Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials.
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.
Babiloni
F
F
Department of Human Physiology, University of Rome La Sapienza, Rome, Italy [corrected]. babiloni@uniroma1.it
Carducci
F
F
Cincotti
F
F
Del Gratta
C
C
Roberti
G M
GM
Romani
G L
GL
Rossini
P M
PM
Babiloni
C
C
D000328:Adult; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D004569:Electroencephalography; D019054:Evoked Potentials, Motor / Q000502:physiology; D007839:Functional Laterality / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007537:Isometric Contraction / Q000502:physiology; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D009043:Motor Activity / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted