Literature DB >> 22941500

Influence of a silastic ECoG grid on EEG/ECoG based source analysis.

Benjamin Lanfer1, Christian Röer, Michael Scherg, Stefan Rampp, Christoph Kellinghaus, Carsten Wolters.   

Abstract

The simultaneous evaluation of the local electrocorticogram (ECoG) and the more broadly distributed electroencephalogram (EEG) from humans undergoing evaluation for epilepsy surgery has been shown to further the understanding of how pathologies give rise to spontaneous seizures. However, a well-known problem is that the disruption of the conducting properties of the brain coverings can render simultaneous scalp and intracranial recordings unrepresentative of the habitual EEG. The ECoG electrodes for measuring the potential on the surface of the cortex are commonly embedded into one or more sheets of a silastic material. These highly resistive silastic sheets influence the volume conduction and might therefore also influence the scalp EEG and ECoG measurements. We carried out a computer simulation study to examine how the scalp EEG and the ECoG, as well as the source reconstruction therefrom, employing equivalent current dipole estimation methods, are affected by the insulating ECoG grids. The finite element method with high quality tetrahedral meshes, generated using a constrained Delaunay tetrahedralization meshing approach, was used to model the volume conductor that incorporates the very thin ECoG sheets. It is shown that the insulating silastic substrate of the ECoG grids can have a large impact on the scalp potential and on source reconstruction from scalp EEG data measured in the presence of the grids. The reconstruction errors are characterized with regard to the location of the source in the brain and the mislocalization tendency. In addition, we found a non-negligible influence of the insulating grids on ECoG based source analysis. We conclude, that the thin insulating ECoG sheets should be taken into account, when performing source analysis of simultaneously measured ECoG and scalp EEG data.

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Year:  2012        PMID: 22941500     DOI: 10.1007/s10548-012-0251-0

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  6 in total

1.  Combining EEG and MEG for the reconstruction of epileptic activity using a calibrated realistic volume conductor model.

Authors:  Ümit Aydin; Johannes Vorwerk; Philipp Küpper; Marcel Heers; Harald Kugel; Andreas Galka; Laith Hamid; Jörg Wellmer; Christoph Kellinghaus; Stefan Rampp; Carsten Hermann Wolters
Journal:  PLoS One       Date:  2014-03-26       Impact factor: 3.240

Review 2.  Neural coding for effective rehabilitation.

Authors:  Xiaoling Hu; Yiwen Wang; Ting Zhao; Aysegul Gunduz
Journal:  Biomed Res Int       Date:  2014-09-02       Impact factor: 3.411

3.  Ictal EEG source imaging in presurgical evaluation: High agreement between analysis methods.

Authors:  Sándor Beniczky; Ivana Rosenzweig; Michael Scherg; Todor Jordanov; Benjamin Lanfer; Göran Lantz; Pål Gunnar Larsson
Journal:  Seizure       Date:  2016-10-06       Impact factor: 3.184

4.  Decoding Steady-State Visual Evoked Potentials From Electrocorticography.

Authors:  Benjamin Wittevrongel; Elvira Khachatryan; Mansoureh Fahimi Hnazaee; Flavio Camarrone; Evelien Carrette; Leen De Taeye; Alfred Meurs; Paul Boon; Dirk Van Roost; Marc M Van Hulle
Journal:  Front Neuroinform       Date:  2018-09-26       Impact factor: 4.081

5.  Electrical source imaging of interictal spikes using multiple sparse volumetric priors for presurgical epileptogenic focus localization.

Authors:  Gregor Strobbe; Evelien Carrette; José David López; Victoria Montes Restrepo; Dirk Van Roost; Alfred Meurs; Kristl Vonck; Paul Boon; Stefaan Vandenberghe; Pieter van Mierlo
Journal:  Neuroimage Clin       Date:  2016-01-20       Impact factor: 4.881

6.  Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification With Intracranial EEG and FEM Simulations.

Authors:  Lukas Dominique Josef Fiederer; Jacob Lahr; Johannes Vorwerk; Felix Lucka; Ad Aertsen; Carsten Hermann Wolters; Andreas Schulze-Bonhage; Tonio Ball
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-19       Impact factor: 4.538

  6 in total

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