39 results about "Temporal lobe" patented technology

A method of classifying a test subject comprises collecting imaging data for a plurality of training subjects, control subjects and a test subject. An intensity volume of interest (VOI) and a spatial VOI are selected from said imaging data. Training intensity data and spatial data are calculated for the intensity and spatial VOI. A statistical model can then be created based on the training intensity data and training spatial data to provide a universe of subjects. Control intensity data and spatial data are also calculated for the intensity and spatial VOI. A classifier can then be built dividing the universe into at least two regions. The test subject data can then be applied to the classifier to provide a determination of whether said test subject falls within the first region or the second region. The condition can be a neurological disease state such as temporal lobe epilepsy or Alzheimer's dementia.

Methods for measuring atrophy in a brain region occupied by the hippocampus and entorhinal cortex. In one example, MRI scans and a computational formula are used to measure the medial-temporal lobe region of the brain over a time interval. This region contains the hippocampus and the entorhinal cortex, structures allied with learning and memory. Each year this region of the brain shrank in people who developed memory problems up to six years after their first MRI scan. The method is also applicable for measuring the progression rate of atrophy in the region in an instance where the onset of Alzheimer's disease has already been established.

A cranial orthosis is contoured to match the curvature of the fronto-temporal, parietal and occipital areas of an infant's cranial vault to provide protection against the acquisition of postural cranial deformities as a result of the infant's sleeping in the supine position. The orthosis is designed to be of universal fit, as determined by the infant's fronto-occipital head circumference (FOC) measurement. Moreover, the interior dimensions of the orthosis can be enlarged to accommodate growth of the infant's head without requiring replacement. The orthosis is a molded plastic appliance in the form of a shell, headband or helmet having interior surfaces that are smoothly contoured to conform in shape to the surface curvature of the occipital, temporal and parietal areas of a healthy human infant having normal cranium size, shape and symmetry. The cavity is sized to provide a close, non-interfering fit of the conformed interior surfaces in facing relation to the occipital, fronto-temporal and parietal areas of the infant's cranial vault, thereby allowing the the infant's head weight forces to spread substantially uniformly across one or more of the conformed interior surfaces while the infant is resting on a sleep surface in the supine position.

A method for determining the Braak stage of neurofibrillary degeneration associated with a tauopathy in a subject having neurofibrillary degeneration is disclosed. The method comprises the steps of (i) administering to the subject a conjugated, chelated or detectable chemical group-associated ligand that labels aggregated paired helical filament (PHF) tau protein and is capable of crossing the blood brain barrier; (ii) determining the presence and\or amount of ligand bound to extracellular aggregated PHF tau in the medial temporal lobe of the brain of the subject, and (iii) correlating the result of the determination made in (ii) with the extent of neurofibrillary degeneration in the subject. Preferred ligands include sulphonated-benzothiazole-like compounds and diamonophenothiazines.

The invention discloses a magnetoencephalogram source locating device based on sensor array decomposition and beam forming. The device comprises a magnetoencephalogram sensor and a locating unit, the locating unit comprises an iterative decomposition module of a sensor array, a vector beam forming estimator module and a depth source locating and calculating module; the iterative decomposition module of the sensor array uses the iterative CP (CANDECOMP / PARAFAC) matrix decomposition method to reconstruct MEG sensor array signals; the vector beam forming estimator module uses reconstructed sensor array signals and second order statistical magnitude of samples to estimate the covariance matrix of the population; the depth source locating and calculating module estimates the location of a deep brain source by using the minimum variance optimization criterion of projection vectors. The technical scheme is less affected by the noise and interference of the sensor signals, the locating precision of the depth source is very high, and the method of finding the lesion area for epileptic patients of the origin of the medial temporal lobe can be better improved.

