83 results about "Brain aging" patented technology

The invention provides compositions comprising one or more long chain polyunsaturated fatty acids, nitric oxide releasing compounds, and medium chain triglycerides and methods for using such compositions for enhancing cognitive function, reducing or preventing a decline of social interaction, reducing or preventing age-related behavioral changes, increasing trainability, maintaining optimal brain function, facilitating learning and memory, reducing memory loss, retarding brain aging, preventing or treating strokes, and preventing or treating dementia in an animal. Preferably, the compositions are food compositions useful for enhancing cognitive function in humans and companion animals.

A statistical and functional correlation strategy to identify changes in cellular pathways specifically linked to impaired cognitive function with aging. Analyses using the strategy identified multiple groups of genes expressed in the hippocampi of mammals, where the genes were expressed at different levels for several ages. The aging changes in expression began before mid-life. Many of the genes were involved in specific neuronal and glial pathways with previously unrecognized relationships to aging and/or cognitive decline. The processes identified by the strategy suggest a new hypothesis of brain aging in which initially decreased neuronal activity and/or oxidative metabolism trigger separate but parallel genomic cascades in neurons and glia. In neurons, the cascade results in elevations in calcium signaling and reductions of immediate early gene signaling, biosynthesis, synaptogenesis and neurite remodeling. In contrast, glia undergo increased lipid metabolism and mediate a cycle of demyelination and remyelination that induces antigen presentation, inflammation, oxidative stress and extracellular restructuring. These identified genes and the proteins they encode can be used as novel biomarkers of brain aging and as targets for developing treatment methods against age-related cognitive decline, Alzheimer's Disease and Parkinson's Disease.

The invention discloses a brain age prediction method based on a brain connection network. The method comprises the following steps: firstly, a function connection network is extracted from a brain image; secondly, a clustering coefficient of a network node is calculated as a node feature; then, LASSO is used for carrying out feature selection on weights of edges, and edges without determination are eliminated; then, the node feature and the feature of the edge with determination are fused as a fused feature; and finally, a supper vector regression (SVR) is used for predicting a brain edge. The brain age prediction method based on the brain connection network provided by the invention has the advantages that features can be effectively extracted, and the regression effects are good.

A method for assessing brain age based on neural images relates to the field of brain age prediction. There is a shortage of an effective, reliable and sensitive technology in the process of extracting brain aging characteristics based on neural images. The method specifically comprises the following steps: step 1, establishing a neural image data set; step 2, performing neural image preprocessing; step 3, extracting features; 4, performing feature pooling and dimension reduction; and 5, carrying out feature selection and model construction. According to the method, the degree of deviation from the average development track in the human brain development process is evaluated, and noninvasive and universal early warning evaluation is provided for brain development.

The invention belongs to the field of computer medicine, and particularly relates to a baby brain age predicting method based on a resting state functional magnetic resonance image and a system. The method and the system aim to settle a problem of incapability of predicting the baby brain age based on the functional magnetic resonance image based on dynamic function connection. The method according to the invention comprises the steps of acquiring a functional magnetic resonance image set of a measured object; performing brain area segmenting on each image, and performing characteristic dimension reduction on each brain area; based on the functional magnetic resonance image set after dimension reduction and a time sequence, constructing a brain area-time sequence characteristic matrix; constructing a dynamic function connecting matrix based on the brain area-time sequence characteristic matrix; and performing brain age predicting through a pre-trained classification model. The method and the system quickly and conveniently realize functional magnetic resonance image brain age predicting based on the dynamic function connection through a computer means, thereby quickly determining whether the brain growth degree of the baby matches an actual age, finding a possible brain retardation in time, and facilitating assistance to clinical decision of a doctor.

A method for the identification of treatments and preventative agents for brain aging, subjective cognitive impairment (SCI), mild cognitive impairment (MCI), Alzheimer's disease (AD) and other degenerative dementias, the method including (a) the identification of the diagnosis and stage of the subject, (b) the identification of the duration of the stage of the condition and/or disorder, (c) the identification of prognostic markers based upon a formula incorporating the duration of the condition and/or stage, (d) the prospective separation of prognostic subgroups based upon outcome wherein the outcome is defined in these conditions as progression to a subsequent stage or stages, (e) the employment of a putative prognostic marker for an appropriate period of time, based upon the formula incorporating the duration of the condition and/or stage, (f) the application of in vivo, methodology specific techniques, in conjunction with stage specific prognostic subgroups, for the appropriate time period, for the identification, prospectively, of useful markers, (g) the employment of these markers to identify useful therapeutic agents for prevention and treatment.

