CN-121796780-B - Dynamic cognition regulation and control system

CN121796780BCN 121796780 BCN121796780 BCN 121796780BCN-121796780-B

Abstract

The application relates to the technical field of nerve regulation and control, in particular to a dynamic cognitive regulation and control system which is suitable for dynamic cognitive regulation and control of different types of task norms and aims at the dynamic cognitive regulation and control of each type of task norms, wherein the system comprises a cognitive function task module, a cognitive function management module and a cognitive function management module, wherein the cognitive function task module is used for establishing a mapping relation between the task norms and cognitive functions and a mapping relation between the cognitive functions and brain functional areas; the system comprises a data analysis module for analyzing cognitive function behavior data and cognitive function brain imaging data to obtain behavior indexes and brain imaging characteristics, a regulation and control module for executing cognitive regulation and control on a user according to regulation and control parameters set by a cognitive ageing risk probability judgment result of the user, an evaluation module for comparing a current training result of the user with a historical training result to obtain an evaluation result and dynamically adjusting regulation and control parameters of the next round of cognitive regulation and control according to the evaluation result to realize the dynamic monitoring and regulation and control on the cognition.

Inventors

LI AO
HUANG MINQIANG
WANG WEI

Assignees

上海术理智能科技有限公司
上海通用术理智慧医疗脑科学研究院

Dates

Publication Date: 20260512
Application Date: 20260306

Claims (9)

