Cognitive decision-making evaluation method and system based on multi-dimensional layered drift-diffusion model

Abstract

The invention discloses a cognitive decision evaluation method and system based on a multi-dimensional hierarchical drift diffusion model. The method includes the following steps: for healthy subjects, establish a multi-dimensional hierarchical drift-diffusion model at the cohort level, obtain the sensitivity thresholds and their probability distributions and overall metacognitive processing of healthy subjects in each cognitive domain The sensitivity threshold of efficiency and its probability distribution are used as the norm for healthy people; for each MCI patient, a multi-dimensional hierarchical drift diffusion model is established at the individual level to obtain the sensitivity threshold of MCI patients in each cognitive domain and its probability distribution. The probability distribution and the sensitivity threshold of the overall metacognitive processing efficiency and its probability distribution are used as indicators to be measured. By comparing the relative positions of the parameters of MCI patients in the norm of healthy people, it is possible to accurately assess the impaired ability of MCI patients, and promote early detection, early intervention and early treatment of impaired decision-making ability.

Description

technical field [0001] The invention relates to a cognitive decision-making evaluation method based on a multidimensional layered drift diffusion model, and also relates to a corresponding cognitive decision-making evaluation system, belonging to the technical field of cognitive psychology. Background technique [0002] Individuals experience some degree of cognitive decline during the aging process. Mild Cognitive Impairment (MCI) is a prodromal state of Alzheimer's disease, an intermediate state between normal aging and dementia, and can be used as a "predictor" of Alzheimer's disease. With the development of computer modeling technology, the Drift Diffusion Model (DDM for short) has gradually emerged and has been rapidly applied to psychology, especially to cognitive decision-making tasks. DDM simulates and refines the neural dynamic process of the human brain in decision-making tasks by separating the potential decision-making components contained in individual behavior...

AI Technical Summary

Problems solved by technology

However, the existing HDDM is limited to modeling a single cognitive decision-making task and the decision-making process of subjects in the paradigm at the individual and group levels, and has not been extended to the context of clustering multiple cognitive decision-making tasks. Integrate and assess the sensitivity threshold and overall metacognitive processing efficiency of different cognitive domains of individuals (divided into three categories: sensory perception, advanced cognition and social cognition)

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