Stabilization of intrinsic cardiac neuronal processing mitigates neurally induced atrial arrhythmias
Bibliographic record
Abstract
Our objective was to determine whether neuronally‐induced atrial arrhythmias can be suppressed by stabilizing the intrinsic cardiac nervous system. In anaesthetized dogs, trains of 5 electrical stimuli (1 mA; 1 ms) were delivered immediately after the P wave of the ECG to mediastinal nerves associated with the superior vena cava. Regional atrial electrical events were monitored with 191 right and left atrial epicardial unipolar electrodes. Mediastinal nerve sites that reproducibly initiated atrial arrhythmias were identified. These sites were re‐stimulated following hexamethonium (1 mg/kg, iv) blockade or pre‐emptive spinal cord stimulation (SCS: the dorsal aspect of the T1–T3 spinal cord was stimulated electrically at 50 Hz; 0.2 ms; 90% of motor threshold) with parameters sufficient to reduce intrinsic cardiac neuronal activity by 70% for up to 1 hour. Stimulating select mediastinal nerves sites consistently elicited atrial tachyarrhythmias (85% of which progressed to atrial fibrillation, AF) with dispersion of epicardial breakthrough sites. Either hexamethonium or pre‐emptive SCS reduced the incidence of mediastinal nerve‐induced AF (to 11% and 40%, respectively) while increasing pacemaker stability. We conclude that excessive and heterogeneous activation of the intrinsic cardiac nervous system results in atrial arrhythmias. The anti‐arrhythmic effects of stabilizing intrinsic cardiac neuronal processing, via either pharmacological or electrical neuromodulation, indicates a potential novel therapeutic approach to atrial arrhythmia suppression. Supported by the CIHR, the Québec Heart & Stroke Foundation and the NIH.
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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) | 0.001 | 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".