A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics
The aim of this paper is to propose an approach for an accurate and fast (real-time) computation of the electric field induced inside the whole brain volume during a transcranial magnetic stimulation (TMS) procedure. The numerical solution implements the admittance method for a discretized realistic...
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2015/976854 |
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doaj-5165d8b412df4fae8b5f436ee272a3142020-11-25T01:35:51ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/976854976854A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in ClinicsAlessandra Paffi0Francesca Camera1Filippo Carducci2Gianluigi Rubino3Paolo Tampieri4Micaela Liberti5Francesca Apollonio6Sapienza University of Rome, 00184 Rome, ItalySapienza University of Rome, 00184 Rome, ItalySapienza University of Rome, 00184 Rome, ItalyEMS s.r.l., 40138 Bologna, ItalyEMS s.r.l., 40138 Bologna, ItalySapienza University of Rome, 00184 Rome, ItalySapienza University of Rome, 00184 Rome, ItalyThe aim of this paper is to propose an approach for an accurate and fast (real-time) computation of the electric field induced inside the whole brain volume during a transcranial magnetic stimulation (TMS) procedure. The numerical solution implements the admittance method for a discretized realistic brain model derived from Magnetic Resonance Imaging (MRI). Results are in a good agreement with those obtained using commercial codes and require much less computational time. An integration of the developed code with neuronavigation tools will permit real-time evaluation of the stimulated brain regions during the TMS delivery, thus improving the efficacy of clinical applications.http://dx.doi.org/10.1155/2015/976854 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alessandra Paffi Francesca Camera Filippo Carducci Gianluigi Rubino Paolo Tampieri Micaela Liberti Francesca Apollonio |
spellingShingle |
Alessandra Paffi Francesca Camera Filippo Carducci Gianluigi Rubino Paolo Tampieri Micaela Liberti Francesca Apollonio A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics International Journal of Antennas and Propagation |
author_facet |
Alessandra Paffi Francesca Camera Filippo Carducci Gianluigi Rubino Paolo Tampieri Micaela Liberti Francesca Apollonio |
author_sort |
Alessandra Paffi |
title |
A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics |
title_short |
A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics |
title_full |
A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics |
title_fullStr |
A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics |
title_full_unstemmed |
A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics |
title_sort |
computational model for real-time calculation of electric field due to transcranial magnetic stimulation in clinics |
publisher |
Hindawi Limited |
series |
International Journal of Antennas and Propagation |
issn |
1687-5869 1687-5877 |
publishDate |
2015-01-01 |
description |
The aim of this paper is to propose an approach for an accurate and fast (real-time) computation of the electric field induced inside the whole brain volume during a transcranial magnetic stimulation (TMS) procedure. The numerical solution implements the admittance method for a discretized realistic brain model derived from Magnetic Resonance Imaging (MRI). Results are in a good agreement with those obtained using commercial codes and require much less computational time. An integration of the developed code with neuronavigation tools will permit real-time evaluation of the stimulated brain regions during the TMS delivery, thus improving the efficacy of clinical applications. |
url |
http://dx.doi.org/10.1155/2015/976854 |
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