Intermittent Hypoxia Elicits Prolonged Restoration of Motor Function in Human SCI
Bibliographic record
Abstract
Abstract : At the University of Wisconsin, progress was made in the second year of this award, although our ability to complete the project was limited by the departure of a key person. Thus, we applied for a no-cost-extension and will be completing the work within this new, three year time frame. The fundamental goal in Wisconsin is to test the hypothesis that repetitive intermittent hypoxia combined with treadmill training significantly increases protein expression of proteins associated with spinal motor plasticity (BDNF and its high affinity receptor, TrkB). These assessments will complement behavioral data collected at the University of Saskatchewan, and parallel experiments in humans with SCI at Emory University and the Rehabilitation Institute of Chicago. In this second year of the grant, tissues were processed for immunohistochemistry and the extensive densitometry analyis was pursued. Analyses are based on five treatment groups of rats with cervical injuries: 1) shelf controls; 2) sham surgery; 3) daily treadmill training for five days; 4) intermittent hypoxia for five days; and 5) combined intermittent hypoxia and treadmill training. Groups were collected at six time points, to determine the duration of changes in protein expression. In the next year, we plan to complete immunohistochemical analyses, combine our results with parallel behavioral studies at the two collaborating sites and prepare a manuscript for publication.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".