Literature DB >> 16177498

Fast multipole acceleration of the MEG/EEG boundary element method.

Jan Kybic1, Maureen Clerc, Olivier Faugeras, Renaud Keriven, Théo Papadopoulo.   

Abstract

The accurate solution of the forward electrostatic problem is an essential first step before solving the inverse problem of magneto- and electroencephalography (MEG/EEG). The symmetric Galerkin boundary element method is accurate but cannot be used for very large problems because of its computational complexity and memory requirements. We describe a fast multipole-based acceleration for the symmetric boundary element method (BEM). It creates a hierarchical structure of the elements and approximates far interactions using spherical harmonics expansions. The accelerated method is shown to be as accurate as the direct method, yet for large problems it is both faster and more economical in terms of memory consumption.

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Year:  2005        PMID: 16177498     DOI: 10.1088/0031-9155/50/19/018

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  15 in total

1.  From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.

Authors:  Samuel A Inverso; Xin-Lin Goh; Linda Henriksson; Simo Vanni; Andrew C James
Journal:  Hum Brain Mapp       Date:  2016-02-12       Impact factor: 5.038

2.  Reduced temporal processing in older, normal-hearing listeners evident from electrophysiological responses to shifts in interaural time difference.

Authors:  Erol J Ozmeral; David A Eddins; Ann C Eddins
Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

3.  Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition.

Authors:  Recep A Ozdemir; Ehsan Tadayon; Pierre Boucher; Davide Momi; Kelly A Karakhanyan; Michael D Fox; Mark A Halko; Alvaro Pascual-Leone; Mouhsin M Shafi; Emiliano Santarnecchi
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-19       Impact factor: 11.205

4.  Comparative performance of the finite element method and the boundary element fast multipole method for problems mimicking transcranial magnetic stimulation (TMS).

Authors:  Aung Thu Htet; Guilherme B Saturnino; Edward H Burnham; Gregory M Noetscher; Aapo Nummenmaa; Sergey N Makarov
Journal:  J Neural Eng       Date:  2019-01-03       Impact factor: 5.379

5.  Quantifying the accuracy of automated structure segmentation in 4D CT images using a deformable image registration algorithm.

Authors:  Krishni Wijesooriya; E Weiss; V Dill; L Dong; R Mohan; S Joshi; P J Keall
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

6.  Comparison of spherical and realistically shaped boundary element head models for transcranial magnetic stimulation navigation.

Authors:  Aapo Nummenmaa; Matti Stenroos; Risto J Ilmoniemi; Yoshio C Okada; Matti S Hämäläinen; Tommi Raij
Journal:  Clin Neurophysiol       Date:  2013-07-25       Impact factor: 3.708

7.  A Quasi-Static Boundary Element Approach With Fast Multipole Acceleration for High-Resolution Bioelectromagnetic Models.

Authors:  Sergey N Makarov; Gregory M Noetscher; Tommi Raij; Aapo Nummenmaa
Journal:  IEEE Trans Biomed Eng       Date:  2018-03-07       Impact factor: 4.538

Review 8.  Review on solving the forward problem in EEG source analysis.

Authors:  Hans Hallez; Bart Vanrumste; Roberta Grech; Joseph Muscat; Wim De Clercq; Anneleen Vergult; Yves D'Asseler; Kenneth P Camilleri; Simon G Fabri; Sabine Van Huffel; Ignace Lemahieu
Journal:  J Neuroeng Rehabil       Date:  2007-11-30       Impact factor: 4.262

9.  Boundary Element Fast Multipole Method for Enhanced Modeling of Neurophysiological Recordings.

Authors:  Sergey N Makarov; Matti Hamalainen; Yoshio Okada; Gregory M Noetscher; Jyrki Ahveninen; Aapo Nummenmaa
Journal:  IEEE Trans Biomed Eng       Date:  2020-12-21       Impact factor: 4.538

10.  Forward field computation with OpenMEEG.

Authors:  Alexandre Gramfort; Théodore Papadopoulo; Emmanuel Olivi; Maureen Clerc
Journal:  Comput Intell Neurosci       Date:  2011-03-14
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