Integration of High Resolution EEG and Functional Magnetic Resonance in the Study of Human Movement-Related Potentials

Abstract:

Cortical sources of human movement-related potentials (i.e. unilateral finger extension) were modeled using functional magnetic resonance imaging (fMR) data as a constraint of a linear inverse source estimation from highly sampled (128 channels) EEG data. Remarkably, this estimation was performed within realistic subject’s MR-constructed head models by boundary element techniques. An appropriate figure of merit served to set the optimal amount of fMR constraints. With respect to standard linear inverse source estimates, fMR-constrained ones presented increased spatial detail and provided a more reliable timing of activation in bilateral sensorimotor cortical regions of interest.

Keywords:

High Resolution EEG - Functional Magnetic Resonance Imaging (fMR) - Cortical Source Modeling - Linear Inverse Estimation - Voluntary Movement

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