62 results about "Brainstem" patented technology

A neurophysiological magnetic stimulation (NMS) method includes obtaining motor thresholds over one or both motor strips adhered to the patient's head or the equivalent anatomic region for treatment of non-brain, nervous system disorders. The method further includes applying magnetic stimulation coils to a therapeutic target region of the patient's brain, brainstem, spinal cord, or peripheral nervous system and applying NMS in increasing amplitudes as tolerated over the course of treatment.

The invention provides an analogue simulation method for accumulated craniocerebral injury under the action of multiple shock waves, and relates to the technical field of data processing. The method comprises the following steps: constructing an explosive shock wave model; constructing a head geometric model; the brain, the cerebellum and the brainstem in the solid area are represented through a Mooney Rivlin model; representing the skin, muscles and skull in the solid area through a linear elastic constitutive model; the cerebrospinal fluid in the fluid area is represented through the fluid dynamic model; coupling the fluid region and the solid region through an embedded boundary method; calculating the explosion impact pressure when the explosion impact waves of each turn are transmitted to the head through an explosion impact wave model; through a finite element analysis method, accumulated skull displacement, skull acceleration, skull stress, skull strain and intracranial pressure under the action of each turn of explosion shock waves are determined, and a brain accumulated injury value is calculated.

A system may be configured for treating a patient with epileptic seizures. The system may include a therapy delivery system configured to use a set of electrodes positioned adjacent to a spinal cord or dorsal column nuclei and a stimulation configuration to deliver neuromodulation energy to at least one target neural pathway in or near the spinal cord. The at least one target neural pathway includes the dorsal column nuclei or axons projecting to the dorsal column nuclei. The dorsal column nuclei and the axons are somatotopically organized and project to at least one of a cerebellum, a thalamus or a brainstem, which include somatotopically organized nuclei and project axons to different areas of a cortex. The at least one target neural pathway corresponds to at least one of the different areas of the cortex in which the epileptic seizures were located.

The invention relates to the technical field of crossing of medical instruments and artificial intelligence, and provides a hearing threshold detection method based on multi-mode hearing electrophysiological signal fusion. Comprising stimulation frequency otoacoustic emission and auditory brainstem response induced by sweep frequency stimulation sound, distortion product otoacoustic emission induced by dual-tone stimulation and middle ear sound immittance / reflection signals, and a multi-task deep learning model is constructed to perform fusion analysis on the signals. According to the method, accurate quantitative regression prediction of hearing thresholds with any frequency resolution and automatic classification and discrimination of hearing loss properties are synchronously realized, the problems of single evaluation dimension and insufficient complex hearing loss analysis ability in the prior art are effectively solved, the comprehensiveness, accuracy and clinical operation efficiency of objective hearing evaluation are remarkably improved, and the method is suitable for popularization and application. And an innovative system solution is provided for fine diagnosis of the auditory function.

The invention discloses a humanoid robot control method based on a neural circuit, and belongs to the technical field of robot control, and the method comprises the steps: S1, constructing a three-layer pulse neural control architecture comprising spinal cord reflex, brainstem balance and cortex decision, and carrying out the weight adaptive distribution and cooperative operation between layers through the dynamic adjustment of neurotransmitter concentration, organic cooperation of prediction and reflection is realized through a three-stage control system; the cerebellar prediction network executes attitude adjustment in advance through a delay compensation algorithm, and compared with pure feedback, the control energy consumption is reduced; the parallel reflex pathway of the spinal cord layer establishes a nerve bypass mechanism, and the emergency response is realized by bypassing high-level processing in an emergency; the multi-layer safety monitoring improves the triggering accuracy of a protection mechanism through error confidence evaluation and contact stability analysis; a weight transfer mechanism of pulse frequency modulation avoids sudden movement change during control mode switching; by means of the design, the stability retention rate of the robot walking on the inclined plane is remarkably improved compared with a traditional method.

A Maclura pubescens extract or fraction or a Prunus cerasoides extract or fraction having neuroglobin (Ngb) activation and neuroprotective effects and, on the basis thereof, a neuroprotective composition containing, as an active ingredient, a Maclura pubescens extract or fraction or a Prunus cerasoides extract or fraction. The neuroprotective composition can be used, through the activation of neuroglobin (Ngb), as a pharmaceutical composition or a food composition for treatment, alleviation and prevention of a stroke, a cerebral infarction, thrombosis, cerebral degenerative disease, vascular dementia, memory loss, short-term memory impairment, a concentration disorder, anxiety, nervousness and the like, and for brain damage protection, brain function improvement and cranial nerve cell protection.

