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Neuroelectromagnetic Source Imaging of Brain Dynamics

In: Computational Neuroscience

Author

Listed:
  • Rey R. Ramírez

    (Medical College of Wisconsin and Froedtert Hospital)

  • David Wipf

    (University of California San Francisco)

  • Sylvain Baillet

    (Medical College of Wisconsin and Froedtert Hospital)

Abstract

Neuroelectromagnetic source imaging (NSI) is the scientific field devoted to modeling and estimating the spatiotemporal dynamics of the neuronal currents that generate the electric potentials and magnetic fields measured with electromagnetic (EM) recording technologies. Unlike functional magnetic resonance imaging (fMRI), which is indirectly related to neuroelectrical activity through neurovascular coupling [e.g., the blood oxygen level-dependent (BOLD) signal], EM measurements directly relate to the electrical activity of neuronal populations. In the past few decades, researchers have developed a great variety of source estimation techniques that are well informed by anatomy, neurophysiology, and the physics of volume conduction. State-of-the-art approaches can resolve many simultaneously active brain regions and their single trial dynamics and can even reveal the spatial extent of local cortical current flows.

Suggested Citation

  • Rey R. Ramírez & David Wipf & Sylvain Baillet, 2010. "Neuroelectromagnetic Source Imaging of Brain Dynamics," Springer Optimization and Its Applications, in: Wanpracha Chaovalitwongse & Panos M. Pardalos & Petros Xanthopoulos (ed.), Computational Neuroscience, chapter 0, pages 127-155, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-88630-5_8
    DOI: 10.1007/978-0-387-88630-5_8
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    Cited by:

    1. Yohan Attal & Denis Schwartz, 2013. "Assessment of Subcortical Source Localization Using Deep Brain Activity Imaging Model with Minimum Norm Operators: A MEG Study," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-14, March.

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