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Recent Developments in MEG Network Analysis

  • Arjan HillebrandEmail author
  • Cornelis J. Stam
Reference work entry

Abstract

In this chapter we will describe recent developments in magnetoencephalography (MEG) network analysis, where we will focus on the rationale behind, and application in clinical cohorts, of an atlas-based beamforming approach. This approach contains three main components, namely, (i) the reconstruction of time series of neuronal activation through beamforming; (ii) the use of a standard atlas, which enables comparisons across studies and modalities; and (iii) the estimation of functional connectivity using the phase lag index (PLI), a measure that is insensitive to the effects of field spread/volume conduction. Moreover, we will discuss the use of the minimum spanning tree (MST), which allows for a bias-free characterization of the topology of the reconstructed functional networks. Application of this approach will be illustrated through examples from recent studies in patients with gliomas, Parkinson’s disease, and multiple sclerosis.

Keywords

Resting state Network analysis Graph theory Minimum spanning tree Atlas-based beamformer Phase lag index (PLI) Clinical applications 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Clinical Neurophysiology and Magnetoencephalography Center, Neuroscience Campus AmsterdamVU University Medical CenterAmsterdamThe Netherlands

Section editors and affiliations

  • Matthew J. Brookes
    • 1
  1. 1.Sir Peter Mansfield Magnetic Resonance CentreSchool of Physics, University of NottinghamNottinghamUK

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