Multivariate approach toward classification of competition and collaboration: An fMRI study

Eun Kyung Jung, Jong-Hwan Lee, Jun Zhang, Soo Young Lee

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

    Abstract

    This functional magnetic resonance imaging (fMRI) study aimed to distinguish neural activation associated with competition and collaboration using multivoxel pattern analysis (MVPA). For each participant, a searchlight-based MVPA was applied to select informative voxels within training data. The support vector machine with a radial basis function kernel was used to obtain classification accuracy of the informative regions. As a result, within-individual maximum classification performance for the test data reached maximally 94.6%. Important regions classifying competition and collaboration were mainly found within prefrontal cortex (e.g., superior/middle frontal gyri) and visual area (e.g., calcarine sulcus and lingual gyrus). Furthermore, visual regions and dorsolateral prefrontal regions showed average accuracy around 70% across participants. In short, neural contribution during competition or collaboration was characterized as differences in multivoxel pattern with a high accuracy.

    Original languageEnglish
    Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781479974948
    DOIs
    Publication statusPublished - 2015 Mar 30
    Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
    Duration: 2015 Jan 122015 Jan 14

    Other

    Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    Country/TerritoryKorea, Republic of
    CityGangwon-Do
    Period15/1/1215/1/14

    Keywords

    • collaboration
    • competition
    • Functional magnetic resonance imaging
    • multivoxel pattern analysis
    • searchlight analysis
    • support vector machine

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Cognitive Neuroscience
    • Sensory Systems

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