Integrating MEG, EEG and fMRI data
Integrating MEG, EEG and fMRI data
Integrating MEG, EEG and fMRI data
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How can we integrate <strong>MEG</strong>, <strong>EEG</strong>, <strong>and</strong> <strong>fMRI</strong> ?<br />
a. Simple superposition of the equivalent current<br />
dipoles (ECDs) <strong>and</strong> the <strong>fMRI</strong> active areas<br />
b. Dipole seeding, i.e. utilize <strong>fMRI</strong> activation<br />
maps to constrain <strong>MEG</strong> inverse solutions<br />
(Ahlfors et al., J Neurophysiol 1999)<br />
c. Use of distributed sources, <strong>and</strong> regularization<br />
of Linear inverse Estimation (LE) for <strong>EEG</strong><br />
<strong>and</strong>/or <strong>MEG</strong> <strong>data</strong>, with inclusion of <strong>fMRI</strong><br />
constraints (Liu et al., PNAS 1998; Babiloni et al.,<br />
Int J Bioelectromagnetism 1999; etc.)
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