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 />
c. Use of distributed sources <strong>and</strong> regularization of<br />
Linear inverse Estimation (LE)<br />
• The solution of the <strong>MEG</strong> (<strong>EEG</strong>) inverse problem<br />
with a distributed source model requires the<br />
solution of a linear equation such as:<br />
Ax – b = 0<br />
where A is the lead field matrix:<br />
# rows = # field (or potential) measurements (knowns)<br />
# columns = # dipole components (unknowns)<br />
x is a column vector of dipole components<br />
b is a column vector of measured field components<br />
(for a review, see: Del Gratta et al., Reports on Progress in Physics, 2001)
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