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Hub of functional network changes from real-time fMRI neurofeedback on heavy smokers

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

    Abstract

    Real-time functional magnetic resonance imaging (rtfMRI) neurofeedback (NF) has widely been adopted to regulate the neuronal activity (NA) within regions-of-interest. Despite the fact that functional connectivity (FC) changes via rtfMRI-NF, there was no study to explicitly provide the FC patterns as NF signals. Therefore, both NA and FC patterns were adopted as feedback signal to investigate a potential utility of the FC-enabled rtfMRI-NF. To compare two different conditions (i.e., traditional rtfMRI-NF based on only NA and proposed rtfMRI-NF considering both NA and FC) from fourteen heavy smokers, the FC via pair-wise correlation from group ICA was compared between two NF conditions fixing a stimulus. The components including precuneus were shown significant difference (p < 10<sup>-3</sup>) between NF conditions, commonly estimated across 12 different stimuli. This result would indicate that the hub of functional network changes depending on NF types for smoking addiction is localized into a part of precuneus.

    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

    • functional connectivity
    • Functional magnetic resonance imaging
    • neuronal activity
    • real-time fMRI neurofeedback

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Cognitive Neuroscience
    • Sensory Systems

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