Literature DB >> 20420923

Localization and propagation analysis of ictal source rhythm by electrocorticography.

June Sic Kim1, Chang Hwan Im, Young Jin Jung, Eun Young Kim, Sang Kun Lee, Chun Kee Chung.   

Abstract

The purpose of this study was to develop a novel approach for objectively estimating the locations of ictal onset zones by electrocorticography (ECoG). Conventional ECoG analyses have been performed using a 2-D space comprised of intracranial electrodes. Thus, despite the fact that ECoG data have much higher signal-to-noise ratios than electroencephalographic data, ECoG inherently requires a priori information to locate the electrodes, and thus, it is difficult to estimate the depth of epileptogenic foci using this technique. Accordingly, the authors considered that a 3-D approach is needed to determine the presence of an epileptogenic focus in the complex structure of the cortex. However, no source localization procedure has been devised to determine the location of a primary ictal source using ECoG. The authors utilized a spatiotemporal source localization technique using the first principal vectors. A directed transfer function was then employed for the time series of potential ictal sources to compute their causal inter-relationships, from which the primary sources responsible for ictal onset could be localized. Monte-Carlo simulation studies were performed to validate the feasibility and reliability of the proposed ECoG source localization technique, and the obtained results demonstrated that the mean of localization errors with a signal to white Gaussian noise ratio of 5 dB did not exceed 5 mm, even when the source was located approximately 20 mm away from the nearest electrode. This validated ictal source localization approach was applied to a number of ictal ECoG data sets from six successfully operated epilepsy patients. The resultant 3-D ictal source locations were found to coincide with surgical resection areas and with traditional 2-D electrode-based source estimates. The authors believe that this proposed ECoG-based ictal source localization method will be found useful, especially when ictal sources are located in a deep sulcus or beyond recording planes. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20420923     DOI: 10.1016/j.neuroimage.2010.04.240

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


  10 in total

1.  A novel method for the identification of synchronization effects in multichannel ECoG with an application to epilepsy.

Authors:  A Graef; M Hartmann; C Flamm; C Baumgartner; M Deistler; T Kluge
Journal:  Biol Cybern       Date:  2013-02-22       Impact factor: 2.086

2.  Ictal and interictal source imaging on intracranial EEG predicts epilepsy surgery outcome in children with focal cortical dysplasia.

Authors:  Michel Alhilani; Eleonora Tamilia; Lorenzo Ricci; Laura Ricci; P Ellen Grant; Joseph R Madsen; Phillip L Pearl; Christos Papadelis
Journal:  Clin Neurophysiol       Date:  2020-01-20       Impact factor: 3.708

3.  Multiple sources of fast traveling waves during human seizures: resolving a controversy.

Authors:  Emily D Schlafly; François A Marshall; Edward M Merricks; Uri T Eden; Sydney S Cash; Catherine A Schevon; Mark A Kramer
Journal:  J Neurosci       Date:  2022-07-29       Impact factor: 6.709

Review 4.  EEG source imaging in epilepsy--practicalities and pitfalls.

Authors:  Kitti Kaiboriboon; Hans O Lüders; Mehdi Hamaneh; John Turnbull; Samden D Lhatoo
Journal:  Nat Rev Neurol       Date:  2012-08-07       Impact factor: 42.937

5.  Resected Brain Tissue, Seizure Onset Zone and Quantitative EEG Measures: Towards Prediction of Post-Surgical Seizure Control.

Authors:  Christian Rummel; Eugenio Abela; Ralph G Andrzejak; Martinus Hauf; Claudio Pollo; Markus Müller; Christian Weisstanner; Roland Wiest; Kaspar Schindler
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

6.  Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG.

Authors:  Pieter van Mierlo; Octavian Lie; Willeke Staljanssens; Ana Coito; Serge Vulliémoz
Journal:  Brain Topogr       Date:  2018-04-26       Impact factor: 3.020

7.  Travelling waves reveal a dynamic seizure source in human focal epilepsy.

Authors:  Joshua M Diamond; Benjamin E Diamond; Michael S Trotta; Kate Dembny; Sara K Inati; Kareem A Zaghloul
Journal:  Brain       Date:  2021-07-28       Impact factor: 13.501

8.  Influence analysis for high-dimensional time series with an application to epileptic seizure onset zone detection.

Authors:  Christoph Flamm; Andreas Graef; Susanne Pirker; Christoph Baumgartner; Manfred Deistler
Journal:  J Neurosci Methods       Date:  2013-01-24       Impact factor: 2.390

9.  Increased Gamma Connectivity in the Human Prefrontal Cortex during the Bereitschaftspotential.

Authors:  Kisun Kim; June Sic Kim; Chun Kee Chung
Journal:  Front Hum Neurosci       Date:  2017-05-02       Impact factor: 3.169

10.  Evaluating resective surgery targets in epilepsy patients: A comparison of quantitative EEG methods.

Authors:  Michael Müller; Kaspar Schindler; Marc Goodfellow; Claudio Pollo; Christian Rummel; Andreas Steimer
Journal:  J Neurosci Methods       Date:  2018-05-18       Impact factor: 2.390

  10 in total

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