Myocardial Transmural Electrical Disruption Affects Electrogram Pattern
Bibliographic record
Abstract
Myocardial structural remodeling leads to atrial fibrillation (AF). Interstitial collagen deposits remodel myocardium, causing disruption of electrical propagation between the endocardial and the epicardial layers, and affecting propagation within layers as well. How these changes manifest on the electrogram (EGM) is unclear. Here we investigate the consequences of epicardium- endocardium electrical dissociation on EGMs. Left atrial patient-specific bilayer computational models were constructed using MRI from AF patients (n = 11). Interstitial collagen was incorporated as microstructural discontinuities within layers and causing transmural dissociation in the high-fibrosis areas. The models where the fibrosis was not included were considered as controls. Changes in the unipolar EGM characteristics were computed. A propagation delay was observed between both layers. No monotonic linear relationship between control and fibrotic EGMs was found. With the collagen deposits, amplitude decreases and increased fractionation on EGMs were significant. EGM area also tended to become smaller, and duration and waveform asymmetry were affected. In conclusion, measurements of EGM morphology can be used together with clinical imaging data to distinguish between different substrate modifications, and better select ablation targets.
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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 | 0.001 |
| 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".