54 results about "Brain activation" patented technology

Means is provided for generating a vibration or a vibration signal, which contains audible range components that are vibration components in the audible frequency range and super-highfrequency components within a range exceeding the audible frequency range up to a predetermined maximum frequency, and which has an autocorrelation order represented by at least either one of a first property and a second property. By applying the vibration or an actual vibration generated from the vibration signal to a human being, a fundamental brain activation effect for activating the fundamental brain network system constituted of a fundamental brain including the brain stem, thalamus and hypothalamus that are regions to bear the fundamental function of the human being and the fundamental brain network of neuronal projection from the fundamental brain to various brain regions is introduced.

The invention discloses a method for constructing effective connectivity in a brain region based on nuclear magnetic resonance imaging. The method comprises the following steps of: performing generalized linear model analysis on data acquired by preprocessing a functional magnetic resonance imaging (fMRI) image, and extracting a brain activation region; selecting a region of interest according to the brain activation region, and extracting a corresponding time sequence; according to the acquired time sequence, establishing a multivariate autoregression (MVAR) model, and calculating to acquire an effective connectivity matrix; and performing single sample T inspection on the effective connectivity in the effective connectivity matrix by a substitution data method, and eliminating multi-comparison by a false discovery rate (FDR) method to acquire the remarkable effective connectivity in the brain region.

The present invention includes systems and methods of using real-time neurofeedback to improve the correspondence between first-person experience and specific brain activation patterns in a manner that minimally affects the experience itself. The present invention provides meditators the ability to enhance their control over their own brain activity, such as posterior cingulate cortex (PCC) activation. The present invention also provides methods for treating a disease or disorder of a subject by measuring the subject's brain activity via fMRI, presenting a representation of the measured brain activity to the subject, and instructing the subject to reduce the represented brain activity by altering their meditative state. The present invention also provides a system and method of using fMRI neurofeedback to directly correlate subjective experience with neural activation.

An image generating methodology for displaying brain activation areas with improved accuracy in a living body light measurement system for generating an image of the changes in blood volume of the brain. A spatial intensity distribution of changes in blood volume can be generated by detecting brain activation in many sampling points, and a spatial interpolation process is executed on this data. A threshold process is executed on the distribution to extract the distribution of coordinates having a signal intensity of at least the predetermined threshold. The displacement between the brain activation area and the maximal location of the distribution is stored in a recording unit of the system in order to compensate for the distribution extracted by the threshold process. Accordingly, brain activation areas can be estimated with greater location accuracy, and the diagnosis and medial treatment for brain diseases can likewise be executed with greater accuracy.

A method and apparatus are disclosed that automatically interject brain activations into video imaging activities or other activities of daily living. During a video game, for example, an interrupt causes a pause in the game and a commencement of an activity involving but not limited to bilateral portions of the body, the peripheral vision of the game-player, and a visual pursuit-type and saccadic-type action on the video screen. Alternatively, the brain activation can be merged into the content of the video game so as to be generally indistinguishable to the user. Automatic feedback from the system encourages more frequent brain activations when performance is determined to be diminished and less frequent brain activations when performance is determined to be enhanced. The combination of events in the activity is believed to engage the frontal lobes of the brain as well as other brain structures and stimulate brain health.

The present invention relates to a method for measuring human intelligence using a neurobiogical model. The invention provides a method which enables neurometric IQ to be measured by processing the MRI and fMRI images of subjects to determine cortical thicknesses and brain activation levels, determining structural IQ (sIQ) and functional IQ (fIQ) from the cortical thicknesses and the brain activation levels, and using the structural IQ (sIQ) and the functional IQ (fIQ) as predictors to measure the neurometric IQ of the subject. According to the present invention, the concept of a neurometric IQ (nIQ) model is established and can assist in easily assessing individual differences in general cognitive ability. These results suggest that general cognitive ability can be explained by two different neural bases or traits: facilitation of neural circuits and accumulation of crystallized knowledge.

