13 results about "Working memory" patented technology

The invention provides a working memory ability assessment method and device for dynamic brain network attention fusion, and belongs to the technical field of intelligent medical treatment, and the method comprises the steps: segmenting a BOLD signal time sequence in functional magnetic resonance imaging data, extracting time sequence data of a region of interest, and constructing a functional connection matrix; extracting and fusing spatial dependence and time fluctuation characteristics in the functional connection matrix based on an attention mechanism to obtain a full connection graph; clustering the full connection graph by using multi-head attention to obtain a functional magnetic resonance imaging embedded representation of each testee; training the prediction network by using the functional magnetic resonance imaging embedding representation of the testee; and using the trained prediction network to complete work memory evaluation of the target subject. According to the method, dynamic multi-graph fusion and neuroscience priori knowledge are combined, individual differences and specific noise are eliminated through comparative learning, accurate evaluation of the working memory ability is achieved, and an objective basis is provided for evaluation of the cognitive function.

The invention discloses a dialogue data storage method based on a big language model and a related device, and relates to the field of data storage, and the method comprises the steps: calling a memory encoder to obtain dialogue data of a user and an agent, employing the big language model to carry out key information extraction operation on the dialogue data, and obtaining key information, carrying out integrity verification and rationality verification on the key information; if the verification is passed, carrying out importance evaluation on the key information to obtain an importance evaluation value; and respectively storing the key information in a long-term memory database, a short-term memory database or a working memory database according to the importance evaluation value. The purpose of reliable storage of the dialogue data is achieved based on the large language model.

The invention relates to the technical field of medical treatment, and particularly discloses a training method for delaying development of Alzheimer's disease, which comprises the following steps: (a) a neural pathway activation stage: generating a dynamic three-dimensional space navigation task through a virtual reality system and displaying a color coding path to a patient; the method comprises the following steps: (c) a lymphatic driving stage: starting a 40Hz multi-mode stimulation combination after metabolic regulation reaches the standard, and (d) a closed-loop optimization stage: detecting saliva exosome A beta 42 concentration or EEG gamma wave power every two weeks, each time is 40 minutes every day, and the steps (a)-(b)-(c) are executed in sequence; neuropathology is improved, compared with the prior art, the hippocampus atrophy rate is remarkably reduced, the A beta 42 pathological deposition removal efficiency is high, and the white matter fiber integrity is improved; the cognitive function of the patient is enhanced, the space navigation capability is optimized, and the attention and work memory are improved.

The present application discloses a system and interactive method for evaluating the cognitive function of a subject based on fNIRS. The head cap and near-infrared light emitting / receiving probe in the system enable the imaging range to cover the frontal lobe, temporal lobe, and occipital lobe; the cognitive assessment paradigm interactive device sequentially executes the inhibitory control assessment paradigm, the alert attention assessment paradigm, the selective attention assessment paradigm, the core attention network assessment paradigm, the working memory assessment paradigm, and the cognitive control assessment paradigm in a single-block mode in an order of execution from simple to difficult; the signal acquisition device collaboratively collects near-infrared brain function imaging time series data during the sequential execution of each assessment paradigm; the processing device evaluates the cognitive function of the subject based on the near-infrared brain function imaging time series data and the behavioral data generated based on the assessment paradigm. The present application can obtain brain function data of more dimensions associated with cognitive function in a relatively short period of time, which is convenient for clinical evaluation and analysis of the cognitive function of the subject from multiple angles based on fNIRS.

The application discloses a kind of globally optimized supervised multimodal image fusion method, pre-processes each modality brain image data, and carries out feature extraction;The features of each modality obtained are pre-processed, and the feature matrix of each modality after pre-processing is obtained;The independence of the independent component of each modality obtained is calculated;Solve the optimal solution of the mixing matrix when the independence of the independent component of each modality, the correlation between the mixing matrix of each modality and the correlation between the mixing matrix of each modality and reference information are maximized.The global optimal solution is obtained by maximizing the independence of the independent component, and simultaneously maximizing the correlation square sum between the independent component and the reference information between the independent component of each modality, so as to obtain the global optimal solution.By introducing working memory score as reference information, the synergistic covariant component related to clinical index and relatively independent in space is identified specifically, so as to further dig the interaction between cognitive ability and multimodal neural image in mental illness.

The invention provides application of Alda-1 in preparation of a preparation for improving a cognitive function, and belongs to the technical field of biological medicines. According to the method, the improvement effect of Alda-1 on cognitive competence is evaluated from the perspectives of working memory, suppression control, visual discrimination and the like, and results show that Alda-1 can improve the working memory ability, the suppression control ability and the visual discrimination ability. Therefore, the invention provides a safe and effective solution for developing new application of the Alda-1 medicine, guaranteeing the visual cognition ability of special occupational people and treating early neurological and mental diseases accompanied by visual cognition impairment.

