Ischemic stroke rehabilitation through endurance training of varying intensity and duration in male Sprague-Dawley rats.
Bibliographic record
Abstract
Objectives: This research aimed to investigate the effect of 2 types of exercise on apoptosis, neurogenesis, and angiogenesis factors in the penumbra area of stroke during the rehabilitation period after stroke. Materials and Methods: A transient distal middle cerebral artery occlusion (td-MCAO) model was used to induce stroke and after that, the animals were randomly divided into three groups: stroke, stroke + continuous exercise with increasing duration (CTID), and stroke + exercise with increasing intensity (CTII). At 24 hr spost-stroke , MRA, neurological deficit, and behavioral tests were conducted, and also continuous exercises were conducted for five consecutive days, Finally, MRI and behavioral tests were performed, and 24 hr after that, tissue separation and blood sampling were performed to evaluate plasma irisin, Extracellular Signal-Regulated Kinases 1 and 2 (ERK1/2) / cAMP Response Element-Binding Protein (CREB) / 90 kDa Ribosomal S6 Kinase (P90RSK) pathway, Vascular Endothelial Growth Factor (VEGF) / Vascular Endothelial Growth Factor Receptor 2 (VEGF-R2), and Brain-Derived Neurotrophic Factor (BDNF) / Tropomyosin Receptor Kinase B (TrKB) levels. for statistical analysis, one-way and two-way ANOVA tests were used at the significance level of P<0.05. Results: <0.05). Conclusion: The findings of the present study showed it seems that doing exercises with moderate intensities and gradually increasing the duration of exercise in the acute phase after stroke can be considered a suitable treatment in future research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".