The present application discloses an image processing method, system, electronic device and storage medium. Among them, the image processing method includes: inputting a first target magnetic resonance image into a brainstem generation model for modeling processing to obtain a three-dimensional brainstem image, and obtaining a target brainstem image according to the three-dimensional brainstem image; inputting the target brainstem image into a target boundary point detection model for detection processing to obtain boundary point coordinates; obtaining the midbrain area and pons area according to the boundary point coordinates, target point coordinates and target brainstem image; inputting a second target magnetic resonance image into an endpoint detection model to obtain endpoint coordinates, and then calculating the middle cerebellar peduncle data according to the endpoint coordinates; obtaining the superior cerebellar peduncle data according to the second magnetic resonance image, and finally obtaining target data according to the midbrain area, pons area, middle cerebellar peduncle data and superior cerebellar peduncle data. The image processing method of the embodiments of the present application can improve the measurement efficiency and measurement accuracy.

The invention relates to the technical field of medical instruments, in particular to a method and a device for tracking, monitoring and evaluating brainstem functions of pupils based on human head rotation, and effectively solves the problem that multi-angle pupil images can be acquired in a stable state of the head of a patient through cooperation of a rotating seat and an infrared camera. The accuracy and comprehensiveness of brainstem function evaluation are improved; according to the technical scheme, the device comprises an arc-shaped bracket which is semi-arc-shaped, one end of the arc-shaped bracket is provided with an output shaft, and the output shaft is connected with external driving equipment; the rotating seat is arranged on the arc-shaped bracket, the bottom of the rotating seat is meshed with the surface of the output shaft, and a head support is arranged in the middle of the rotating seat; the sponge strips are located on the two sides of the head support and bonded with the rotating base in a tearable mode through hook-and-loop fasteners.

The invention relates to the technical field of electroencephalogram signal monitoring and processing, in particular to a user category determination method based on an auditory brainstem reaction normal form and source localization, and the method comprises the following steps: obtaining auditory brainstem reaction data and electroencephalogram data when a target user is stimulated by external sound; based on a feature extraction module, feature extraction is carried out on source estimation data corresponding to the auditory brainstem response data and the electroencephalogram data; performing feature fusion on the basis of the features extracted from the auditory brainstem reaction data and the features extracted from the source estimation data, and determining fusion features; and determining the category of the target user based on the fusion features and a user category prediction model. According to the scheme for carrying out early diagnosis and screening on the autism infants based on the auditory brainstem reaction data and the electroencephalogram data, early autism (ASD) screening of the infants can be finally achieved under the support of the electroencephalogram equipment and auditory brainstem reaction testing.

A method for early diagnosis of autism spectrum disorder (ASD) including determining an ASD risk index, determining an ASD brain index that includes administering at least one auditory brainstem response (ABR) test to an ear canal of a patient, producing a plurality of biomarkers and identifying at least one biomarker of the plurality of biomarkers as a potential ASD biomarker, and determining an ASD likelihood responsive to each of the ASD risk index and ASD brain index.

A spinal cord machine interface (SCMI) device is described. The SCMI includes an intraspinal probe, composed of at least one implantable shank. The implantable shank include a sensing electrode array and a stimulating electrode array. The SCMI also includes an application specific integrated circuit (ASIC). The ASIC is configured to detect action potentials from a patient's spine using the sensing electrode array and to stimulate a target action of the patent using the stimulating electrode array according to a location of the action potentials in a spinal cord and a learned mapping of the location of the action potentials to the target action.