The invention discloses a data analyzing method based on an fMRI brain activation data warehouse. The method includes the following steps that a basic framework of the fMRI data warehouse is built, data extraction is carried out, and dimensions and a fact table are introduced; data processing and multi-dimensional analysis are carried out. Basic principles and technologies of the data warehouse are used for secondary processing of data in brain activation researches, and a multi-dimensional analysis technology is introduced into analysis and processing of result data of brain activation, so that secondary analysis, processing and integration can be carried out, new rules are found, and deep mechanisms of advanced brain activities are disclosed. Accordingly, scattered brain function imaging data and results in the prior art can be used orderly.

The invention discloses an establishment method for an FMRI brain activation data warehouse. The method comprises the step that the establishment method for an FMRI data warehouse model is designed based on the mining function of the FMRI data warehouse model. The new technology is introduced, secondary analysis, processing and integration are performed on data, so that a new law is found, the deep mechanism of advanced brain activities is disclosed, and existing scattered brain function imaging data and results can be applied orderly. With the continuous development and improvement of the data warehouse, the services should also break through the management and decision-making range to extend towards other fields. In the face of the new requirements of brain function imaging studying, all the multiple functions, such as deep data mining, multi-dimensional analysis, dynamic inquiry and the like, of the data warehouse can be used as powerful tools, and a brand-new method is provided for brain function imaging studying.

The invention discloses a fabric tactile sensation quantitative evaluation and recognition system based on a multi-mode brain-computer interface, and relates to the technical field of fabric evaluation. The system comprises an electroencephalogram collecting cap, a near-infrared brain function imager, a sample table, a processing module and a display module. The invention discloses a fabric tactile sensation quantitative evaluation and recognition system based on the multi-mode brain-computer interface, by which the touch sensation texture electroencephalogram signals and the blood oxygen concentration when a human body touches the fabric can be acquired in real time; the processing module is used for analyzing and extracting characteristic parameters and obtaining the brain activation degree, the characteristic parameters and the brain activation degree are combined, the quantitative evaluation of touch sensation such as fabric comfort and smoothness is achieved, and the recognition of the fabric is completed by comparing and classifying the touch sensation with electroencephalogram characteristic parameters of different fabrics. The evaluation and recognition system can reflect the real tactile sensation reflection of the brain of the human body, objectively achieves the quantitative evaluation of the tactile sensation of the fabric by people, improves the accuracy and objectivity of evaluation, and reduces the number of processing channels.

The invention relates to a traditional Chinese medicine preparation, in particular to a compound brain activation and comfort capsule and a quality control method thereof. The method comprises one of the following steps or some of the following steps: (1) ginseng authentication, (2) medlar authentication, (3) Salvia miltiorrhiza authentication, (4) total nitrogen content measurement, (5) amino nitrogen content measurement and (6) shizandra berry content measurement. In the Salvia miltiorrhiza authentication process, positions on a chromatogram of a tested sample, which correspond to the positions on a chromatogram of a contrast sample show spots with same colors; in the total nitrogen content measurement process, the nitrogen (N) content of each capsule is no less than 15 mg; in the amino nitrogen content measurement process, the amino nitrogen content of each capsule is no less than 1.0 mg; and in the shizandra berry content measurement process, the shizandra berry content counted as shizandra berry schizandrin (C24H32O7) of each capsule is not less than 30 microgrammes. The quality control method has more quality control items so as to better control the quality of the product and effectively supervise the production, is beneficial to the supervision of the quality of the product and ensure the stability of the quality of the product and the safety of patients taking medicine.

Disclosed is an system for measuring mood states, which calculate and views high-accurate mood indices from brain activation signals obtained by a non-invasive biospectrometric technology, taking account into differences among individuals, for example cognitive capacity using methods supporting the measurement of mood states of individuals. The system of the present invention stores a plurality of different mood index calculation formulae, selects one of the plurality of mood index calculation formulae based on a personal trait, for example the working memory task performance or working memory capacity of a subject, and substitutes the brain activation data of the subject for the selected calculation formula to calculate and view mood indices.

