Real-time fMRI-based neurofeedback reinforces causality of attention networks

Jong Hwan Lee, Junghoe Kim, Seung Schik Yoo

    Research output: Contribution to journalArticlepeer-review

    48 Citations (Scopus)

    Abstract

    In this study, we investigated the efficacy of a real-time functional magnetic resonance imaging (rtfMRI)-based neurofeedback method for the modulation of the effective connectivity (EC) of causality between attention-related neuronal activities. In participants who received the feedback of attention-related neuronal activity, the EC estimated from Granger causality analysis was reinforced within the task-related network, such as between the bilateral cingulate gyri and frontal cortices, whereas the EC between the task-related network and task-unrelated resting-state network, including the inferior parietal lobule, was diminished. On the other hand, only marginal changes were observed in participants who received " sham" feedback. This " dynamic" characteristic measure of EC based on causality may be useful for evaluating the efficacy of methods designed to modulate brain networks, including rtfMRI-based neurofeedback.

    Original languageEnglish
    Pages (from-to)347-354
    Number of pages8
    JournalNeuroscience Research
    Volume72
    Issue number4
    DOIs
    Publication statusPublished - 2012 Apr

    Bibliographical note

    Funding Information:
    This work was supported by the World Class University (WCU) program through the National Research Foundation (NRF) of Korea funded by the Ministry of Education, Science and Technology ( R31-10008 ) and the Basic Science Research Program , NRF grant of Korea ( 2011-0004794 ). These sponsors had no involvement in study design, data collection, analysis or interpretation of data, manuscript preparation, or the decision to submit for publication.

    Keywords

    • Auditory attention
    • Effective connectivity
    • Functional MRI (fMRI)
    • Granger causality
    • Neurofeedback
    • Real-time fMRI

    ASJC Scopus subject areas

    • General Neuroscience

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