Original Research ARTICLE
Methods for the detection of seizure bursts in epilepsy
- 1Monash Medical Centre, Australia
- 2The University of Melbourne, Australia
Background: Seizure clusters and “bursts” are of clinical importance. Clusters are reported to be a marker of antiepileptic drug resistance. Additionally, seizure clustering has been found to be associated with increased morbidity and mortality. However, there are no statistical methods described in the literature to delineate bursting phenomenon in epileptic seizures.
Methods: We present three automatic burst detection methods referred to as precision constrained grouping (PCG), burst duration constrained grouping (BCG), and interseizure interval constrained grouping (ICG). Concordance correlation coefficients were used to confirm the pairwise agreement between common bursts isolated using these three automatic burst detection procedures. Additionally, three graphical methods were employed to demonstrate seizure bursts: modified scatter plots, staircase plots, and dropline plots. Burst detection procedures are demonstrated on data from continuous intracranial ambulatory EEG monitoring in a patient diagnosed with drug-refractory focal epilepsy.
Results: We analyzed 1569 seizures, from our assigned index patient, captured on ambulatory intracranial EEG monitoring. A total of 31, 32, and 32 seizure bursts were detected by the three quantitative methods (BCG, ICG, and PCG) respectively. The concordance correlation coefficient was ≥0.99 signifying considerably stronger than chance burst detector agreements with one another.
Conclusions: Bursting is a quantifiable temporal phenomenon in epilepsy and seizure bursts can be reliably detected using our methodology.
Keywords: EEG, bursts, Seizure cluster, prediction, Epilepsy, interseizure interval
Received: 02 Dec 2018;
Accepted: 07 Feb 2019.
Edited by:Fernando Cendes, Campinas State University, Brazil
Reviewed by:Peter Halasz, Hungarian Society for Sleep Medicine, Hungary
Liankun Ren, Xuanwu Hospital, Capital Medical University, China
Copyright: © 2019 Seneviratne, Karoly, Freestone, Cook and Boston. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Dr. Udaya Seneviratne, Monash Medical Centre, Clayton, Australia, email@example.com
Dr. Ray C. Boston, The University of Melbourne, Melbourne, 3010, Victoria, Australia, firstname.lastname@example.org