The invention belongs to the technical field of brain science cognition, and particularly relates to a near-infrared spectroscopy detection method of an ambient light modulated brain cognition function. According to the method, functional near-infrared spectroscopy (fNIRS) is utilized, a classical paradigm Stroop of cognitive behavioral psychology is combined, and the influence of ambient light change on the cognitive function of a human brain is explored for a prefrontal cortex (PFC) area with high correlation with the cognitive function of the human brain; The near-infrared spectroscopy detection method comprises the steps of designing an experiment environment; designing psychological Stroop experiment stimulation rules; designing an experiment process; building an experiment system; configuring a detection channel; combining a Stroop psychological test method with the fNIRS for testing; and finally, carrying out fNIRS data processing. Brain activation area images under different illumination conditions are obtained, and brain area channels with significant difference (P is smaller than 0.05) under different illumination conditions are obtained through t test, which proves thatthe channels are activated due to ambient light change.

The invention discloses a composition for protecting nervous system, improving memory and preventing senile dementia. The composition comprises the following components in parts by weight: 29-38 parts of xylitol, 16-22 parts of DHA algae oil, 3-5 parts of phosphatidylserine, 2-8 parts of gamma aminobutyric acid, 9-13 parts of tangerine pericarp, 8-11 parts of corn flour, and 20-26 parts of Kiwi powder. The composition has the advantages that the DHA algae oil contained in the composition can promote brain growth, and prevents brain function degradation due to increase of age, phosphatidylserine has the functions for alleviating brain balance and adverse emotion, the gamma aminobutyric acid has the functions for promoting brain activation, invigorating brain and developing intelligence, resisting epilepsy, promoting sleep, delaying brain aging function, and supplementing human body inhibitory neurotransmitter, so that the composition has the effects for protecting nervous system, improving memory and preventing senile dementia.

The invention discloses a brain function registration method based on a graph model, and the method comprises the following steps: mapping high-dimensional brain function image data to a two-dimensional time sequence matrix by taking a brain function activity signal of a subject in a specific cognitive function state as input and taking a brain graph model as a basis; constructing a graph convolutional neural network model to distinguish different cognitive function states, and utilizing a meta analysis method to generate a brain activation distribution prior graph to assist in predicting a brain function activation mode of each subject specificity; combining the two sides to map brain function image data of each subject to a shared representation space suitable for a large-scale group, and finally achieving the accurate brain function alignment between individuals. According to the method, the effect dose of statistical test on a group can be enhanced, the number of tested samples required in brain cognitive function research is reduced, the clinical research cost is saved, and meanwhile, the graph representation information generated in the shared representation space can also be used for accurately predicting the tested brain function state and behavioral indexes.

Disclosed herein are methods and apparatus for the imaging of brain electrical activity from electromagnetic measurements, using deep learning neural networks where a simulation process is designed to model realistic brain activation and electromagnetic signals to train generalizable neural networks and a residual convolutional neural network and / or a recurrent neural network is trained using the simulated data, capable of estimating source distributions from electromagnetic measurements, and their temporal dynamics over time, for pathological signals in diseased brains, such as interictal activity and ictal signals, and physiological brain signals such as evoked brain responses and spontaneous brain activity.

The invention provides nutritional health dried sweet potatoes and a preparation method thereof, belonging to the technical field of food processing. The dried sweet potatoes comprise the following raw materials: sweet potatoes, walnuts, cape jasmine, lucid ganoderma, astragalus membranaceus and red ginseng. The dried sweet potatoes have medicinal functions of promoting brain activation, benefiting the brain, developing intelligence, promoting sleep, beautifying and moistening skin, delaying brain aging function, replenishing inhibitory neurotransmitter of a human body, well reducing blood pressure, promoting improvement and protection of kidney function, inhibiting fatty liver, activating liver function, improving the immunity of the human body, resisting radiation, inhibiting tumors and the like; meanwhile, by adopting a unique preparation process, the original nutrition and specific flavor of the sweet potatoes can be kept, the energy resources can be saved, the waste can be reduced, the processing time can be shortened, and the efficiency can be improved.

