Literature DB >> 3823144

A method for combining MEG and EEG to determine the sources.

D Cohen, B N Cuffin.   

Abstract

A three-step method is presented which combines an MEG and EEG map over the head to solve the inverse problem (to determine the sources). This method uses the feature that the MEG does not see a radial source, but only a tangential source, while the EEG sees both. A first test is also made of the method, using computer simulation, and the results presented. The purpose of the test is to see if the method is valid with noisy MEG and EEG data, and when some modelling errors are present; a single dipole source was used in a spherical head. It was found that the method works well when the RMS noise at each map location is 5% of the maximum MEG and EEG (readily attained in practice), but breaks down when the noise is 10% (quite noisy data). The modelling errors involved grid size, head radius and distance to the MEG coil, and were studied only through the first step of the method; with errors in a reasonable range, this limited test again worked well.

Entities:  

Mesh:

Year:  1987        PMID: 3823144     DOI: 10.1088/0031-9155/32/1/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  11 in total

1.  Simultaneous EEG and MEG source reconstruction in sparse electromagnetic source imaging.

Authors:  Lei Ding; Han Yuan
Journal:  Hum Brain Mapp       Date:  2011-11-18       Impact factor: 5.038

2.  A novel integrated MEG and EEG analysis method for dipolar sources.

Authors:  Ming-Xiong Huang; Tao Song; Donald J Hagler; Igor Podgorny; Veikko Jousmaki; Li Cui; Kathleen Gaa; Deborah L Harrington; Anders M Dale; Roland R Lee; Jeff Elman; Eric Halgren
Journal:  Neuroimage       Date:  2007-06-14       Impact factor: 6.556

3.  The relationships between motor behavior and sensory gating in the ball rotation task.

Authors:  Mayu Akaiwa; Yuya Matsuda; Yuta Soma; Eriko Shibata; Hidekazu Saito; Takeshi Sasaki; Kazuhiro Sugawara
Journal:  Exp Brain Res       Date:  2022-08-11       Impact factor: 2.064

4.  Beamformer source analysis and connectivity on concurrent EEG and MEG data during voluntary movements.

Authors:  Muthuraman Muthuraman; Helge Hellriegel; Nienke Hoogenboom; Abdul Rauf Anwar; Kidist Gebremariam Mideksa; Holger Krause; Alfons Schnitzler; Günther Deuschl; Jan Raethjen
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

5.  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

6.  Disconnection from others in autism is more than just a feeling: whole-brain neural synchrony in adults during implicit processing of emotional faces.

Authors:  Rocco Mennella; Rachel C Leung; Margot J Taylor; Benjamin T Dunkley
Journal:  Mol Autism       Date:  2017-02-22       Impact factor: 7.509

7.  Combined EEG/MEG can outperform single modality EEG or MEG source reconstruction in presurgical epilepsy diagnosis.

Authors:  Ümit Aydin; Johannes Vorwerk; Matthias Dümpelmann; Philipp Küpper; Harald Kugel; Marcel Heers; Jörg Wellmer; Christoph Kellinghaus; Jens Haueisen; Stefan Rampp; Hermann Stefan; Carsten H Wolters
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

8.  EEG-MEG Integration Enhances the Characterization of Functional and Effective Connectivity in the Resting State Network.

Authors:  Muthuraman Muthuraman; Vera Moliadze; Kidist Gebremariam Mideksa; Abdul Rauf Anwar; Ulrich Stephani; Günther Deuschl; Christine M Freitag; Michael Siniatchkin
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

9.  Zoomed MRI Guided by Combined EEG/MEG Source Analysis: A Multimodal Approach for Optimizing Presurgical Epilepsy Work-up and its Application in a Multi-focal Epilepsy Patient Case Study.

Authors:  Ü Aydin; S Rampp; A Wollbrink; H Kugel; J -H Cho; T R Knösche; C Grova; J Wellmer; C H Wolters
Journal:  Brain Topogr       Date:  2017-05-16       Impact factor: 3.020

10.  Sensor Level Functional Connectivity Topography Comparison Between Different References Based EEG and MEG.

Authors:  Yunzhi Huang; Junpeng Zhang; Yuan Cui; Gang Yang; Qi Liu; Guangfu Yin
Journal:  Front Behav Neurosci       Date:  2018-05-15       Impact factor: 3.558

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