to deliver therapeutic agents for neurodegenerative diseases, disorders, and conditions.

A robot arm brain-like control method and control apparatus based on a spiking neural network. The control method comprises: on the basis of a spiking neural network, constructing a cerebellar module, so as to use the cerebellar module to obtain an initial torque instruction for a target robot arm; on the basis of the initial torque instruction, constructing a thalamic module, and using the thalamic module to adjust the initial torque instruction, so as to obtain a final torque instruction; using the final torque instruction to construct a brainstem module, so as to obtain a feedforward torque; and on the basis of spike coding and the feedforward torque, constructing a spinal cord module, and combining the cerebellar module, the thalamic module and the brainstem module to construct a robot arm control model, so as to output a torque control instruction. The control apparatus is used for implementing such a control method. The present invention can solve problems such as reduced control accuracy, impaired universality and inability to adapt to control tasks under complex load conditions, which are caused by significant differences in working requirements when a robot arm executes different tasks due to the impact of the size, mass, etc., of an operated object in complex working scenarios.

The invention belongs to the field of neurobiology and neuroengineering, and provides a method for predicting and preventing dyskinesia diseases (such as Parkinson's disease) caused by dopamine system damage before clinical symptoms appear by taking abnormal low-frequency beta neural oscillation of a specific brain region as a biomarker. The method is used for predicting abnormal high-frequency beta neural oscillation occurring after the diseases (especially the period after motion symptoms appear); wherein the monitoring and intervention target brain region of the abnormal low-frequency beta oscillation is striatum, and the abnormal high-frequency beta oscillation is visible in the striatum, the motor cortex and the subthalamic nucleus.

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.

The present disclosure provides myeloid cells, microglial progenitor cells, and microglia-like cells in which a mutant gene has been repaired or replaced, and methods of using such cells to treat disease. Mutations in CSF1R were corrected in human induced pluripotent stem cells. The resulting cells were differentiated into microglial progenitors and then transplanted into the brain of xenotransplantation-compatible CSF1R-AFIRE / AFIRE mice, thereby preventing or reversing phenotypes associated with leukodystrophy, including thalamic microbleeds, calcification, astrogliosis, axonal spheroids, synaptic loss, and accumulation of Tau phosphorylated at threonine residue 217.

This invention discloses a time-interference-based system for optimizing stimulation parameters of the subthalamic nucleus in Parkinson's disease, belonging to the field of stimulation parameter optimization technology. The system includes: a multimodal data acquisition and preprocessing module for acquiring motor neural data and performing data preprocessing; a gait electromyographic stability assessment module for analyzing motor stability characteristics to construct stability indices and determine stability improvement before and after stimulation; a stimulation dose-response modeling module for identifying the half-effect equivalent stimulation intensity and target stability level, inferring the potential improvement trend of the current stimulation, generating candidate stimulation parameter combinations and improvement predictions; and a comprehensive benefit parameter optimization module for fitting the improvement response time constant, obtaining an evaluation window, assessing the comprehensive benefit, and selecting recommended stimulation parameters. This invention solves the technical problem of existing technologies where large fluctuations and high noise in single-modal data make it difficult to stably reflect the patient's true neuromotor state, leading to unreliable stimulation parameter optimization.