The application discloses a kind of whole brain segmentation method, system, equipment and medium, method includes obtaining CT image data, and standard image data is obtained by preprocessing;Standard image data is input into whole brain segmentation model, and whole brain segmentation result is obtained.Wherein, whole brain segmentation model is obtained based on sample annotation data training, and whole brain segmentation model includes CNN encoder, Transformer encoder, multiple cross-domain fusion modules and the feature enhancement module corresponding to cross-domain fusion module one by one, and decoder.The application has the advantages that the soft tissue contrast of CT image data is low, it is difficult to distinguish cerebral grey matter, cerebral white matter, cerebrospinal fluid and brainstem brain tissue problem, by CNN encoder extraction local feature and Transformer encoder extraction global semantic feature, and local feature and global semantic feature dynamic interaction and fusion, accurately segmented advantage is carried out to whole brain cerebral grey matter, cerebral white matter, cerebrospinal fluid and brainstem brain tissue.

Methods, systems and devices are provided to stimulate the vestibular system in such a way as to influence the neurological components of the autonomic nervous system and reduce an anxiety level in a subject. A device with one or more electrodes placed over a subject's scalp provides vestibular nerve stimulation (VeNS) to the vestibular nerve, which is then carried into the vestibular nucleus in the brainstem and thereafter transmitted to the neurological components of the autonomic nervous system to reduce a physiological reaction to an anxiety event. The characteristics of the stimulation signal and duration of the treatment are configured to allow the treatment to be delivered before, during or after an anxiety event to potentially prevent or at the very least reduce an anxiety response in the subject.

The invention discloses an auditory brainstem response automatic classification method and device based on a time-frequency cross attention network, equipment and a storage medium, and relates to the technical field of hearing monitoring. Double-branch parallel processing is carried out on ABR signals; the frequency domain branch obtains time-frequency spectrogram features through short-time Fourier transform; a characteristic linear modulation mechanism is introduced into each of the two branches, and stimulation intensity is used as conditional information to carry out adaptive scaling and offset on intermediate characteristics; complementary fusion of the time-frequency characteristics is realized through a bidirectional cross attention mechanism, so that the time-domain characteristics can query the frequency-domain information, and the frequency-domain characteristics can query the time-domain information; and performing binary classification decision by combining global average pooling, stimulation intensity late fusion and a multi-layer perceptron. According to the method, multi-modal information and physiological priori can be fully utilized in automatic classification without manual feature engineering, and the accuracy, objectivity and efficiency of hearing screening and diagnosis are remarkably improved.

To provide a skull model facilitating the understanding of an operation including a brain stem, a skull base, a posterior fossa, and a craniocervical spinal cord transition part since there is no suitable model corresponding to the examination of the operation including the brain stem, the skull base, the posterior fossa, and the craniocervical spinal cord transition part such as an approach to an important part, for example, an ExtremeLateralApproach and a TranscondylarApproach in the operation including the skull base part.SOLUTION: A head model for training or teaching craniotomy of disease in the skull, comprising at least a portion of the temporal bone, the posterior fossa, and the atlanto-occipital joint.SELECTED DRAWING: Figure 1

Provided is an electrical stimulation device capable of more effectively improving brain dysfunction. This electrical stimulation device is characterized by being provided with: a main body having at least two sets of channels for outputting set electrical signals from a positive electrode output unit and a negative electrode output unit; at least two sets of electrode pairs that are detachably attached to the living body and that apply an electrical signal to the living body; the cable is used for connecting the at least two channels of the main body with the at least two electrodes, one of the two electrode pairs is worn at two specific positions of the right half body side, and the other electrode pair is worn at two specific positions of the left half body side, so that the brain can be electrically stimulated without passing through the brainstem; the two sets of electrode pairs are visually distinguishable from each other so as to be able to recognize the difference in use so worn, and apply electrical signals different from each other to a specific position.

Methods, systems, and devices for stimulating the vestibular system are provided to excite nervous system components of the physiological rhythm system and induce sleep. A device having one or more electrodes placed on the subject's scalp provides vestibular nerve stimulation (VeNS) to the vestibular nerve, which is then carried into the vestibular nuclei of the brainstem, after which it is transmitted to nervous system components of the physiological rhythm system to excite areas that promote sleep, thereby putting the body into a sleep state. The characteristics of the stimulation signal and the duration of the treatment are configured to allow the treatment to be delivered prior to the subject's desired sleep time, thereby not requiring the device to be worn in bed.

