EEG and fMRI Coregistration to Investigate the Cortical Oscillatory Activities During Finger Movement

• Published in: Brain topography Vol. 21; no. 2; pp. 100 - 111
• Main Authors: Formaggio, Emanuela, Storti, Silvia Francesca, Avesani, Mirko, Cerini, Roberto, Milanese, Franco, Gasparini, Anna, Acler, Michele, Pozzi Mucelli, Roberto, Fiaschi, Antonio, Manganotti, Paolo
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.12.2008; Springer Nature B.V
• Subjects: Adult; Biomedical and Life Sciences; Biomedicine; Brain Mapping - methods; Cerebral Cortex - anatomy & histology; Cerebral Cortex - physiology; Cortical Synchronization - methods; Electroencephalography - methods; Female; Fingers - physiology; Functional Laterality - physiology; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging - methods; Male; Mathematical Computing; Middle Aged; Motor Cortex - physiology; Movement - physiology; Neurology; Neurosciences; Original Paper; Oxygen Consumption - physiology; Psychiatry; Psychomotor Performance - physiology; Signal Processing, Computer-Assisted; Young Adult; Beta power; BOLD; EEG; ERD; Alpha power
• ISSN: 0896-0267; 1573-6792; 1573-6792
• DOI: 10.1007/s10548-008-0058-1

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.