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123 results about "Midbrain" patented technology

The midbrain or mesencephalon (UK: /ˌmɛsɛnˈsɛfəlɒn, -kɛf-/, US: /ˌmɛzənˈsɛfələn/; from Greek mesos 'middle', and enkephalos 'brain') is a portion of the central nervous system associated with vision, hearing, motor control, sleep/wake, arousal (alertness), and temperature regulation.

Midbrain dopamine (DA) neurons for engraftment

The present invention relates to the field of stem cell biology, in particular the lineage specific differentiation of pluripotent or multipotent stem cells, which can include, but is not limited to, human embryonic stem cells (hESC) in addition to nonembryonic human induced pluripotent stem cells (hiPSC), somatic stem cells, stem cells from patients with a disease, or any other cell capable of lineage specific differentiation. Specifically described are methods to direct the lineage specific differentiation of hESC and/or hiPSC into floor plate midbrain progenitor cells and then further into large populations of midbrain fate FOXA2+LMX1A+TH+ dopamine (DA) neurons using novel culture conditions. The midbrain fate FOXA2+LMX1A+TH+ dopamine (DA) neurons made using the methods of the present invention are further contemplated for various uses including, but not limited to, use in in vitro drug discovery assays, neurology research, and as a therapeutic to reverse disease of, or damage to, a lack of dopamine neurons in a patient. Further, compositions and methods are provided for differentiating midbrain fate FOXA2+LMX1A+TH+ dopamine (DA) neurons from human pluripotent stem cells for use in disease modeling, in particular Parkinson's disease. Additionally, authentic DA neurons are enriched for markers, such as CD142, and A9 type neuronal cells.
Owner:MEMORIAL SLOAN KETTERING CANCER CENT

Method and device for segmenting cerebral ischemia areas in diffusion-weighted images

The invention provides a method and device for segmenting cerebral ischemia areas in diffusion-weighted images. The method comprises the following steps of: dividing diffusion-weighted images of a plurality of super-acute ischemic stroke patients into test images and training images; training a random forest model, a learning dictionary and a support vector machine model according to the trainingimages; carrying out initial cerebral ischemia area segmentation by utilizing the trained random forest model according to grey features of voxels in the test images; determining a sparse encoding matrix of a local image block feature vector of each voxel in connected regions on the basis of the trained learning dictionary; and classifying each connected area by utilizing the trained linear support vector machine model according to a package feature of each connected area, and deleting the connected areas, in which non-ischemic tissues are located, from a first initially segmented image so asto obtain an optimal segmented image. According to the method and device, automatic recognition and segmentation of super-acute cerebral ischemia areas can be solved, and the ischemia area segmentation precision is improved.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Cerebrum functional zone specificity electroencephalogram detecting method based on vector multi-classification

The invention relates to a cerebrum functional zone specificity electroencephalogram detecting method based on vector multi-classification. The cerebrum functional zone specificity electroencephalogram detecting method is characterized by including the following steps: firstly, in the state that a detected person executes or receives a specificity task, electroencephalogram signals are collected; then a vector multi-classification method is adopted, wavelet decomposition is carried out on the electroencephalogram signals, all single sub-frequency-band signals are reconstituted, the energy differences of the single sub-frequency-band signals before and after a task event is executed serve as characteristic quantities, and multi-dimensional time-frequency domain vectors are constructed; and finally, a support vector machine multi-classification algorithm based on a decision-making tree is adopted for classifying the multi-dimensional time-frequency domain vectors, so that the specificities of electrodes when the electroencephalogram signals are led to the electrodes are identified, and cerebral cortex functional zone specificity detection can be completed. By means of the cerebrum functional zone specificity electroencephalogram detecting method, the electroencephalogram specificities of the cerebral cortex functional zone can be scientifically and accurately detected; and the method can be widely applied to studying and clinic application of neurosciences such as intra-operation cerebrum function positioning, cognitive function evaluation and cerebrum-computer interfaces based on electroencephalogram analysis.
Owner:SOUTH CHINA UNIV OF TECH