A method of classifying a test subject comprises collecting imaging data for a plurality of training subjects, control subjects and a test subject. An intensity volume of interest (VOI) and a morphological VOI are selected from said imaging data. Training intensity data and morphological data are calculated for the intensity and spatial VOI. A statistical model can then be created based on the training intensity data and training spatial data to provide a universe of subjects. Control intensity data and spatial data are also calculated for the intensity and spatial VOI. A classifier can then be built dividing the universe into at least two regions. The test subject data can then be applied to the classifier to provide a determination of whether the test subject falls within the first region or the second region. The condition can be a neurological disease state such as temporal lobe epilepsy or Alzheimer's dementia.

One aspect of the invention provides a method of predicting a seizure in a subject comprising: (a) recording single neuron activity for a plurality of interneurons within the subject's mesial temporal lobe; (b) recording local field potential (LFP) within the subject's mesial temporal lobe; (c) measuring interneuron synchrony within the subject's mesial temporal lobe; and (d) detecting a pattern of interneuron activity and interneuron synchrony within the subject's mesial temporal lobe associated with an increased likelihood of a seizure. Another aspect of the invention provides a method for preventing a seizure in a subject comprising: (a) performing any one of the methods described herein; and (b) upon detection of the pattern, administering a therapeutically effective intervention to the subject to prevent onset of a seizure. Another aspect of the invention provides a non-transitory computer readable medium containing computer-readable program code including instructions for performing any of the methods described herein.

Methods for measuring atrophy in a brain region occupied by the hippocampus and entorhinal cortex. In one example, MRI scans and a computational formula are used to measure the medial-temporal lobe region of the brain over a time interval. This region contains the hippocampus and the entorhinal cortex, structures allied with learning and memory. Each year this region of the brain shrank in people who developed memory problems up to six years after their first MRI scan. The method is also applicable for measuring the progression rate of atrophy in the region in an instance where the onset of Alzheimer's disease has already been established.

The diagnosed soft tissue or brain injury component of concussions is generally defined by the symptoms of the temporal lobe manifestations. However, there is an undiagnosed structural fractured component of concussions occurring within the jaw joint complex which is the focus of this invention. A precise imaging technique and the powerful 3D Cone beam scanning technology, together, have revealed fractures in temporal bones of the jaw joint space which supports the temporal lobe of the brain. These fractures are the results of the lower jaw impact forces that cause concussions and this mechanism account for a large percent of the concussions arising in sports and military operations. These fractures have never been considered, diagnosed, or treated in the management of concussions. Fracturing temporal bones in the jaw joint that supports the temporal lobe will certainly produce the symptoms of temporal lobe manifestations. With early detection, these fractures can be more rapidly healed, eliminating many temporal lobe symptoms of concussions. The device of the present invention reduces the risk of the lower jaw impact concussion and temporal bone fractures, while enhancing the ability to speak and orally communicate.

The invention provides a rhesus monkey temporal lobe epilepsy kindling model. In the model, coriamyrtin with the subthreshold seizure dose of 0.5 ml / kg is applied in rhesus monkey, and the effect of 1ml of coriamyrtin injection is equivalent to that of 6.7g of raw material medicine Chinese coriaria leaf. The invention also provides a method for screening drugs for curing temporal lobe epilepsy. The method of the invention has the following advantages: the method is simple to establish and easy to operate and repeat, does not cause mechanical damage on the brain, has short seizure time, etc. The model of the invention resists the classical antiepileptic drug carbamazepine, thus the model can be used in the research on the pathogenesis of the temporal lobe epilepsy and the research on the development of new antiepileptic drugs.

The invention provides a cerebral-palsy-based temporal lobe epilepsy animal model and a preparation method thereof. The method includes the steps that after a single-side-neck total arterial ligation operation is carried out on a young animal and hypoxia is conducted for 2-3.5 hours, the animal returns to a female mouse and bred for 3-5 w, pilocarpine is injected into the abdominal cavity of the survival animal to induce a Racine standard epilepsy of the fourth stage or above, and the cerebral-palsy-based temporal lobe epilepsy animal model is obtained. The animal model is simple in establishment method and high in survival rate, the survival rate is 70% or above, and the model animal is damaged in learning and long-term memory function and is free of damage of short-term memory. Electroencephalograms can be used for clinic attack epilepsies besides finding abnormal situations of the electric attack, namely the brain waves, without clinical attack, can be widely applied to treatment of curative effects of different treatment methods on cerebral palsy child patients with the temporal lobe epilepsy, and especially can be used for evaluating the curative effects of temporal lobe epilepsy child patients with cerebral palsy which causes cognitive impairment.

