Overlapping mechanisms of epidural spinal cord stimulation for pain control and movement recovery
Bibliographic record
Abstract
PURPOSE OF REVIEW: Spinal cord stimulation (SCS) for pain control and movement recovery have developed under parallel conceptual frameworks. SCS for pain has traditionally targeted the dorsal columns, while SCS for movement recovery has targeted the large-diameter afferent fibers near the dorsal root entry zone. We review the evidence to support these parallel mechanistic frameworks and explore potential mechanistic overlap between the two fields. RECENT FINDINGS: Recent advances in closed-loop stimulation for pain and dorsal root (DR) stimulation for movement recovery speak to the value of these parallel mechanistic models in each field. However, review of the devices, electrode placement, and stimulation parameters used in both fields reveals overlap in the doses of SCS considered effective in each. Furthermore, evidence from finite element modeling suggests overlapping recruitment of dorsal column and dorsal root fibers from both midline and lateral stimulation. SUMMARY: There is evidence to support overlapping mechanisms of SCS for pain and movement recovery. The implications of potential mechanistic overlap warrant further investigation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".