Investigating a Mindfulness-Based Intervention as an Attentional Network Training to Improve Cognition in Older Adults with Amnestic Mild Cognitive Impairment: A Randomized-controlled Trial
Bibliographic record
Abstract
Episodic memory deficits, often combined with impaired attention, are typical in older adults with amnestic mild cognitive impairment (aMCI). A Mindfulness-Based Intervention (MBI) could promote cognitive decline prevention or remediation through attentional network training. This randomized-controlled trial examined MBI’s effects on objective (tests) and subjective (self-reported) measures of memory and attention, compared to a Psychoeducation-Based Intervention (PBI), in 41 older adults with aMCI. No distinctive benefits of the MBI were observed on objective tests, with both interventions improving attentional control. Moreover, the appreciation of one’s cognitive functioning through questionnaires similarly improved for both interventions. Only in semi-structured interviews did a greater proportion of participants report benefits following the MBI compared to the PBI. This study does not provide sufficient support for the implementation of a MBI to enhance objective cognition by means of attentional network training in aMCI. However, it suggests a positive impact of non-pharmacological interventions on perceived cognition.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".