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King’s People

Dr Caroline Roney

Research fellows

MRC Skills Development Fellow

Contact details

caroline.roney@kcl.ac.uk

Biography

Dr Caroline Roney is a Medical Research Council Skills Development Fellow. She has a background in both mathematics and biomedical engineering, with an MMath in Mathematics from the University of Oxford, and an MRes in Biomedical Research from Imperial College London. She received her PhD degree in signal processing of cardiac arrhythmia data from the Department of Bioengineering, Imperial College London, and then worked in the computational modelling team at Liryc, Bordeaux.

Caroline’s current research interests are in developing engineering techniques for investigating the mechanisms that underlie atrial fibrillation. She uses a combination of signal processing, machine learning and computational modelling techniques to develop novel methodologies for investigating atrial fibrillation mechanisms from clinical imaging data and electrical recordings. The ultimate aim of her research is to translate developed tools for analysing electrical and imaging data to clinically predict optimal patient specific ablation strategies.

Latest publications

The inspection paradox: An important consideration in the evaluation of rotor lifetimes in cardiac fibrillation
Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., Xiong, F., Aguilar, M., Pope, K., Akar, F. G., Roney, C. H., Niederer, S. A., Nattel, S., Nash, M. P., Clayton, R. H. & Ganesan, A. N., 6 Sep 2022, In: Frontiers in Physiology. 13, 920788. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3389/fphys.2022.920788
Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation
Feng, Y., Roney, C. H., Bayer, J. D., Niederer, S. A., Hocini, M. & Vigmond, E. J., Mar 2022, In: PLoS Computational Biology. 18, 3, e1009893. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1371/journal.pcbi.1009893
Predicting atrial fibrillation recurrence by combining population data and virtual cohorts of patient-specific left atrial models
Roney, C. H., Sim, I., Yu, J., Beach, M., Mehta, A., Solis-Lemus, J. A., Kotadia, I., Whitaker, J., Corrado, C., Razeghi, O., Vigmond, E., Narayan, S. M., O'Neill, M., Williams, S. E. & Niederer, S. A., 28 Jan 2022, (E-pub ahead of print) In: Circulation. Arrhythmia and electrophysiology. Research output: Contribution to journal › Article › peer-review
Applications of multimodality imaging for left atrial catheter ablation
Roney, C. H., Sillett, C., Whitaker, J., Lemus, J. A. S., Sim, I., Kotadia, I., O'Neill, M., Williams, S. E. & Niederer, S. A., 18 Dec 2021, In: European heart journal. Cardiovascular Imaging. 23, 1, p. 31-41 11 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1093/ehjci/jeab205
Time-Averaged Wavefront Analysis Demonstrates Preferential Pathways of Atrial Fibrillation, Predicting Pulmonary Vein Isolation Acute Response
Roney, C. H., Child, N., Porter, B., Sim, I., Whitaker, J., Clayton, R. H., Laughner, J. I., Shuros, A., Neuzil, P., Williams, S. E., Razavi, R. S., O'neill, M., Rinaldi, C. A., Taggart, P., Wright, M., Gill, J. S. & Niederer, S. A., 27 Sep 2021, In: Frontiers in Physiology. 12, 1 p., 707189. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3389/fphys.2021.707189
Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
Bifulco, S. F., Scott, G. D., Sarairah, S., Birjandian, Z., Roney, C. H., Niederer, S. A., Mahnkopf, C., Kuhnlein, P., Mitlacher, M., Tirschwell, D., Longstreth, W. T., Akoum, N. & Boyle, P. M., 4 May 2021, In: eLife. 10, e64213. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.7554/eLife.64213
Using Machine Learning to Identify Local Cellular properties that Support Re- entrant Activation in Patient Specific Models of Atrial Fibrillation
Corrado, C., Williams, S., Roney, C., Plank, G., O'Neill, M. & Niederer, S., 4 Mar 2021, In: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology. 23, 1, p. i12-i20 Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1093/europace/euaa386
OpenEP: A cross-platform electroanatomic mapping data format and analysis platform for electrophysiology research
Williams, S., Roney, C., Connolly, A., Sim, I., Whitaker, J., O'Hare, D., Kotadia, I., O'Neill, L., Corrado, C., Bishop, M., Niederer, S., Wright, M., O’Neill, M. D. & Linton, N., 29 Jan 2021, (Accepted/In press) In: Frontiers in Physiology. Research output: Contribution to journal › Article › peer-review
Anisotropic cardiac conduction
Kotadia, I., Whitaker, J., Roney, C., Niederer, S., O’Neill, M., Bishop, M. & Wright, M., 2021, In: Arrhythmia and Electrophysiology Review. 9, 4, p. 202-210 9 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.15420/AER.2020.04
Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images
Sillett, C., Razeghi, O., Strocchi, M., Roney, C. H., O’Brien, H., Ennis, D. B., Haberland, U., Rajani, R., Rinaldi, C. A. & Niederer, S. A., 2021, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Ennis, D. B., Perotti, L. E. & Wang, V. Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 71-83 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12738 LNCS). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-030-78710-3_8

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image competition

26 August 2021

King's researchers shortlisted in national science image competition

Where science and art collide, the competition challenges BHF-funded scientists to showcase their…