TY - GEN
T1 - Pop or not? EEG correlates of risk-Taking behavior In the balloon analogue risk task
AU - Chen, Yiyu
AU - Wallraven, Christian
N1 - Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation 01' Korea (NRF) 1'unded by the Ministry 01' Science, leT & Future planning (NRF-2013R I A I A I O I I , NRF-2015S I A5A8018) and the Brain Korea 21 plus program through the National Research Foundation 01' Korea (NRF) 1'unded by the Ministry 01' Education.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/2/16
Y1 - 2017/2/16
N2 - Peoples' risk-Taking behavior varies from timid and careful, low-risk individuals to bold and careless, high-risk individuals. Can we use EEG to predict who is who? In the present study, we use the balloon analogue risk task (BART) in an EEG experiment in order to find out potential correlates in the EEG signal that allow us to distinguish high risk-Takers from low risk-Takers. SpecificaIly, we examine the feedback-related negativity components (FRN) in the EEG spectrum and ERP components as potential candidates for such a distinction. Using a sampie of 17 participants, we find a reliable, larger FRN for risk avoiders as weIl as increased delta and theta power in several central electrode sites. These results represent the first step towards robust bio-markers of risk-Taking behavior.
AB - Peoples' risk-Taking behavior varies from timid and careful, low-risk individuals to bold and careless, high-risk individuals. Can we use EEG to predict who is who? In the present study, we use the balloon analogue risk task (BART) in an EEG experiment in order to find out potential correlates in the EEG signal that allow us to distinguish high risk-Takers from low risk-Takers. SpecificaIly, we examine the feedback-related negativity components (FRN) in the EEG spectrum and ERP components as potential candidates for such a distinction. Using a sampie of 17 participants, we find a reliable, larger FRN for risk avoiders as weIl as increased delta and theta power in several central electrode sites. These results represent the first step towards robust bio-markers of risk-Taking behavior.
UR - http://www.scopus.com/inward/record.url?scp=85016045787&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016045787&partnerID=8YFLogxK
U2 - 10.1109/IWW-BCI.2017.7858146
DO - 10.1109/IWW-BCI.2017.7858146
M3 - Conference contribution
AN - SCOPUS:85016045787
T3 - 5th International Winter Conference on Brain-Computer Interface, BCI 2017
SP - 16
EP - 19
BT - 5th International Winter Conference on Brain-Computer Interface, BCI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Winter Conference on Brain-Computer Interface, BCI 2017
Y2 - 9 January 2017 through 11 January 2017
ER -