作者: Stephen V. Gliske , Zachary T. Irwin , Cynthia Chestek , Garnett L. Hegeman , Benjamin Brinkmann
DOI: 10.1038/S41467-018-04549-2
关键词: Electroencephalography 、 Cardiology 、 Epilepsy 、 Intracranial eeg 、 Blind signal separation 、 Control subjects 、 Text mining 、 Ictal 、 Internal medicine 、 Context (language use) 、 Medicine
摘要: The rate of interictal high frequency oscillations (HFOs) is a promising biomarker the seizure onset zone, though little known about its consistency over hours to days. Here we test whether highest HFO-rate channels are consistent across different 10-min segments EEG during sleep. An automated HFO detector and blind source separation applied nearly 3000 total data from 121 subjects, including 12 control subjects without epilepsy. Although HFOs significantly correlated with precise localization in only 22% patients. remaining patients either have one intermittent (16%), sources varying time (45%), or insufficient (17%). Multiple networks found both multiple foci. These results indicate that robust interpretation requires prolonged analysis context other clinical data, rather than isolated review short segments.