EEG-fMRI features analysis in odorants stimuli with citralva and 2-mercaptoethanol

Won Seok Kang, Hyung Oh Kwon, Cheil Moon, Jin Kook Kim, Sanghun Yun, Samhwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationIEEE SENSORS 2013 - Proceedings
StatePublished - 2013
Externally publishedYes
Event12th IEEE SENSORS 2013 Conference - Baltimore, MD, United States
Duration: Nov 4 2013Nov 6 2013


Other12th IEEE SENSORS 2013 Conference
Country/TerritoryUnited States
CityBaltimore, MD

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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