Litcius/Paper detail

Intrinsically stretchable electrode array enabled in vivo electrophysiological mapping of atrial fibrillation at cellular resolution

Jia Liu, Xinyuan Zhang, Yuxin Liu, Miguel Rodrigo, Patrick D. Loftus, Joy Aparicio‐Valenzuela, Jukuan Zheng, Terrence Pong, Kevin Cyr, Meghedi Babakhanian, Jasmine Hasi, Jinxing Li, Yuanwen Jiang, C. Kenney, Paul J. Wang, Anson M. Lee, Zhenan Bao

2020Proceedings of the National Academy of Sciences189 citationsDOIOpen Access PDF

Abstract

Electrophysiological mapping of chronic atrial fibrillation (AF) at high throughput and high resolution is critical for understanding its underlying mechanism and guiding definitive treatment such as cardiac ablation, but current electrophysiological tools are limited by either low spatial resolution or electromechanical uncoupling of the beating heart. To overcome this limitation, we herein introduce a scalable method for fabricating a tissue-like, high-density, fully elastic electrode (elastrode) array capable of achieving real-time, stable, cellular level-resolution electrophysiological mapping in vivo. Testing with acute rabbit and porcine models, the device is proven to have robust and intimate tissue coupling while maintaining its chemical, mechanical, and electrical properties during the cardiac cycle. The elastrode array records epicardial atrial signals with comparable efficacy to currently available endocardial-mapping techniques but with 2 times higher atrial-to-ventricular signal ratio and >100 times higher spatial resolution and can reliably identify electrical local heterogeneity within an area of simultaneously identified rotor-like electrical patterns in a porcine model of chronic AF.

Topics & Concepts

ElectrophysiologyAtrial fibrillationIn vivoAblationElectrode arrayHigh resolutionCardiac electrophysiologyNeuroscienceBiomedical engineeringCardiologyMedicineElectrodeBiologyChemistryRemote sensingGeologyPhysical chemistryBiotechnologyNeuroscience and Neural EngineeringAtrial Fibrillation Management and OutcomesNeurological disorders and treatments