33 results about "Neural development" patented technology

The invention discloses a nutritional composition for promoting neurodevelopment and application, and provides a nutritional composition for promoting neurodevelopment, which comprises the following necessary components: a sialylated substance component comprising one or more of N-acetylneuraminic acid, sialylated oligosaccharide, sialylated protein and sialylated lipid; the whey protein component comprises alpha-lactalbumin; and a peptide component from casein, including a hydrolysate of casein; the nutritional composition comprises a sialylated substance component, a whey protein component and a casein-derived peptide component, and the mass ratio of the sialylated substance component, the whey protein component and the casein-derived peptide component in the nutritional composition is (0.5-10): (300-1): (100-0.5). The nutritional composition provided by the invention can promote brain development and cognitive functions, and can significantly promote neurodevelopment by scientifically matching the sialylated substance component, the whey protein component and the peptide component from casein.

The application discloses a mental health evaluation method and system based on brain area electric stimulation, relates to the technical field of medical and health information science, and creatively integrates brain area electric stimulation into mental health evaluation. The basic cognitive level and neural plasticity potential of a measured person are objectively quantified through comprehensive scores before and after brain area electric stimulation, so that corresponding suitable mental health evaluation test questions are selected based on the basic cognitive level and neural plasticity potential, and the precision, sensitivity of corresponding mental tests and the mental comfort of the measured person are significantly improved. A decay quantization model of a stimulating current from an electrode to the brain is given, the decay quantization model is used to accurately control the electric quantity, and the maximum beneficial effect is realized under the condition of guaranteeing health and safety. Historical data accumulated in the application process can be effectively used to solve medical problems, such as the influence of brain area electric stimulation on child neural development evaluation, early warning of mental illness and brain function reinforcement.

The present application provides the use of betaine in preventing the occurrence of autism spectrum disorder (ASD). Specifically, the present application provides the use of betaine or a pharmaceutically acceptable salt, stereoisomer, tautomer, nitroxide, solvate, metabolite or prodrug thereof in the preparation of a medicament for preventing the occurrence of ASD, optimizing fetal neural development or reducing the risk of fetal neural development disorder. By using betaine or a pharmaceutically acceptable salt, stereoisomer, tautomer, nitroxide, solvate, metabolite or prodrug thereof as an active ingredient, the occurrence of ASD can be effectively prevented, fetal neural development can be optimized, or the risk of fetal neural development disorder can be reduced.

The invention discloses a nutritional composition for promoting neurodevelopment. The invention provides a nutritional composition, the nutritional composition comprises the following necessary components: a grease component, a phospholipid component and a sialylated substance component, and in the nutritional composition, the molar ratio of the grease component to the phospholipid component to the sialylated substance component is (1-5): (1-10): (0.01-5). The composition provided by the invention has the advantages that the components are synergistic, the nerve development is effectively promoted, the application range is wide, and various foods or health-care products can be conveniently added or prepared.

The invention relates to the field of food science and technology, and particularly discloses a neurodevelopment food containing DHA and choline and a preparation method of the neurodevelopment food. Comprising DHA powder, a choline source, soybean peptide powder, compound amino acid, a carbohydrate source, a fat source, a vitamin mixture, a mineral mixture, prebiotics and a natural antioxidant mixture. The preparation method comprises the following steps: firstly, carrying out microencapsulation treatment on the soybean peptide powder and the DHA powder, then preparing a premix of the vitamins and the carbohydrates as well as the minerals and the fat, then mixing the microencapsulated product with other raw materials such as the compound amino acid and the choline source to obtain a primary mixture, adding the premix, carrying out high-pressure homogenization, carrying out ultrahigh-temperature instantaneous sterilization and spray drying to obtain granules, and finally, carrying out freeze-drying to obtain the feed additive. And finally performing low-humidity vacuum packaging. The product can be used for nutrition support of infant neurodevelopment and has the advantages of being high in nutrition adaptability and capable of accurately assisting healthy development of nerves. The preparation method can protect active ingredients, ensure uniform nutrition and guarantee product stability.

