@article{3b8bc24148ab44308e864085b98130ee,
title = "Variability in the location of high frequency oscillations during prolonged intracranial EEG recordings",
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.",
author = "Gliske, {Stephen V.} and Irwin, {Zachary T.} and Cynthia Chestek and Hegeman, {Garnett L.} and Benjamin Brinkmann and Oren Sagher and Garton, {Hugh J.L.} and Worrell, {Greg A.} and Stacey, {William C.}",
note = "Funding Information: We gratefully acknowledge all those involved with obtaining the data, including all those at the Mayo Clinic and the University of Michigan. Research reported in this publication was supported by the National Institute of Health (NIH) Big Data to Knowledge Initiative under grant number K01-ES026839 (S.G.), the NIH National Institute of Neurological Disorders and Stroke (NINDS) under grant numbers K08-NS069783, R01- NS094399, Doris Duke Foundation Clinical Scientist Development Award #2015096 (W. S.), and UH2-NS095495, R01-NS063039, R01-NS092882 (to G.W., B.B.). Funding Information: We gratefully acknowledge all those involved with obtaining the data, including all those at the Mayo Clinic and the University of Michigan. Research reported in this publication was supported by the National Institute of Health (NIH) Big Data to Knowledge Initiative under grant number K01-ES026839 (S.G.), the NIH National Institute of Neurological Disorders and Stroke (NINDS) under grant numbers K08-NS069783, R01-NS094399, Doris Duke Foundation Clinical Scientist Development Award #2015096 (W. S.), and UH2-NS095495, R01-NS063039, R01-NS092882 (to G.W., B.B.). Publisher Copyright: {\textcopyright} 2018 The Author(s).",
year = "2018",
month = dec,
day = "1",
doi = "10.1038/s41467-018-04549-2",
language = "English (US)",
volume = "9",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",
}