17 results about "Neuroscience research" patented technology

The invention belongs to the technical field of mouse neuroscience research, and relates to a multi-modal mouse virtual reality and nerve recording integrated system based on skull anchoring, which comprises a skull anchoring basic support, a binocular miniature VR display module, a multi-modal fixed expansion frame and a behavior and power supply platform. According to the invention, the skull screw is used as a unique space reference, accurate limiting of the head is realized through rapid butt joint of the MMA and the external fixing rod, and rapid plugging and coordinate multiplexing of equipment for two-photon imaging, optical genetic stimulation and the like are realized in combination with an M2 anchoring hole preset in the MMA; the total mass of the whole machine is strictly controlled within 3.2 g; the optical system provides panoramic visual stimulation with a horizontal field angle of 140 degrees, completely covers a key binocular vision area on the top of the mouse head, and supports high-order cognitive task paradigms such as complex ecological visual navigation, spatial memory and social interaction.

A magnetic resonance-compatible programmable synchronized photostimulation system includes a main control unit and a stimulation execution unit. The main control unit is located outside the magnetic resonance scanning room, while the stimulation execution unit is located inside the scanning room and consists only of an LED light panel shielded by a magnetic field. The main control unit is configured to: receive photostimulation sequence parameters configured by the user in a modular manner through a graphical interface; receive a scan trigger signal from the magnetic resonance equipment, and automatically control the start and stop of the photostimulation sequence based on the trigger signal using hardware triggering; thereby achieving high-precision time synchronization between photostimulation and magnetic resonance scanning while maintaining magnetic resonance compatibility. This invention solves electromagnetic compatibility issues through a split architecture, achieves millisecond-level synchronization accuracy through hardware TTL triggering, and enhances experimental paradigm flexibility through modular programmable sequences, making it suitable for neuroscience research fields such as functional magnetic resonance imaging.

This invention relates to the field of neuroscience research and biomedical engineering experimental equipment, and discloses a stereotaxic brain localization device suitable for turtles and its usage method. The device includes an original base plate, an extended base plate assembly connected by splicing, a turtle shell limiting assembly mounted on the base plate, a curved platform, a modified semi-circular ear rod, a mouth clamp with an endotracheal intubation port, and a magnetic skull leveler. This invention expands the operating space through the extended plate and uses an arc-shaped limiting baffle to fix the turtle's position; the specially designed semi-circular ear rod adapts to the shallow concave middle ear structure of turtles, avoiding damage; the mouth clamp integrates height and length adjustment functions and has a reserved endotracheal intubation channel to maintain the experimental animal's respiration; the magnetic skull leveler can precisely adjust the head level using four corner nuts. This device enables precise localization of turtle brain regions and electrode implantation, providing stable and accurate hardware support for turtle movement regulation and neuroscience research.

The invention relates to a nerve regulation and control device and a control method. The nerve regulation and control device is used for generating ultrasonic waves to stimulate intracranial nerves. The nerve regulation device comprises a main body and an ultrasound generating unit. The main body is configured to be suitable for being arranged on at least one of the forehead and the temples on the outer side of the head, and the ultrasonic generation unit is arranged on the main body and is configured to controllably provide ultrasonic waves to an intracranial target area. Wherein the ultrasonic generation unit is configured to provide ultrasonic waves with the frequency ranging from 0.02 MHz to 0.8 MHz into the cranium, so that the ultrasonic waves can penetrate through biological tissues with the set depth in the cranium and then reach the target area. The nerve regulation and control device and the control method provided by the invention can be widely applied to nerve regulation and control of various diseases, meanwhile, the application safety is ensured, and a new solution is provided for neuroscience research and clinical treatment.

The invention discloses a space-time modeling method for improving a human brain communication process by activating a network. The space-time modeling method comprises the following steps: S1, integrating data; s2, data preprocessing; s3, activity and background of function connection; s4, function connection calculation activity; s5, constructing a high-low activation network; s6, performing graph theory analysis and classification; s7, performing statistical test; and S8, obtaining a result. Experimental results show that the AFC shows high correlation with potential dynamics, in addition, the activation network shows more multi-region interaction in space and has high sensitivity to mental state change, more information of large-scale brain network communication is temporarily revealed with a stable communication effect and low cost, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. According to the method, verification is carried out through an application program, disease classification is achieved, the network activation is an important framework for understanding the brain network, new insights are provided for brain network construction through research, and the potential of using the network activation in network neuroscience research is emphasized.

The utility model relates to a spiral electrode implanting device, belong to medical instrument technology or the field of neuroscientific research, spiral electrode implanting device is located on the intracranial blood vessel wall, including a spiral support, electrode wire and developing object, the body of spiral support is a spiral shape, the electrode wire that is provided with on the support body is a spiral shape, the both ends of spiral support are equipped with developing object, the utility model can adopt the way of through blood vessel intervention, implants the electrode, gathers the electric signal, simple structure can realize high degree, electrode and blood vessel wall good adhesion, electrode gathers signal effect good, the cross section is small, can be transported through the small sheath, can reach the far end small blood vessel far end, satisfy brain deep position electrode collection and the electrode implanting requirement of intracranial multiple point (brain area).