The invention relates to the field of neurodevelopmental disorders, and discloses an electro-oculogram signal analysis and diagnosis system based on neurodevelopmental disorders, which extracts signal features from pre-processed electro-oculogram signals, and analyzes inter-group differences between signal features of a child patient group and signal features of a healthy child group. The method comprises the following steps: preliminarily screening out signal features with significant statistical difference between two groups, then carrying out severity correlation analysis on the screened signal features, screening and forming a feature list highly related to ADHD severity, and then comparing eye movement features of a child patient group under natural behaviors with eye movement features of a healthy child group, so as to obtain a feature list related to ADHD severity. The method comprises the following steps of: identifying and forming an abnormal signal feature list, fusing the feature list highly related to the ADHD severity and the abnormal signal feature list, calculating a comprehensive abnormal score, drawing an ROC curve according to the calculated comprehensive abnormal score, and carrying out grading evaluation on the ADHD severity of a child patient, so that accurate diagnosis and severity judgment on the ADHD disease are realized.

The invention relates to the field of child neural development training, and discloses a child neural development collaborative four-dimensional dynamic training method and system, and the system comprises hardware such as a central processing unit, a multi-modal evaluation input end and an electroencephalogram signal collection device, and software modules such as a mapping analysis module and a scheme generation module. The method comprises the following steps: acquiring initial data such as age and traditional Chinese medicine syndrome characteristics of a trained object, modeling based on a four-dimensional state space vector, determining a target intervention brain region by utilizing a five-element viscera-brain region attribute mapping matrix, and constructing a training execution vector in combination with an age division control strategy; through closed-loop monitoring of electroencephalogram signals and action data, nerve relaxation and concentration indexes and action execution precision are calculated, and training parameters are dynamically adjusted through a PID (Proportion Integration Differentiation) algorithm; a multi-dimensional safety fusing mechanism is fused, and a comprehensive development index is generated and recorded after training. According to the method, traditional Chinese and western medicine theories are fused, age-based precise adaptation and nerve and movement coordinated regulation are achieved, the training pertinence and safety are improved, and the method is suitable for nerve development intervention of 12-36-month-old children.

The application discloses a method for constructing a social novelty defect model through catechol exposure of pregnant mice, and belongs to the technical field of disease animal models. The method comprises the following steps: performing catechol exposure treatment on the pregnant mice, feeding the pregnant mice until childbirth, and waiting for the obtained offspring mice to grow to a required age, so as to obtain the social novelty defect model. The method is capable of precisely matching a key time window of embryonic neural development, and adopts a single catechol exposure mode, so that the method is simple to operate, has a high model formation rate, and has a high survival rate of the mother mice and the offspring. In addition, the induced social novelty defect model of the offspring mice is stable in phenotype and strong in specificity, can simulate the cross-generation influence of maternal pregnancy environment exposure on abnormal social functions of offspring young, and is suitable for mechanism research, drug screening and diagnosis marker development of social impairment diseases such as autism.

The invention relates to the technical field of functional foods, and particularly discloses a dietary therapy composition for promoting repair of cranial nerve damaged cells and a preparation method. The composition is prepared from the following raw materials in parts by weight: artichoke peptide, taurine, phosphatidylserine, natural nicotinic acid, guarana extract, collagen peptide, acerola cherry fruit powder, inulin, yak bone marrow powder, vitamin B family, sialic acid and sucralose. The preparation method comprises the following steps: S1, pretreating the raw materials; s2, performing nano crushing; s3, low-temperature drying; s4, embedding the inulin; and S5, mixing and forming. The artichoke peptide and the phosphatidylserine are synergistically matched, and a compound component with liver and brain axis functions is taken into consideration, so that a multi-target synergistic effect is achieved, the requirements of cell repair and neural development are synchronously met, and compared with single-component supplement or neglect of the influence of liver detoxification on brain repair in the prior art, the brain repair effect is greatly improved. The problems of low repairing efficiency and insufficient component utilization rate are solved.

The invention discloses a method for constructing a social anomaly mouse model, relates to the technical field of animal model construction, and constructs a social anomaly model of a filial generation mouse by performing bisphenol S exposure on a female mouse in a pregnancy and nursing period. According to the mouse model constructed by the invention, in the pregnancy and nursing period, BPS is exposed, and the development of left secondary motor cortex neurons is damaged, so that progeny is induced to have social behavior disorder; the activity of neurons in the left M2 brain region is activated, so that social behavior disorders can be effectively relieved. The invention not only clarifies the neural development mechanism of the environmental endocrine disrupter-induced autism-like social disorder, but also provides a new thought of activating left M2 neurons as a potential intervention means, and can be used for developing drugs for treating the social behavior disorder induced by the environmental endocrine disrupter; the invention provides a new direction for etiological research and treatment strategy exploration of neurodevelopment disorder diseases taking social defects as core symptoms, and is beneficial to promoting deep development of related medical research.

