86 results about "Brain cortex" patented technology

System and methods for introducing one or more stimulating drugs and / or applying electrical stimulation to the cortex of the brain to treat movement disorders uses at least one implantable system control unit (SCU), specifically an implantable signal / pulse generator (IPG) or microstimulator with two or more electrodes in the case of electrical stimulation, and an implantable pump with one or more infusion outlets in the case of drug infusion. In certain embodiments, a single SCU provides both electrical stimulation and one or more stimulating drugs. In some embodiments, one or more sensed conditions are used to adjust stimulation parameters.

The present invention describes a method and apparatus to localize the electrical signals measured from a subject's scalp surface, preferably in near-real time, and to generate dynamic three-dimensional information of the electrical activity occurring within the cerebral cortex of the brain. In the preferred embodiment, it can produce images that can be immediately inspected and analyzed by an operator in near-real time, resulting in a powerful new cortical imaging modality, which we denote as Dynamic Electrocortical Imaging (DECI). The present invention involves the use of a computer, an electroencephalographic (EEG) amplifier, EEG electrodes, and custom software. It can measure healthy and diseased cortical events and states in both conscious and unconscious subjects. This is useful, as it allows for the diagnosis, monitoring and treatment of cortical disorders, while also furthering the understanding of the human brain and lending use to additional non-medical applications such as in entertainment, education, lie-detection and industry. The invention in one embodiment is implemented using software in conjunction with readily available EEG hardware. Furthermore, this same method can be applied to pre-existing data and when doing so, EEG hardware is not required. Having a practical near-real time 3D imaging system brings a far more accessible technology to doctors, researchers, individuals, and private clinics to better diagnose, monitor, treat and understand many of the conditions and abnormalities of the brain.

Methods and apparatuses for estimating activation of cerebral cortical sources from scalp site measurements of electroencephalograms (EEG) from a human subject are provided. In an exemplary embodiment, a method comprises: specifying cortical neural sources within the brain of the subject; simulating activation potentials for the specified cortical neural sources; projecting the simulated cortical neural source voltage activations to scalp site measurements locations for the subject; simulating scalp voltage potentials for one or more extra-cranial sources outside the brain; constructing simulated scalp site voltage potentials from the projected simulated modeled cortical neural source voltage activations and the simulated extra-cranial scalp voltage potentials; comparing the simulated scalp site voltage potentials and the electroencephalograms scalp site measurements for the subject; and adjusting parameters for simulating the cortical neural source voltage activations until the simulated scalp site voltage potentials generally correspond to the electroencephalograms scalp site measurements based on the comparison.

The present invention is capable of separating / removing the influence of skin blood flow contained in near infrared spectroscopy (NIRS) signals and extracting a brain- or brain cortex-origin signal. Moreover, the present invention enables versatile separation of brain-origin and skin-origin signals in view of differences among individuals. A biological photometric device, wherein light transmitters and light receivers are located in such a manner that measurement can be conducted at a plurality of source-detector (SD) distances and light received by the individual light-receivers can pass through the gray matter to thereby separate a brain-origin signal and a skin-origin signal. Individual component analysis (ICA) is conducted on data obtained at the individual measurement points. Then, it is determined whether each individual component originates in the brain or in the skin with the use of the SD distance-dependency of the weighted value of each of the separated components.

The invention relates to the field of medicine technology and provides an injection for curing ischemic-reperfusion damage of brain, heart, kidney and other tissue organs. The preparation method includes placing a medical injection flexible bag under low pressure for degasification, carrying out low-temperature pretreatment after air extraction, then injecting hydrogen for pressurized dissolution and dissolving hydrogen in the injection and storing under constant pressure and about 4 DEG C for standby. The injection can be used after 24-hour stabilization. The animal experiment proves that the injection of the invention can reduce focal cerebral ischemic-reperfusion damage in rats, neuron injuries and apoptosis number, decrease the activity of apoptosis enzyme in pallium and hippocampus, reduce the ischemic-reperfusion damage extent of heart and kidney and protect the function of ischemic-reperfusion heart and kidney. The hydrogen-included injection can be used as the medicine for curing the ischemic-reperfusion damages of brain, heart, kidney and other important organs.

A method of identifying a spatial distribution of areas includes: a first step of determining a rough spatial distribution of at least one area in a sensory area of cerebral cortex in each of a left hemisphere and right hemisphere of the brain that is a target area of the identification; a second step of applying a sensory stimulus to the identification target area; a third step of obtaining brain activity information; and a fourth step of using the brain activity information to calculate one of a coefficient of cross-correlation, and coherence, between brain activity information of areas, assessing synchrony between the left and right hemispheres, and changing the spatial distribution determined in the first step.

