Combining EEG and MEG for the reconstruction of epileptic activity using a calibrated realistic volume conductor model. Aydin, U., Vorwerk, J., Kupper, P., Heers, M., Kugel, H., Galka, A., Hamid, L., Wellmer, J., Kellinghaus, C., Rampp, S., & Wolters, C. PLoS One, 9(3):e93154, 2014.
  author =       "U. Aydin and J. Vorwerk and P. Kupper and M. Heers and H.
                 Kugel and A. Galka and L. Hamid and J. Wellmer and C.
                 Kellinghaus and S. Rampp and C.H. Wolters",
  title =        "Combining EEG and MEG for the reconstruction of epileptic
                 activity using a calibrated realistic volume conductor
  journal =      "PLoS One",
  year =         "2014",
  volume =       "9",
  number =       "3",
  pages =        "e93154",
  robnote =      "To increase the reliability for the non-invasive
                 determination of the irritative zone in presurgical
                 epilepsy diagnosis, we introduce here a new experimental
                 and methodological source analysis pipeline that combines
                 the complementary information in EEG and MEG, and apply it
                 to data from a patient, suffering from refractory focal
                 epilepsy. Skull conductivity parameters in a six
                 compartment finite element head model with brain
                 anisotropy, constructed from individual MRI data, are
                 estimated in a calibration procedure using somatosensory
                 evoked potential (SEP) and field (SEF) data. These data
                 are measured in a single run before acquisition of further
                 runs of spontaneous epileptic activity. Our results show
                 that even for single interictal spikes, volume conduction
                 effects dominate over noise and need to be taken into
                 account for accurate source analysis. While cerebrospinal
                 fluid and brain anisotropy influence both modalities, only
                 EEG is sensitive to skull conductivity and conductivity
                 calibration significantly reduces the difference in
                 especially depth localization of both modalities,
                 emphasizing its importance for combining EEG and MEG
                 source analysis. On the other hand, localization
                 differences which are due to the distinct sensitivity
                 profiles of EEG and MEG persist. In case of a moderate
                 error in skull conductivity, combined source analysis
                 results can still profit from the different sensitivity
                 profiles of EEG and MEG to accurately determine location,
                 orientation and strength of the underlying sources. On the
                 other side, significant errors in skull modeling are
                 reflected in EEG reconstruction errors and could reduce
                 the goodness of fit to combined datasets. For combined EEG
                 and MEG source analysis, we therefore recommend
                 calibrating skull conductivity using additionally acquired
                 SEP/SEF data.",
  bibdate =      "Sun Sep 21 22:02:18 2014",
  pmcid =        "PMC3966892",

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