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 PMID:29858570  

Variability in the location of high frequency oscillations during prolonged intracranial EEG recordings.

Stephen V Gliske | Zachary T Irwin | Cynthia Chestek | Garnett L Hegeman | Benjamin Brinkmann | Oren Sagher | Hugh J L Garton | Greg A Worrell | William C Stacey
Nature communications | 2018

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.

Pubmed ID: 29858570

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Associated grants

  • Agency: NINDS NIH HHS, United States
    Id: UH2 NS095495
  • Agency: Doris Duke Charitable Foundation, United States
    Id: 2015096
  • Agency: NINDS NIH HHS, United States
    Id: K08 NS069783
  • Agency: NIEHS NIH HHS, United States
    Id: K01 ES026839
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS094399
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS063039
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS092882

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MATLAB (tool)

RRID:SCR_001622

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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