EFFECT OF INTENSIVE COGNITIVE TRAINING ON COGNITION AND FUNCTIONAL STATUS IN ACUTE STROKE PATIENTS WITH POST STROKE COGNITIVE IMPAIRMENT – A QUASI-EXPERIMENTAL STUDY
Bibliographic record
Abstract
Background: Stroke is the second leading cause of death and a major contributor to disability worldwide.The blood supply to the brain is controlled by two internal carotid arteries anteriorly and two vertebral arteries posteriorly.Ischemic stroke is caused by the deficiency of blood and oxygen supply to the brain.Haemorrhagic stroke is caused by bleeding or punctured blood vessels.AIM: The aim of the study is to investigate the effect of intensive cognitive training on cognition and functional status in acute stroke patients with post stroke cognitive impairment.Methodology: Two groups were taken including the experimental group which received Intensive cognitive functional training combined with routine rehabilitation training and control group which received routine rehabilitation training.A minimum of 30 patients were recruited for the study and were divided into two groups, the total protocol duration was of 3 weeks.The patient received two training sessions twice a day, for 60 minutes.Outcome measures included Modified Barthel Index (MBI) and Montreal cognitive assessment (MoCA).Results: The results of the study showed that there was statistically significant difference in Control Group A and Experimental Group B. Therefore, the Experimental Group showed greater improvement for outcome measure MoCA and MBI as compared to Control Group.Conclusion: In conclusion, intensive cognitive training appears to enhance cognitive function in acute stroke patients with PSCI, with significant effects observed by the 21st day.These findings highlight the importance of structured cognitive rehabilitation in stroke recovery.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".