Livin' on the Edge: Imaging Dendritic Spine Turnover in the Peri-Infarct Zone during Ischemic Stroke and Recovery
Bibliographic record
Abstract
The spontaneous recovery of sensory, motor, and cognitive functions after stroke is thought to be mediated primarily through the reorganization and rewiring of surviving brain circuits. Given that dendritic spine turnover underlies rewiring during normal development and plasticity, this process is likely to play a key role in mediating functional changes that occur during and after stroke. Recently, a new approach has been taken using two-photon microscopy to monitor, in real time, the temporal and spatial progression of dendritic plasticity in the living animal, both while it is experiencing the initial ischemic episode as well as during long-term recovery from stroke damage. Here, we highlight recent evidence showing that stroke can trigger extensive changes in the relatively hardwired adult brain. For example, when dendrites are challenged by acute ischemia, they can disintegrate within minutes of ischemia and rapidly reassemble during reperfusion. Over longer time scales, dendrites in the surviving peri-infarct zone show heightened levels of spine turnover for many weeks after stroke, thereby raising the possibility that future stroke therapies may be able to facilitate or optimize dendritic rewiring to improve functional 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".