A computer aided diagnostic system and automated method classify a brain through modeling and analyzing the shape of a brain cortex, e.g., to detect a brain cortex that is indicative of a developmental disorder such as ADHD, autism or dyslexia. A model used in such analysis describes the shape of brain cortices in terms of spherical harmonics required to delineate a unit sphere corresponding to the brain cortex to a model of the brain cortex.

In a method and an apparatus for measuring degree of neuronal impairment in brain cortex, scalp potentials or magnetic fields of a subject are measured by mounting a plurality of sensors on a head of the subject, the measured scalp potentials or magnetic fields are converted into numerical data to obtain a dipolarity at each sampling, mean values of squared errors, within a fixed time interval, between a scalp potential or a magnetic field by an equivalent dipole at a dipolarity peak emergence time and the measured scalp potentials or magnetic fields, or variances of the squared errors from the mean values are obtained for the sensors, and a contour concerning a distribution of the mean values or the variances on a scalp or a brain surface corresponding thereto is mapped as an output. Alternatively, the squares of potentials sensed by the sensors are averaged for several seconds, and variances of these mean values are obtained for numerous reference persons. The mean value and the standard deviation of the variances for a group of the reference persons are obtained, so that the variance of an individual subject is ranked depending on which area of the standard deviation of the group of the reference persons the variance is located. By allocating the values to a brain surface corresponding to the sensors, maps are prepared. By these maps, a local impairment degree of a neuronal function is indicated.

The invention discloses an intraoperative motion area function locating system based on electroencephalogram slow cortex potential wavelet analysis. The system is used for collecting a cortex electroencephalogram signal by implanting an electrode array. The cortex electroencephalogram signal is processed by an amplifying filter and then input to a signal processing module through an A / D (Analogue / Digital) converter. An electroencephalogram signal pre-processing unit of the signal processing module is used for pre-processing and filtering data collected by each electrode through a decomposition and reconstruction algorithm of wavelet analysis. An SCP (Slow Cortex Potential) signal characteristic extraction unit and a mode classification unit are used for extracting and classifying characteristics by adopting SCP-based signal characteristic extraction and a classification algorithm, identifying specific attributes of each electrode and finally processing and outputting a functional area locating image. The locating system disclosed by the invention is capable of accurately, rapidly and non-invasively detecting an electroencephalogram signal in a motion functional area and outputting a brain motion area function locating image. By means of the specific analysis of the cortex electroencephalogram signal of the brain motion area, the clinical application of the intraoperative functional location of the brain cortex motion area in a human-body nerve surgery is realized.

The invention relates to a traditional Chinese medicine composition for strengthening immunity and improving sleep as well as a preparation and a preparation method thereof. The composition is prepared from radix rehmanniae, ginseng, the root of red-rooted salvia, radix scrophulariae, white poria, Radix Polygalae, Fructus Schisandrae Chinensis, Chinese angelica, Cochinchnese Asparagus Root, ophiopogon root, platycladi seed and spine date seed according to the certain weight part ratio; under the certain matching condition, as an organism function regulating agent, the composition can remarkably coordinate and stimulate the immune system, promote the realization of health physique with normal in vivo microcirculation, radically enhance the individual immunity, increase defense capability of individual to stimulation and has body building effect; in addition, the traditional Chinese medicine composition also can adjust the excitement process of the central nervous system, and improve the adjusting function of the cerebral cortex, thus achieving the effects of reducing fatigue and improving sleep.

The invention provides an application of dicaffeoylquinic acid for the preparation of drugs of cerebral neuroprotection and the drugs can be used for curing ischemic strokes. The invention also provides a drug composite of cerebral neuroprotection. Drug effect tests and researches show that dicaffeoylquinic acid component is a new kind of effective ingredients which can protect cerebral nerve better, can both promote the survival of cerebral cortical neurons in vitro and the antioxidation and has a certain function of passing blood-brain barrier.

Systems, methods, and computer program products for classifying a brain are disclosed. An embodiment method includes processing image data to generate segmented image data of a brain cortex. The method further includes generating a statistical analysis of the brain based on a three dimensional (3D) model of the brain cortex generated from the segmented image data. The method further includes using the statistical analysis to classify the brain cortex and to identify the brain as being associated with a particular neurological condition. According to a further embodiment, generating the 3D model of the brain further includes registering a 3D volume associated with the model with a corresponding reference volume and generating a 3D mesh associated with the registered 3D volume. The method further includes generating the statistical analysis by analyzing individual mesh nodes of the registered 3D mesh based on a spherical harmonic shape analysis of the 3D model.

