Literature DB >> 17977022

Fast oscillations associated with interictal spikes localize the epileptogenic zone in patients with partial epilepsy.

Adrian G Guggisberg1, Heidi E Kirsch, Mary M Mantle, Nicholas M Barbaro, Srikantan S Nagarajan.   

Abstract

Although interictal epileptic spikes are defined as fast transient activity, the spatial distribution of spike-related high-frequency power changes is unknown. In this study, we localized the sources of spike-locked power increases in the beta and gamma band with magnetoencephalography and an adaptive spatial filtering technique and tested the usefulness of these reconstructions for determining the epileptogenic zone in a population of 27 consecutive presurgical patients with medication refractory partial epilepsies. The reliability of this approach was compared to the performance of conventional MEG techniques such as equivalent current dipole (ECD) models. In patients with good surgical outcome after a mean follow-up time of 16 months (Engel class I or II), the surgically resected area was identified with an accuracy of 85% by sources of spike-locked beta/gamma activity, which compared favorably with the accuracy of 69% found for ECD models of single spikes. In patients with a total of more than 50 spikes in their recordings, the accuracies increased to 100% vs. 88%, respectively. Imaging of spike-locked beta/gamma power changes therefore seems to be a reliable and fast alternative to conventional MEG techniques for localizing epileptogenic tissue, in particular, if more than 50 interictal spikes can be recorded.

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Year:  2007        PMID: 17977022      PMCID: PMC2742724          DOI: 10.1016/j.neuroimage.2007.09.036

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  19 in total

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2.  Magnetic source imaging versus intracranial electroencephalogram in epilepsy surgery: a prospective study.

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3.  Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction.

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4.  Computationally efficient approaches to calculating significant ERD/ERS changes in the time-frequency plane.

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5.  Localization of interictal spikes using SAM(g2) and dipole fit.

Authors:  S E Robinson; S S Nagarajan; M Mantle; V Gibbons; H Kirsch
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  21 in total

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Authors:  Christopher T Anderson; Chad E Carlson; Zhimin Li; Manoj Raghavan
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Review 3.  Recording and analysis techniques for high-frequency oscillations.

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Journal:  Prog Neurobiol       Date:  2012-03-07       Impact factor: 11.685

Review 4.  High-frequency oscillations as a new biomarker in epilepsy.

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Review 5.  High-frequency oscillations: The state of clinical research.

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6.  Noninvasive imaging of the high frequency brain activity in focal epilepsy patients.

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Review 7.  High-frequency oscillations (HFOs) in clinical epilepsy.

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Authors:  Keith A Vossel; Kamalini G Ranasinghe; Alexander J Beagle; Danielle Mizuiri; Susanne M Honma; Anne F Dowling; Sonja M Darwish; Victoria Van Berlo; Deborah E Barnes; Mary Mantle; Anna M Karydas; Giovanni Coppola; Erik D Roberson; Bruce L Miller; Paul A Garcia; Heidi E Kirsch; Lennart Mucke; Srikantan S Nagarajan
Journal:  Ann Neurol       Date:  2016-11-07       Impact factor: 10.422

Review 9.  The role of high-frequency oscillations in epilepsy surgery planning.

Authors:  David Gloss; Sarah J Nevitt; Richard Staba
Journal:  Cochrane Database Syst Rev       Date:  2017-10-05

10.  Shift in interictal relative gamma power as a novel biomarker for drug response in two mouse models of absence epilepsy.

Authors:  Atul Maheshwari; Rachel L Marks; Katherine M Yu; Jeffrey L Noebels
Journal:  Epilepsia       Date:  2015-12-10       Impact factor: 5.864

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