A Hardware architecture for an accelerated artificial intelligence processor includes: a main engine, a front lobe engine, a parietal lobe engine, a renderer engine, a pillow engine, a temporal lobe engine and a memory. The front-lobe engine obtains 5D tensor from the host and divides it into several sets of tensors, and sends these sets of tensors to the top-lobe engine. The front-lobe engine obtains 5D tensors from the host and divides them into several sets of tensors. The top engine acquires a set of tensors and divides them into a plurality of tensor waves, sends the tensor waves to the renderer engine to execute an input feature renderer, and outputs a portion of the tensors to the pincushion engine. The pincushion engine accumulates a partial tensor and executes an output feature renderer to obtain a final tensor sent to the temporal lobe engine. The temporal lobe engine compresses the data and writes the final tensor to memory. The artificial intelligence work in the inventionis divided into a plurality of highly parallel parts, some parts are allocated to an engine for processing, the number of engines is configurable, the scalability is improved, and all work partitioning and distribution are realized in the architecture, thereby obtaining high-performance efficiency. The artificial intelligence work in the invention is divided into a plurality of highly parallel parts, and some parts are allocated to an engine for processing, and the number of engines is configurable, and the scalability is improved.

The invention discloses a wireless multi-brain-region brain blood oxygen wearable detection system and method. The system comprises a collector and a plurality of probes, wherein the plurality of probes communicate with the collector through cables; the probes include prefrontal lobe brain region probes covering the left side and the right side of the brain and any brain region probe or a combination of multiple brain region probes of occipital lobe brain region probes, parietal lobe brain region probes and temporal lobe brain region probes covering the left side and the right side of the brain; the plurality of probes are correspondingly attached to divided functional brain regions; the probes are driven and controlled to emit detection light to the corresponding brain regions; the probessimultaneously receive the emitted detection light of the functional brain regions, and collect brain blood oxygen signals of the brain regions; and the collected brain blood oxygen signals of the brain regions are processed to obtain brain blood oxygen collection information of the brain regions. Through simultaneous detection of the multiple brain regions, the brain regions of partial anteriorcirculation cerebral infarction and posterior circulation cerebral infarction can be covered, and the limitation that only the anterior circulation infarction of the brain can be reflected is overcome.

The invention discloses an autistic child emotion and social function rehabilitation treatment device. The autistic child emotion and social function rehabilitation treatment device comprises electronic plane table equipment for entertainment of a child patient and further comprises a low-frequency bioelectric stimulating mechanism. The low-frequency bioelectric stimulating mechanism comprises a low-frequency bioelectric generator, a first head stimulating adhesive part, a second head stimulating adhesive part and a pair of voice frequency earphones used for playing voices of the electronic plane table equipment. The voice frequency earphones are provided with stimulating shells attached to auricular concha cavity areas of the child patient. The stimulating shells of the voice frequency earphones are provided with ear biological low-frequency bioelectric stimulating electrodes used for stimulating the auricular concha cavity areas. The first head stimulating adhesive part is provided with a forehead scalp bioelectric stimulating electrode used for stimulating a prefrontal lobe body surface area. The second head stimulating adhesive part is provided with a tempus bioelectric stimulating electrode used for stimulating a temporal lobe body surface area.