The invention discloses a neural pulse rapid sorting method and system based on a multi-stage self-adaptive strategy. The neural pulse rapid sorting method and system are suitable for real-time processing of MEA, multi-channel electrophysiology, deep brain recording and brain-computer interface data. The system comprises a data import module, a preprocessing module, an adaptive threshold detection module, a waveform feature extraction module, a multi-scale clustering module, a template updating module, a quality evaluation module and a result export module. According to the system, a dual-channel parallel high-pass filtering and self-adaptive MAD threshold value method is adopted, and real-time pulse detection which is free of artificial participation and can be directly carried out through CPU peak-splitting sorting is achieved; in the clustering stage, UMAP dimension reduction and HDBSCAN dense clustering are combined, and noise drift self-calibration in continuous records is supported; the template updating strategy is based on dynamic time warping (DTW) and Bayesian fusion, and can automatically eliminate false peaks, merge similar templates and split aliasing units. The system supports large-scale batch processing accelerated by the GPU, and the data processing time of 32 channels and the sampling rate of 20 kHz in one hour is shortened to 1-2 minutes. The method solves the problems that the speed is low, parameters highly depend on expert experience, drift correction is insufficient and repeatability is poor in existing spike sorting, and can be applied to neuroscience research, brain-computer interface and disease mechanism research and clinical electrophysiology monitoring.

The present application relates to the field of experimental animal behavior and neuroscience research technology, and relates to a multi-modal sensor-based experimental animal physiology and behavior synchronous analysis system, which comprises: an integrated sensing module, which applies uniform time stamps to the original time stamps of multi-sensor data through a hardware synchronization bus and a high-stability clock source; a data aggregation and processing unit, wherein a time alignment module generates synchronous fusion data streams accordingly, a causal analysis module performs online real-time calculation on the data streams through a sliding time window, and a Granger causality test is used to dynamically identify causal correlation events between the nervous system and behavior; and a feedback stimulator, which is used to apply stimulation within a millisecond-level delay after the causal events are identified, thereby constituting a closed loop. The present application solves the problem of high-precision synchronization of multi-modal data in a free activity scenario, realizes a leap from a "correlation" to a "causality" based closed-loop intervention paradigm, and provides a powerful tool for neurobehavioral research.

The application discloses a cross-scale consciousness synchronization quantification underlying method, through collecting neural level synchronization indexes (alpha / beta wave coherence), quantum enhancement factors (axion / gravitational wave weak disturbance contribution values) and external interference factors (environment / physiological noise parameters), standardizing multi-dimensional data to a unified interval, and substituting into a basic formula to calculate a consciousness synchronization degree basic value; a biological coupling factor (brain long axis signal standardized value) and an entropy-containing factor (gravitational wave weak disturbance value) can be introduced to optimize weight distribution and improve quantification precision. The application realizes fusion calculation of neural and quantum multi-scale data, effectively improves the accuracy and robustness of consciousness synchronization quantification, and is suitable for brain-computer interface, consciousness monitoring, neuroscience research and other scenes.

This invention discloses a passive running device for a mouse with its head fixed, comprising a base plate, a support assembly, a head fixation component, and a running mechanism. The support assembly is disposed on the base plate. The head fixation component is used to fix the head of the mouse and is detachably connected to the support assembly. The running mechanism is disposed on the base plate and includes a driver and a running belt assembly. The head fixation component is located above the running belt assembly to restrain the mouse on the running belt assembly. The driver is driven by the running belt assembly to drive the running belt assembly, enabling the mouse on the running belt assembly to passively perform running movements. This invention, by fixing the head of the mouse and utilizing the movement of the running belt assembly to passively induce running movements, can assist in observing the two-photon neuronal electrical signals of the mouse during running using a two-photon microscopy system, and observe the cerebellar neuronal firing patterns during movement, thus contributing to neuroscience research.

The invention relates to the technical field of brain-computer signal recognition, and discloses a brain state recognition method and device for a dynamic brain network based on electroencephalogram phase amplitude coupling, and the method comprises the steps: obtaining a multi-channel electroencephalogram signal, and constructing the dynamic brain network based on the electroencephalogram phase amplitude coupling; the method comprises the following steps: performing community analysis on a brain network through a community detection method, determining a consensus node community structure of each time slice, comparing the similarity of the network community structures among the time slices, and analyzing a cross-subject and cross-time stable community state of the dynamic brain network as a reference state by adopting consensus clustering and K-means clustering algorithms. And performing similarity fitting on the brain network of the original time slice and the reference state, and extracting a space-time dynamic index of a brain network community state to complete brain state recognition. Compared with the prior art, the brain state change can be accurately recognized, and more effective technical support is provided for the application fields of neuroscience research, brain-computer interfaces, cognitive function evaluation and the like.