This invention discloses a non-human primate visual-spatial working memory testing cage. This invention uses a non-human primate visual-spatial working memory testing cage to measure the learning, discrimination, and reversal abilities, or cognitive and memory abilities, of non-human primates, providing a more comprehensive evaluation of changes in animal brain function and behavior. It can provide a model evaluation tool for central nervous system diseases such as Alzheimer's disease and stroke, and offer new methods for disease research and new drug development.

The application provides a dynamic brain network attention fusion working memory capacity evaluation method and device, and belongs to the technical field of intelligent medical treatment. The method comprises the following steps: segmenting a BOLD signal time sequence in functional magnetic resonance imaging data, extracting time sequence data of a region of interest, and constructing a functional connection matrix; extracting and fusing spatial dependence and time fluctuation characteristics in the functional connection matrix based on an attention mechanism to obtain a full connection graph; using multi-head attention to cluster the full connection graph to obtain functional magnetic resonance imaging embedding representation of each subject; training a prediction network by using the functional magnetic resonance imaging embedding representation of the subject; and completing working memory evaluation of a target subject by using the trained prediction network. The application combines dynamic multi-graph fusion and neuroscientific prior knowledge, eliminates individual differences and specific noise by using contrast learning, realizes accurate evaluation of working memory capacity, and provides an objective basis for evaluation of cognitive function.

The invention provides a neuroprotective effect of DIRAS1 on Alzheimer's disease (AD), and belongs to the technical field of biological medicine. The invention provides application of a reagent for overexpressing a DIRAS1 gene in preparation of a medicine for preventing and / or treating AD by taking the DIRAS1 gene as a therapeutic target of AD. The treatment of a model mouse in the embodiment finds that the DIRAS1 gene is over-expressed in the brain of the AD mouse, and the cognitive function detection finds that the recognition memory, the working memory and the long-term spatial learning memory of the AD mouse can be remarkably improved; morphological and molecular biological detection finds that deposition of A beta and excessive phosphorylation of Tau protein are reduced, and Golgi staining and western blot detection finds that damage to a synaptic structure is reduced and expression of synaptic related protein is increased. Therefore, the cognitive function, pathological characteristics and synaptic plasticity of AD mice can be improved by a method of overexpressing the DIRAS1 gene.

Insomnia is a widespread health issue affecting cognitive abilities. Eurycoma Longifilia (EL), a Southeast Asian adaptogen herb known for its aphrodisiac use. This open-label clinical human trial examined EL's impact on treating insomnia looking at sleep, cognitive functioning, and psychological well-being. 46 healthy participants aged 21-41, with Insomnia Severity Index (ISI) score ≥8 took one 200mg EL extract capsule daily for 6 weeks and completed ≥ 90% of dosage. Assessments including ISI, Inquisit Stroop task, Digitspan, WHO-QOL were done at pre-intervention (T0), 3 weeks (T1), 6 weeks (T2), and 10 weeks (T3). Differences for assessments between each timepoints and T0 were assessed using Linear Mixed Model analysis with participants as a random effect. EL improved psychological well-being, sleep quality and consequently cognitive flexibility, working memory.

The invention provides application of dextro-serine in preparation of a medicine for reducing the mental wandering level of a user. The dextro-serine can effectively reduce mental wandering in work memory refreshing, suppression control and cognitive conversion, so that the influence of spontaneous mental wandering (such as distraction, white dreaminess and the like) on related activities in special work, long-time driving, key examination or evaluation, electronic competitions and other high-intensity competitive activities is reduced; and the risk is reduced or the score is improved.

The invention relates to an early screening system based on Alzheimer's disease, which belongs to the technical field of early screening of Alzheimer's disease and comprises an interactive sensing module, a behavior capture module, a gait analysis module, a feature extraction module, an intelligent analysis module and a feedback output module. The interactive perception module is used for presenting and dynamically adjusting a work memory backtracking task, a scene memory reconstruction task and a meta-memory task, and the behavior capture module is used for collecting eye movement data of a user in the testing process. According to the method, behavior indexes and AD core biomarkers are clearly associated, so that the screening result has a neuropathology basis, the scientificity and interpretation of evaluation are enhanced, the system has a self-optimization function, the model can be updated through continuous learning increment, and a visual three-dimensional cognitive map and personalized intervention suggestions are output, so that the system has a good application prospect. An efficient and quantifiable decision support tool is provided for clinical diagnosis and health management, and finally non-invasive, low-cost and efficient early risk prevention and control of the Alzheimer's disease are achieved.

The application discloses a kind of children brain wisdom cognitive development ability evaluation method and system, comprising: receiving user identity information, including age, gender and education stage;Build the evaluation model covering six one-level dimensions and eight two-level dimensions, the one-level dimension includes memory, self-control, thinking force, reaction force, attention, space force, the two-level dimension includes short-term memory, working memory, inhibition control, task switching, processing speed, logical thinking, concentration, visual perception space;Randomly extract target game task set from task library, the task set covers the evaluation requirement of at least three one-level dimensions.The application proposes an evaluation method and system for children's cognitive ability, in the evaluation process of gamification, the system comprehensively covers the six cognitive fields, aiming to provide a scientific and comprehensive solution for children's cognitive development evaluation.