Aerobic exercises enhance cognitive functions and brain derived neurotrophic factor in ischemic stroke patients
Bibliographic record
Abstract
BACKGROUND: Stroke is a leading cause of functional impairments. High percentage of these patients will experience some degree of cognitive affection, ranging from mild cognitive impairment to dementia. OBJECTIVE: Demonstrate the role of aerobic exercises enhancing cognitive functions and its effect on Brain Derived Neurotrophic factor (BDNF) in post-ischemic stroke patients in the territory of anterior circulation. SUBJECTS AND METHODS: We included thirty Egyptian ischemic stroke patients in the territory of anterior circulation. They were divided into 2 groups; group 1 (G1) were subjected to physiotherapy program without aerobic exercises and group 2 (G2) were subjected to the same previous program followed by aerobic exercises. Both groups were subjected to pre- and post-treatment Addenbrookes's Cognitive Examination- Revised (ACER) and serum level of BDNF. RESULTS: Our results showed a significant improvement in ACER score in G2 compared to G1 post-treatment (p = 0.017). BDNF serum level significantly increased in G2 post-treatment compared to pre-treatment (p = 0.001) and compared to G1 group (p = 0.0458). ACER improvement was positively correlated to increase in serum level of BDNF (r = 0.53, p = 0.044). CONCLUSION: Aerobic exercises improve cognitive functions of ischemic stroke patients. This improvement is related to the increase in serum level of BDNF.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".