According to the construction method and application of the animal model for conditional knockout of the Inpp5e gene, a mouse animal model for conditional knockout of the Inpp5e gene is established by applying a CRISPR / Cas9 technology, and specific sgRNA is used; the method comprises the following steps of: constructing a pUC19L-Inpp5e CKO Targeting Vector plasmid by using a seamless cloning method, and constructing a pUC19L-Inpp5e The method for constructing the Inpp5e gene conditional knockout mouse model by using the CRISPR / Cas9 system is simple and easy to implement, the mouse model can be used for researching various neurodevelopment-related diseases, and particularly, a good research model is provided for researching pathogenesis and pathogenesis such as genes on metabolic pathways related to the gene and neurodevelopment defects. And a service is provided for further development of medicines for treating the diseases.

The application belongs to the field of biomedical science and neurology, and particularly relates to application of CHCHD2 gene and a protein coded by the CHCHD2 gene in preparation of a product for promoting proliferation and differentiation of neural stem cells. The application proves that the CHCHD2 gene and the protein coded by the CHCHD2 gene are highly expressed in in-vivo neural development and in-vitro neural differentiation process; and that knocking down or over-expressing the CHCHD2 gene or the protein coded by the CHCHD2 gene has a certain regulating effect on proliferation and differentiation of neural stem cells. The application provides a new scheme for preparation of a product for promoting proliferation and differentiation of neural stem cells, and provides a new target for drug research and development of neural regeneration and repair treatment of central nervous system development deficiency diseases, neurodegenerative diseases, cerebrovascular diseases, craniocerebral and spinal cord injuries.

This invention relates to the field of signal recognition technology, specifically to a method and system for recognizing neurophysiological signal patterns in the language development of premature infants. The method includes acquiring initial neurophysiological response information and auditory stimulation parameters collected during auditory stimulation of the premature infant; extracting language development feature information; determining the neural response state of the premature infant to the current stimulus based on the language development feature information; adjusting the auditory stimulation parameters according to the neural response state to obtain adjusted auditory stimulation parameters; using the adjusted auditory stimulation parameters to provide further auditory stimulation to the premature infant, determining the adjusted neurophysiological response information; and recognizing the neural development of language in the premature infant based on the adjusted neurophysiological response information to obtain the neural recognition result of language development in the premature infant. The purpose of this invention is to solve the problem of inaccurate assessments due to biases in the existing technology for evaluating the language abilities of premature infants.

This invention provides the application of a nutritional composition in the preparation of products that promote neural development and support the improvement of neural function. The research of this invention found that intervention in the body using a nutritional composition comprising *Bifidobacterium animalis* subsp. *lactobacterium* CP-9 and 3'-sialic acid lactose can promote the development of amygdala neuronal structure, improve neural plasticity, and enhance synaptic function, thereby promoting the formation and functional maturation of the normal amygdala structure. As a core brain region regulating emotional responses, social cognition, and stress responses, the normal development of the amygdala plays a crucial role in an individual's emotional regulation ability, social interaction behavior, cognitive function, and mental health. Therefore, this invention promotes the structural and functional development of the amygdala through nutritional intervention, ultimately improving an individual's emotional regulation ability, social interaction behavior, cognitive function, and mental health.

The application discloses a small infant neural development state analysis method and system, and belongs to the technical field of computer vision, and comprises the following steps: S1, data collection preparation; S2, whole body active motion data collection; S3, local evoked motion data collection; S4, multi-motion feature extraction and fusion decision-making. On the basis of whole body spontaneous motion data collection and analysis, the application adds local motion data collection and analysis induced by visual and auditory senses, obtains multi-modal behavioral characteristics, and improves clinical classification accuracy through late fusion decision-making of modal characteristics.

The application discloses application of diacylglycerol in preparation of medicines for improving nutritional composition of breast milk and promoting neural development of offspring, and belongs to the technical field of medicines. The complete technical chain of "maternal intake of DAG, remolding of breast milk lipids (enrichment of long-chain polyunsaturated ether lipids), activation of 2-AG signal pathways of offspring, and promotion of neural cognitive development" is provided, which provides a scientific basis for development of new maternal nutrition products, and has extremely high clinical application value and industrialization prospect.

Disclosed herein are methods for promoting healthy neural development in an unborn baby, which include administering to a maternal subject gestating the unborn baby a composition or a bacterial composition. Compositions can include trimethylamine N-oxide (TMAO), 5-aminovalerate (5-AV), imidazole propionate (IP), hippurate (HIP), or a combination thereof, and the bacterial compositions can include bacteria of the order Clostridiales. Also disclosed are methods for conditioning a female subject for bringing about offspring with healthy neural development. Additionally disclosed are methods for reducing adverse effects of antibiotic treatment on an unborn baby in a pregnant subject. Also disclosed are methods for selecting a female subject for conditioning to foster healthy neural development in offspring.

