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

Title
EEG-fMRI features analysis in odorants stimuli with citralva and 2-mercaptoethanol
Authors
Kang, Won-SeokKwon, Hyung-OhMoon, CheilKim, Jin KookYun, SanghunKim, Samhwan
DGIST Authors
Kang, Won-Seok; Kwon, Hyung-Oh; Moon, Cheil; Yun, Sanghun; Kim, Samhwan
Issue Date
2013
Citation
12th IEEE SENSORS 2013 Conference
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
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. © 2013 IEEE.
URI
http://hdl.handle.net/20.500.11750/3826
DOI
10.1109/ICSENS.2013.6688436
Publisher
IEEE Computer Society
Related Researcher
  • Author Moon, Cheil Moon Lab
  • Research Interests Brain convergent science based on chemical senses; olfaction; 감각신경계 기반 뇌융합과학; 후각 신경계
Files:
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Collection:
Convergence Research Center for Wellness2. Conference Papers
Department of Brain and Cognitive SciencesMoon Lab2. Conference Papers


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