Literature DB >> 16594295

Resistor mesh model of a spherical head: part 2: a review of applications to cortical mapping.

N Chauveau1, J P Morucci, X Franceries, P Celsis, B Rigaud.   

Abstract

A resistor mesh model (RMM) has been validated with reference to the analytical model by consideration of a set of four dipoles close to the cortex. The application of the RMM to scalp potential interpolation was detailed in Part 1. Using the RMM and the same four dipoles, the different methods of cortical mapping were compared and have shown the potentiality of this RMM for obtaining current and potential cortical distributions. The lead-field matrices are well-adapted tools, but the use of a square matrix of high dimension does not permit the inverse solution to be improved in the presence of noise, as a regularisation technique is necessary with noisy data. With the RMM, the transfer matrix and the cortical imaging technique proved to be easy to implement. Further development of the RMM will include application to more realistic head models with more accurate conductivities.

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Year:  2005        PMID: 16594295     DOI: 10.1007/bf02430946

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  51 in total

1.  Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity.

Authors:  A M Dale; A K Liu; B R Fischl; R L Buckner; J W Belliveau; J D Lewine; E Halgren
Journal:  Neuron       Date:  2000-04       Impact factor: 17.173

2.  Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation.

Authors:  J Z Wang; S J Williamson; L Kaufman
Journal:  IEEE Trans Biomed Eng       Date:  1992-07       Impact factor: 4.538

3.  The surface Laplacian of the potential: theory and application.

Authors:  T F Oostendorp; A van Oosterom
Journal:  IEEE Trans Biomed Eng       Date:  1996-04       Impact factor: 4.538

4.  A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem.

Authors:  S Baillet; L Garnero
Journal:  IEEE Trans Biomed Eng       Date:  1997-05       Impact factor: 4.538

5.  Computed radial-current topography of the brain: patterns associated with the normal and abnormal EEG.

Authors:  Z J Koles; A Kasmia; R B Paranjape; D R McLean
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-01

6.  Current source density estimation and interpolation based on the spherical harmonic Fourier expansion.

Authors:  R D Pascual-Marqui; S L Gonzalez-Andino; P A Valdes-Sosa; R Biscay-Lirio
Journal:  Int J Neurosci       Date:  1988-12       Impact factor: 2.292

7.  Estimating regional brain activity from evoked potential fields on the scalp.

Authors:  R Srebro; R M Oguz; K Hughlett; P D Purdy
Journal:  IEEE Trans Biomed Eng       Date:  1993-06       Impact factor: 4.538

8.  Use of the finite element method to determine epicardial from body surface potentials under a realistic torso model.

Authors:  Y Yamashita; T Takahashi
Journal:  IEEE Trans Biomed Eng       Date:  1984-09       Impact factor: 4.538

9.  Theoretical studies on the inverse problem in electrocardiography and the uniqueness of the solution.

Authors:  Y Yamashita
Journal:  IEEE Trans Biomed Eng       Date:  1982-11       Impact factor: 4.538

10.  High-resolution EEG: cortical potential imaging of interictal spikes.

Authors:  X Zhang; W van Drongelen; K E Hecox; V L Towle; D M Frim; A B McGee; B He
Journal:  Clin Neurophysiol       Date:  2003-10       Impact factor: 3.708

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