1. A system of dynamic cognitive regulation, wherein the system is adapted for dynamic cognitive regulation of different types of task paradigms, the system comprising, for each type of task paradigm, the following modules: The cognitive function task module is used for setting task parameters of a task paradigm, establishing a mapping relation between the task paradigm and a cognitive function and a mapping relation between the cognitive function and a brain function area, and mapping the cognitive function to the brain function area; the cognitive function data acquisition module is used for acquiring cognitive function behavior data and cognitive function brain imaging data of a user when the task paradigm is completed in each round of cognitive regulation and control of the task paradigm; The data analysis module is used for analyzing the cognitive function behavior data to obtain behavior indexes representing different cognitive function states in each round of cognitive regulation of the task paradigm, and analyzing the cognitive function brain imaging data to obtain brain imaging characteristics of brain activation modes related to the cognitive functions; the regulation and control module is used for executing the cognitive regulation and control on the user according to the regulation and control parameters set by the cognitive ageing risk probability judgment result of the user in each round of cognitive regulation and control of the task paradigm; The evaluation module is used for comparing the current training result of the user with the historical training result in each round of cognitive regulation of the task paradigm to obtain an evaluation result, and dynamically adjusting regulation parameters of the next round of cognitive regulation according to the evaluation result; The system further comprises a data recording module, wherein the data recording module comprises an individual baseline unit, an individual development unit, a group baseline unit and a group development unit, the individual baseline unit is used for collecting and storing cognitive function behavior data and cognitive function brain imaging data of a user when the cognitive regulation is performed for the user for the first time, and establishing an individual initial cognitive function baseline model of an individual layer, the individual development unit is used for continuously collecting and storing the cognitive function behavior data and the cognitive function brain imaging data of the user in each regulation process after the cognitive regulation is performed for the user for the first time, and establishing an individual development change model of a cognitive function state change track of an individual layer with time for the user, the group baseline unit is used for establishing a group initial cognitive function baseline model of a group layer according to the individual baseline unit of each user, and the group development unit is used for establishing a group development change model of a cognitive function state change track of the group layer according to the group development unit of each user.
2. The system of claim 1, wherein the cognitive function task module further comprises a function mapping unit for mapping the task paradigm to one or more cognitive functions, the function mapping unit comprising a first mapping subunit, a second mapping subunit, and a fusion subunit; the first mapping subunit is configured to evaluate satisfaction of the task paradigm on each cognitive function to obtain a first mapping relationship; The second mapping subunit is configured to obtain text information corresponding to the task paradigm, and determine, according to the text information, occurrence frequency of each cognitive function in the text information to obtain a second mapping relationship; The fusion subunit is configured to fuse the first mapping relationship and the second mapping relationship to implement mapping between the task paradigm and one or more cognitive functions.
3. The system of claim 2, wherein the cognitive function task module further comprises a brain region mapping unit for mapping each cognitive function with one or more brain function regions, respectively, the brain region mapping unit comprising a brain activation map processing subunit and a brain region mapping subunit; the brain activation pattern processing subunit is used for acquiring a brain activation pattern related to the cognitive function, and processing the brain activation pattern according to a preset activation threshold to obtain an activation condition pattern; the brain region mapping subunit divides a standard space into a plurality of brain function regions by using a brain region division map, registers the activation condition map to the standard space to obtain the number of the cognitive functions which are identified as being activated on different brain function regions, and obtains the mapping relation between each cognitive function and one or more brain function regions according to the number.
4. The system of claim 1, further comprising an early warning module comprising an individual longitudinal comparison unit, a longitudinal early warning unit, a population transverse comparison unit, and a transverse early warning unit; The individual longitudinal comparison unit is used for comparing the behavior index and the brain imaging characteristic of the user in the current round of cognitive regulation with the behavior index and the brain imaging characteristic in the individual base line unit of the user to obtain the variation trend and the cognitive ageing risk probability of the user in the cognitive function; The longitudinal early warning unit is used for judging that the cognitive change of the user meets the risk condition according to the change trend and the cognitive ageing risk probability, and carrying out early warning; The group transverse comparison unit is used for comparing the behavior index and the brain imaging characteristic of the user in the current round cognitive regulation with the behavior index and the brain imaging characteristic in the user group baseline unit, determining the deviation of the individual relative to the group, and determining the cognitive ageing risk probability according to the deviation; and the transverse early warning unit is used for judging that the cognitive aging risk exists in the user and carrying out early warning when the cognitive variation of the user meets the risk condition according to the cognitive aging risk probability.
5. The system of claim 1, wherein the regulatory module further comprises a regulatory parameter setting unit that initializes and adjusts regulatory parameters, and a cognitive regulatory execution unit that performs cognitive regulation according to the determined regulatory parameters; The control parameter setting unit is used for determining a stimulation position of cognitive control according to the current cognitive ageing risk index of a user and the mapping relation between cognitive functions and brain function areas, and adjusting stimulation intensity and stimulation duration within a preset safety range, wherein the stimulation position is the brain function area corresponding to high-risk cognitive functions, and the cognitive control intensity and control time dynamically increase along with the increase of the cognitive ageing risk probability.
6. The system of claim 1, further comprising a neural feedback module for reflecting immediate modulation results from modulation of the neural activity of the user; The nerve feedback module is used for calculating nerve index variation before and after cognitive regulation training of a user and mapping the nerve index variation into nerve feedback parameters, wherein the nerve feedback parameters comprise nerve feedback signal intensity, nerve feedback duration and nerve feedback presentation mode, and presenting corresponding feedback information to the user.
7. The system of claim 6, wherein the neuro-feedback signal strength is a neuro-index difference of brain function areas related to cognitive functions before and after performing cognitive regulation, the neuro-feedback duration is dynamically regulated by the neuro-feedback signal strength within a safe interval, the neuro-feedback presentation is in a form of single mode and multiple modes, wherein a visual mode is a brain function area activation represented by a visual presentation neuro-feedback signal, an auditory mode is a volume and a frequency regulated by an auditory presentation neuro-feedback signal, and a tactile mode is a bracelet vibration strength and a frequency regulated by a tactile presentation neuro-feedback signal.
8. The system of claim 7, wherein the evaluation module further comprises an adjustment unit; The adjusting unit is used for evaluating the adjusting result according to the cognitive ageing risk change condition and task behavior change of the user after cognitive adjustment and nerve feedback, and adjusting the adjusting parameters of the subsequent round of cognitive adjustment tasks according to the evaluating result.
9. The system of claim 8, wherein the adjustment unit is further configured to increase difficulty or training intensity of the cognitive adjustment task when the adjustment result meets the preset requirement and the cognitive aging risk is in a decreasing trend, and to decrease task difficulty, extend task interval, or decrease training amount when the adjustment result does not meet the preset requirement or the fatigue sign occurs.

