Neuroelectromagnetic Source Imaging of Brain Dynamics

Rey R. Ramírez (), David Wipf () and Sylvain Baillet ()
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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

Chapter Chapter 8 in Computational Neuroscience, 2010, pp 127-155 from Springer

Abstract: 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.

Keywords: Boundary Element Method; Expectation Maximization; Dipole Orientation; Equivalent Current Dipole; Gain Vector (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-0-387-88630-5_8

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