MEG studies on the connectivity of brain networks in children

Blake W. Johnson*, Wei He

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

    Abstract

    In recent years MEG has been well established as a method for investigating neuronal connectivity of human brain networks. In this chapter we consider the application of network MEG methods to the studies of the developing brain. We begin with an overview of methodological challenges of pediatricMEG, consider a key problem presented by the small and variable head geometries of children, and discuss methods and ancillary technologies that have aided our own research using a dedicated pediatric MEG scanner. We then turn to our MEG research on the development of neuronal oscillations, the resting-state network, and face processing, with a focus on functional connectivity and network analyses. We aim to provide an accessible introduction to, and motivating evidence for, using MEG to study normative and nonnormative brain development from a network perspective.

    Original languageEnglish
    Title of host publicationMagnetoencephalography
    Subtitle of host publicationfrom signals to dynamic cortical networks
    EditorsSelma Supek, Cheryl J. Aine
    Place of PublicationCham
    PublisherSpringer, Springer Nature
    Chapter30
    Pages733-756
    Number of pages24
    Edition2nd
    ISBN (Electronic)9783030000875
    ISBN (Print)9783030000868
    DOIs
    Publication statusPublished - 2019

    Keywords

    • child
    • development+
    • dynamic causal modeling (DCM)
    • face perception
    • graph theory
    • M170
    • magnetoencephalography (MEG)
    • mock scanner
    • MST
    • N170
    • network
    • oscillations
    • pediatric
    • resting-state

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