Literature DB >> 25088733

Effect of EEG electrode number on epileptic source localization in pediatric patients.

Abbas Sohrabpour1, Yunfeng Lu1, Pongkiat Kankirawatana2, Jeffrey Blount3, Hyunmi Kim2, Bin He4.   

Abstract

OBJECTIVE: To investigate the relationship between EEG source localization and the number of scalp EEG recording channels.
METHODS: 128 EEG channel recordings of 5 pediatric patients with medically intractable partial epilepsy were used to perform source localization of interictal spikes. The results were compared with surgical resection and intracranial recordings. Various electrode configurations were tested and a series of computer simulations based on a realistic head boundary element model were also performed in order to further validate the clinical findings.
RESULTS: The improvement seen in source localization substantially decreases as the number of electrodes increases. This finding was evaluated using the surgical resection, intracranial recordings and computer simulation. It was also shown in the simulation that increasing the electrode numbers could remedy the localization error of deep sources. A plateauing effect was seen in deep and superficial sources with further increasing the electrode number.
CONCLUSION: The source localization is improved when electrode numbers increase, but the absolute improvement in accuracy decreases with increasing electrode number. SIGNIFICANCE: Increasing the electrode number helps decrease localization error and thus can more ably assist the physician to better plan for surgical procedures.
Copyright © 2014 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  EEG source localization; Electrode number; High resolution EEG; Interictal spikes; Partial epilepsy; Pediatric patients

Mesh:

Year:  2014        PMID: 25088733      PMCID: PMC4289666          DOI: 10.1016/j.clinph.2014.05.038

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  55 in total

1.  Efficient dipole parameter estimation in EEG systems with near-ML performance.

Authors:  Shun Chi Wu; A Lee Swindlehurst; Po T Wang; Zoran Nenadic
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2.  Geodesic photogrammetry for localizing sensor positions in dense-array EEG.

Authors:  Gerald S Russell; K Jeffrey Eriksen; Pieter Poolman; Phan Luu; Don M Tucker
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3.  Surgical treatment for epilepsy: too little, too late?

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4.  A method for determining optimal interelectrode spacing for cerebral topographic mapping.

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Review 5.  High resolution EEG.

Authors:  A Gevins
Journal:  Brain Topogr       Date:  1993       Impact factor: 3.020

6.  High-resolution EEG: cortical potential imaging of interictal spikes.

Authors:  X Zhang; W van Drongelen; K E Hecox; V L Towle; D M Frim; A B McGee; B He
Journal:  Clin Neurophysiol       Date:  2003-10       Impact factor: 3.708

7.  Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients.

Authors:  Yunfeng Lu; Lin Yang; Gregory A Worrell; Bin He
Journal:  Clin Neurophysiol       Date:  2011-12-14       Impact factor: 3.708

8.  Resective reoperation for failed epilepsy surgery: seizure outcome in 64 patients.

Authors:  A M Siegel; G D Cascino; F B Meyer; R L McClelland; E L So; W R Marsh; B W Scheithauer; F W Sharbrough
Journal:  Neurology       Date:  2004-12-28       Impact factor: 9.910

9.  Validation of ICA-based myogenic artifact correction for scalp and source-localized EEG.

Authors:  Brenton W McMenamin; Alexander J Shackman; Jeffrey S Maxwell; David R W Bachhuber; Adam M Koppenhaver; Lawrence L Greischar; Richard J Davidson
Journal:  Neuroimage       Date:  2009-10-13       Impact factor: 6.556

10.  Spatial spectra of scalp EEG and EMG from awake humans.

Authors:  Walter J Freeman; Mark D Holmes; Brian C Burke; Sampsa Vanhatalo
Journal:  Clin Neurophysiol       Date:  2003-06       Impact factor: 3.708

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  27 in total

1.  Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy.

Authors:  Abbas Sohrabpour; Yunfeng Lu; Gregory Worrell; Bin He
Journal:  Neuroimage       Date:  2016-05-27       Impact factor: 6.556

2.  Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach.

Authors:  Abbas Sohrabpour; Shuai Ye; Gregory A Worrell; Wenbo Zhang; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2016-10-11       Impact factor: 4.538

3.  A new parameter tuning approach for enhanced motor imagery EEG signal classification.

Authors:  Shiu Kumar; Alok Sharma
Journal:  Med Biol Eng Comput       Date:  2018-04-04       Impact factor: 2.602

4.  High density EEG-what do we have to lose?

Authors:  Catherine J Chu
Journal:  Clin Neurophysiol       Date:  2014-07-10       Impact factor: 3.708

Review 5.  Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics.

Authors:  Bin He; Abbas Sohrabpour; Emery Brown; Zhongming Liu
Journal:  Annu Rev Biomed Eng       Date:  2018-03-01       Impact factor: 9.590

6.  Electrophysiological Brain Connectivity: Theory and Implementation.

Authors:  Bin He; Laura Astolfi; Pedro A Valdes-Sosa; Daniele Marinazzo; Satu Palva; Christian G Benar; Christoph M Michel; Thomas Koenig
Journal:  IEEE Trans Biomed Eng       Date:  2019-05-07       Impact factor: 4.538

7.  Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization.

Authors:  Andres Soler; Luis Alfredo Moctezuma; Eduardo Giraldo; Marta Molinas
Journal:  Sci Rep       Date:  2022-07-02       Impact factor: 4.996

8.  Mean-Field Modeling of Brain-Scale Dynamics for the Evaluation of EEG Source-Space Networks.

Authors:  Mahmoud Hassan; Julien Modolo; Sahar Allouch; Maxime Yochum; Aya Kabbara; Joan Duprez; Mohamad Khalil; Fabrice Wendling
Journal:  Brain Topogr       Date:  2021-07-09       Impact factor: 3.020

9.  High-Density EEG in Current Clinical Practice and Opportunities for the Future.

Authors:  Sally M Stoyell; Janina Wilmskoetter; Mary-Ann Dobrota; Dhinakaran M Chinappen; Leonardo Bonilha; Mark Mintz; Benjamin H Brinkmann; Susan T Herman; Jurriaan M Peters; Serge Vulliemoz; Margitta Seeck; Matti S Hämäläinen; Catherine J Chu
Journal:  J Clin Neurophysiol       Date:  2021-03-01       Impact factor: 2.590

10.  Functional Brain Dysfunction in Patients with Benign Childhood Epilepsy as Revealed by Graph Theory.

Authors:  Azeez Adebimpe; Ardalan Aarabi; Emilie Bourel-Ponchel; Mahdi Mahmoudzadeh; Fabrice Wallois
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

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