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 />
b. Dipole seeding, i.e. utilize <strong>fMRI</strong> activation maps<br />
to constrain <strong>MEG</strong> inverse solution<br />
• The brain areas identified as active by <strong>fMRI</strong><br />
during a specific task are used to guide the <strong>MEG</strong><br />
inverse solution<br />
• It is not possible to simply position the <strong>MEG</strong><br />
source in a fixed location, since <strong>fMRI</strong> <strong>and</strong> <strong>MEG</strong><br />
detect different physical phenomena<br />
• The ECDs are let free to move inside a small<br />
volume, their orientation is let free as well, <strong>and</strong><br />
a figure of merit is optimized, in order to obtain<br />
the time course of each source
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