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July 26, 2026PLoS Computational BiologyOpen Access

Unipolar multi-electrode mapping detects AF-sustaining sub-endocardial reentry in up to 100% of simulated cases.

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Why the study?

The efficacy of different multi-electrode mapping configurations to identify micro-reentrant pathways sustaining AF remains undefined.

Do different multi-electrode mapping configurations affect the detection of micro-anatomic reentries sustaining atrial fibrillation in a simulated model?

Population

Simulated anisotropic atrial tissue structure incorporating a sub-endocardial laterally-insulated myobundle across N = 656 MEM configurations

Comparison

Unipolar vs bipolar vs omnipolar MEM configurations varying spacing, orientation, contact distance, and position

Design

Simulation study

Key result

Unipolar multi-electrode mapping configurations with 1-6 mm spacing and optimal contact detected sub-endocardial reentry pathways sustaining atrial fibrillation in 50-100% of simulated cases.

Authors

MRMiguel RodrigoUniversitat de ValènciaGRGiada S. RomittiUniversitat de ValènciaMTMaría Termenón-RivasUniversitat de València

Discussion

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Overview

Unipolar mapping may optimize micro-reentry detection in AF simulations; leaves open clinical translation and ablation outcomes.

Key Points

  • This research aims to define optimal multi-electrode mapping configurations for identifying micro-reentrant pathways sustaining atrial fibrillation.
  • Conducted simulations using an anisotropic atrial tissue model reflecting persistent AF conditions.
  • Evaluated 656 multi-electrode mapping configurations with varying distances, orientations, and electrode positions.
  • Used unipolar, bipolar, and omnipolar electrogram recordings to visualize reentrant pathways.
  • Unipolar configurations (1–6 mm spacing) detected sub-endocardial reentry pathways in 50–100% of simulated cases.
  • Bipolar mapping required alignment with myobundles for detection efficiency.
  • Omnipolar configurations improved detection accuracy at larger spacings (9 mm) but not significantly at smaller spacings.

Structured PICO

Do different multi-electrode mapping configurations affect the detection of micro-anatomic reentries sustaining atrial fibrillation in a simulated model?

P
Population
656 multi-electrode mapping configurations were evaluated in a simulated atrial tissue model reflecting persistent atrial fibrillation.
I
Intervention
Multi-electrode mapping (MEM) configurations varying by type (unipolar, bipolar, omnipolar), inter-electrode distances (1, 3, 6, 9 mm), orientations, contact distances (0.25 and 1.0 mm), and electrode positions.
C
Comparator
Comparison between different MEM configurations (unipolar vs. bipolar vs. omnipolar) and varying inter-electrode spacings.
O
Outcome
Detection of conduction along the micro-reentrant pathway sustaining atrial fibrillation.surrogate

Dense unipolar multi-electrode mapping configurations with 1-6 mm spacing optimize the detection of micro-anatomic reentrant circuits sustaining atrial fibrillation in simulated models.

Cite This Study

Rodrigo et al. (2026) studied Atrial fibrillation (n=656). Multi-electrode mapping (MEM) configurations vs. Various inter-electrode distances, orientations, and contact distances was evaluated on Detection of sub-endocardial reentry pathways sustaining AF. Unipolar multi-electrode mapping configurations with 1-6 mm spacing and optimal contact detected sub-endocardial reentry pathways sustaining atrial fibrillation in 50-100% of simulated cases.

synapsesocial.com/papers/6a65a6f2d3aea3239cd780achttps://doi.org/10.1371/journal.pcbi.1014493
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps2022 · 4 citations
  2. 2Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: an In-Silico Study2022
  3. 3Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps2021 · 2 citations
  4. 4Mapping Atrial Fibrillation: 2015 Update.2015 · 8 citations
  5. 5A novel sequential endocardial mapping strategy for locating atrial fibrillation sources based on repetitive conduction patterns: An in-silico study2024 · 1 citations