Early Poststroke Experience Differentially Alters Periinfarct Layer II and III Cortex
Bibliographic record
Abstract
Early poststroke rehabilitation effectively improves recovery of function, likely by engaging multiple plasticity processes through use-dependent activation of neural circuits. The loci of such neuroplastic reorganization have not been examined during the initial phase of behavioral recovery. In the current study, we sought to evaluate sub-components of rehabilitation and to identify brain sites first engaged by early rehabilitation. Rats were subjected to endothelin-1 ischemia and placed in either enriched environment (EE), daily reach training (RT), combination of enriched environment and reach training (ER), or standard housing (ST) starting 7 days post ischemia. Functional and histopathological assessments were made after 2, 5, and 10 days of treatment. Animals exposed to 10 days of ER treatment exhibited significantly more use-dependent neuronal activity (FosB/ΔFosB expression) in perilesional cortex than those exposed to EE, RT, or ST treatments. Similar trends were observed in both perilesional striatum and contralesional forelimb motor cortex. This use-dependent plasticity was not explained by differences in neuronal death, inflammation, or lesion volume. The increased activity likely contributes to the neuroplastic changes and functional recovery observed after extended periods of rehabilitation. Importantly, EE or RT alone did not lead to enhanced activity suggesting that combination therapy is necessary to promote maximum recovery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 |
| 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".