Literature DB >> 9672227

Properties of advanced headmodelling and source reconstruction for the localization of epileptiform activity.

T D Waberski1, H Buchner, K Lehnertz, A Hufnagel, M Fuchs, R Beckmann, A Rienäcker.   

Abstract

During the last decade multiple work has been done to determine the sources of epileptiform activity by means of dipole source localization based on recordings of the magnetoencephalogram (MEG) or the electroencephalogram (EEG). The actual available advanced volume conductor models and the multiple source reconstruction by regularization may give new impulse to EEG based source analyses in epilepsy patients. This study demonstrates the principal properties of these techniques. We applied two different EEG source reconstruction techniques within different volume conductor models to localize induced spike activity in a selected patient suffering from medically intractable temporal lobe epilepsy: 1) single moving dipole solution in a 3-shell spherical model versus individual head models (boundary-element-model, BEM, and finite-element-model, FEM); 2) a regularization technique for current density reconstructions using both BEM and FEM. When compared to findings of invasive recordings no adequate source locations were derived from the moving dipole solution in both the 3-shell head model and BEM. In contrast, a high congruence of source reconstruction and invasive determination of the focus was obtained using the regularization techniques in both BEM and FEM, indicating the high spatial accuracy of this technique in individual head models.

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Year:  1998        PMID: 9672227     DOI: 10.1023/a:1022275024069

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


  9 in total

1.  Investigating the generators of the scalp recorded visuo-verbal P300 using cortically constrained source localization.

Authors:  Kathryn A Moores; C Richard Clark; Jo L M Hadfield; Greg C Brown; D James Taylor; Sean P Fitzgibbon; Andrew C Lewis; Darren L Weber; Richard Greenblatt
Journal:  Hum Brain Mapp       Date:  2003-01       Impact factor: 5.038

2.  Cortical network dynamics during source memory retrieval: current density imaging with individual MRI.

Authors:  Young Youn Kim; Ah Young Roh; Yoon Namgoong; Hang Joon Jo; Jong-Min Lee; Jun Soo Kwon
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

3.  Accuracy and run-time comparison for different potential approaches and iterative solvers in finite element method based EEG source analysis.

Authors:  S Lew; C H Wolters; T Dierkes; C Röer; R S Macleod
Journal:  Appl Numer Math       Date:  2009-08       Impact factor: 2.468

4.  EEG source analysis of epileptiform activity using a 1 mm anisotropic hexahedra finite element head model.

Authors:  M Rullmann; A Anwander; M Dannhauer; S K Warfield; F H Duffy; C H Wolters
Journal:  Neuroimage       Date:  2008-09-24       Impact factor: 6.556

5.  Improved EEG source analysis using low-resolution conductivity estimation in a four-compartment finite element head model.

Authors:  Seok Lew; Carsten H Wolters; Alfred Anwander; Scott Makeig; Rob S MacLeod
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

6.  Statistical parametric mapping of LORETA using high density EEG and individual MRI: application to mismatch negativities in schizophrenia.

Authors:  Hae-Jeong Park; Jun Soo Kwon; Tak Youn; Ji Soo Pae; Jae-Jin Kim; Myung-Sun Kim; Kyoo-Seob Ha
Journal:  Hum Brain Mapp       Date:  2002-11       Impact factor: 5.038

7.  Multimodal Integration of M/EEG and f/MRI Data in SPM12.

Authors:  Richard N Henson; Hunar Abdulrahman; Guillaume Flandin; Vladimir Litvak
Journal:  Front Neurosci       Date:  2019-04-24       Impact factor: 4.677

8.  Investigating the Effects of Chiropractic Spinal Manipulation on EEG in Stroke Patients.

Authors:  Muhammad Samran Navid; Imran Khan Niazi; Dina Lelic; Rasmus Bach Nedergaard; Kelly Holt; Imran Amjad; Asbjørn Mohr Drewes; Heidi Haavik
Journal:  Brain Sci       Date:  2020-04-27

9.  Evaluation of Resting Spatio-Temporal Dynamics of a Neural Mass Model Using Resting fMRI Connectivity and EEG Microstates.

Authors:  Hidenori Endo; Nobuo Hiroe; Okito Yamashita
Journal:  Front Comput Neurosci       Date:  2020-01-17       Impact factor: 2.380

  9 in total

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