Detecting Local Myocardial Spatiotemporal Repolarization Gradients With Clinical Mapping Arrays
Bibliographic record
Abstract
BACKGROUND: Activation recovery interval (ARI), extracted from unipolar electrograms, serves as a practical surrogate for repolarization during experimental studies in vivo. Far-field signal contamination and low spatial resolution obscure regional repolarization gradients and duration alternans detection using unipolar ARI. We hypothesized that the attenuation of far-field contamination with the principal component-referenced unipole will allow for a more accurate assessment of true local repolarization gradients and spatially assess action potential duration alternans. METHODS: Unipolar ARI and the novel method, Repol Loc , were validated for the detection of spatial and temporal repolarization changes using simultaneous optical and electrical mapping in a rabbit Langendorff model. Repolarization changes were created using global infusion of ibutilide or pinacidil, or topical application of lidocaine. Epicardial mapping was conducted in a porcine Langendorff model following the topical application of lidocaine to investigate the spatial resolution of each method. Generalized linear models of the two methods were used to compare with optical action potential duration (APD80). RESULTS: Following the infusion of antiarrhythmic drugs, the Repol Loc method (slope=0.90) had a slightly higher correlation to optical APD80 than the ARI method (slope=0.79). Following regional application of lidocaine, Repol Loc was better able to localize the site of drug administration with an average 26.12% reduction as compared with 18.66% reduction in unipolar ARI ( P =0.0046). Additionally, temporal repolarization alternans and restitution changes assessed by Repol Loc method tracked optical APD80 quantified time domain changes. CONCLUSIONS: Repol Loc has higher sensitivity to local spatiotemporal repolarization heterogeneities and alternans than traditional ARI. Although ARI only correlates with uniformly distributed changes in repolarization in the entire myocardium, Repol Loc also provided accurate regional gradient assessment and duration alternans of repolarization. These findings suggest ARI has significant far-field contamination and Repol Loc may provide a better clinical mapping tool for spatiotemporal repolarization gradient mapping.
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 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 | 0.002 |
| 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 | 0.001 |
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".