The application provides a fetal education system optimization method and system based on fetal neural development key area recognition, and aims at the problems of low penetration efficiency and poor targeting of traditional fetal education sound waves. Through constructing a fetal development response topology graph, the acoustic intervention neural development utility function is orthogonally decomposed into a coordination component and a competition component, and the strong response areas of the language center, the auditory cortex and the articulatory organ are accurately positioned. Combined with a dynamic parameterization model, a multi-modal collaborative intervention scheme is designed.

The application belongs to the technical field of regenerative medicine, and discloses a kind of organoid culture method derived from human and non-human primate subventricular zone neural stem cells. By optimizing the medium formula and regulating transcription factors, the organoid is successfully induced to differentiate into CRABP1-expressing neuronal precursors. These cells express TAC3, and the application overcomes the limitations of existing technologies in simulating primate-specific neural lineages and complex brain structures, providing a breakthrough in vitro model for studying neural development, neurological diseases and drug development. The established system not only provides a new tool for studying the development of primate nervous system and disease mechanism, but also provides a reliable experimental platform and transplantable cell source for developing targeted drugs, constructing advanced disease models and conducting cell replacement therapy.

The invention belongs to the technical field of regenerative medicine, and discloses an organoid culture method derived from neural stem cells in subventricular regions of human and non-human primates. By optimizing a culture medium formula and regulating and controlling transcription factors, the organoid is successfully induced to be differentiated into the neuron precursor for expressing the CRABP1. The cell expresses TAC3, the limitation of the prior art in simulation of special neuropedigree and complex brain structure of primates is overcome, and a breakthrough in-vitro model is provided for research on neurodevelopment and nervous system diseases and drug development. The established system not only can provide a new tool for researching the development law and disease mechanism of the primate nervous system, but also can provide a reliable experimental platform and a transplantable cell source for developing targeted drugs, constructing advanced disease models and developing cell replacement therapy.

The invention relates to a construction method and application of a zebrafish reln gene knockout model. According to the method, a sixth exon of a reln gene of the zebra fish is targeted through a CRISPR / Cas9 technology, and a stable passage reln mutant zebra fish model is generated. The method comprises the steps of gene knockout, mutant identification, expression pattern analysis, microscopic morphology observation and nerve electrophysiology testing. The model can be used for researching neurodevelopment abnormality caused by Reelin protein deletion, such as neuron migration defect and epilepsy phenotype, and an efficient and stable platform is provided for nervous system disease mechanism research and drug screening. The method integrates multi-dimensional verification means, is easy and convenient to operate and high in repeatability, and has important application value.

The application discloses a new-born brain function evaluation and neural development prognosis prediction system, relates to the technical field of new-born brain function evaluation, and comprises an EEG electrode module, an fNIRS optical electrode module and a prediction module. The EEG electrode module is used for collecting EEG signals of a new-born in real time within a set time period. The fNIRS optical electrode module is used for collecting rSO2 signals of the new-born in real time within the set time period. The prediction module is used for performing signal preprocessing on EEG signals of the whole brain of the new-born and the rSO2 signals of the new-born, obtaining preprocessed EEG signals and preprocessed rSO2 signals, generating a dynamic brain function connection network sequence capable of representing the time evolution characteristics of brain function connection structures by using the preprocessed EEG signals and the preprocessed rSO2 signals, obtaining a time-varying feature vector by using the dynamic brain function connection network sequence, and obtaining a prediction result of new-born brain function evaluation and neural development prognosis based on the time-varying feature vector and a prediction model established in advance.

The invention discloses a neural development disorder screening method and system based on a face image, and the method comprises the steps: obtaining a to-be-detected face image, and extracting image texture features and face key point structure features from the face image; fusing the two features through an attention mechanism which takes the facial key point structure features as query and takes the image texture features as key values to obtain fused feature representation; and performing classification processing on the fusion feature representation through a classification strategy adaptive to long-tail data distribution to obtain a neurodevelopment disorder category corresponding to the face image. According to the method, the problem that the recognition capability is poor when the types of the neurodevelopment disorders are recognized through a computer vision technology is solved, and accurate and automatic screening of various types of neurodevelopment disorders including various rare diseases under a unified framework is achieved.

