Epilepsy Neuroinformatics Group
Our group undertakes advanced neuroimaging analysis methods development and applied research to further our understanding of the human brain in health and disease.
Our work is being translated to healthcare in clinical research programs including the ground-breaking Australian Epilepsy Project. This is delivering advanced clinical decision support to treating clinicians to improve the lives of people with epilepsy.
- Magnetic resonance imaging (MRI)
- Functional MRI (fMRI)
- Diffusion MRI and fixel-based analysis (FBA)
- EEG, particularly when acquired simultaneously with fMRI
About our research
The work our group conducts is relevant to a wide range of brain mapping applications. A particular emphasis of the research is towards methods that can help better understand the causes and consequences of epileptic seizures. This includes implementing, developing and applying advanced image analysis procedures for structural and functional magnetic resonance imaging (MRI, fMRI) and electroencephalography (EEG) – including simultaneous EEG and fMRI. These non-invasive imaging modalities, together with advanced computational methods, are capable of mapping human brain activity at millimeter spatial resolution and millisecond temporal resolution.
Our scientists work collaboratively with local and international clinical research teams, sharing analysis methods and data in a multidisciplinary pursuit of discovery.
The Epilepsy Neuroinformatics Group has a range of publicly available software for download.
- Dr Bahman Tahayori
- Dr Robert Smith
Research and technical staff
- Dr Aaron Capon
- Vicky He
- Naoto Nagino
- Philip Pruckner
- Lea Vinokur
- Madeleine Bullock
- Bullock, M., Jackson, G.D. and Abbott, D.F. (2021). Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage. Frontiers in Neurology, 12. doi:https://doi.org/10.3389/fneur.2021.622719.
- Pedersen, M., Verspoor, K., Jenkinson, M., Law, M., Abbott, D.F. and Jackson, G.D. (2020). Artificial intelligence for clinical decision support in neurology. Brain Communications. doi:https://doi.org/10.1093/braincomms/fcaa096.
- Warren, A.E.L., Harvey, A.S., Vogrin, S.J., Bailey, C., Davidson, A., Jackson, G.D., Abbott, D.F. and Archer, J.S. (2019). The epileptic network of Lennox-Gastaut syndrome: Cortically driven and reproducible across age. Neurology, [online] 93(3), pp.e215–e226. doi:https://doi.org/10.1212/WNL.0000000000007775.
- Tournier, J-Donald., Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C.-H. and Connelly, A. (2019). MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage, 202, p.116137. doi:https://doi.org/10.1016/j.neuroimage.2019.116137.
- Smith, R., Raffelt D., Tournier JD., Connelly A. (2022). Quantitative streamlines tractography: methods and inter-subject normalisation. Aperture Neuro, 2, pp.1–23. doi:https://doi.org/10.52294/apertureneuro.2022.2.neod9565.