Literature DB >> 2285267

MEG versus EEG localization test using implanted sources in the human brain.

D Cohen1, B N Cuffin, K Yunokuchi, R Maniewski, C Purcell, G R Cosgrove, J Ives, J G Kennedy, D L Schomer.   

Abstract

It is believed that the magnetoencephalogram (MEG) localizes an electrical source in the brain to within several millimeters and is therefore more accurate than electroencephalogram (EEG) localization, reported as 20 mm. To test this belief, the localization accuracy of the MEG and EEG were directly compared. The signal source was a dipole at a known location in the brain; this was made by passing a weak current pulse simulating a neural signal through depth electrodes already implanted in patients for seizure monitoring. First, MEGs and EEGs from this dipole were measured at 16 places on the head. Then, computations were performed on the MEG and EEG data separately to determine the apparent MEG and EEG source locations. Finally, these were compared with the actual source location to determine the MEG and EEG localization errors. Measurements were made of four dipoles in each of three patients. After MEGs with weak signals were discounted, the MEG average error of localization was found to be 8 mm, which was worse than expected. The average EEG error was 10 mm, which was better than expected. These results suggest that the MEG offers no significant advantage over the EEG in localizing a focal source. However, this does not diminish other uses of the MEG.

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Year:  1990        PMID: 2285267     DOI: 10.1002/ana.410280613

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  57 in total

1.  Monte Carlo simulation studies of EEG and MEG localization accuracy.

Authors:  Arthur K Liu; Anders M Dale; John W Belliveau
Journal:  Hum Brain Mapp       Date:  2002-05       Impact factor: 5.038

Review 2.  Spatial-temporal structures of human alpha rhythms: theory, microcurrent sources, multiscale measurements, and global binding of local networks.

Authors:  P L Nunez; B M Wingeier; R B Silberstein
Journal:  Hum Brain Mapp       Date:  2001-07       Impact factor: 5.038

3.  Neuroelectromagnetic forward head modeling toolbox.

Authors:  Zeynep Akalin Acar; Scott Makeig
Journal:  J Neurosci Methods       Date:  2010-05-08       Impact factor: 2.390

4.  A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method.

Authors:  Yingchun Zhang; Lei Ding; Wim van Drongelen; Kurt Hecox; David M Frim; Bin He
Journal:  Neuroimage       Date:  2006-05-02       Impact factor: 6.556

5.  Electric field induced in a spherical volume conductor from arbitrary coils: application to magnetic stimulation and MEG.

Authors:  H Eaton
Journal:  Med Biol Eng Comput       Date:  1992-07       Impact factor: 2.602

Review 6.  Integrated presentation of multimodal brain images.

Authors:  M A Viergever; P A van den Elsen; R Stokking
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

7.  Noninvasive cortical imaging of epileptiform activities from interictal spikes in pediatric patients.

Authors:  Yuan Lai; Xin Zhang; Wim van Drongelen; Michael Korhman; Kurt Hecox; Ying Ni; Bin He
Journal:  Neuroimage       Date:  2010-07-17       Impact factor: 6.556

8.  Evaluating the spatial relationship of event-related potential and functional MRI sources in the primary visual cortex.

Authors:  Kevin Whittingstall; Gerhard Stroink; Matthias Schmidt
Journal:  Hum Brain Mapp       Date:  2007-02       Impact factor: 5.038

9.  Linking MRI postprocessing with magnetic source imaging in MRI-negative epilepsy.

Authors:  Zhong I Wang; Andreas V Alexopoulos; Stephen E Jones; Imad M Najm; Aleksandar Ristic; Chong Wong; Richard Prayson; Felix Schneider; Yosuke Kakisaka; Shuang Wang; William Bingaman; Jorge A Gonzalez-Martinez; Richard C Burgess
Journal:  Ann Neurol       Date:  2014-05-16       Impact factor: 10.422

Review 10.  Update on epilepsy and cerebral localization.

Authors:  Adam L Hartman; Ronald P Lesser
Journal:  Curr Neurol Neurosci Rep       Date:  2007-11       Impact factor: 5.081

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