7 results about "Pig brain" patented technology

The invention discloses a pig brain deep brain stimulation DBS electrode planning and reconstruction system and method, and belongs to the technical field of medical image processing and neurosurgery path planning. An automatic registration module based on a magnetic resonance (MR) image and a pig brain standard map is used for accurately identifying a target brain region; the in-target optimal electrode trajectory planning module based on principal component analysis (PCA) and the electric field simulation module based on a Hodgkin-Huxley model are used for optimizing the treatment effect and predicting the tissue activation volume (VTA); and a multi-modal hybrid registration module based on postoperative computed tomography (CT) and preoperative MR images, which is used for accurately reconstructing the actual position of the electrode. According to the invention, through combination of automatic and data-driven planning and accurate postoperative verification, the accuracy, reliability and efficiency of electrode implantation in pig brain DBS research are significantly improved.

This invention relates to the field of bioinformatics processing and discloses a method and system for mining the structure-activity relationship (SMR) of porcine neurotrophic peptides based on sequence features. The method includes constructing an original sample index table and fusing multi-source production data, extracting peptide sequence features to generate a sequence feature matrix, constructing a sequence-process joint graph containing peptide nodes and process state nodes, training a structure-activity relationship graph neural network to mine SMR relationships, and deriving a process control decision table based on a process response sample set generated by the network, thereby achieving online optimization of the porcine neurotrophic peptide preparation process. This invention solves the problem of SMR mining caused by the separation of process parameters, sequence information, and activity data, achieving accurate characterization of the synergistic effect of sequence and process and reverse optimization of process parameters, thus improving the targeted enrichment efficiency and bioactivity retention level of target neurotrophic peptides.

The invention discloses a novel brain protein enzymolysis active peptide for improving concentration and application thereof. Belongs to the technical field of new active peptide preparation. According to the invention, fresh pig brain is used as a raw material for enzymolysis and purification to successfully prepare the novel active peptide PAVP through brain protein enzymolysis. Efficacy verification is further carried out on the oligopeptide PAVP, and experimental results show that the oligopeptide PAVP can remarkably prolong the time of exploration of mice on new things in a new things recognition experiment and improve the concentration degree; in order to further verify the action mechanism of the PAVP, the expression quantities of synaptic plasticity markers PSD-95, BDNF and p-CREB in a mouse body are detected on the molecular level, and experimental results show that the PAVP not only repairs the synaptic touchable injury, but also possibly further enhances the synaptic function so as to achieve the purpose of improving the concentration degree.

The invention discloses a novel active peptide composition for improving concentration and application thereof. Belongs to the technical field of novel active peptides. In the brain peptide research process, various new active peptides are extracted and prepared by taking pig brain as a raw material, and the research on related functions finds that the new active peptide PAVP has the effect of improving concentration; in addition, when the new active peptide PAVP and the VVAVPGN obtained through separation are mixed according to the mass ratio of 1: 1-1: 5, compared with the condition that the new active peptide PAVP and the VVAVPGN act independently, the exploration time of CUMS model mice on new things can be remarkably prolonged, and a synergistic interaction effect is achieved; when the two components cooperate with each other, the two components also have a synergistic effect on improving the expression quantity of PSD-95 and BDNF, which indicates that when the two components are combined, the capability of repairing synaptic plasticity injury of mice due to model construction can be remarkably improved, and the synaptic function is enhanced, which is a core molecular mechanism for improving concentration.

The present application relates to the field of image processing and pattern recognition, and provides a pig brain peptide component feature extraction method and system based on multi-dimensional chromatographic fingerprint, which comprises the following steps: generating a three-dimensional visual feature tensor according to a pig brain peptide chromatographic sampling sequence, extracting a pure feature distribution map, and obtaining a fingerprint enhanced image through nonlinear compression mapping; extracting a multi-scale feature fusion tensor according to the fingerprint enhanced image, and obtaining an initial feature mapping image through pixel-by-pixel weighting according to an initial energy weight; extracting a centroid coordinate, a wave peak depth and an embedded feature according to the initial feature mapping image, encapsulating a component node set, a dynamic edge relationship set and an adjacency matrix, and generating a current batch pig brain peptide topological graph; generating an alignment matching matrix by using a twin graph convolution network, correcting the initial energy weight by calculating an error adjustment factor, and generating a pig brain peptide component feature vector. The present application fuses multi-scale visual perception and dynamic topological constraints, and constructs a feature extraction and semantic reconstruction closed-loop mechanism for non-rigid deformation of the pig brain peptide fingerprint.

The application discloses a brain peptide enzymolysis active peptide and a preparation method and application thereof, and belongs to the technical field of active peptide preparation. The brain peptide enzymolysis active peptide VVAVP is successfully prepared by adopting a specific preparation method to perform enzymolysis and purification on a pig brain extract, and the enzymolysis yield and enzymolysis purity are significantly improved by adopting the preparation method. In addition, the efficacy of the prepared short peptide is verified, and the experimental results show that the short peptide VVAVP can play an anti-anxiety role on an anxiety mouse model, and the treatment effect is equivalent to that of a positive control group, so that it is indicated that the active peptide VVAVP has certain emotion regulation ability.

This invention discloses a system and method for deep brain stimulation (DBS) electrode planning and reconstruction in pigs, belonging to the field of medical image processing and neurosurgical pathway planning technology. The invention includes an automatic registration module based on magnetic resonance (MR) images and standard pig brain atlases for accurate identification of target brain regions; a module for optimal electrode trajectory planning within the target area based on principal component analysis (PCA) and an electric field simulation module based on the Hodgkin-Huxley model for optimizing treatment effects and predicting volume of activated tissue (VTA); and a multimodal hybrid registration module based on postoperative computed tomography (CT) scans and preoperative MR images for accurate reconstruction of the actual electrode positions. This invention, through the combination of automated, data-driven planning and precise postoperative verification, significantly improves the accuracy, reliability, and efficiency of electrode implantation in pig brain DBS research.