Imperial College London
Portrait Picture

ProfessorKimChristensen

Faculty of Natural Sciences, Department of Physics

Professor of Theoretical Physics
 
 
 
//

Contact

 

+44 (0)20 7594 7574k.christensen Website

 
 
//

Assistant

 

Mrs Carolyn Dale +44 (0)20 7594 7579

 
//

Location

 

812Blackett LaboratorySouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Falkenberg:2022:10.1371/journal.pone.0267166,
author = {Falkenberg, McGillivray M and Coleman, JA and Dobson, S and Hickey, DJ and Terrill, L and Ciacci, A and Thomas, B and Sau, A and Ng, FS and Zhao, J and Peters, N and Christensen, K},
doi = {10.1371/journal.pone.0267166},
journal = {PLoS One},
pages = {1--24},
title = {Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps},
url = {http://dx.doi.org/10.1371/journal.pone.0267166},
volume = {17},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Micro-anatomical reentry has been identified as a potential driver of atrial fibrillation (AF). In this paper, we introduce a novel computational method which aims to identify which atrial regions are most susceptible to micro-reentry. The approach, which considers the structural basis for micro-reentry only, is based on the premise that the accumulation of electrically insulating interstitial fibrosis can be modelled by simulating percolation-like phenomena on spatial networks. Our results suggest that at high coupling, where micro-reentry is rare, the micro-reentrant substrate is highly clusteredin areas where the atrial walls are thin and have convex wall morphology, likely facilitating localised treatment via ablation. However, as transverse connections between fibres are removed, mimicking the accumulation of interstitial fibrosis, the substrate becomes less spatially clustered, and the bias to forming in thin, convex regions of the atria is reduced, possibly restricting the efficacy of localised ablation. Comparing our algorithm on image-based models with and without atrial fibre structure, we find thatstrong longitudinal fibre coupling can suppress the micro-reentrant substrate, whereas regions with disordered fibre orientations have an enhanced risk of micro-reentry. With further development, these methods may be useful for modelling the temporal development of the fibrotic substrate on an individualised basis.
AU  - Falkenberg,McGillivray M
AU  - Coleman,JA
AU  - Dobson,S
AU  - Hickey,DJ
AU  - Terrill,L
AU  - Ciacci,A
AU  - Thomas,B
AU  - Sau,A
AU  - Ng,FS
AU  - Zhao,J
AU  - Peters,N
AU  - Christensen,K
DO  - 10.1371/journal.pone.0267166
EP  - 24
PY  - 2022///
SN  - 1932-6203
SP  - 1
TI  - Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps
T2  - PLoS One
UR  - http://dx.doi.org/10.1371/journal.pone.0267166
UR  - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267166
UR  - http://hdl.handle.net/10044/1/96754
VL  - 17
ER  -
Download