Abstract
Electroencephalography combined with functional magnetic resonance imaging (EEG-fMRI) identifies blood oxygenation level dependent (BOLD) signal changes associated with physiological and pathological EEG events. 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 cortical responses in motor areas during finger movement. Thirty-two channels of EEG were recorded in 12 subjects during eyes-closed condition inside a three T magnetic resonance (MR) scanner using an 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 a time-frequency approach to measure time by varying the energy in a signal at a given frequency band by the convolution of the EEG signal with a wavelet family in the alpha and beta bands. The correlation between the BOLD signal associated with the EEG regressor provides that sensory motor region is a source of the EEG. We conclude that combined EEG-fMRI can be used to investigate movement-related oscillations of the human brain inside an MRI scanner and wavelet analysis adds further details on the EEG changes. The movement-related changes in the EEG signals are useful to identify the brain activation sources responsible for BOLD-signal changes.
Original language | English |
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Pages (from-to) | 46-57 |
Number of pages | 12 |
Journal | Brain Topography |
Volume | 23 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2010 |
Keywords
- BOLD
- EEG
- Maps
- Wavelet analysis
- Wavelet energy
ASJC Scopus subject areas
- Anatomy
- Clinical Neurology
- Radiology Nuclear Medicine and imaging
- Neurology
- Radiological and Ultrasound Technology