Adaptive Cognitive Training for Working Memory and Processing Speed
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Solution Overview
Problem
Current cognitive training programs fail to effectively target neurocognitive deficits in older adults and those at risk for Alzheimer's disease, particularly in working memory and cognitive control, without causing side effects, being scalable, affordable, and delivering real-world functional efficacy.
Innovation Solution
A closed-loop, individualized adaptive neurocognitive training program, the BirdWatch Game, uses unpredictably cued memory updating to simultaneously train working memory and cognitive control, adjusting difficulty based on participant performance through a dual-pronged approach of increasing memory discriminability and processing speed, with engaging game-based simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current cognitive training programs are used, then they are available and accessible, but they fail to effectively target neurocognitive deficits in working memory and cognitive control
Solution Approach 1:
The training program dynamically adapts difficulty parameters based on real-time user performance. The system adjusts task parameters such as memory load, response time requirements, and stimulus complexity to match the user's current cognitive capacity, ensuring optimal challenge level that targets neurocognitive deficits without causing frustration or disengagement.
Solution Approach 2:
The system modifies multiple training parameters simultaneously including memory discriminability (d'), maximum response time (MaxRT), and task complexity based on performance feedback. These parameter changes are implemented through a dual-pronged approach that increases both memory discriminability and processing speed requirements, directly targeting the core neurocognitive deficits in older adults.
2Reliability
If training difficulty is increased to improve efficacy, then cognitive function improvement is enhanced, but user engagement and adherence may decrease
Solution Approach 1:
The system implements continuous performance monitoring and feedback mechanisms that provide users with real-time information about their progress, accuracy, and improvement. This feedback loop allows users to see tangible results from their training, maintaining motivation and adherence even as difficulty increases. The system adjusts difficulty based on performance thresholds while providing encouraging feedback to sustain engagement.
Solution Approach 2:
Difficulty parameters are dynamically adjusted based on performance thresholds rather than being fixed. When users achieve certain performance levels, the system automatically modifies task parameters to increase challenge, ensuring that training remains optimally difficult without becoming overwhelming. This dynamic adjustment maintains user engagement by adapting to individual progress rates.
3Reliability
If multiple cognitive functions are trained simultaneously, then comprehensive cognitive improvement is achieved, but training complexity and resource requirements increase
Solution Approach 1:
The training program merges multiple cognitive training functions into a unified game-based system. Working memory training, cognitive control training, and processing speed training are integrated into a single adaptive platform that simultaneously targets multiple neurocognitive domains. This consolidation reduces the complexity of managing separate training programs while achieving comprehensive cognitive improvement through coordinated multi-component training.
Data Source
AI summary
A digital method of therapeutic brain stimulation is provided. The method comprises presenting to a user in a UI a group of trials by sequentially displaying symbols against a background. The symbols are randomly displayed one at a time against one several contexts in the background to stimulate the user's parietal or frontal lobes or motor cortex. A user response is received for each display of a symbol indicating whether the symbol is the same or different from an immediately prior symbol for the same context, wherein each trial has a maximum allowed response time for the user input after which any response is counted as a false alarm. A user score is generated for the group of trials, wherein the score compares correct identification and incorrect false alarm responses for the group of trials against a user score of a previous group of trials.