Literature DB >> 8728425

Dipole source localization of MEG by BP neural networks.

Y Kinouchi1, G Ohara, H Nagashino, T Soga, F Shichijo, K Matsumoto.   

Abstract

The purpose of this study was to examine the usefulness of BP neural network for source localization of MEG. Since the performance of this method does not depend on the complexity of brain parameters and source models, a homogeneous brain model and a single current dipole source are assumed for convenience. Localization accuracy was examined in relation to the configuration and scale of the network. As a result, average error for position and moment estimations was within 2% while the maximum error was about 5%. It was therefore concluded that the neural network method, was useful for MEG source localization, though some improvements are still necessary.

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Year:  1996        PMID: 8728425     DOI: 10.1007/BF01184791

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  2 in total

1.  Modeling and source localization of MEG activities.

Authors:  S Ueno; K Iramina
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

2.  Artificial neural networks for source localization in the human brain.

Authors:  U R Abeyratne; Y Kinouchi; H Oki; J Okada; F Shichijo; K Matsumoto
Journal:  Brain Topogr       Date:  1991       Impact factor: 3.020

  2 in total
  1 in total

1.  Fast robust subject-independent magnetoencephalographic source localization using an artificial neural network.

Authors:  Sung Chan Jun; Barak A Pearlmutter
Journal:  Hum Brain Mapp       Date:  2005-01       Impact factor: 5.038

  1 in total

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