Title :
Integration of high resolution EEG and fMR for the analysis of the cortical rhythms related to voluntary movements
Author :
Babiloni, F. ; Carducci, F. ; Gratta, C. Del ; Cincotti, E. ; Palomba, M. ; Romani, G.L. ; Rossini, P.M. ; Babiloni, C.
Author_Institution :
Dipt. di Fisiologia, Rome Univ., Italy
Abstract :
In this study, cortical sources of human movement-related potentials were modeled using functional magnetic resonance magnetic (fMR) data as a constraint for linear inverse source estimation from highly sampled (128 channels) EEG data. Determination of the priors in the resolution of the linear inverse problem was performed with the use of information from the hemodynamic coupling between the cortical areas as revealed by the event-related fMR. Applications of hemodynamic constraints were shown in the evaluation of the cortical sources responsible for the synchronization or desynchronization of EEG rhythms during voluntary finger movements
Keywords :
biocontrol; bioelectric potentials; biomechanics; biomedical MRI; electroencephalography; haemodynamics; inverse problems; signal resolution; 128 channels; EEG rhythms; cortical areas; cortical rhythms; cortical sources; desynchronization; event-related fMR; fMR; functional magnetic resonance magnetic data; hemodynamic constraints; hemodynamic coupling; high resolution EEG; highly sampled EEG data; human movement-related potentials; linear inverse problem; linear inverse source estimation; resolution; synchronization; voluntary finger movements; voluntary movements; Bayesian methods; Brain modeling; Electroencephalography; Fingers; Hemodynamics; Inverse problems; Magnetic heads; Magnetic resonance; Rhythm; Scalp;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900387
