Examining the effects of computerised cognitive training on levels of executive function in adults with Down syndrome

2019 
BACKGROUND: Individuals with Down syndrome (DS) are at much greater risk of developing Alzheimer's disease, and one of the early clinical symptoms of Alzheimer's disease is executive dysfunction. In the general population, cognitive training has shown some promising results in relation to maintaining or improving cognitive processes. There is currently a gap in the literature in relation to cognitive training for adults with DS. METHODS: A quasi-experimental mixed factorial design with partial crossover was used involving an 8-week intervention period using a brain training programme. Participants were matched on age and then randomly assigned to either the intervention group or the delayed intervention group. Forty adults with DS, aged between 30 and 49 and with a mild or moderate level of intellectual disability, participated in the study. All participants completed baseline measures of executive function, using both neuropsychological assessments and an informant-rated measure of behavioural executive function. The intervention group first completed the training and then the delayed intervention group. Executive function assessments were repeated for both groups following the training. RESULTS: The study aimed to examine whether a cognitive training programme could have an effect on levels of executive function. While conclusions are limited owing to small sample size, improvement was seen in neuropsychological assessments of executive function following cognitive training. Positive effects reflected in everyday behaviours were not as promising. CONCLUSIONS: This study showed that, while it has not been previously an area of focus, individuals with DS can complete a computerised cognitive training programme. Furthermore, the results were promising with significant improvements found in neuropsychological assessments of executive function. These findings need further investigation with a larger sample size and would benefit from the use of a brain imaging component to strengthen the findings.
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