Stabilized Linear Model for Neuromagnetic Source Localization

Y.-S. Chen, C.-Y. Cheng, T.-J. Lin, J.-C. Hsieh, and L.-F. Chen (Taiwan)


Magnetoencephalography, source localization, stabilized linear model


In MEG studies, head movement during data recording of ten causes problems in event-related averaging as well as source localization accuracy. We propose in this work a sta bilized linear model which can solve this head movement problem by conceptually increasing the sensor number, un der the condition that the head movement is known. This method is particularly beneficial for MEG studies in which head movement commonly occurs, such as those studies requiring long experimental duration or those when pa tients/children are involved. Phantom studies and studies of somatosensory evoked field clearly show the effective ness and accuracy of the proposed method.

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