The invention discloses a brain age prediction method based on a 3D convolutional neural network. The method comprises the following steps: performing stratified sampling on brain nuclear magnetic resonance imaging data; inputting the brain nuclear magnetic resonance imaging data subjected to stratified sampling into a 3D convolutional neural network through multiple threads for training, and extracting feature data; constructing a brain age prediction regression model according to the extracted feature data; and outputting a brain age prediction result according to the brain age prediction regression model. According to the method and the device, the technical problem of inaccurate children brain age prediction caused by information loss in the aspect of feature selection of a traditionalmachine learning model in related technologies is solved, and the technical effect of improving the accuracy of children brain age prediction is achieved.

The invention discloses a vascular basis-brain connection and cognitive behavior model construction method based on fMRI. The method comprises the following steps: S1, preprocessing brain function magnetic resonance data by using SPM12 and NIT; S2, finding out a gradient analysis and hierarchical function connection difference brain region as a region of interest, and extracting a gradient value and a hierarchical function connection value corresponding to the region of interest; S3, depicting a vascular aging state by using a kidney medulla R2<*> value; S4, collecting the score of a tested behavior cognition test; S5, performing Pearson's correlation analysis on the functional connection value of the region of interest and indexes for depicting the vascular aging, and performing Pearson'scorrelation analysis on the functional connection value of the region of interest and the score of the behavior cognition test; and S6, carrying out Pearson correlation analysis on the indexes of thevascular aging and the scores of the behavior cognition test. According to the invention, based on functional magnetic resonance, a brain aging research model of vascular basis-brain connection-cognitive behaviors is constructed from the perspective of a hierarchical network, and new evidences are provided for understanding of a brain aging function connection mechanism.

The invention discloses a stroke disability prediction method and system based on magnetic resonance imaging. The method comprises the following steps: acquiring a magnetic resonance imaging testing set; inputting the magnetic resonance imaging set into a trained brain age prediction model so as to obtain a brain age prediction value of a stroke patient to be tested; confirming a brain age difference of the stroke patient to be tested according to the brain age prediction value of the stroke patient to be tested and a corresponding real brain age value of the stroke patient to be tested; and inputting the magnetic resonance imaging set and the brain age difference of the stroke patient to be tested into a trained disability prediction model, so as to obtain a disability degree of the stroke patient to be tested. By adopting the method and system, future disability situations of stroke patients can be predicted.

The invention belongs to the technical field of traditional Chinese medicine and specifically provides a pharmaceutical composition for treating cognitive disorder. The pharmaceutical composition is composed of astragalus root, scutellaria baicalensis, rhizoma alismatis, salviae miltiorrhizae and ginseng. The invention also discloses a novel usage of the pharmaceutical composition in preparation of medicine for perfecting Alzheimer disease. The pharmaceutical composition provided by the invention can inhibit the expression of APP, A beta-40 and A beta-42 in a brain tissue, greatly improve the learning and memory ability of a quasi dementia mouse caused by scopolamine and reduce the ACHE activity of the brain tissue, so that the pharmaceutical composition provided by the invention has a good anti-dementia effect. In senile dementia treatment, the pharmaceutical composition provided by the invention can greatly improve the sugar metabolism of a dementia rat model and can also increase the contents of noradrenaline, dopamine and serotonin in pallium of a rapid brain aging mouse.

The invention belongs to the field of medicine, and relates to an assessment system for assessing brain ageing through eye movement and body swing. Eye movement inspection equipment is adopted for thesystem to acquire eye movement data. Eye movement data of healthy population is used to establish a math model through a data manager. The system can further comprise a body oscillometer which is used for acquiring body swing data. According to the assessment system, a model which takes simple and quick quantitative eye movement data and body swing data as the basis and reflects that the functionof the nervous system of the human is continuously changed with age is first provided, data of testees is integrated to an eye movement inspection value distribution chart, predicted by the model, ofold people at different age groups, and the illness conditions of individuals are predicted; the problems of late discovery and difficult diagnosis of degenerative diseases of the nervous system aresolved, the system helps to diagnose and treat the degenerative diseases in the early stage and benefits patients and their families to a certain degree, and the social economic burden brought by thediseases is reduced.

