Spinal cord stimulation (SCS) stabilizes intrinsic cardiac neurons to reduce neurally induced atrial fibrillation
Bibliographic record
Abstract
Objective To determine the contribution of discrete neuronal inputs to the intrinsic cardiac nervous system for targeted reduction of the atrial arrhythmogenic substrate. Methods In 15 anesthetized dogs, trains of electrical stimuli (1 mA, 1ms) were delivered during the atrial refractory period to mediastinal nerves associated with the superior vena cava to induce atrial tachyarrhythmias. Neuronal activity was recorded in the right atrial ganglionated plexus (RAGP). For SCS, the dorsal aspect of the T 1 ‐T 3 spinal cord was stimulated electrically (50 Hz; 0.2 ms; 90% of motor threshold). Results Mediastinal nerve stimulation caused an abrupt increase in RAGP neuronal activity (~5 fold) that was maintained for the duration of transient neurally‐induced atrial fibrillation. SCS reduced basal neuronal activity and mitigated any mediastinal nerve‐induced increases in RAGP neuronal activity. Prior to SCS, mediastinal nerve stimulation evoked atrial fibrillation/atrial flutter (AF/Afl) from 95% of sites. After SCS, atrial rhythms induced by mediastinal nerve stimulation were 38% AF/Afl, 56% bradycardia/sinus rhythm, and 6% sinus tachycardia. SCS likewise reduced dispersion in early pacemaker breakthrough loci secondary to mediastinal nerve stimulation. Conclusions Neuromodulation with dorsal cranial thoracic SCS stabilizes elements within the intrinsic cardiac nervous system to reduce the atrial arrhythmogenic substrate to its excessive neural inputs. (Supported by HL71830)
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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) | 0.000 | 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) | 0.002 | 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".