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Data mining neocortical high-frequency oscillations in epilepsy and controls.

Publication ,  Journal Article
Blanco, JA; Stead, M; Krieger, A; Stacey, W; Maus, D; Marsh, E; Viventi, J; Lee, KH; Marsh, R; Litt, B; Worrell, GA
Published in: Brain : a journal of neurology
October 2011

Transient high-frequency (100-500 Hz) oscillations of the local field potential have been studied extensively in human mesial temporal lobe. Previous studies report that both ripple (100-250 Hz) and fast ripple (250-500 Hz) oscillations are increased in the seizure-onset zone of patients with mesial temporal lobe epilepsy. Comparatively little is known, however, about their spatial distribution with respect to seizure-onset zone in neocortical epilepsy, or their prevalence in normal brain. We present a quantitative analysis of high-frequency oscillations and their rates of occurrence in a group of nine patients with neocortical epilepsy and two control patients with no history of seizures. Oscillations were automatically detected and classified using an unsupervised approach in a data set of unprecedented volume in epilepsy research, over 12 terabytes of continuous long-term micro- and macro-electrode intracranial recordings, without human preprocessing, enabling selection-bias-free estimates of oscillation rates. There are three main results: (i) a cluster of ripple frequency oscillations with median spectral centroid = 137 Hz is increased in the seizure-onset zone more frequently than a cluster of fast ripple frequency oscillations (median spectral centroid = 305 Hz); (ii) we found no difference in the rates of high frequency oscillations in control neocortex and the non-seizure-onset zone neocortex of patients with epilepsy, despite the possibility of different underlying mechanisms of generation; and (iii) while previous studies have demonstrated that oscillations recorded by parenchyma-penetrating micro-electrodes have higher peak 100-500 Hz frequencies than penetrating macro-electrodes, this was not found for the epipial electrodes used here to record from the neocortical surface. We conclude that the relative rate of ripple frequency oscillations is a potential biomarker for epileptic neocortex, but that larger prospective studies correlating high-frequency oscillations rates with seizure-onset zone, resected tissue and surgical outcome are required to determine the true predictive value.

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Published In

Brain : a journal of neurology

DOI

EISSN

1460-2156

ISSN

0006-8950

Publication Date

October 2011

Volume

134

Issue

Pt 10

Start / End Page

2948 / 2959

Related Subject Headings

  • Prospective Studies
  • Neurology & Neurosurgery
  • Neocortex
  • Middle Aged
  • Male
  • Humans
  • Female
  • Epilepsy
  • Electroencephalography
  • Electrodes, Implanted
 

Citation

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Chicago
ICMJE
MLA
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Blanco, J. A., Stead, M., Krieger, A., Stacey, W., Maus, D., Marsh, E., … Worrell, G. A. (2011). Data mining neocortical high-frequency oscillations in epilepsy and controls. Brain : A Journal of Neurology, 134(Pt 10), 2948–2959. https://doi.org/10.1093/brain/awr212
Blanco, Justin A., Matt Stead, Abba Krieger, William Stacey, Douglas Maus, Eric Marsh, Jonathan Viventi, et al. “Data mining neocortical high-frequency oscillations in epilepsy and controls.Brain : A Journal of Neurology 134, no. Pt 10 (October 2011): 2948–59. https://doi.org/10.1093/brain/awr212.
Blanco JA, Stead M, Krieger A, Stacey W, Maus D, Marsh E, et al. Data mining neocortical high-frequency oscillations in epilepsy and controls. Brain : a journal of neurology. 2011 Oct;134(Pt 10):2948–59.
Blanco, Justin A., et al. “Data mining neocortical high-frequency oscillations in epilepsy and controls.Brain : A Journal of Neurology, vol. 134, no. Pt 10, Oct. 2011, pp. 2948–59. Epmc, doi:10.1093/brain/awr212.
Blanco JA, Stead M, Krieger A, Stacey W, Maus D, Marsh E, Viventi J, Lee KH, Marsh R, Litt B, Worrell GA. Data mining neocortical high-frequency oscillations in epilepsy and controls. Brain : a journal of neurology. 2011 Oct;134(Pt 10):2948–2959.
Journal cover image

Published In

Brain : a journal of neurology

DOI

EISSN

1460-2156

ISSN

0006-8950

Publication Date

October 2011

Volume

134

Issue

Pt 10

Start / End Page

2948 / 2959

Related Subject Headings

  • Prospective Studies
  • Neurology & Neurosurgery
  • Neocortex
  • Middle Aged
  • Male
  • Humans
  • Female
  • Epilepsy
  • Electroencephalography
  • Electrodes, Implanted