The invention discloses a traditional Chinese medicine preparation for treating radioactive cerebral type encephalomyelopathy. The radioactive cerebral type encephalomyelopathy is caused by temporal lobe injuries by external irradiation in the traditional Chinese medicine, and has symptoms of reoccurring headaches, dizziness, sleepiness and memory deterioration. Syndrome differentiation in traditional Chinese medicine is kidney deficiency and essence depletion, and malnutrition of brain. The traditional Chinese medicine preparation is prepared by selecting the following traditional Chinese medicines with the effects of reinforcing kidney to replenish essence, improving brain and inducing resuscitation, namely triplostegia glandulifera, oriental waterplantain fruits, cauda cervi, boxthorn leaf, thinleaf adina fruit, medical angiopteris rhizome, root of shrubberry rhodiola, many-nerved bauhinia leaf, fruit of chinese holly and mint. According to the clinical test in the hospital, the traditional Chinese medicine preparation is remarkable in curative effect, and has the total effective rate of 94.7% which is obviously higher than that of a control group. Moreover, the traditional Chinese medicine preparation is free of toxic and side effect, low in treatment cost and worthy of clinical popularization and application.

The invention relates to an application of 17-allylamine-17-demethoxygeldanamycin in preparation of medicine for treating epilepsy, wherein preferably, epilepsy is intractable epilepsy, and more preferably is temporal lobe epilepsy which is ineffectively treated by medicines. According to the invention, 17-allylamine-17-demethoxygeldanamycin is realized by up regulation of G1t1 protein in brain tissue. 17-allylamine-17-demethoxygeldanamycin is employed for effectively treating temporal lobe epilepsy which is ineffectively treated by medicines, simultaneously, other physiological states of a subject can not be influenced during a treatment period.

The invention discloses an animal memory search behavioral experiment device and method. The device comprises a shell, a control shading plate, an execution shading plate, detecting components, a plurality of control turning plates, a plurality of support turning plates and a control component and is characterized in that the an experiment cavity and a food cavity are arranged in the shell in a partitioned manner, a control cavity and an execution cavity are arranged in the experiment cavity in a partitioned manner, the bottom wall of the control cavity is provided with a plurality of controlfood taking ports, the bottom wall of the execution cavity is provided with a plurality of food taking ports, the shell is provided with two hand-stretching openings which respectively correspond to the control cavity and the execution cavity, the execution shading plate is slidably arranged on the shell, each control turning plate corresponds to one control food taking port, and each support turning plate corresponds to one execution food taking port. The behavioral experiment device can well quantify the animal memory search behavioral ability so as to accurately analyze the function of thecorresponding brain-area temporal lobe.

The embodiment of the invention provides an epilepsy data statistical method and device, and relates to the technical field of data processing. The method comprises the steps: obtaining a temporal signal and a functional connection diagram used for representing the brain activity of the subject; determining the functional feature vector of the brain activity according to the functional connectiondiagram and a functional calculation neural network model and determining the temporal feature vector of the brain activity according to the temporal signal and a temporal calculation neural network model; determining the body state of the subject according to the temporal feature vector and the functional feature vector; and updating the health status to the corresponding health status set of thesubject set and obtaining the proportional data of the health status, the temporal lobe epilepsy status and the drug sensitive epilepsy status of children in the updated health status set. Automaticstatistics and updating of the incidence of epilepsy can be performed through more flexible automatic analysis of the temporal signal and the functional connection diagram for representing the brain activity of the subject.

The invention belongs to the technical field of medical model construction, discloses a three-dimensional modeling method for sectional image anatomy of human striatum and hippocampal formation, in which 100 healthy adults without obvious neuropsychiatric disorders and 100 patients with Parkinson's disease, temporal lobe epilepsy and Alzheimer's disease are selected to obtain high-resolution three-dimensional images of the whole brain in horizontal position. The anatomical structures of striatum and hippocampus are measured by stereological quantitative analysis. The data of human striatum andhippocampus measured by MRI are statistically analyzed by SPSS 13.0 software, and the tomographic images are imported into Mimics software to build three-dimensional model of MRI data. The inventiondiscloses the relationship between the striatum and the hippocampal formation, which is explained from three aspects of the normal healthy human body, the disease and the comparison between the normaland the disease, so that the result is more objective, comprehensive, accurate and the data is more convincing.

