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  • 1
    ISSN: 1573-6792
    Keywords: Visual EPs ; MEG ; Source localization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Theoretically, the information we can obtain about the functional localization of a source of brain activity from the scalp, for instance evoked by a sensory stimulus, is the same whether one uses EEG or MEG recordings. However, the nature of the sources and, especially of the volume conductor, poses constraints such that appreciable differences between both types of data may exist. We present here empirical and theoretical data that illustrate which are the main constraints and to what extent they may affect electric potential and magnetic field maps. The empirical data consists of visual evoked potential and magnetic fields to the appearance of a checkerboard pattern (half-visual field stimulation). The concept of equivalent dipole is presented and its limitations are discussed. It is considered that the concept of equivalent dipole (ED) yields only an approximate description of the activity of a patch of cortex. A main difference between EEG and MEG recordings is the fact that radially oriented dipoles can hardly be seen in the MEG in contrast with the EEG. Accordingly, a weak tangential dipole component is difficult to distinguish in the EEG if a strong radial component is also present. However, a combination of both methods can give useful complementary information in such cases. A factor that influences largely such differences is the model of volume conductor used. A four concentric spheres model, as commonly used for solving the inverse problem of source localization, causes appreciable errors when EEG data are used but much less in case of the MEG. The use of a model consisting of eccentric spheres fitting the four compartments, brain, CSF, skull and scalp, provides a better approximation of the real geometry of the head and allows to obtain comparable results for visual evoked potentials and magnetic fields. It is emphasized that for precise localization of EDs, especially based on EEG recordings, a realistic model of the different compartments of the head is necessary. The latter must be tailor made to a given subject using MRI-scans, in view of the large variability in head geometry between subjects.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Brain topography 5 (1993), S. 337-345 
    ISSN: 1573-6792
    Keywords: MEG ; EEG ; Inverse solution ; Volume conduction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-6792
    Keywords: EEG ; MEG ; MRI ; Dipole Layers ; Functional localization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Medical & biological engineering & computing 25 (1987), S. 222-226 
    ISSN: 1741-0444
    Keywords: EEG ; Fredholm integral equation of the second kind ; MEG ; Multicompartment models ; Neumann equation ; Richardson extrapolation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Medical & biological engineering & computing 31 (1993), S. 600-606 
    ISSN: 1741-0444
    Keywords: EEG ; Image processing ; MEG ; MRI ; Segmentation ; Three-dimensional rendering
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract Estimation of the source of activity in the brain from electro- and magneto-encephalographic measurements is becoming increasingly common. Structural information could assist in improving the calculation of the sources as well as providing the context of the source location. Magnetic resonance images are very useful for this purpose, but they still need to undergo various processing steps. The paper describes in details a practical method for full automatic processing of MRI images of a head, including segmentation of the images and triangulation of the surfaces.
    Type of Medium: Electronic Resource
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