Journal article
Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery
M Cao, D Galvis, SJ Vogrin, WP Woods, S Vogrin, F Wang, W Woldman, JR Terry, A Peterson, C Plummer, MJ Cook
Nature Communications | NATURE PORTFOLIO | Published : 2022
Open access
Abstract
Modelling the interactions that arise from neural dynamics in seizure genesis is challenging but important in the effort to improve the success of epilepsy surgery. Dynamical network models developed from physiological evidence offer insights into rapidly evolving brain networks in the epileptic seizure. A limitation of previous studies in this field is the dependence on invasive cortical recordings with constrained spatial sampling of brain regions that might be involved in seizure dynamics. Here, we propose virtual intracranial electroencephalography (ViEEG), which combines non-invasive ictal magnetoencephalographic imaging (MEG), dynamical network models and a virtual resection technique...
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Awarded by Swinburne University of Technology
Funding Acknowledgements
The authors acknowledge the facilities, and the scientific and technical assistance of the National Imaging Facility at the Swinburne Node, Swinburne University of Technology with particular thanks to Dr. Rachel Batty, Ms. Mahla Cameron-Bradley, and Ms. Johanna Stephens for their technical support. We acknowledge the Australian National Imaging Facility for the support of W. Woods and the MEG system at Swinburne University of Technology. We acknowledge the neurologists Dr. Simon Harvey (Royal Children's Hospital Melbourne), A/Prof. John Archer (Austin Hospital Melbourne), A/Prof. Wendyl D'Souza (St. Vincent's Hospital Melbourne), A/Prof. Ross Carne (St. Vincent's Hospital Melbourne), and the neurosurgeons A/Prof. Michael Murphy (St. Vincent's Hospital Melbourne), Mr. Kristian Bulluss (St. Vincent's Hospital Melbourne), and Ms. Wirginia Maixner (Royal Children's Hospital Melbourne) whose patients were included in the study. The authors would also like to thank Prof. Thomas Knosche, Dr. Christian Rummel and Dr. Marinho Lopes for their insightful discussions on MEG source imaging and dynamical models. M.C. acknowledges the support from Australian Government Research Training Scholarship and St. Vincent's Health Foundation, Australia. M.J.C., A.P. and J.R.T. acknowledge the financial support from the Royal Society International Exchanges Award (grant number IE170112). D.G. and J.R.T. acknowledge the generous support of the Wellcome Trust Institutional Strategic Support Award (grant no. 204909/Z/16/Z). W.W. acknowledges the financial support of the MRC via grant (MR/N01524X/1) and Epilepsy Research UK via Grant (F2002). J.R.T. acknowledges the financial support of the EPSRC via grants (EP/N014391/2 and EP/T027703/1). F.W. acknowledges the support from Youth Innovation Promotion Association at the Chinese Academy of Sciences via grant (2019096).