38 results about "Brainstem" patented technology

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 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

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 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.

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.

This invention relates to pharmaceutical compositions, including compositions adapted for intranasal administration, comprising an active ingredient, including phosphodiesterase inhibitors, useful in the treatment of respiratory dysfunction associated with motor neuron diseases and lysosomal storage diseases, including amyotrophic lateral sclerosis and other adult and pediatric neurodegenerative diseases characterized by central apnea and protein misfolding involving brainstem nuclei.

This invention provides a radioactive monoclonal antibody formulation, its preparation method, kit, and application, belonging to the field of biomedical technology. It addresses the limitations of existing B7-H3-targeted radiopharmaceuticals in terms of administration methods and formulations, which are unsuitable for the minimally invasive local treatment needs of brainstem gliomas. The radioactive monoclonal antibody formulation includes: a radionuclide. 177 The radioactive monoclonal antibody formulation contains Lu, the chelating agent DOTA, and B7-H3 monoclonal antibody; the radioactive concentration of the formulation is ≥370 MBq / mL, the protein content is 5-10 μg / dose, the pH value is 6.8-7.4, the osmotic pressure is 270-320 mOsm / kg, and the viscosity at 20°C is 1.2-2.5 mPa·s. This radioactive monoclonal antibody formulation is suitable for "stereotactic micro-injection" into the brainstem parenchyma, achieving high-concentration deposition in small volumes and inhibiting backflow upon needle cessation, reducing long-term perfusion dependence and backflow risk, and reducing operation time and procedural complexity in high-risk areas of the brainstem.

The invention provides a bone conduction control method based on a high-frequency ceramic vibrator, and the method comprises the steps: enabling a to-be-detected organism to be fixed, enabling a vibrator sounder to be attached to a skull of the to-be-detected organism, enabling the vibrator sounder to generate vibration according to a stimulation signal, and transmitting the vibration to a skull part; detecting and analyzing an auditory brainstem signal generated by the skull part through vibration to obtain a bone conduction auditory threshold value; and comparing the bone conduction auditory threshold with the air conduction auditory threshold to judge the lesion position. By comparing the bone conduction threshold value with the air conduction threshold value, whether the hearing loss is derived from the middle ear conduction disorder or the inner ear sensorineural disorder can be clearly judged, so that accurate distinguishing of lesion positions is realized, and the limitation that the air conduction test is restricted by the middle ear function is overcome.

The invention discloses application of Stab2 protein or coding nucleic acid thereof in preparation of a medicine for treating hearing loss, belongs to the technical field of biological medicine and gene therapy, and aims to solve the problem that in the prior art, an effective repairing means for cochlea banding synapse injury is lacked. The medicine mainly comprises a recombinant virus vector (preferably a lentiviral vector) carrying a Stat2 coding sequence, and the recombinant virus vector is suitable for being delivered to the inner ear through round window injection after being prepared; experiments show that overexpression of Stab2 protein in cochlea can significantly promote regeneration of banding synapses of inner hair cells after noise damage, and the number of synapses is effectively increased; meanwhile, the hearing brainstem reaction threshold value can be remarkably reduced, and the ABR I wave amplitude representing the nerve conduction function is improved; by repairing damaged synaptic junctions, noise-induced hearing loss and implicit hearing loss can be effectively treated, tinnitus, auditory allergy and speech resolution disorder are improved, and good clinical transformation prospects are achieved.

The invention belongs to the technical field of psychological therapy decompression and relaxation assistance, and particularly relates to a psychological therapy decompression and relaxation assistance device which comprises a seat, a backrest is fixedly mounted on the seat, mounting plates are symmetrically and fixedly mounted on one side of the backrest, mounting grooves are formed in the opposite sides of the two mounting plates, and sound boxes are fixedly mounted in the mounting grooves. A movable groove is formed in the seat, a rotating plate is rotatably installed in the movable groove, a plurality of second sponge pads are fixedly installed at the top of the rotating plate, a plurality of first sponge pads are fixedly installed on one side of the chair backrest, a groove is formed in one side of the seat, and a leg support is rotatably installed in the groove. The nerve excitation related to anxiety emotion can be effectively inhibited, the mood center activity can be adjusted, vestibular hair cells can be activated through mild periodic shaking, regular neural signals can be transmitted to brainstem vestibular nuclei, then excitation output of a net activation system is inhibited, and the balance of an autonomic nervous system is adjusted.

The embodiment of the invention discloses an electroencephalogram feature extraction method combining ABR and ERP waveform, comprising: acquiring left and right brain wave shapes from the same test, the brain wave shapes including ABR waveform and ERP waveform; for the left and right ABR waveforms and the left and right ERP waveforms, time features, amplitude features, density features and fatigue features between single-side waveforms and double-side waveforms are extracted; and fusing time features, amplitude features, density features and fatigue features of the left and right ABR waveforms and the left and right ERP waveforms as electroencephalogram features for reflecting neural activity. According to the embodiment of the invention, multi-dimensional effective signal features can be extracted from the ABR and ERP brain wave shapes to comprehensively reflect the neural function states of the brain and the brainstem.

