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Magnetoencephalography pp 631–645Cite as

Recent Developments in MEG Network Analysis

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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.

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Authors and Affiliations

  1. Department of Clinical Neurophysiology and Magnetoencephalography Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands

    Arjan Hillebrand & Cornelis J. Stam

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  1. Arjan Hillebrand
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  2. Cornelis J. Stam
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Correspondence to Arjan Hillebrand .

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  1. Faculty of Science, Department of Physics, University of Zagreb, Zagreb, Croatia

    Selma Supek

  2. Reno, NV, USA

    Cheryl J. Aine

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  1. Sir Peter Mansfield Magnetic Resonance Centre, School of Physics, University of Nottingham, Nottingham, UK

    Matthew J. Brookes

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Hillebrand, A., Stam, C.J. (2019). Recent Developments in MEG Network Analysis. In: Supek, S., Aine, C. (eds) Magnetoencephalography. Springer, Cham. https://doi.org/10.1007/978-3-030-00087-5_12

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