Description

Dynamic cognition regulation and control system Technical Field The application relates to the technical field of nerve regulation and control, in particular to a dynamic cognitive regulation and control system. Background Cognition refers to a series of psychological and neurological processes for individuals to acquire, process, store and use information, which is the process by which humans process information. The cognitive ability determines the speed and quality of information acquisition and processing of individuals, and is a precondition for advanced functions such as learning, decision making, emotion adjustment, social interaction and the like to be realized. Not only supporting basic activities in daily living, but also directly influencing the adaptability and problem solving capability of individuals in complex environments. From the perspective of cognitive neuroscience, a series of processes of cognition are well not functional products of a single brain region, but complex processes commonly implemented by multiple functional systems distributed throughout the brain and through their dynamic interactions. In recent years, the non-invasive brain-computer interface technology has a wide application prospect in the field of cognitive function evaluation and regulation. The technology realizes the real-time acquisition and analysis of the brain nerve activity on the premise of no implantation by means of electroencephalogram, near-infrared brain imaging technology and the like, and provides an important tool for revealing the nerve mechanism of the cognitive process and the dynamic characteristics of the cognitive process along with age. In particular to a near-infrared brain imaging technology, which is based on the principle that the scattering and absorption characteristics of near-infrared light in biological tissues are utilized to detect the hemodynamic changes of cerebral cortex so as to indirectly reflect the state of neural activity. The device has small volume, strong wearability and low requirement on motion limitation, is suitable for task state measurement, and is more suitable for cognitive detection in long-term, repeated and natural scenes. However, the existing technical scheme based on near infrared brain imaging is mainly used for detecting or evaluating the cognitive state, the core function of the technical scheme is to acquire the neural activity information of a user in the cognitive task process, however, the scheme generally separates the cognitive state detection from the subsequent training process, and the detection result is mostly used for off-line analysis or static evaluation. Disclosure of Invention The application aims to provide a dynamic cognition regulation and control system which takes cognition task induction as a core, is based on joint analysis of functional near-infrared brain imaging data and behavior data, and combines longitudinal individual modeling and group comparison analysis to realize cognition state assessment, risk early warning and regulation and control effect feedback. In some embodiments, the application provides a dynamic cognitive regulation system which is suitable for dynamic cognitive regulation of different types of task norms, and comprises a cognitive function task module, a cognitive function data acquisition module, a data analysis module, a regulation module and control module, a regulation and control module and a control module, wherein the cognitive function task module is used for setting task parameters of the task norms, establishing a mapping relation between the task norms and cognitive functions and a mapping relation between the cognitive functions and brain function areas so as to map the cognitive functions to the brain function areas, the cognitive function data acquisition module is used for acquiring cognitive function behavior data and cognitive function brain imaging data of a user when the task norms are completed in each round of cognitive regulation and control of the task norms, the data analysis module is used for analyzing the cognitive function behavior data to obtain behavior indexes representing different cognitive function states in each round of cognitive regulation and control of the task norms, the cognitive function brain imaging data is analyzed to obtain brain imaging characteristics of a brain activation mode related to the cognitive functions, the regulation and control module is used for comparing the cognitive function regulation and control result with the current cognitive function regulation and control result in each round of the task norms according to the set and control risk assessment result, and the regulation and control result is used for carrying out a training result in each round of the cognitive regulation and control in the task norms. In some embodiments, the cognitive function task module further includes a function mapping unit, where the function mapping unit is configur