Literature DB >> 9216133

Sensitivity distributions of EEG and MEG measurements.

J Malmivuo1, V Suihko, H Eskola.   

Abstract

It is generally believed that because the skull has low conductivity to electric current but is transparent to magnetic fields, the measurement sensitivity of the magnetoencephalography (MEG) in the brain region should be more concentrated than that of the electroencephalography (EEG). It is also believed that the information recorded by these techniques is very different. If this were indeed the case, it might be possible to justify the cost of MEG instrumentation which is at least 25 times higher than that of EEG instrumentation. The localization of measurement sensitivity using these techniques was evaluated quantitatively in an inhomogeneous spherical head model using a new concept called half-sensitivity volume (HSV). It is shown that the planar gradiometer has a far smaller HSV than the axial gradiometer. However, using the EEG it is possible to achieve even smaller HSV's than with whole-head planar gradiometer MEG devices. The micro-superconducting quantum interference device (SQUID) MEG device does have HSV's comparable to those of the EEG. The sensitivity distribution of planar gradiometers, however, closely resembles that of dipolar EEG leads and, therefore, the MEG and EEG record the electric activity of the brain in a very similar way.

Mesh:

Year:  1997        PMID: 9216133     DOI: 10.1109/10.554766

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  15 in total

1.  Effects of tissue resistivities on electroencephalogram sensitivity distribution.

Authors:  P Laarne; P Kauppinen; J Hyttinen; J Malmivuo; H Eskola
Journal:  Med Biol Eng Comput       Date:  1999-09       Impact factor: 2.602

2.  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

3.  Vector projection of biomagnetic fields.

Authors:  L A Bradshaw; A Myers; W O Richards; W Drake; J P Wikswo
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

4.  New method for analysing sensitivity distributions of electroencephalography measurements.

Authors:  Juho Väisänen; Outi Väisänen; Jaakko Malmivuo; Jari Hyttinen
Journal:  Med Biol Eng Comput       Date:  2008-01-10       Impact factor: 2.602

5.  The effect of ground electrode on the sensitivity, symmetricity and technical feasibility of scalp EEG recordings.

Authors:  Antti Kimmo Olavi Paukkunen; Raimo Sepponen
Journal:  Med Biol Eng Comput       Date:  2008-07-29       Impact factor: 2.602

6.  Higuchi's fractal dimension for analysis of the effect of external periodic stressor on electrical oscillations in the brain.

Authors:  Hiie Hinrikus; Maie Bachmann; Deniss Karai; Włodzimierz Klonowski; Jaanus Lass; Pavel Stepien; Robert Stepien; Viiu Tuulik
Journal:  Med Biol Eng Comput       Date:  2011-04-05       Impact factor: 2.602

7.  Variability of magnetoencephalographic sensor sensitivity measures as a function of age, brain volume and cortical area.

Authors:  Andrei Irimia; Matthew J Erhart; Timothy T Brown
Journal:  Clin Neurophysiol       Date:  2014-02-14       Impact factor: 3.708

8.  Context-Dependent Modulation of Corticomuscular Coherence in a Series of Motor Initiation and Maintenance of Voluntary Contractions.

Authors:  Rina Suzuki; Junichi Ushiyama
Journal:  Cereb Cortex Commun       Date:  2020-10-07

9.  The influence of age and skull conductivity on surface and subdermal bipolar EEG leads.

Authors:  Katrina Wendel; Juho Väisänen; Gunnar Seemann; Jari Hyttinen; Jaakko Malmivuo
Journal:  Comput Intell Neurosci       Date:  2010-01-10

10.  EEG/MEG source imaging: methods, challenges, and open issues.

Authors:  Katrina Wendel; Outi Väisänen; Jaakko Malmivuo; Nevzat G Gencer; Bart Vanrumste; Piotr Durka; Ratko Magjarević; Selma Supek; Mihail Lucian Pascu; Hugues Fontenelle; Rolando Grave de Peralta Menendez
Journal:  Comput Intell Neurosci       Date:  2009-07-20
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