Integrating MEG, EEG and fMRI data

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How can we integrate MEG, EEG, and fMRI ? a. Simple superposition of the equivalent current dipoles (ECDs) and the fMRI active areas b. Dipole seeding, i.e. utilize fMRI activation maps to constrain MEG inverse solutions (Ahlfors et al., J Neurophysiol 1999) c. Use of distributed sources, and regularization of Linear inverse Estimation (LE) for EEG and/or MEG data, with inclusion of fMRI constraints (Liu et al., PNAS 1998; Babiloni et al., Int J Bioelectromagnetism 1999; etc.)
How can we integrate MEG, EEG, and fMRI ? a. Simple superposition of the equivalent current dipoles (ECDs) and the fMRI active areas • Data from MEG and fMRI are independently analyzed • The active regions identified by the two techniques are merged in a common reference system (MRI) using fiducial markers • MEG sources (ECDs) are additionally transformed into the Talairach space
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Page 5 and 6: fMRI - MEG (EEG) relationship fMRI
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Page 21 and 22: Results • Evidence for a spatial
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Page 25 and 26: Results Mean Latencies ms 90 88 86
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Integrating MEG, EEG and fMRI data

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