A subarachnoid pharmacodialysis apparatus insertable under the scalp, in and under the cranium, with a relatively short and simple neurosurgical procedure, to be kept there safely implanted for a year or longer for the purpose of regulating the neurochemistry of one or more diseased cerebral cortical areas and thus to achieve therapeutic effects via both localized delivery of medication and drainage of local neurotoxic molecules across the subdural meninges and compartments in a feedback-controlled fashion, with or without the additional capability of performing localized neurochemistry regulation in subcortical areas. This apparatus is also used for neurochemical profiling of the diseased brain area or areas by analyzing the removed endogenous molecules and adjusting the composition of the delivered medication based on the patient's specific, abnormal neurochemistry within the treated area or areas.

The present invention is capable of separating / removing the influence of skin blood flow contained in near infrared spectroscopy (NIRS) signals and extracting a brain- or brain cortex-origin signal. Moreover, the present invention enables versatile separation of brain-origin and skin-origin signals in view of differences among individuals. A biological photometric device, wherein light transmitters and light receivers are located in such a manner that measurement can be conducted at a plurality of source-detector (SD) distances and light received by the individual light-receivers can pass through the gray matter to thereby separate a brain-origin signal and a skin-origin signal. Individual component analysis (ICA) is conducted on data obtained at the individual measurement points. Then, it is determined whether each individual component originates in the brain or in the skin with the use of the SD distance-dependency of the weighted value of each of the separated components.

A method of commanding and controlling a mobile apparatus (wheelchair) based on the assimilation of visual parameter and brain activity data includes validating a desired position of gaze (the iris) in the environment using the physiological brain characteristics of the potentials mentioned in P300 and SSVEP. These supply a control unit and are used to assess the user's state of mental fatigue using an algorithm based on the theory of evidence. A unit detecting the user's emotional state is also implemented using the alpha and beta waves from the parietal, central and frontal region of the cerebral cortex and the user's heart rhythm. The assimilation between these two units makes it possible to define a mode of operation in real time: manual, semi-autonomous or autonomous, which corresponds to the user's emotional or fatigue states as well as the characterization of the environment (safe path, detection of obstacles, locked situation).

The neuronal activity in the brain of demented subject becomes non-uniform over the cortical surface and this non-uniformity is sensitively detected by properly analyzing observed scalp potentials. The present invention is related to the computer algorithm and apparatus for numerically detecting the degree of such neuronal degeneration. A proper frequency component of EEG is selected so that its scalp potential becomes smooth in a normal subject. When the brain function is impaired, non-uniformity of neuronal activity is detected in spatial as well as temporal fluctuations in the observed scalp potential of properly filtered EEG (usually the alpha component). The statistical parameters derived from dipolarity values of such a properly selected EEG component determine the state of the brain, in which whether the subject is normal or demented is Judged in the early stage of dementia by comparing the obtained parameters with their threshold values. This invention presents a reliable, inexpensive, easy-to-handle and non-invasive method for sensitive screening of dementia and monitoring progress of dementia which also allows optimizing medication and treatment for dementia.

The invention provides a phobia self-diagnosis and treatment system based on an artificial intelligence algorithm, and the system comprises an artificial intelligence voice interaction module which isused for carrying out the voice communication with a patient through voice exchange; a physiological information acquisition module which is used for acquiring physiological signals actively generated by the cerebral cortex of the patient; a physiological feature extraction module which is used for filtering the acquired physiological signals and removing tracks to obtain feature signals, and performing feature extraction on feature attributes based on a feature extraction algorithm; a machine learning module which is used for carrying out pattern recognition on the feature signals and the extracted features through a pre-trained machine learning model and feeding back a recognition result; and a virtual reality module which is used for reading an instruction of the feedback signal and adjusting and controlling a virtual reality scene. According to the invention, the artificial intelligence technology and the virtual reality technology are combined and applied, so that the system is more flexible, low in dependence on a psychiatry, diverse in control mode and capable of completing more complex tasks.

