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M. Schulz, W. Chau, S. J. Graham, A. R. McIntosh, B. Ross, R. Ishii, C. Pantev. An integrative MEG-fMRI study of the primary somatosensory cortex using cross-modal correspondence analysis. NeuroImage, 22(1):120-133, 2004.


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We develop a novel approach of cross-modal correspondence analysis (CMCA) to address whether brain activities observed in magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) represent a common neuronal subpopulation, and if so, which frequency band obtained by MEG best fits the common brain areas. Fourteen adults were investigated by whole-head MEG using a single equivalent current dipole (ECD) and synthetic aperture magnetometry (SAM) approaches and by fMRI at 1.5 T using linear time-invariant modeling to generate statistical maps. The same somatosensory stimulus sequences consisting of tactile impulses to the right sided: digit 1, digit 4 and lower lip were used in both neuroimaging modalities. To evaluate the reproducibility of MEG and fMRI results, one subject was measured repeatedly. Despite different MEG dipole locations and locations of maximum activation in SAM and fMRI, CMCA revealed a common subpopulation of the primary somatosensory cortex, which displays a clear homuncular organization. MEG activity in the frequency range between 30 and 60 Hz, followed by the ranges of 20-30 and 60-100 Hz, explained best the defined subrepresentation given by both MEG and fMRI. These findings have important implications for improving and understanding of the biophysics underlying both neuroimaging techniques, and for determining the best strategy to combine MEG and fMRI data to study the spatiotemporal nature of brain activity


M. Schulz
W. Chau
S. J. Graham
A. R. McIntosh
B. Ross
R. Ishii
C. Pantev

BibTex Reference

   Author = {Schulz, M. and Chau, W. and Graham, S. J. and McIntosh, A. R. and Ross, B. and Ishii, R. and Pantev, C.},
   Title = {An integrative {MEG}-f{MRI} study of the primary somatosensory cortex using cross-modal correspondence analysis},
   Journal = {NeuroImage},
   Volume = {22},
   Number = {1},
   Pages = {120--133},
   Year = {2004}

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