Pop or not? EEG correlates of risk-Taking behavior In the balloon analogue risk task

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

    4 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication5th International Winter Conference on Brain-Computer Interface, BCI 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages16-19
    Number of pages4
    ISBN (Electronic)9781509050963
    DOIs
    Publication statusPublished - 2017 Feb 16
    Event5th International Winter Conference on Brain-Computer Interface, BCI 2017 - Gangwon Province, Korea, Republic of
    Duration: 2017 Jan 92017 Jan 11

    Publication series

    Name5th International Winter Conference on Brain-Computer Interface, BCI 2017

    Other

    Other5th International Winter Conference on Brain-Computer Interface, BCI 2017
    Country/TerritoryKorea, Republic of
    CityGangwon Province
    Period17/1/917/1/11

    Bibliographical note

    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.

    ASJC Scopus subject areas

    • Signal Processing
    • Human-Computer Interaction

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