The application belongs to the technical field of animal model construction, and discloses a method for establishing a tumor-bearing animal model for an OCT system, wherein a SD rat supratentorial brain parenchymal glioma model, a SD rat chiasma glioma model and a SD rat brain stem glioma model are constructed by using a C6 cell line; a rat sciatic nerve sheath tumor model and a rat trigeminal nerve RT4 tumor model are constructed by using an RT4 cell line to obtain a SD rat RT4 tumor cell animal model; and a BALB / c nude mouse U87MG tumor cell animal model and a BALB / c nude mouse IOMM-Lee tumor cell animal model are constructed by using a U87MG cell line and an IOMM-Lee cell line, respectively. The application successfully constructs a rat brain glioma model, a chiasma glioma model, a trigeminal nerve sheath tumor model, a sciatic nerve sheath tumor model, a nude mouse brain glioma model and a nude mouse sciatic nerve meningioma model.

The invention discloses a group of urine metabolites for diagnosing BSG (brain stem glioma) H3K27M gene mutation states, urine of BSG patients is detected through non-targeted LC-MS / MS (liquid chromatography-mass spectrometry / mass spectrometry), metabolites related to the H3K27M gene mutation states are screened, and content differences of Nomilin, Lys-Leu (lysine-leucine) and Hawkinsin in the BSG patients with different H3K27M mutation states are found to be obvious; further verifying the content change of the H3K27M gene mutation related metabolite in the urine of the BSG patient by using targeted LC-MS / MS; the research confirms that the combination of Nomilin, lysine-leucine (Lys-Leu) and Hawkinsin in the urine can be used for predicting the gene mutation state of the brain stem glioma H3K27M, and the gene mutation state of the brain stem glioma H3K27M can be used for predicting the gene mutation state of the brain stem glioma H3K27M.

The present invention provides a method for prolonging the in vitro culture time of cochlear hair cells, belonging to the field of cell culture, and the method steps are as follows: (1) dissecting the temporal bone: peeling off the mouse forebrain, cerebellum and brainstem, and separating and obtaining the cochlea; (2) extracting the cochlea: separating the spiral ligament on the Corti organ from the rest of the cochlea, peeling off the Reissner's membrane, and removing the tectorial membrane above the Corti organ; (3) culturing the cochlea in vitro: placing the cochlear hair cells upward on a cell culture plate containing a cell slide and a culture medium, wherein the cochlear hair cell culture medium is a DMEM high-glucose culture medium containing 0.6-0.7% glucose (including glucose in the basal culture medium), 1% N2 supplement and 100U / mL penicillin G sodium, and culturing the hair cells in a cell culture incubator, and replacing the culture medium every 72 hours. The in vitro culture method of cochlear hair cells provided by the present invention is the first reported method at home and abroad, and can culture hair cells in vitro for 30 days, which can meet the needs of exploring the mechanism of hair cell development and differentiation and collecting data on in vitro gene therapy for hearing impairment.

The invention discloses an oxygen uptake cardiopulmonary endurance testing method based on load turn-back walking and a human brain structure, and relates to the technical field of exercise physiology and biomedicine detection.The method comprises the steps that progressive load turn-back walking exercise data and a high-resolution brain structure image of a subject are obtained; extracting key brain region parameters such as the thickness of the anterior cinerary cortex, the grey matter density of island leaves and the signal intensity of brainstem respiratory center; normalizing the motion features and brain structure parameters and then constructing a 12-dimensional multi-modal fusion feature vector; and inputting a deep feedforward neural network model to predict the maximum oxygen uptake, and performing five-level cardiopulmonary endurance evaluation according to an age and gender correction result. According to the method, quantitative association between peripheral exercise performance and a central nervous anatomy basis can be realized, the heart and lung endurance evaluation precision of old people and individuals with abnormal neurological functions is remarkably improved, and rapid screening and personalized exercise prescription making are supported.

This invention provides a method for improving the horizontal baseline of an ABR (Auditory Brainstem Sensor) electroencephalogram (ABR), relating to the field of EEG monitoring technology. The key feature is that the ABR-1 instrument is used, and the baseline is changed to a horizontal baseline via a 6-pin integrated circuit. The ABR-1 instrument can acquire seven peak images. The advantages of this invention are: changing the baseline to a horizontal position reduces the impact of carrier waves on the final image, thus providing a clearer view of the detected image, facilitating physician interpretation, and improving overall diagnostic efficiency.

