Abstract WMP32: Effect of Immersive Motor-Cognitive Training on Executive Function in Patients With Vascular Mild Cognitive Impairment: Aquasi-Experimental Study
Bibliographic record
Abstract
Background: Cerebrovascular disease is a common cause of vascular cognitive impairment (VCI) and may progress to vascular dementia at a relatively fast rate. Strengthening intervention in patients with mild VCI can delay cognitive decline and prevent vascular dementia. Purpose: To investigate the effect of an immersive motor-cognitive training program on executive function in patients with mild VCI. Methods: A total of 60 patients with mild VCI were divided into two groups: the intervention group (n=30) and control group (n=30). The participants were recruited from an outpatient Neurology clinic between May 2021 and January 2022. The intervention group was received immersive motor-cognitive training for 2 months, while the control group was received traditional motor-cognitive training during the same duration. Before the intervention and at the end of the first and second months of the intervention, executive function was assessed as the primary outcome using the Trail-Making Test (TMT)-A/B. General cognitive, speech function and balance function were evaluated as secondary outcomes using the Mini-Mental State Examination (MMSE)/Montreal Cognitive Assessment (MoCA), Boston Naming Test, and Berg Balance Scale, respectively. Data analysis was performed using independent sample t-test, Chi-Square test, nonparametric test, and generalized estimation equation model. Results: Among 60 patients, 54 were completed the 2 month-follow-up. Our results showed that there is a significant time effect ( F =14.36, P =0.001) regarding the TMT-A score. In addition, significant time (F=7.28, P =0.001) and interaction effects (F=7.43, P =0.001) on the TMT-B score were noted. The MMSE score showed significant time (F=64.66, P =0.001) and interaction effects (F=12.01, P =0.002), and similar results were observed for the MoCA score with significant time (F=38.29, P=0.001) and interaction effects (F=22.89, P =0.001). The time effect of the Boston Naming Test score was also found to be statistically significant ( F =2.92, P =0.003). However, no significant differences were observed in the Berg Balance Scale score. Conclusion: Immersive motor-cognitive training may improve the executive function and general cognitive function in patients with mild VCI.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".