Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties

This dataset supports our study “Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties,” which explores the impact of electromechanical remodeling in the fibrotic left atrium. It contains deidentified, patient-specific left atrial geometries; complete parameter sets for baseline and fibrotic combinations; scripts used to perform the simulations; and the resulting output files.
Each geometry includes fibrosis patterns, fiber orientations, region tags, and pacing sites. Parameter files specify alterations in nine fibrosis-associated properties—conduction velocities, ion channel conductances, active tension scaling, myofilament kinetics, and tissue stiffness—across one-factor-at-a-time and fractional factorial sensitivity analysis setups. Simulation and preprocessing scripts are provided for reproducibility and can be executed using the Carpentry software framework (Numericor).
Output data, provided in CSV format, inclu..., , # Data from: Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties

Dataset DOI: [10.5061/dryad.g79cnp62q](10.5061/dryad.g79cnp62q)

## Description of the data and file structure

This data set contains deidentified patient LA geometries, parameters and scripts used to run electromechanical simumulations for these in two sensitivity analysis setups, and resulting output PV loop data.

### Files and variables

#### File: geometries.zip

**Description:** vtk files for all LA geometries, with fiber orientations and tags (tag file attached in main folder) + vtx files for pacing areas for each patient. Structured in folders for Patient 1, Patient 2, and Patient 3; for original and extended fibrosis levels.

#### File: parameters_OFAT_FFD.csv

**Description:** parameter changes imposed in fibrotic regions in geometries above in the various sensitivity analysis simulations (baseline; 9 one-factor-at-a-time simulations, and ..., This repository contains computational meshes of human left atria segmented from late gadolinium enhanced cardiac magnetic resonance imaging. These meshes support the replication of our findings while protecting confidential patient information. This study was approved by the University of Washington Institutional Review Board. All participants provided written informed consent.