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EEG and fMRI Coregistration to Investigate the Cortical Oscillatory Activities During Finger Movement
Authors:Emanuela Formaggio  Silvia Francesca Storti  Mirko Avesani  Roberto Cerini  Franco Milanese  Anna Gasparini  Michele Acler  Roberto Pozzi Mucelli  Antonio Fiaschi  Paolo Manganotti
Affiliation:(1) Section of Neurological Rehabilitation, Department of Neurological and Visual Sciences, “Gianbattista Rossi” Hospital, University of Verona, P.le Scuro, 37134 Verona, Italy;(2) Department of Information Engineering, University of Padova, Padova, Italy;(3) Department of Morphologic and Biomedical Sciences, “Gianbattista Rossi” Hospital, University of Verona, Verona, Italy;(4) IRCCS “San Camillo” Hospital, Venice, Italy
Abstract:
Electroencephalography combined with functional magnetic resonance imaging (EEG-fMRI) may be used to identify blood oxygenation level dependent (BOLD) signal changes associated with physiological and pathological EEG event. In this study we used EEG-fMRI to determine the possible correlation between topographical movement-related EEG changes in brain oscillatory activity recorded from EEG electrodes over the scalp and fMRI-BOLD cortical responses in motor areas during finger movement. Thirty-two channels of EEG were recorded in 9 subjects during eyes-open condition inside a 1.5 T magnetic resonance (MR) scanner using a MR-compatible EEG recording system. Off-line MRI artifact subtraction software was applied to obtain continuous EEG data during␣fMRI acquisition. For EEG data analysis we used the event-related-synchronization/desynchronization (ERS/ERD) approach to investigate where movement-related decreases in alpha and beta power are located. For image statistical analysis we used a general linear model (GLM) approach. There was a significant correlation between the positive-negative ratio of BOLD signal peaks and ERD values in the electrodes over the region of activation. We conclude that combined EEG-fMRI may be used to investigate movement-related oscillations of the human brain inside an MRI scanner and the movement-related changes in the EMG or EEG signals are useful to identify the brain activation sources responsible for BOLD-signal changes.
Keywords:EEG  BOLD  ERD  Alpha power  Beta power
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