The invention discloses a temporal lobe sketching method and sketching system based on a multi-modal image, a computing device and a storage medium, and the method comprises the steps: collecting a preset number of CT brain images and T1 MRI brain images, and making a temporal lobe segmentation label of each T1 MRI brain image; performing preprocessing, registration transformation and image cutting on the CT brain image, the T1 MRI brain image and the temporal lobe segmentation label; taking the cut CT brain image and the T1 MRI brain image as network input, taking the cut temporal lobe segmentation tag as network target output, training in a semantic segmentation convolutional neural network until the model is stably converged, stopping training, and obtaining an optimal temporal lobe segmentation neural network model; and inputting an image to be segmented into the trained temporal lobe segmentation neural network model to obtain a temporal lobe automatic segmentation result of the corresponding CT image, and performing post-processing and edge detection on the temporal lobe automatic segmentation result to obtain a temporal lobe sketching result.

The invention discloses an intervention method for transcranial alternating current stimulation. The method specifically comprises the following steps of (1) recording the electrical activities of a frontal lobe and temporal lobe on the right side of the brain through an electroencephalogram recorder, and placing a recording electrode at scalp of the frontal lobe and the temporal lobe of the rightbrain of an individual for searching the frequency corresponding to the maximum amplitude wave of an alpha waveband of the individual; and (2) simultaneously stimulating the frontal lobe region and the temporal lobe region of the right brain by using recorded alternating current waveforms with the same frequency through transcranial alternating current stimulation, so that the electrical activities of the two brain regions in the alpha wavebands are synchronized. The method has the beneficial effects that the condition of brain interval synchronism disorder of brain sub-health people is improved by enhancing the synchronism between specific regions of the brain network, so that the functions of improving anxiety, depressive emotion and frontal lobe related cognitive competence are achieved.

The invention provides a wearable pulse modulation magneto-acoustic stimulation device for improving cognitive impairment of old people, which is a head-mounted portable magneto-acoustic stimulation rehabilitation assistive device and comprises a coil, a loudspeaker, a head sleeve, a power supply, a voltage converter, a relay, a controller, an audio module, a cable and a strap. The system generates a subthreshold low-intensity pulsed magnetic field of a gamma frequency band and a modulated sound signal of a theta frequency band, and compared with single magnetic stimulation, magnetoacoustic coupling can improve the effectiveness of nerve regulation and control. The low-intensity pulsed magnetic field acts on the frontal lobe, the low-frequency modulated sound signal acts on the temporal lobe, and the magnetic stimulation and the sound stimulation coordinate to adjust neural activity, so that the inhibited electroencephalogram signal of the gamma-frequency band of a patient is enhanced, the electroencephalogram activity of the theta-frequency band is recovered to be normal, and the cognitive disorder is improved. The system can be used by a patient independently or with the help of other people, the problem that the patient is inconvenient to see a doctor is solved, and the system is a novel home nursing technology and a novel device which are safe, efficient, portable and wearable.

The invention relates to a hood for electrical stimulation, which comprises a hood connected to the front part of the original head of an automobile seat, and is characterized by further comprising an electrode part capable of covering the temporal lobe area of the head of a driver, an electrode fixing part connected to the hood and connected with the electrode part to fix the electrode part, and a steering wheel provided with two flexible pole pieces connected to the left end and the right end of the steering wheel respectively and an embedded chip. Compared with the prior art, when a driver holds the two sides of the steering wheel body, the two palms need to make contact with the flexible pole pieces on the two sides at the same time for a period of time or longer, the duration time needs to be manually set, an electrocardio detection module in the embedded chip converts an electric signal transmitted by the flexible pole piece into a required electrocardio signal, the electrocardio signal is input into a neural network module to judge the mental state, such as anxiety or non-anxiety, and then a 40Hz alternating current electric signal is output to an electrode part to relieve the emotion of a driver.