The invention relates to a method for segmenting a sulus basin on the surface of a pallium of a three-dimensional cerebral magnetic resonance image. The technical characteristics lie in that originally messy principle direction fields are dispersed on the surface of the triangularized pallium to generate a biggest smooth principle direction flow field. The core concept of the biggest principle direction dispersion is as follows: an energy function is minimized in the sulus and gyrus regions, wherein the absolute value of the maximum principle curvature is big and the generated biggest principle direction flow field is close to the original principle direction field; in other flat pallium regions, the generated biggest principle direction flow field changes smoothly. Compared with other methods, the method has the main advantage that the tracking method of the biggest principle direction flow field can fully utilize the geometry structure information of the surface of the pallium and can naturally form accurate boundaries among sulus basins although the sulus basins are possibly of asymmetrical structures.

A proper frequency component of EEG is selected so that its scalp potential becomes smooth in a normal subject. When the brain function is impaired, non-uniformity of neuronal activity is detected in spatial as well as temporal fluctuations in the observed scalp potential of properly filtered EEG (usually the alpha component). The statistical parameters derived from dipolarity values of such a properly selected EEG component determine the state of the brain, in which whether the subject is normal or demented is judged in the early stage of dementia by comparing the obtained parameters with their threshold values. This invention presents a reliable, inexpensive, easy-to-handle and non-invasive method for sensitive screening of dementia and monitoring progress of dementia which also allows optimizing medication and treatment for dementia.

The invention discloses a voice method and system capable of promoting auditory language cerebral cortex development of a premature infant. The voice method comprises the steps: S1, pure heart sound and mixed sound of the heart sound and voice of a mother of the premature infant are recorded; S2, the recorded sound is saved and processed to form intrauterine environment sound; and S3, the intrauterine environment sound saved in a cloud server is obtained and played. The voice method and system capable of promoting auditory language cerebral cortex development of the premature infant have the function of creating the uterine environment sound, a familiar intrauterine sound environment is created for the premature infant, and auditory language cerebral cortex development of the premature infant can be promoted.

The invention relates to a cerebral cortex surface uniform segmentation method based on a spectral clustering algorithm. The cerebral cortex surface uniform segmentation method comprises the followingsteps: firstly, reconstructing a triangularized cerebral cortex surface for structural nuclear magnetic resonance imaging data by utilizing Freesurfer software; secondly, modeling the surface of thecortex into an undirected graph composed of vertexes and edges according to topological information of the surface of the cortex, and constructing a sparse similarity matrix between vertexes of the cortex; and finally, realizing uniform segmentation of the cerebral cortex by using a spectral clustering algorithm. The method is mainly suitable for uniform segmentation of the cerebral cortex surfacegenerated by Freesurfer reconstruction, and a cerebral cortex segmentation map is provided for structure and function analysis. The method has the advantages that different levels of understanding ofcerebral cortex can be realized by setting different clustering numbers and combining functional connection and structural connection analysis; a relatively uniform segmentation map can be generatedby utilizing a local topological relation between vertexes; and the method can be converged to a globally optimal solution in a sample space of any shape.

The invention discloses an intraoperative motor area function localization system based on multi-mode electroencephalogram wavelet analysis, which collects cortex electroencephalogram signals by embedding an electrode array. The cortex electroencephalogram signals are treated by an amplification filter and output into an electroencephalogram signal pretreatment unit through an analog to digital (A / D) converter to perform resolving and reconfiguration of the wavelet analysis. Data collected by all electrodes are previously treated and filtered, the filter signals respectively pass through a mu rhythm feature extraction unit, a mu rhythm and short circuit protection (SCP) signal feature extraction unit and an SCP signal patter classification unit to be feature extracted and classified, and the filtered signals are classified in double-mode combination mode by a combination classification unit to recognize special properties of all electrodes to finally process and output motor area localization images. The intraoperative motor area function localization system based on multi-mode electroencephalogram wavelet analysis can accurately and quickly detect motor area electroencephalogram signals and output brain motor area function localization images without wound. Through specificity analysis on brain motor area cortex electroencephalogram signals, clinical application of function localization in brain cortex motor area operation of human neurosurgery is achieved.

The invention relates to an amblyopia vision increase treatment method and the system, which combines the modern visual physiology research results on the basis of the traditional after-image vision increase therapy, the invention can allow patients to organically integrate the direct stimulation of a characteristic light source on the vision and the indirect stimulation of the sound signal on the visual cortex by the eyes-hands-brain cortex combined space perception and the central vision fixation training actions on the light, sound, electric and data controlled technical lever, so as to strengthen the synchronous activities of the input cortex cells of the amblyopia eye, further to relieve the suppression of the vision on the brain cortex level, promote vision development and finally realize the effective treatment of amblyopia. The clinical observations of 2 years show that the improved after-image vision increase therapy is an amblyopia treatment method which is safe, reliable and good in efficacy, and the invention especially has the treatment effect which is significantly better than other methods for the non-center watch type and other refractory amblyopia. The system can not only greatly improve efficacy, but also improve the working conditions of the medical staff and enhance working efficiency.