SiRNA targeting to synaptotagmin-11 (Syt11), expression vector, virions and pharmaceutical applications of SiRNA, expression vector and virions

The invention provides siRNA targeting to synaptotagmin-11 (Syt11), an expression vector, virions and pharmaceutical applications of the SiRNA, the expression vector and the virions, belongs to the technical field of biological medicines, and in particular relates to siRNA for inhibiting the gene expression of synaptotagmin-11 (Syt11), a medicinal composition adopting the siRNA as the active ingredient, a recombinant vector expressing the siRNA, an expression virus, and applications of the siRNA, the medicinal composition, the recombinant vector and the expression virus in Parkinson diseases and other diseases relevant to the expression of the Syt 11. According to the technical scheme, aiming at the nucleotide sequence of the synaptotagmin-11 (Syt11) gene, the small interfering RNA is designed and synthesized, the shRNA expression vector and expression virus aiming at the target sequence are constructed, and the siRNA specifically targets to the Syt11 gene in the mRNA level, can effectively inhibit the expression of the Syt11, and is used for treating Parkinson syndrome and other diseases related to the expression of the Syt11. After being transferred into midbrain substantia nigranerve cells, the siRNA can effectively silence the expression of the Syt11 and reverse the pathological process of the Parkinson syndrome.
Owner:XI AN JIAOTONG UNIV

Automatic analysis method and system based on resting-state EEG frequency domain characteristics and brain network

PendingCN113576491AFacilitates automated batch processingImprove work efficiencyDiagnostic recording/measuringSensorsNetwork connectionMATLAB
The invention discloses an automatic analysis method and system based on resting-state EEG frequency domain characteristics and a brain network, and the method comprises the steps: calling a Matlab data processing script, carrying out the preprocessing of the resting-state EEG of a patient in an eye-closed state for 3 minutes, calculating the frequency domain characteristics of the EEG, and further calculating and extracting the average brain network connection strength of different brain regions and the whole brain through the traceability positioning analysis. According to the method, the first 10% of strongest connections are visualized, and the two-dimensional electroencephalogram is quickly converted into high-readability digital and image information, so that automatic batch processing of electroencephalogram frequency domain characteristics and brain network analysis in scientific research work is facilitated, the working efficiency is improved, and the labor cost is saved. And on the other hand, the abnormal frequency domain and the brain region of the patient are accurately identified by comparing and identifying with a standardized reference value of a health contrast norm, and a powerful technical means is provided for realizing individualized and precise non-invasive nerve regulation and control.
Owner:SHENZHEN PEOPLES HOSPITAL

Method for Decreasing Nicotine and Other Substance Use in Humans

A method for decreasing nicotine and other substance use in humans is disclosed. Tetrahydroberberine (THB) and its analogs, l-Tetrahydropalmatine (l-THP) and l-Stepholidine (l-SPD), are present in and can be isolated from several plants in the Magnoliidae superorder. According to the disclosed method, THB and its analogs are used to block nicotine-induced DA release, and modulate heterologous or homoeric expression of human nicotinic acetylcholine receptors (nAChR) in humans. Specifically, THB exhibits bi-directory modulation of α4β2-nAChR-mediated currents induced by nicotine. THB also shows predominant inhibition on homologously expressed α7-nAChR function. Thus, according to the disclosed method, THB is used to simultaneous blockade midbrain DA system function, the brain reward center, and neuronal α4β2- and α7-nAChR function, the major nicotine targets in the brain. Therefore, THB and its analogs serve as a novel class of natural compounds to decrease nicotine dependence in humans. Furthermore other substances, such as alcohol, cocaine, and opiates, also operate by triggering the brain reward center, resulting in a cycle of substance or alcohol abuse. THB and its analogs can be used to decrease use of substances such as alcohol, cocaine, and opiates. Finally, because THB and its analogs are DA antagonists, THB and its analogs can also be used as a treatment for Parkinson's Disease, Alzheimer's Disease and Schizophrenia.
Owner:ARIZONA HEALTH CONSULTING GROUP
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