A regional brain age prediction method comprises the following steps: receiving a first T1 weighted image of the brain of a to-be-tested person; performing a tissue segmentation procedure on the firstT1 weighted image to obtain a first gray image; registering the first gray matter image to a normal subject image template established by the superposition program; capturing a first gray matter structure characteristic of the to-be-detected brain area; predicting the predicted age of the to-be-tested brain area through the optimized model parameter value corresponding to the to-be-tested brain area and a machine learning algorithm or a deep learning algorithm of the optimized model parameter value according to the first gray matter structure characteristic of the to-be-tested brain area; andobtaining an age difference value corresponding to the to-be-tested brain area according to the predicted age of the to-be-tested brain area and the actual foot age of the to-be-tested person, and outputting an evaluation report. Therefore, an objective biometric indicator can be provided to detect possible changes in different brain regions.

The invention discloses a detoxifying healthcare Mongolian medicine dietary therapy product and a preparation method thereof. The Mongolian medicine dietary therapy product is prepared from, by mass,20-30% of black beans, 10-20% of black sesame, 10-20% of black glutinous rice, 5-10% of black fungus, 1-5% of black garlic, 1-5% of edible sea salt and the balance black rice. The method includes: stir-frying edible sea salt, black beans, black rice, black glutinous rice and black sesame for two times; cleaning and drying black fungus in the sun for three times and stir-frying for one time; dryingblack garlic in the sun; mixing stir-fried black beans, black rice, black glutinous rice, black fungus, black sesame, edible sea salt and black garlic dried in the sun, and grinding into powder to obtain the dietary therapy product. The dietary therapy product can be eaten every day and has efficacies of detoxifying, beautifying, nutrient replenishing, immunity improving, constipation preventing,weight losing, kidney nourishing, hair blacking, cholesterol reducing, blood sugar regulating, osteoporosis preventing, life prolonging, brain aging preventing, anemia preventing, rehabilitation promoting, insomnia alleviating, high blood pressure preventing and cardiovascular and cerebrovascular disease preventing.

The invention discloses a brain age cascade refining prediction method and system based on a structural magnetic resonance image. The brain age prediction method comprises the following steps: obtaining a training sample set comprising a brain structure magnetic resonance image, a gender label and a real age of a healthy person; constructing a two-stage cascade refining network, wherein the first-stage network and the second-stage network are multi-scale tight connection networks and the output of the first-stage network is connected with the input of the second-stage network; based on the training sample set, training the two-stage cascade refining network by adopting a back propagation algorithm and a gradient descent algorithm to obtain a brain age prediction model; verifying the brainage prediction model by adopting a cross-validation method to obtain a verified brain age prediction model; inputting the test set into the verified brain age prediction model to obtain a brain age prediction result, wherein the test set comprises a brain structure magnetic resonance image and a gender label of a to-be-tested person. The method can improve the prediction accuracy of the brain age.

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 provides an executive function training system used for delaying brain aging. The executive function training system comprises a training server and one or a plurality of training clients which are bidirectionally mutually connected with the training server, wherein the training server is used for receiving the data of a trainer, setting training contents, recording and processing the training data of the trainer and realizing human-machine interaction; and the training clients are used for receiving the information of the trainer, representing and recoding data, which is generated before, in and after the training, of the trainer and realizing the human-machine interaction.

The invention relates to a brain age prediction method and system based on a three-dimensional convolutional neural network. The brain age prediction method comprises the steps: collecting a historical sample set which comprises a plurality of pairs of historical structure magnetic resonance image data and the physiological age of a corresponding tester, and dividing the historical sample set intoa training sample set and a testing sample set; preprocessing the historical structure magnetic resonance image data in the training sample set to obtain corresponding processed images; training thethree-dimensional convolutional neural network according to the processed images and the physiological ages of the corresponding testees to obtain a trained three-dimensional convolutional neural network; acquiring current structure magnetic resonance image data of a current tester; and based on the trained three-dimensional convolutional neural network, determining the brain age condition of thecurrent testee according to the current structure magnetic resonance image data, thus realizing end-to-end detection, and being high in the accuracy.

