Dr Marc Goodfellow
Neuroscience and Neurology
Skills Development Fellowship Vision
A successful fellowship will see the fellow transform their current research skills by either developing in entirely new areas or significantly advancing their current approaches. In addition, they will move towards being an independent researcher, capable of leading their own research groups in the future. Developing the proposal will have been the first step towards these outcomes, and from the start of the fellowship they will begin to direct their own research whilst training in specific skills with their sponsors. Throughout, the fellow will have the opportunity to consolidate and expand their collaborations, enhancing the wider research group and leading to exciting new science.
Mathematics and Systems Biology
My research is focussed on the development and use of mathematical and computational methods to help us understand the dynamics of complex biological systems, with a focus on problems in healthcare. I study diverse biological systems ranging in spatial scales from cells to whole organs. Of particular interest are the dynamics of the brain, which fluctuate to give rise to evolving spatiotemporal patterns that can be significantly altered in disorders such as epilepsy. In general, I develop and implement ODE and SDE network models of biological systems and use computational techniques including simulation and continuation to understand these models. I use methods such as multivariate time series analysis to quantify data and link data to model output.
- Goodfellow, M., Rummel, C., Abela, E., Richardson, M. P., Schindler, K., & Terry, J. R. (2016). Estimation of brain network ictogenicity predicts outcome from epilepsy surgery. Scientific Reports, 6, 29215
- Goodfellow, M., Phillips, N. E., Manning, C., Galla, T., & Papalopulu, N. (2014). microRNA input into a neural ultradian oscillator controls emergence and timing of alternative cell states. Nature Communications, 5, 3399.
- Goodfellow, M., Schindler, K., & Baier, G. (2011). Intermittent spike-wave dynamics in a heterogeneous, spatially extended neural mass model. NeuroImage, 55(3), 920–32
Ongoing Projects & Grants
- Quantifying uncertainty in perturbed brain networks: towards a decision support tool for epilepsy surgery (EPSRC)
- An Optimal Computer Model for the Diagnosis and Prognosis of Epilepsy (Epilepsy Research UK)
- Prof John Terry (Exeter)
- Dr Jon Brown (Exeter)
- Dr Nina Kazanina (University of Bristol)
- Prof Richard Apps (University of Bristol)
- Prof Mark Richardson (King’s College London)
- Prof Christoph Michel (University of Geneva)
- Dr Christian Rummel (University Hospital, Bern, Switzerland)
- Prof Kaspar Schindler (University Hospital, Bern, Switzerland)
Research Group Connections