Journal
HUMAN BRAIN MAPPING
Volume 30, Issue 4, Pages 1077-1086Publisher
WILEY-LISS
DOI: 10.1002/hbm.20571
Keywords
MEG; EEG; epilepsy; forward model; SNR; simulation; dipole; cortex; brain
Funding
- National Center for Research Resources [P41RR14074]
- NIH [NS37462, NS44623]
- Mental Illness and Neuroscience Discovery (MIND) Institute
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Although magnetoencephalography (MEG) and electroencephalograph), (EEG) have been available for decades, their relative merits are still debated. We examined regional differences in signal-to-noise-ratios (SNRs) of cortical sources in MEG and EEG. Data from four subjects were used to simulate focal and extended Sources located on the cortical surface reconstructed from high-resolution magnetic resonance images. The SNR maps for MEG and EEG were found to be complementary. The SNR of deep sources was larger in EEG than in MEG, whereas the opposite was typically the case for Superficial Sources. Overall, the SNR maps were more uniform for EEG than for MEG. When using a noise model based on Uniformly distributed random sources on the cortex, the SNR in MEG was found to be underestimated, compared with the maps obtained with noise estimated from actual recorded MEG and EEG data. With extended Sources, the total area of cortex in which the SNR was higher in EEG than in MEG was larger than with focal sources. Clinically, SNR maps in a patient explained differential sensitivity of MEG and EEG in detecting epileptic activity. Out results emphasize the benefits of recording MEG and EEG simultaneously. Hum Brain Mapp 30:1077-1086, 2009, (C) 2008 Wiey-Liss. Inc.
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