The invention relates to bread, and particularly relates to spinach-flavored bread and a preparation method thereof, belonging to the field of food processing. Spinach juice is added to the bread; spinach contains a large amount of beta-carotene and iron, is also an admirable source of vitamin B6, folic acid, iron and potassium, contains a large amount of antioxidants such as vitamin E and selenium, has the functions of resisting aging, promoting cell proliferation, activating brain function, enhancing the vigor of youth, preventing brain aging, preventing senile dementia, and reducing blood pressure, and is suitable for the elderly; and xylitol replaces edible sugar, thus the sugar content of the bread is lowered and the bread is suitable for various crowds.

The invention relates to a composition medicine used for curing senile dementia and a preparation method thereof, which uses ginkgo leaves and salvia miltiorrhiza as raw materials. The raw materials are processed by soaking for extraction at low temperature, refining of column absorption, cooling and drying for obtaining extracts; then appropriate amount of pharmaceutic adjuvant are added for preparing pharmaceutical preparations of formulations allowed by various pharmaceutics by the common technique. The invention has explicit pharmic composition, advanced technique and definite curative effects; the medicine prepared by the invention and used as the medicine for providing nutrition to protect cranial nerves and preventing degenerative brain aging has obvious effects; the effects of the medicine are obviously stronger than using the ginkgo leaves or the salvia miltiorrrhiza alone; the compatible medication has addition and synergetic effect; the medicine has excellent effects on curing the senile dementia, learning and memory dysfunction and the brain aging, etc.

The invention relates to application of total flavone of wild jujube leaves and belongs to the technical field of medicine food. The aim is to provide novel application of the total flavone of the wild jujube leaves. The total flavone has a prevention and protection function on memory damage caused by brain senescence. According to the novel application of the total flavone of the wild jujube leaves, it is expressed through a Morris water maze experiment research result that through the total flavone of the wild jujube leaves, the learning and memory ability decline caused by aging can be obviously prevented, generation of MDA in serum and brain tissue of an aged mouse is effectively inhibited, the activity of SOD, T-AOC and CAT is enhanced, generation of a low-molecule free-radical scavenger GSH is promoted, and the total flavone has a prevention function on the brain aging and memory damage of the mouse caused by oxidative damage. In addition, the utilization rate of the side products wild jujube leaves in wild jujube seed production and processing is increased, and the problem is solved that since the demand quantity for wild resources of wild jujubes is increased, resources ofthe wild jujube leaves are wasted.

The invention relates to a preparation method of a Chinese materia medica preparation for treating senile dementia. A formula of the Chinese materia medica preparation comprises, by weight, 6.4% of ginseng, 19.0% of prepared fleece flower roots, 9.3% of herba epimedii, 15.3% of the fruit of Chinese wolfberry, 12.7% of rhizoma anemarrhenae, 15.3% of the root of rehmannia, 12.7% of astragalus membranaceus and 9.3% of the root of kudzu vine. The components are weighed according to proportions, the components are soaked in cold water for two hours, then water is added to conduct decoction for three times, decocted liquor of three times of decoction is mixed, then decoction on the decocted liquor is carried out for 20-30 minutes through warm fire, and the Chinese materia medica preparation for treating the senile dementia is obtained. The Chinese materia medica preparation prepared through the method has the effects of reducing blood fat, preventing and treating arteriosclerosis, scavenging free radicals, improving and delaying brain aging, expanding the blood vessel of the brain, increasing cerebral blood flow and motivating and improving brain intelligence, and is an ideal medicine for treating the senile dementia.

A computer-implemented method for predicting neurological treatment for a patient. The method includes analyzing a pre-stored brain image of the patient by means of a Convolutional Neural Network to determine brain image analysis result including at least one of: a presence of a tumor or lesion, brain age, brain health, gyrification coefficient; receiving additional data, including at least one of: voice recognition index, additional symptom checks, blood work results, genetic sequencing results; and combining the brain image analysis result with the additional data to determine a score related to a probability that the patient may have a particular disease.