Literature DB >> 9146494

The resolution-field concept.

B Lütkenhöner1, R Grade de Peralta Menendez.   

Abstract

The concept of a resolution field provides a means to compare arbitrary estimators of a brain activity of interest (AOI), represented, for example, by the amplitude of a dipole at a certain location of interest with well-defined and known direction. Like the lead field, it represents a vector field with the property that a measure of the impact of a hypothetical dipole at an arbitrary point in the brain is obtained by calculating the scalar product with the respective dipole moment. While in the case of the lead field this measure of impact quantifies the contribution of a hypothetical dipole to the data recorded in a specific measurement channel, in the case of the resolution field it quantifies the contribution of a hypothetical dipole to the estimate of the AOI. The resolution-field concept, which uses elements of the Backus-Gilbert theory and is closely related to the concept of a resolution matrix, is illustrated with examples based on a simulated measurement with a 148-channel magnetometer system.

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Year:  1997        PMID: 9146494     DOI: 10.1016/s0013-4694(96)96590-6

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  5 in total

1.  Backus and Gilbert method for vector fields.

Authors:  R Grave de Peralta Menendez; S L Gonzalez Andino
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  Monte Carlo simulation studies of EEG and MEG localization accuracy.

Authors:  Arthur K Liu; Anders M Dale; John W Belliveau
Journal:  Hum Brain Mapp       Date:  2002-05       Impact factor: 5.038

3.  Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalography data: Monte Carlo simulations.

Authors:  A K Liu; J W Belliveau; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

4.  Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics.

Authors:  Olaf Hauk; Daniel G Wakeman; Richard Henson
Journal:  Neuroimage       Date:  2010-09-25       Impact factor: 6.556

5.  EEG/MEG source imaging: methods, challenges, and open issues.

Authors:  Katrina Wendel; Outi Väisänen; Jaakko Malmivuo; Nevzat G Gencer; Bart Vanrumste; Piotr Durka; Ratko Magjarević; Selma Supek; Mihail Lucian Pascu; Hugues Fontenelle; Rolando Grave de Peralta Menendez
Journal:  Comput Intell Neurosci       Date:  2009-07-20
  5 in total

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