Abstract

The rate of interictal high frequency oscillations (HFOs) is a promising biomarker of the seizure onset zone, though little is known about its consistency over hours to days. Here we test whether the highest HFO-rate channels are consistent across different 10-min segments of EEG during sleep. An automated HFO detector and blind source separation are applied to nearly 3000 total hours of data from 121 subjects, including 12 control subjects without epilepsy. Although interictal HFOs are significantly correlated with the seizure onset zone, the precise localization is consistent in only 22% of patients. The remaining patients either have one intermittent source (16%), different sources varying over time (45%), or insufficient HFOs (17%). Multiple HFO networks are found in patients with both one and multiple seizure foci. These results indicate that robust HFO interpretation requires prolonged analysis in context with other clinical data, rather than isolated review of short data segments.

Details

Title
Variability in the location of high frequency oscillations during prolonged intracranial EEG recordings
Author
Gliske, Stephen V 1 ; Irwin, Zachary T 2 ; Chestek, Cynthia 2 ; Hegeman, Garnett L 3 ; Brinkmann, Benjamin 4   VIAFID ORCID Logo  ; Sagher, Oren 5 ; Garton, Hugh J L 5 ; Worrell, Greg A 4 ; Stacey, William C 6   VIAFID ORCID Logo 

1  Department of Neurology, Comprehensive Epilepsy Program, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, Sleep Disorders Center, University of Michigan, Ann Arbor, MI, USA 
2  Department of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA 
3  Department of Neurology, Sleep Disorders Center, University of Michigan, Ann Arbor, MI, USA 
4  Departments of Neurology and Physiology and Biomedical Engineering, Mayo Systems Electrophysiology Laboratory, Mayo Clinic, Rochester, MN, USA 
5  Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA 
6  Department of Neurology, Comprehensive Epilepsy Program, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA 
Pages
1-14
Publication year
2018
Publication date
Jun 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41467-018-04549-2
ProQuest document ID
2048611303
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.