Recruitment of unmyelinated C-fibers mediates the bladder-inhibitory effects of tibial nerve stimulation in a continuous-fill anesthetized rat model
Bibliographic record
Abstract
Although percutaneous tibial nerve stimulation is considered a clinically effective therapy for treating overactive bladder, the mechanism by which overactive bladder symptoms are suppressed remains unclear. The goal of the present study was to better understand the role of specific neural inputs (i.e., fiber types) on the bladder-inhibitory effects of tibial nerve stimulation (TNS). In 24 urethane-anesthetized rats, a continuous suprapubic saline infusion model was used to achieve repeated filling and emptying of the bladder. A total of 4 TNS trials (pulse frequency: 5 Hz) were applied in randomized order, where each trial used different amplitude settings: 1) no stimulation (control), 2) Aβ-fiber activation, 3) Aδ-fiber activation, and 4) C-fiber activation. Each stimulation trial was 30 min in duration, with an intertrial washout period of 60−90 min. Our findings showed that TNS evoked statistically significant changes in bladder function (e.g., bladder capacity, residual volume, voiding efficiency, and basal pressure) only at stimulation amplitudes that electrically recruited unmyelinated C-fibers. In a subset of experiments, TNS also resulted in transient episodes of overflow incontinence. It is noted that changes in bladder function occurred only during the poststimulation period. The bladder-inhibitory effects of TNS in a continuous bladder filling model suggests that electrical recruitment of unmyelinated C-fibers has important functional significance. The implications of these findings in percutaneous tibial nerve stimulation therapy should be further investigated.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".