Title :
EEG-fMRI features analysis in odorants stimuli with citralva and 2-mercaptoethanol
Author :
Won-Seok Kang ; Hyung-Oh Kwon ; Cheil Moon ; Jin Kook Kim ; Sanghun Yun ; Samhwan Kim
Author_Institution :
IT-Convergence Div., Daegu Gyeongbuk Inst. of Sci. & Technol. (DGIST), Daegu, South Korea
Abstract :
In this paper, we presented the undefined patterns of EEG and fMRI features in the stimuli of citralva and 2-mercaptoethanol which be used as a standard in olfaction stimuli to the selected subjects. We placed the 4 channel-based EEG electrodes. In addition, we tried to analyze fMRI data of one trial for each stimulus to improve the EEG drawbacks. As a result of EEG-fMRI data analysis, we confirmed that the odorant (citralva) occurred to decrease the average relative power (ARP) values of alpha, beta and gamma bands when compared with the stable and rest sessions and the odorant (2-mercaptoethanol) occurred to increase the ARP values of alpha, beta and gamma bands. fMRI data on citralva and 2-mercaptoethanol stimuli showed that the particular brain area was deactivated in citralva stimuli and activated in 2-mercaptoethanol. It showed that meaningful EEG signals can be measured with just a few electrodes.
Keywords :
biomedical MRI; biomedical electrodes; chemioception; data analysis; electroencephalography; feature extraction; medical signal processing; molecular biophysics; organic compounds; 2-mercaptoethanol; EEG signals; EEG-fMRI data analysis; EEG-fMRI feature analysis; alpha bands; average relative power values; beta bands; brain area; channel-based EEG electrodes; citralva stimuli; gamma bands; odorant stimuli; olfaction stimuli; rest sessions; Data acquisition; Electrodes; Electroencephalography; Feature extraction; Materials; Olfactory; Protocols;
Conference_Titel :
SENSORS, 2013 IEEE
Conference_Location :
Baltimore, MD
DOI :
10.1109/ICSENS.2013.6688436
