Frequency Domain Equivalence Between Potentials and Currents Using Loreta

Analyzing the preferences of brain regions to oscillate at specific frequencies gives important functional information. Application of discrete inverse solutions for the EEG/ MEG inverse problem in the frequency domain usually involves the use of many current sources (sometimes 104 or more) restrict...

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Bibliographic Details
Published in:International journal of neuroscience 2001-01, Vol.107 (3-4), p.161-171
Main Authors: Gomez, J. F., Thatcher, R. W.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Brain - physiology
Brain Mapping
Current density
EEG/MEG inverse problem
Electroencephalography
Fourier Analysis
Fundamental and applied biological sciences. Psychology
General aspects. Models. Methods
Humans
Linear Models
Low resolution electromagnetic tomography
Magnetoencephalography
Models, Neurological
Source location
Vertebrates: nervous system and sense organs
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Summary:Analyzing the preferences of brain regions to oscillate at specific frequencies gives important functional information. Application of discrete inverse solutions for the EEG/ MEG inverse problem in the frequency domain usually involves the use of many current sources (sometimes 104 or more) restricted to gray matter points, as the solution space for the possible generators. This number can progressively increase with the level of detail of the MRI when it is used in co-registration with EEG/MEG. However, the computation of the Fourier transform to all these sources is computationally intensive. We illustrate with a simple example how this procedure can be simplified by applying the Fourier transform to the signals in the sensors using a popular inverse method (LORETA). We also suggest how the search space of current sources at specific frequencies of oscillation can be limited to some regions constrained by other technologies such as fMRI, PET and SPECT.
ISSN:0020-7454
1563-5279
1543-5245
DOI:10.3109/00207450109150683