Use of computer assisted and interactive cognitive training programmes with moderate to severely demented individuals: A preliminary study
Bibliographic record
Abstract
The purpose of this study was to investigate the potential effects of interactive cognitive training and computer-assisted programmes in reducing decline in older adults with dementia. The primary goal of this programme was to maintain participants' level of cognitive function. This study included six moderately to severely demented older adults living in a secured memory-impairment unit within an assisted living community. The participants were assessed with neuropsychological tests prior to, and immediately following, an intensive six-week cognitive training programme. The results showed that the participants improved significantly on measures of overall cognitive function, including short-term memory and cognitive failures. Caregiver reports also indicated significant improvement in the participants' behaviour signs and socialization. Additionally, these participants did not demonstrate significant decline on any of the measures from pre-test to post-test levels. This preliminary study indicates that a combined interactive cognitive training and individual-based computer training programme may effectively reduce decline and even improve some cognitive and behavioural functioning in demented older adults. A follow-up of the participants after four weeks of no training revealed some decline in some of the cognitive and behavioural measures, thus supporting the effectiveness of the training programmes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".