Methods and systems for radiation treatment planning and delivery apply a CODA cube. Cost values in the CODA cube may be used in the optimization of couch, collimator, and gantry angles simultaneously. Trajectories generated using the CODA cube show significant benefits when compared to conventional VMAT. A statistically significant sparing to OAR maximum radiation doses was seen. CODA plans resulted in a reduction to maximum radiation dose in OARs of 20.6% (p<0.01), with maximum brainstem radiation dose decreased by 2.63 Gy (p=0.031) on average. Mean reduction in total MU was 8.6% (p=0.156), and a mean decrease in non-target brain tissue receiving 12 Gy or higher was 3.9% (p=0.16), when compared to standard VMAT methods (n=7).

A device having a body defining at least one curved solid surface configured for manual supracutaneous stimulative pressure to a bodily acupoint resulting in a physiological response to a nerve leading to the spinal cord entry level and the brainstem to block or lessen overactive nerve impulses associated with overactive bladder (OAB), including nocturia, that result in a frequent urge to urinate. The body is shaped to interact and conform with the musculature and dermal folds that make up the soft contours of the human body to remain in place and to further promote stimulation of relevant acupoints.

The invention provides an application of an aurora kinase B inhibitor for preparing a medicine for treating brain stem glioma. In-vitro experiments of various cell lines and actual animal model verification prove that the aurora kinase B inhibitor, especially Barsertib-HQPA, has a good treatment effect on the brain stem glioma, especially the brain stem glioma combining H3F3A mutation and RELN mutation.

The invention discloses a whole brain segmentation method, system and device and a medium, and the method comprises the steps: obtaining CT image data, and carrying out the preprocessing to obtain standard image data; and inputting the standard image data into the whole-brain segmentation model to obtain a whole-brain segmentation result. Wherein the whole-brain segmentation model is obtained based on training of sample labeling data, and the whole-brain segmentation model comprises a CNN encoder, a Transform encoder, a plurality of cross-domain fusion modules, feature enhancement modules in one-to-one correspondence with the cross-domain fusion modules, and a decoder. Aiming at the problems that CT image data is low in soft tissue contrast, and the brain grey matter, the brain white matter, the cerebrospinal fluid and the brainstem tissue are difficult to distinguish, local features are extracted through a CNN encoder, global semantic features are extracted through a Transform encoder, and the local features and the global semantic features are dynamically interacted and fused, so that the accuracy of the CT image data is improved. And the method has the advantage of accurately segmenting the whole brain grey matter, the white matter, the cerebrospinal fluid and the brainstem brain tissue.

Methods, systems and devices are provided to stimulate the vestibular system in such a way as to alleviate post-infection symptoms of COVID-19. A device with one or more electrodes placed over a subject's scalp provides vestibular nerve stimulation (VeNS) to the vestibular nerve, which is then carried into the vestibular nucleus in the brainstem to alleviate post-infection symptoms of COVID-19 related to the vestibular system, including dizziness, fatigue, malaise, headache, nerve pain, insomnia and sleep problems, anxiety, depression and difficulty concentrating. The characteristics of the stimulation signal and duration of the treatment are configured to allow the treatment to be delivered at the onset of one or more symptoms or at regular daily intervals alleviate the post-infection symptoms immediately or over a longer period of time.

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 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.

To provide methods of profiling gene and protein expression of a plurality of nuclei from a single cell type.SOLUTION: Provided is a method of profiling nuclear epigenetic expression and / or nuclear structure, the method comprising: (a) processing a tissue sample containing a plurality of cell types to expose nuclei, the tissue sample comprising brain tissue, brain stem tissue, and / or spinal cord tissue; (b) contacting the nuclei with two or more affinity labels that bind to different nucleic acid transcripts or proteins that are specific to the nuclei of a cell type in the tissue sample to label the nuclei, the nucleic acid transcripts or proteins being encoded by genes selected from a specific group; (c) purifying the nuclei labeled with two or more affinity labels; and (d) (i) collecting information regarding histone modifications, binding of transcription factors, and DNA modifications for the labeled nuclei to profile the epigenetic expression of the nuclei, and / or (ii) collecting information on the chromosomal structure of the labeled nuclei to profile the nuclear structure.SELECTED DRAWING: Figure 1