Statistical parametric mapping: the analysis of funtional brain images

Statistical Parametric Mapping: The Analysis of Functional Brain Images (eBook)
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source site Science Press, Beijing. Formulations of these problems based on mathematical and numerical approximations of the known source in heart and the volume conductor that can transfer voltages on the surface of the body.

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Editors: William Penny Karl Friston John Ashburner Stefan Kiebel Thomas Nichols. Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data. Functional Imaging Laboratory, Wellcome Department of Imaging Neuroscience, University College London. Statistical Parametric Mapping: The Analysis of Functional Brain Images: Medicine & Health Science Books @ cucumaxu.gq

To analyze the electric potentials on body surface or epicardial surface, a set of discrete equations derived from a boundary integral equations need to be solved. Solving these equations means to get the potential distribution eventually.

TPC - Parametric image

In the process of solving, transfer matrix of discrete equations has received considerable attention, how to get an appropriate transfer matrix is an important issue. This paper found that the direction of normal vector could affect the results when calculating the transfer matrix and presents a method analogous to Mesh Current Method to deal with this direction problem.

Statistical Parametric Mapping: The Analysis of Functional Brain Images

Several simulations have been carried out to verify the accurate results with the correct direction of normal vector using new method within a torso model given simultaneous epicardial and body surface potential recordings. Related Articles:. Date: September 24, Their combined citations are counted only for the first article.

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Statistical Parametric Mapping: The Analysis of Functional Brain Images by Karl J. Friston

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Brain imaging Bayesian inference Systems Neuroscience.