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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Main Authors: Alessandra Paffi, Francesca Camera, Filippo Carducci, Gianluigi Rubino, Paolo Tampieri, Micaela Liberti, Francesca Apollonio
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2015/976854
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spelling 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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