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 language | English |
---|---|
Title of host publication | Magnetoencephalography |
Subtitle of host publication | from signals to dynamic cortical networks |
Editors | Selma Supek, Cheryl J. Aine |
Place of Publication | Cham |
Publisher | Springer, Springer Nature |
Chapter | 30 |
Pages | 733-756 |
Number of pages | 24 |
Edition | 2nd |
ISBN (Electronic) | 9783030000875 |
ISBN (Print) | 9783030000868 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- child
- development+
- dynamic causal modeling (DCM)
- face perception
- graph theory
- M170
- magnetoencephalography (MEG)
- mock scanner
- MST
- N170
- network
- oscillations
- pediatric
- resting-state