The embodiment of the present application provides a method and device for statistics of epilepsy data, which relate to the technical field of data processing. The method includes: obtaining time-series signals and functional connection diagrams used to represent brain activities of the subject; determining the functional feature vectors of the brain activities according to the functional connection diagrams and the functional computing neural network model, and determining the functional feature vectors of the brain activities according to the Time series signal and time series calculation neural network model, determine the time series feature vector of the brain activity; determine the physical state of the subject according to the time series feature vector and the function feature vector; update the health status to the subject In the health status set corresponding to the test subject set, the proportion data of health status, temporal lobe epilepsy status and childhood drug-sensitivity epilepsy status in the updated health status collection were obtained. It can be more flexible and automatically update the incidence of epilepsy through the automatic analysis of the time-series signals and functional connection diagrams representing the brain activities of the subjects.

The invention provides a portable magneto-optical stimulation device for improving cognitive impairment of Alzheimer's disease, which is head-mounted and comprises a magnetic field coil, a coil bracket, an LED light source, a light source bracket, a bracket shaft, a power supply and signal two-in-one wire, a rechargeable power supply, a master controller, a magnetic field coil driver and an LED light source driver. The device can generate a pulsed magnetic field and a pulsed light signal with the frequency of 4 Hz to 90 Hz, can tune and enhance a gamma frequency band and a theta frequency band of brain waves of a patient suffering from the Alzheimer's disease, and can simultaneously regulate and control nerve excitability of different functional brain areas of temporal lobe and occipital lobe by simultaneously performing magnetic stimulation and light stimulation. On the basis of interaction of neuroplasticity and a functional brain region neural network, cognitive-related multifunctional brain region neural activities are synergistically enhanced, and the function of improving the learning and memory cognitive ability of a patient is achieved. The device is similar to an earphone in appearance, is small and light, is convenient for a patient to wear, does not affect daily actions of the patient, and can realize two treatment modes of hospitalization and home use.

The invention discloses a wearable emotional state recognition device and method based on electroencephalogram signals, relates to the technical field of electroencephalogram signal analysis, and aims to improve the accuracy of electroencephalogram signal acquisition and analysis. The wearable emotional state recognition device based on the electroencephalogram signals comprises a collection electrode module with a headband as a carrier, a host module, an upper computer and an emotion indication module, wherein the host module is used for carrying out preprocessing and communication on the electroencephalogram signals; and the upper computer is used for analyzing the electroencephalogram signals. When the wearable emotional state recognition device based on the electroencephalogram signals is in a user wearing state, the eight collection electrodes make contact with two positions of the frontal lobe, four positions of the temporal lobe and two positions of the occipital lobe of the head of the human body in a one-to-one correspondence mode. The wearable emotional state recognition device based on the electroencephalogram signals provided by the technical scheme is applied to the emotion classification method.

The invention provides a brain network connectivity detection method and device. The method comprises the following steps: collecting brain temporal lobe region electroencephalogram channel data of a user to be detected; wherein the brain temporal lobe region electroencephalogram channel data is resting state data and comprises four-channel data; performing cross-brain region phase synchronization information transfer calculation on the four-channel data through a weighted phase lag index algorithm and a symbol transfer entropy algorithm to obtain a first data set; and obtaining a preset second data set, establishing a connectivity detection model, training the model until convergence, and inputting the first data set into the converged model to obtain a detection result. Compared with the prior art, the resting state data of the brain is adopted, the data acquisition time is shortened, and the method is suitable for multiple application scenes; the function connectivity of the brain can be obtained only through four-channel data, and the data volume needing to be processed is reduced; functional connection states and connection information are quantified, anti-interference performance and robustness are enhanced, and detection accuracy is effectively improved.

Provided are a feature recognition system and method for electroencephalogram signals. The method comprises the following steps: utilizing four conduction electrodes of a temporal area above ears to collect original brain electrical signals in different emotion states of different people and forming a sample set; obtaining electroencephalogram feature data from the sample set by pre-processing and extracting features; carry out smoothing operation on electroencephalogram feature data to obtain a training sample used for training a support vector machine so that an emotion recognition classifier is obtained. The feature recognition system and method for electroencephalogram signals have the following beneficial effects: under the premise that acquisition cost and complexity of electroencephalogram are greatly reduced, the feature recognition system and method can maintain higher emotion recognition accuracy and provide useful reference on emotion recognition by wearable equipment.