Differentiation of specific ripple patterns helps to identify epileptogenic areas for surgical procedures

作者:Kerber Karolin; Duempelmann Matthias; Schelter Bjoern; Le Van Pierre; Korinthenberg Rudolf; Schulze Bonhage Andreas; Jacobs Julia*
来源:Clinical Neurophysiology, 2014, 125(7): 1339-1345.
DOI:10.1016/j.clinph.2013.11.030

摘要

Objective: High frequency oscillations (HFOs) at 80-500 Hz are promising markers of epileptic areas. Several retrospective studies reported that surgical removal of areas generating HFOs was associated with a good seizure outcome. Recent reports suggested that ripple (80-200 Hz) HFO patterns co-existed with different background EEG activities. We hypothesized that the coexisting background EEG pattern may distinguish physiological from epileptic ripples. %26lt;br%26gt;Methods: Rates of HFOs were analyzed in intracranial EEG recordings of 22 patients. Additionally, ripple patterns were classified for each channel depending either as coexisting with a flat or oscillatory background activity. A multi-variate analysis was performed to determine whether removal of areas showing the above EEG markers correlated with seizure outcome. %26lt;br%26gt;Results: Removal of areas generating high rates of %26apos;fast ripples (%26gt;200 Hz)%26apos; and %26apos; ripples on a flat background activity%26apos; showed a significant correlation with a seizure-free outcome. In contrast, removal of high rates of %26apos;ripples%26apos; or %26apos;ripple patterns in a continuously oscillating background%26apos; was not significantly associated with seizure outcome. %26lt;br%26gt;Conclusion: Ripples occurring in an oscillatory background activity may be suggestive of physiological activity, while those on a flat background reflect epileptic activity. %26lt;br%26gt;Significance: Consideration of coexisting background patterns may improve the delineation of the epileptogenic areas using ripple oscillations.

  • 出版日期2014-7