Cognitive Dysfunction Assessment via Sequential Element Selection
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Solution Overview
Problem
Current methods for assessing impulsivity-associated cognitive dysfunction in adult populations are inadequate, particularly for conditions like ADHD and substance abuse, as existing tests are not suitable for adult clinical populations and do not effectively measure reflection impulsivity.
Innovation Solution
A method involving displaying a population of elements to an individual, allowing them to select elements and reveal characteristics, repeating the process to determine which characteristic is possessed by the most elements, and correlating the number of selections with the probability of impulsivity-associated cognitive dysfunction, using a computerized system for data collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the Matching Familiar Figures Test (MFFT) is used to assess reflection impulsivity, then the test can measure cognitive dysfunction in children, but the test is not suitable for adult clinical populations and does not effectively measure reflection impulsivity in adults
Solution Approach 1:
The patent changes the parameters of the test by replacing the visual matching task with a decision-making task involving probability estimation. The test now presents individuals with a population of elements and asks them to select elements and reveal characteristics to determine which characteristic is possessed by the most elements. This parameter change makes the test appropriate for adult populations while maintaining its ability to measure reflection impulsivity.
Solution Approach 2:
The patent segments the assessment into multiple steps: displaying a population of elements, allowing sequential selection of elements, revealing characteristics of selected elements, and requiring the individual to decide which characteristic is possessed by the most elements. This segmentation allows for a more sophisticated measurement of reflection impulsivity in adult populations.
2Reliability
If the MFFT is used to assess impulsivity, then it can identify children with hyperactivity disorders, but it requires substantial visual search and is influenced by impairments in visual working memory and iconic memory
Solution Approach 1:
The patent extracts the core measurement function from the MFFT by removing the visual matching component and retaining only the decision-making aspect. The new test focuses on whether individuals engage in sufficient reflection when making decisions, rather than measuring visual search efficiency. This extraction eliminates the confounding effects of visual working memory and iconic memory impairments.
3Measurement precision
If standard neuropsychological tests are used to assess impulsivity in adults, then they can provide diagnostic information, but they are not sensitive to substance dependence and other impulsivity-related conditions
Solution Approach 1:
The patent creates a universal test that can assess reflection impulsivity across multiple conditions including substance dependence, ADHD, and other impulsivity-related disorders. The test uses the same basic procedure for all conditions: displaying a population of elements, allowing sequential selection, revealing characteristics, and requiring decision-making about which characteristic is most prevalent. This multi-functional approach enables the test to detect impulsivity-associated cognitive dysfunction across different populations.
Data Source
AI summary
This invention relates to methods and means for assessing cognitive dysfunction, in particular impulsivity associated cognitive dysfunction, which may for example include Attention Deficit Hyperactivity Disorder (ADHD), substance abuse, and non-toxic addictive/compulsive behavior. A method may comprise displaying a population of elements to the individual and allowing the sequential selection of elements within the population by the individual. The selection of an element reveals to the individual a characteristic of the selected element which is one of a number of possible characteristics of elements in said population. The sequential selection ends when the individual chooses which of the possible characteristics is possessed by the most elements in the population. The number of elements selected by the individual in making this choice is then correlated to the likelihood that the individual has impulsivity associated cognitive dysfunction.