Journal article
Seizure pathways: A model-based investigation
Philippa J Karoly, Levin Kuhlmann, Daniel Soudry, David B Grayden, Mark J Cook, Dean R Freestone
PLOS COMPUTATIONAL BIOLOGY | PUBLIC LIBRARY SCIENCE | Published : 2018
Abstract
We present the results of a model inversion algorithm for electrocorticography (ECoG) data recorded during epileptic seizures. The states and parameters of neural mass models were tracked during a total of over 3000 seizures from twelve patients with focal epilepsy. These models provide an estimate of the effective connectivity within intracortical circuits over the time course of seizures. Observing the dynamics of effective connectivity provides insight into mechanisms of seizures. Estimation of patients seizure dynamics revealed: 1) a highly stereotyped pattern of evolution for each patient, 2) distinct sub-groups of onset mechanisms amongst patients, and 3) different offset mechanisms fo..
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Grants
Awarded by National Health and Medical Research Council
Awarded by Melbourne Bioinformatics at the University of Melbourne
Funding Acknowledgements
This study was supported by the National Health and Medical Research Council (Project Grant 1065638). This research was supported by Melbourne Bioinformatics at the University of Melbourne, grant number [VR0003]. PJK was supported by an Australian Government Research Training Program Scholarship DS was supported by the Taub Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.