Cognitive Impairment
Conditions
Keywords
Computerized cognitive training, Artificial intelligence, Scaffolding theory, Cognitive impairment, Personalization
Brief summary
This retrospective study aimed to validate and compare two individualized, closed-loop, AI-driven computerized cognitive training programs with a conventional non-AI training program in a real-world clinical setting. Using objective tablet-recorded data from patients' prior treatment, participants were categorized into three groups according to the training recommendation strategy they actually received. Changes in global cognitive function and specific cognitive domains after 8 weeks of training were compared across groups to evaluate the association between different training strategies and cognitive outcomes.
Interventions
Participants received a multi-domain computerized cognitive training program delivered on a tablet. The program used an AI-based adaptive, closed-loop recommendation strategy to individualize training tasks and difficulty levels, with the goal of maximizing cognitive improvement over the training period.
Participants received a multi-domain computerized cognitive training program delivered on a tablet. The program used an AI-based adaptive, closed-loop recommendation strategy to individualize training tasks and difficulty levels, with the goal of maximizing cognitive task performance during training.
Participants received a conventional computerized cognitive training program delivered on a tablet. Training tasks were randomly selected within the cognitive domains corresponding to participants' symptomatic impairments and difficulty levels were fixed.
Sponsors
Study design
Eligibility
Inclusion criteria
* age ≥ 45 years; * a Montreal Cognitive Assessment (MoCA) score between 10 and 25; * were able to communicate in Mandarin.
Exclusion criteria
* no completion of at least 8 weeks of training; * no engagement in training for ≥ 60 minutes per week; * diagnosis of depression or other psychiatric disorders; * diagnosis of systemic diseases, such as hepatic or renal dysfunction, endocrine disorders, or vitamin deficiencies.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in general cognitive ability from baseline (week 1) to week 8 | From baseline (week 1) to week 8 | The general cognitive ability was assessed by the Cognitive Index, calculated from task performance scores. The CCT platforms recorded the Cognitive Index in real time on a daily basis. Weekly Cognitive Index values were computed as the mean of the daily scores recorded over each 7-day period. The change in Cognitive Index from baseline to week 8 is reported. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Changes in domain-specific cognitive ability from baseline (week 1) to week 8 across seven cognitive subdomains | From baseline (week 1) to week 8 | Seven cognitive subdomains include perception, attention, memory, language, executive function, thinking, and emotion. Domain-specific cognitive ability was calculated by averaging the scores of all tasks targeting the same cognitive domain. The change from baseline to week 8 is reported. |
Countries
China