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Development of Human Neurophysiological Activity and Network Dynamics

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Book cover Multimodal Oscillation-based Connectivity Theory

Abstract

Neural oscillations and their coordination among brain areas have been related to the brain’s ability to dynamically modulate communication in distributed networks. Such integration of transient distributed cell assemblies is thought to support the dynamic repertoire of cognition, perception, and behavior. Such neurophysiological connectivity has been linked to phenomena such as metastability and complexity in brain signals. To better understand the maturation of functional neurophysiological activity and network communication dynamics, this chapter reviews the development of classical properties of EEG and MEG rhythms such as spectral power and phase synchronization, as well as measures of functional connectivity based on nonlinear dynamics including information-theoretic measures of functional connectivity, metastability, and signal complexity.

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Authors and Affiliations

  1. Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada

    Vasily A. Vakorin & Sam M. Doesburg

Authors
  1. Vasily A. Vakorin
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  2. Sam M. Doesburg
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Correspondence to Sam M. Doesburg .

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Editors and Affiliations

  1. Neuroscience Center, University of Helsinki, Helsinki, Finland

    Satu Palva

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Vakorin, V.A., Doesburg, S.M. (2016). Development of Human Neurophysiological Activity and Network Dynamics. In: Palva, S. (eds) Multimodal Oscillation-based Connectivity Theory. Springer, Cham. https://doi.org/10.1007/978-3-319-32265-0_7

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