Are posterior default-mode networks more robust than anterior default-mode networks? Evidence from resting-state fMRI data analysis

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    Abstract

    Intrinsic brain activity known as default-mode networks (DMNs) has been observed predominantly within the medial/superior frontal areas, anterior/posterior cingulate gyri, and precuneus using blood-oxygenation-level-dependent (BOLD) functional MRI (fMRI). Despite anecdotal evidence of distinct spatial patterns reflecting neuropsychiatric conditions in these DMNs, rigorous analysis of the characteristic traits of DMNs has been limited in previous studies. In this letter, the reproducibility and potential variability of the anterior and posterior DMNs were evaluated based on individual-level variations in effect sizes, activated areas, and causal interactions. Our results indicated that the DMNs were indeed reproducible between sessions/subjects. Region-specific traits were also observed: the posterior DMN seemed more robust to individual-level variations than the anterior DMN. The proposed analytical methods and reported findings may be useful in the development of a wide range of applications, including those involving clinical populations, which utilize the characteristic traits of DMNs.

    Original languageEnglish
    Pages (from-to)57-62
    Number of pages6
    JournalNeuroscience Letters
    Volume498
    Issue number1
    DOIs
    Publication statusPublished - 2011 Jul 1

    Bibliographical note

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

    Keywords

    • Default-mode networks
    • Effective connectivity
    • Functional MRI
    • Functional connectivity
    • Granger causality analysis
    • Group independent component analysis
    • Reproducibility
    • Resting-state networks

    ASJC Scopus subject areas

    • General Neuroscience

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