The invention relates to a mixed-element terpene compound and an application thereof. The preparation method comprises the following steps: extracting and separating a Durimane Meroterpenoid compoundfrom fermentation liquor of South China Sea soft coral co-epiphytic fungi Alternanthera sp. The mixed-element terpenoid compound can effectively inhibit excitability of mouse primary cerebral cortex neurons, can relieve the stimulation effect of epilepsy inducer 4-aminopyridine on neurons, and can be used for development of neuroprotective drugs. The invention provides a lead compound and a novelactive skeleton for research and development of neuroprotective drugs, and is beneficial to development and utilization of marine medicinal resources.

The present invention is the use of decumbent corydalis total alkaloid extract as the medicine for preventing and treating vascular dementia (VD). Decumbent corydalis total alkaloid extract is used in rat and mouse VD models. It is found through the ethologic comparison that decumbent corydalis total alkaloid extract can raise the learning and memory capacity of VD model rat and mouse. It is also found through the determination on VD model rat in pallium AChE, SOD activity, ACh and MDA content that the said mechanism is related to lowering the pallium AChE activity, raising ACh content, improving choline nerve function, raising pallium SOD activity and reducing the peroxide damage of pallium nervus vascullaris. Therefore, decumbent corydalis total alkaloid extract may be used in preventing and treating VD.

The invention discloses a classification and identification method based on multi-modal multi-site data fusion. The method comprises the following steps: 1) acquiring multi-site sMRI and R-fMRI data; 2) preprocessing the sMRI data of each site to obtain an sMRI skull stripping brain image and a cerebral cortex surface model; (3) dividing the cerebral cortex into a plurality of different areas, and calculating dissection parameters such as the cortex average thickness, the cortex average surface area and the grey matter volume of each area; 4) inputting the sMRI skull dissection brain image into the ResNet3D deep network model to extract high-dimensional features; 5) fusing the extracted anatomical parameters and high-dimensional features to obtain one-dimensional vectors as sMRI data features; 6) preprocessing the R-fMRI data of each site to obtain a brain grey matter image; the multi-site data has the same or similar data distribution by adopting the method based on low-rank representation, so that the problem of multi-site data isomerism is solved or partially solved, the generalization of a diagnosis model is effectively improved, and actual requirements are better met.

The invention relates to a three-dimensional brain magnetic resonance image brain cortex surface maximum principal direction field diffusion method, which has the technical scheme that the method comprises the following steps: carrying out pretreatment and brain cortex surface reconstruction on three-dimensional brain magnetic resonance images; calculating the principal curvature, the principal direction and the differential coefficient of the principal curvature of a peak on the brain cortex surface; using an alpha-expanon graph cut method for minimizing an energy function to carry out diffusion on the maximum principal direction field; and projecting the diffused maximum principal direction field into a tangent plane. The invention has the advantages that: 1. the method sets the weights of smooth items and data items in different regions on the brain cortex surface into different values, so the inherent geometrical structure and discontinuity in the maximum principal direction field can be perfectly maintained; and 2. the principal direction field diffusion is regarded as an energy minimization problem which is converted into a diffusion marking problem, and the alpha-expanon graph cut method can be used for effectively working out the strong local optimum solution of the energy function.

A Chinese medicine for treating cerebellar atrophy and olivopontic atrophy is perpared from 9 Chinese-medicinal materials including Chinese angelica root, astragalus root, tangerine peel, liquorice root, etc.

The invention relates to a diagnosis device, diagnosis equipment and a diagnosis system for a brain injury condition, which are used for carrying out auxiliary diagnosis on a neonatal hypoxic ischemic brain injury condition. The diagnosis device comprises an acquisition module which is configured to acquire near-infrared data of a neonatal subject in a target area of a cerebral cortex in a resting state acquired by near-infrared spectrum detection equipment; a network construction module which is configured to construct a brain function network based on the near-infrared data; an extraction module which is used for extracting detection indexes based on a brain function network, wherein the detection indexes comprise a central node index, a local network efficiency index and at least one of a small world attribute index and a modular index, and the central node index represents the brain development condition of the newborn subject; and the local network efficiency index is defined as that a newborn with hypoxic-ischemic brain injury shows higher local network efficiency than a healthy newborn; and a prediction module which is used for predicting the hypoxic-ischemic brain injury condition of the neonatal subject based on the detection indexes.