Literature DB >> 10912345

Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation.

G Van Hoey1, B Vanrumste, M D'Havé, R Van de Walle, I Lemahieu, P Boon.   

Abstract

Measurement noise in the electro-encephalogram (EEG) and inaccurate information about the locations of the EEG electrodes on the head induce localisation errors in the results of EEG dipole source analysis. These errors are studied by performing dipole source localisation for simulated electrode potentials in a spherical head model, for a range of different dipole locations and for two different numbers (27 and 148) of electrodes. Dipole source localisation is performed by iteratively minimising the residual energy (RE), using the simplex algorithm. The ratio of the dipole localisation error (cm) to the noise level (%) of Gaussian measurement noise amounts to 0.15 cm/% and 0.047 cm/% for the 27 and 148 electrode configurations, respectively, for a radial dipole with 40% eccentricity The localisation error due to noise can be reduced by taking into account multiple time instants of the measured potentials. In the case of random displacements of the EEG electrodes, the ratio of dipole localisation errors to electrode location errors amounts to 0.78 cm-1 cm and 0.27 cm-1 cm for the 27 and 148 electrode configurations, respectively. It is concluded that it is important to reduce the measurement noise, and particularly the electrode mislocalisation, as the influence of the latter is not reduced by taking into account multiple time instants.

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Year:  2000        PMID: 10912345     DOI: 10.1007/bf02347049

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  30 in total

1.  Multiple dipole modeling and localization from spatio-temporal MEG data.

Authors:  J C Mosher; P S Lewis; R M Leahy
Journal:  IEEE Trans Biomed Eng       Date:  1992-06       Impact factor: 4.538

2.  On bioelectric potentials in an inhomogeneous volume conductor.

Authors:  D B Geselowitz
Journal:  Biophys J       Date:  2008-12-31       Impact factor: 4.033

3.  Dipole modeling in epilepsy surgery candidates.

Authors:  P Boon; M D'Havé; C Adam; K Vonck; M Baulac; T Vandekerckhove; J De Reuck
Journal:  Epilepsia       Date:  1997-02       Impact factor: 5.864

4.  Improving source reconstructions by combining bioelectric and biomagnetic data.

Authors:  M Fuchs; M Wagner; H A Wischmann; T Köhler; A Theissen; R Drenckhahn; H Buchner
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1998-08

5.  Calculation of electrical potentials on the surface of a realistic head model by finite differences.

Authors:  L Lemieux; A McBride; J W Hand
Journal:  Phys Med Biol       Date:  1996-07       Impact factor: 3.609

6.  Locating accuracy of a current source of neuromagnetic responses: simulation study for a single current dipole in a spherical conductor.

Authors:  S Kuriki; M Murase; F Takeuchi
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-12

7.  Effects of measurement errors and noise on MEG moving dipole inverse solutions.

Authors:  B N Cuffin
Journal:  IEEE Trans Biomed Eng       Date:  1986-09       Impact factor: 4.538

8.  Accuracy of dipole localization with a spherical homogeneous model.

Authors:  R P Gaumond; J H Lin; D B Geselowitz
Journal:  IEEE Trans Biomed Eng       Date:  1983-01       Impact factor: 4.538

9.  Reliability of dipole models of epileptic spikes.

Authors:  I Merlet; J Gotman
Journal:  Clin Neurophysiol       Date:  1999-06       Impact factor: 3.708

10.  An automatic technique for finding and localizing externally attached markers in CT and MR volume images of the head.

Authors:  M Y Wang; C R Maurer; J M Fitzpatrick; R J Maciunas
Journal:  IEEE Trans Biomed Eng       Date:  1996-06       Impact factor: 4.538

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  9 in total

1.  Dipole location errors in electroencephalogram source analysis due to volume conductor model errors.

Authors:  B Vanrumste; G Van Hoey; R Van de Walle; M D'Havé; I Lemahieu; P Boon
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Spontaneous default mode network phase-locking moderates performance perceptions under stereotype threat.

Authors:  Chad E Forbes; Jordan B Leitner; Kelly Duran-Jordan; Adam B Magerman; Toni Schmader; John J B Allen
Journal:  Soc Cogn Affect Neurosci       Date:  2014-11-14       Impact factor: 3.436

3.  Detecting large-scale networks in the human brain using high-density electroencephalography.

Authors:  Quanying Liu; Seyedehrezvan Farahibozorg; Camillo Porcaro; Nicole Wenderoth; Dante Mantini
Journal:  Hum Brain Mapp       Date:  2017-06-20       Impact factor: 5.038

4.  Relationship of EEG sources of neonatal seizures to acute perinatal brain lesions seen on MRI: a pilot study.

Authors:  Ivana Despotovic; Perumpillichira J Cherian; Maarten De Vos; Hans Hallez; Wouter Deburchgraeve; Paul Govaert; Maarten Lequin; Gerhard H Visser; Renate M Swarte; Ewout Vansteenkiste; Sabine Van Huffel; Wilfried Philips
Journal:  Hum Brain Mapp       Date:  2012-04-21       Impact factor: 5.038

5.  Effects of skull thickness, anisotropy, and inhomogeneity on forward EEG/ERP computations using a spherical three-dimensional resistor mesh model.

Authors:  Nicolas Chauveau; Xavier Franceries; Bernard Doyon; Bernard Rigaud; Jean Pierre Morucci; Pierre Celsis
Journal:  Hum Brain Mapp       Date:  2004-02       Impact factor: 5.038

6.  RT-NET: real-time reconstruction of neural activity using high-density electroencephalography.

Authors:  Roberto Guarnieri; Mingqi Zhao; Gaia Amaranta Taberna; Marco Ganzetti; Stephan P Swinnen; Dante Mantini
Journal:  Neuroinformatics       Date:  2021-04

7.  Canonical decomposition of ictal scalp EEG and accurate source localisation: principles and simulation study.

Authors:  Maarten De Vos; Lieven De Lathauwer; Bart Vanrumste; Sabine Van Huffel; W Van Paesschen
Journal:  Comput Intell Neurosci       Date:  2007

8.  Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model.

Authors:  Quanying Liu; Joshua H Balsters; Marc Baechinger; Onno van der Groen; Nicole Wenderoth; Dante Mantini
Journal:  J Neural Eng       Date:  2015-08-25       Impact factor: 5.379

9.  More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas.

Authors:  Seyed Yahya Shirazi; Helen J Huang
Journal:  Front Neurosci       Date:  2019-11-06       Impact factor: 4.677

  9 in total

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