A method for measuring human intelligence using a neurobiogical model is provided. The method enables neurometric IQ to be measured by processing MRI and fMRI images of a subject to determine cortical thicknesses and brain activation level, determining structural IQ (sIQ) and functional IQ (fIQ) from the determined cortical thicknesses and brain activation level, and using the structural IQ (sIQ) and the functional IQ (fIQ) as predictors to measure the neurometric IQ of the subject. With this, individual differences in general cognitive ability can be easily assessed. It suggests that general cognitive ability can be explained by two different neural bases or traits: facilitation of neural circuits and accumulation of crystallized knowledge.

The present invention provides a brain activation region detection method based on correlation analysis. The method comprises the following steps: Step 1: calculating correlation coefficients between the time series of each voxel and the time series of the neighborhood voxel; Step 2: solving the average of all the correlation coefficients and obtaining a correlation parameter of each voxel; and Step 3: sorting correlation parameters of all voxels, setting a threshold value, comparing correlation parameter of each voxel with the threshold value, and according to the comparison result, dividing each voxel to the activation or inactivation region. According to the method provided by the present invention, a lot of calculation work is saved, the purpose can be reached only through calculating the correlation parameter of each voxel and selecting the voxel with a larger correlation parameter; and the activation region can be obviously detected, the same detection effect can be reached by the method provided by the present invention as the former complicated calculation method, and the method is easy to operate and can save a lot of detection time.

The invention discloses a rehabilitation monitoring system and method based on near-infrared brain imaging, and the system comprises a near-infrared brain imaging collection module which is used for collecting a brain blood oxygen signal, analyzing an activation region of the cerebral cortex of a trainee, and monitoring the motion characteristics of muscle groups in a motion region of the cerebral cortex; the near-infrared peripheral nerve monitoring module is used for distinguishing nerves of each link and monitoring the activity of peripheral nerves of the nerves of each link; the muscle activity detection module is used for judging the activity degree of the muscle according to the blood oxygen content of the muscle; and the data processing and analyzing module is used for summarizing and analyzing the data, identifying weak muscle groups of the spine and monitoring the motion state of core muscle groups in real time. The brain function imaging dynamic spectrum during movement is combined, cerebral cortex activity information characteristics corresponding to movement are refined, muscle group activity is accurately monitored and evaluated, a specific cerebral cortex area is monitored so as to evaluate the brain activation degree, the muscle activation degree, the muscle fatigue degree and the like, and real-time monitoring of rehabilitation training is achieved.

The invention discloses a rehabilitation training feedback method and system based on near-infrared brain imaging, and the method comprises the following steps: S1, obtaining a brain blood oxygen signal from a near-infrared spectrum image, analyzing an activation region of the cerebral cortex of a trainee, monitoring the brain region activation level and muscle activation degree in a motion state, and obtaining a brain blood oxygen signal; outputting near infrared data; s2, setting target training data, receiving near-infrared data output by the near-infrared brain imaging acquisition module, comparing the near-infrared data with the target training data, analyzing action differences of trainees, outputting comparison data, and judging whether the comparison data and the target training data are fitted or not; and S3, when the comparison data and the target training data are fitted, outputting a voice or vibration prompt. Therefore, according to the rehabilitation training monitoring feedback system based on the near-infrared brain function imaging system, the near-infrared brain function imaging system is used for evaluating the brain activation degree, the muscle activation degree and the muscle fatigue degree and conducting motion feedback and posture correction on the trainee, and the rehabilitation training monitoring feedback system can be used for assisting the trainee in completing rehabilitation training with high quality.

Disclosed is a functional magnetic resonance imaging quality detection phantom and method. The phantom includes two independent shells which are movably connected with each other, wherein a BOLD simulation signal module is arranged in the first shell, and a basic imaging detection module is arranged in the second shell; the BOLD simulation signal module includes a locating accuracy test component and a BOLD signal simulation component, the locating accuracy test component includes two locating blocks placed in a crossing manner, a wedge-shaped passage composed of isosceles right triangle blocks is arranged on the locating blocks, and the BOLD signal simulation component includes an artificial brain for functional magnetic resonance imaging; and the present invention can simulate human body BOLD signal changes and simulate a brain activation area in a magnetic resonance system, and is for the test analysis and researches on the accuracy, reliability and repeatability of brain function imaging.