The invention provides an intelligent screening system and method for infant neural development, and belongs to the field of medical information technology and intelligent hardware. The system comprises a data acquisition device, a user terminal and an evaluation processing platform. Intelligent evaluation software in the evaluation processing platform can analyze video data acquired by a high-definition camera of the data acquisition equipment in real time, generate a control instruction according to an analysis result, and send the instruction to a driving mechanism to drive the high-definition camera to move to a target shooting position determined based on the analysis result, so that the target shooting position is shot. And closed-loop intelligent control of the acquisition process is realized. Meanwhile, the software also analyzes the collected video to evaluate the neural development condition of the infant and generate an evaluation report. Through AI closed-loop control hardware, the quality and standardization level of video acquisition are guaranteed from the source, intelligence and automation of data acquisition are realized, the problem of inaccurate evaluation results caused by non-standard video acquisition is solved, and the screening efficiency is improved.

This invention provides an oligosaccharide composition for improving neurodevelopment and functional disorders, comprising 6'-sialyl lactose and lactose-N-trisaccharide. The oligosaccharide composition provided by this invention can effectively inhibit the accumulation of Aβ protein, which leads to neuronal synaptic disorders, neuronal apoptosis, brain damage, and functional disorders. Therefore, the oligosaccharide composition provided by this invention can protect nerves and improve functional disorders. Furthermore, the oligosaccharide composition provided by this invention can also inhibit acetylcholinesterase activity, protect the normal development of cholinergic neurons, and increase neurotransmitter levels, thus benefiting the improvement of neurodevelopment, learning and memory abilities, and the improvement of behavioral coordination in infants and young children.

The application provides application of breast milk oligosaccharides in preparation of products for protecting nerve health or regulating emotion. Through long-term research and experiment of the application, it is proved that the combination of lactose-N-neotetraose and 3'-sialyllactose in a specific ratio has a synergistic effect, can significantly improve the amygdaloid organ index of the body and improve the expression of TGF-beta1, TGF-betaRI and Smad4 in the amygdaloid body, so as to perfect the function of the amygdaloid body and promote the functional shaping. The application systematically illustrates the fine development and functional shaping effect of the specific combination of breast milk oligosaccharides in a specific ratio on different functional divisions of the brain, especially the amygdaloid body, and has important significance for analyzing the mechanism of early nutritional regulation of neural development or emotion regulation and guiding the design of newborn formula food.

The application provides a neurodevelopmental disease detection system based on image recognition. The neurodevelopmental disease detection system based on image recognition comprises a data collection terminal, an image quality determination terminal, a parameter adjustment terminal and a deep learning detection terminal; wherein the data collection terminal and the image quality determination terminal are connected in data communication; the image quality determination terminal and the parameter adjustment terminal are connected in data communication; the parameter adjustment data information output end of the parameter adjustment terminal is connected in data communication with the data adjustment data information input end of the data collection terminal; and the medical image signal output end of the image quality determination terminal is connected in data communication with the image signal input end of the deep learning detection terminal.

The invention provides a brain age prediction method for cerebral cortex grids based on deep learning, which belongs to the technical field of digital medical treatment, medical image processing and deep learning, and is characterized by comprising the following steps of: extracting geometric features of a brain from cerebral cortex surface grid data generated by a brain magnetic resonance image of a patient; and the topological relation and curvature information of the vertexes are fully utilized. The method has the advantages that manual intervention is not needed, and the predicted brain age can be directly obtained from the brain image. The model provided by the invention is an end-to-end architecture, and is easy to train, and meanwhile, the lost design can enable the model to converge quickly. The method has a good application prospect in research directions of brain aging, neurodevelopment, cognitive degeneration diseases and the like of patients in the future.

This invention provides a behavioral evaluation device for measuring animal neural development, belonging to the field of animal behavior evaluation technology. The device includes a base plate, with vertical plates fixedly connected to both sides of the top surface of the base plate. Two partition plates are provided between the two vertical plates, and the two partition plates are connected to the vertical plates via a first adjustment component. Two front-to-back baffles are fixedly connected to the top surface of the base plate, and the two baffles are fixedly connected to the two vertical plates. Each vertical plate has two front-to-back rectangular slots, and each rectangular slot contains a mounting plate. Each mounting plate is connected to the corresponding rectangular slot via a second adjustment component. A multimodal stimulation module is provided on the mounting plate. This invention, through the cooperation of the two vertical plates, two partition plates, and two baffles, can form two experimental areas, allowing for the simultaneous setting of a control during the evaluation process, thereby improving the evaluation effect.