The invention relates to a nerve regulation device. The nerve regulation and control device is used for generating ultrasonic waves to stimulate vagus nerves. The nerve regulation device comprises an ultrasound generating unit, and the ultrasound generating unit is configured to controllably provide ultrasound waves to a target region of the vagus nerve. The ultrasonic generation unit is configured to provide ultrasonic waves with the frequency ranging from 0.2 MHz to 4 MHz to act on a target area of vagus nerves. According to the nerve regulation and control device, accurate, effective and safe stimulation on vagus nerves can be achieved, and a new solution is provided for neuroscience research and clinical treatment.

The application discloses a closed-loop ultrasonic nerve regulation method and experimental system based on multi-modal monitoring and belongs to the field of biomedical engineering and nerve regulation technology.The system comprises: an adjustable focal length ultrasonic emission module, which realizes continuous adjustment of the focal length by mechanically adjusting a collimator sleeve; a synchronous recording module, which realizes space-time synchronization of stimulation and recording by coaxially integrating a micro multi-modal probe; and an intelligent closed-loop feedback control module, which adaptively adjusts ultrasonic parameters according to real-time nerve signal characteristics.The application solves the problems of poor flexibility, difficulty in cause-effect verification and lack of adaptive capacity of the prior art equipment, realizes flexible targeting, strong cause-effect verification and precise regulation of dynamic interaction with nerves, and provides an efficient and reliable closed-loop tool for nerve science research.

The invention discloses an electroencephalogram signal bad track detection and reconstruction method and device based on deep learning and reservoir calculation fusion, and the method comprises the steps: carrying out the segmentation processing of an obtained multi-channel electroencephalogram signal, and dividing the data of each channel into data segments of a fixed time window; inputting the data segments into a BC-LSTM bad track detection module for abnormal segment identification, and classifying the channels as normal channels or bad tracks according to the proportion and distribution characteristics of the abnormal segments; for a bad track, when enough normal data segments exist, using the data to train a CWRC model to perform signal reconstruction; when normal data segments are scarce or completely missing, adopting a transfer learning method driven by neural electrophysiology similarity to perform reconstruction; and integrating the reconstructed bad track signal with an original normal signal, and outputting complete electroencephalogram data. According to the method, the full-automatic electroencephalogram bad track processing flow is achieved, and a complete solution is provided for large-scale clinical electroencephalogram preprocessing and neuroscience research and application.

The invention relates to the technical field of neuroscience research, in particular to a system for monitoring calcium signal change of a target brain region after smell exposure of a conscious animal in real time and application of the system in neural activity detection. The invention provides a system for monitoring calcium signal change of a target brain region after smell exposure of a conscious animal in real time. The system comprises an optical fiber ceramic ferrule and an optical fiber patch cord connected with the optical fiber ceramic ferrule, wherein the other end of the optical fiber patch cord is connected with an optical fiber recording system; a delivery device for delivering an odorant component at the mouth and nose of an animal. Smell exposure with controllable smell delivery is achieved through the delivery device, real-time monitoring on a target brain region calcium signal of a conscious animal with a fixed head under the smell exposure condition is achieved through cooperation of the controllable smell delivery device and the optical fiber recording system, accurate correlation between smell stimulation and brain region neuron calcium signal change is achieved, and the accuracy of the brain region calcium signal change is improved. And a reliable experimental method and a technical platform are provided for studying an olfactory information processing mechanism and smell-related behaviors.

The time interference electrical stimulation simulation and control system comprises a simulation control unit which is used for receiving MR and / or CT brain images to construct an individual brain tissue model, obtaining a secondary parameter set through reverse solution based on the individual brain tissue model and a preliminary parameter set, obtaining a final parameter set through simulation based on the individual brain tissue model and the secondary parameter set, controlling the electrode group to output the stimulation current under the final parameter set; the display is used for displaying the individual brain tissue model, the reverse solution result and the simulation result, and providing an interactive interface of the simulation control unit to adjust the operation of the simulation control unit; and the electrode group is electrically connected with the simulation control unit and is used for receiving the stimulation current under the final parameter set and discharging at a target electrode position. The system provides parameter storage, real-time monitoring and feedback regulation, can realize modeling, simulation and control integrated closed-loop operation, provides high-precision and repeatable TI electrical stimulation, remarkably improves the individual practicability of a TI electrical stimulation treatment scheme, and is suitable for neuroscience research and disease physiotherapy.

This invention discloses the application of *Enterobacter holmieae* in the synthesis of dihydroouabain, belonging to the field of microbial technology. The dihydroouabain synthesized by *Enterobacter holmieae* in this invention, due to its unique biological characteristics, has broad application prospects in cardiovascular disease treatment, neuroscience research, energy metabolism, and circadian rhythm regulation. The *Enterobacter holmieae* strain described in this invention is preserved under the name *Enterobacter holmieae*. Enterobacter hormaechei Deposited at Guangdong Provincial Center for Microbial Culture Collection, located at 5th Floor, Building 59, No. 100 Xianlie Middle Road, Guangzhou; Deposit date: April 16, 2026; Accession number: GDMCC No:68091.