The application discloses a group of urine metabolites for diagnosing H3K27M gene mutation state of brain stem glioma, and relates to non-target LC-MS / MS detection of urine of brain stem glioma (BSG) patients and screening of H3K27M gene mutation state related metabolites, finding that nomilin, lysine-leucine (Lys-Leu) and Hawkinsin have obvious content differences in BSG patients with different H3K27M mutation states; the content changes of H3K27M gene mutation related metabolites in urine of BSG patients are further verified by using targeted LC-MS / MS; and research confirms that the combination of nomilin, lysine-leucine (Lys-Leu) and Hawkinsin in urine can be used for predicting the H3K27M gene mutation state of brain stem glioma.

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.

Provided are compounds, methods, and pharmaceutical compositions for reducing the amount or activity of ATXN1 RNA in a cell or subject and, in certain cases, reducing the amount of ATXN1 in a cell or subject. Such compounds, methods, and pharmaceutical compositions can be used to improve at least one symptom or marker of a neurodegenerative disease. Such symptoms and markers include gait and limb ataxia, cognitive impairment, difficulty speaking and swallowing, atrophy of the cerebellum and brainstem in magnetic resonance imaging (MRI), neurochemical abnormalities in the cerebellum and brainstem detected via magnetic resonance spectroscopy (MRS), and death within 10-15 years after symptom onset. Such neurodegenerative diseases include spinocerebellar ataxia type 1.

This invention discloses a method for constructing an animal model of sensorineural hearing loss induced by phenylacetylglutamine and its application. The method includes: selecting 6-8 week old male C57BL / 6J mice, intraperitoneally injecting phenylacetylglutamine solution at a dose of 50 mg / kg body weight / day, once daily, for at least 4 months to obtain the sensorineural hearing loss animal model. This model is characterized by a significantly elevated auditory brainstem response threshold, loss of cochlear outer hair cells, and increased oxidative stress levels. This invention establishes for the first time an animal model of sensorineural hearing loss induced by the circulating metabolite phenylacetylglutamine, filling the technical gap in existing models that cannot simulate hearing loss mediated by metabolic abnormalities. The model construction method is simple to operate, has a high success rate, and good reproducibility, and can be used for research on the pathogenesis of sensorineural hearing loss and screening for preventive and therapeutic drugs.

A chimeric non-human mammal disease model, wherein (1) at least 30% of all the glial cells in the corpus callosum of the chimeric non-human mammal are human glial cells, and / or (2) at least 5% of all of the glial cells in the white matter of the brain and / or brain stem of the chimeric non-human mammal are human glial cells, and wherein the human glial cells comprise a combination of a first group of human glial cells tagged with a first label and a second group of human glial cells tagged with a second label that is distinguishable from the first label.

A method and system for de-noising evoked potential waveforms is provided. In a first aspect, a method includes receiving an auditory brainstem response (ABR) waveform set. The ABR waveform set includes evoked potential waveforms for each ear, stimulation level, and frequency. The method includes generating a set of de-noised waveforms by applying a dual tree complex wavelet transform (DTCWT) to the set of ABR waveforms and minimizing an error between each de-noised waveform and its corresponding ABR waveform, while: limiting a total amplitude of complex wavelet coefficients to an amplitude threshold; limiting the total magnitude of the difference between the complex wavelet coefficients at adjacent stimulation levels to a level threshold; and limiting the total magnitude of the difference between the complex wavelet coefficients at adjacent frequencies to a frequency threshold.

The invention relates to the technical field of food, and particularly discloses a composition for improving hearing impairment of middle-aged and elderly people and application. The composition for improving hearing impairment of middle-aged and elderly people provided by the invention comprises the following components: isomaltulose, nucleotide and resistant dextrin. According to the composition for improving hearing impairment of the middle-aged and elderly people, through the synergistic effect of all the components, the abundance of enterobacter can be reduced, the abundance of beneficial bacterium bifidobacterium in the intestinal tract can be improved, the auditory brainstem reflex threshold value under stimulation of different frequencies (4 kHz to 40 kHz) can be relieved, meanwhile, the content of active oxygen in the auditory cortex is reduced, and the hearing impairment of the middle-aged and elderly people is improved. Therefore, age-related hearing impairment is improved through ear-intestine axis bidirectional adjustment. The composition for improving hearing impairment of middle-aged and elderly people can be used for preparing products for improving hearing impairment of middle-aged and elderly people.

This application relates to the field of robotic arm control technology, and particularly to a brain-like control method and device for robotic arms based on spiking neural networks. The method includes: constructing a cerebellum module based on a spiking neural network to obtain initial torque commands for the target robotic arm; constructing a thalamus module based on the initial torque commands and adjusting the initial torque commands using the thalamus module to obtain final torque commands; constructing a brainstem module using the final torque commands to obtain feedforward torque; constructing a spinal cord module based on pulse coding and feedforward torque, and combining the cerebellum module, thalamus module, and brainstem module to construct a robotic arm control model to output torque control commands. This solves the problems in related technologies where, in complex working scenarios, the size and mass of the manipulated object significantly affect the working requirements of the robotic arm when performing different tasks, leading to reduced control accuracy and impaired versatility, making it unable to adapt to control tasks under complex load conditions.