Literature DB >> 35266105

Shamo: A Tool for Electromagnetic Modeling, Simulation and Sensitivity Analysis of the Head.

Martin Grignard1, Christophe Geuzaine2, Christophe Phillips3.   

Abstract

Accurate electromagnetic modeling of the head of a subject is of main interest in the fields of source reconstruction and brain stimulation. Those processes rely heavily on the quality of the model and, even though the geometry of the tissues can be extracted from magnetic resonance images (MRI) or computed tomography (CT), their physical properties such as the electrical conductivity are difficult to measure with non intrusive techniques. In this paper, we propose a tool to assess the uncertainty in the model parameters, the tissue conductivity, as well as compute a parametric forward models for electroencephalography (EEG) and transcranial direct current stimulation (tDCS) current distribution.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  EEG; Electroencephalography; Head model; Sensitivity analysis; Transcranial direct current stimulation

Mesh:

Year:  2022        PMID: 35266105     DOI: 10.1007/s12021-022-09574-7

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  29 in total

1.  Modeling of the human skull in EEG source analysis.

Authors:  Moritz Dannhauer; Benjamin Lanfer; Carsten H Wolters; Thomas R Knösche
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

2.  Unified segmentation.

Authors:  John Ashburner; Karl J Friston
Journal:  Neuroimage       Date:  2005-04-01       Impact factor: 6.556

3.  Sequence-independent segmentation of magnetic resonance images.

Authors:  Bruce Fischl; David H Salat; André J W van der Kouwe; Nikos Makris; Florent Ségonne; Brian T Quinn; Anders M Dale
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

Review 4.  The dielectric properties of biological tissues: I. Literature survey.

Authors:  C Gabriel; S Gabriel; E Corthout
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

5.  Influence of anisotropic electrical conductivity in white matter tissue on the EEG/MEG forward and inverse solution. A high-resolution whole head simulation study.

Authors:  Daniel Güllmar; Jens Haueisen; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2010-02-13       Impact factor: 6.556

6.  The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

7.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

8.  Influence of the head model on EEG and MEG source connectivity analyses.

Authors:  Jae-Hyun Cho; Johannes Vorwerk; Carsten H Wolters; Thomas R Knösche
Journal:  Neuroimage       Date:  2015-01-29       Impact factor: 6.556

9.  Simultaneous head tissue conductivity and EEG source location estimation.

Authors:  Zeynep Akalin Acar; Can E Acar; Scott Makeig
Journal:  Neuroimage       Date:  2015-08-22       Impact factor: 6.556

10.  Effects of forward model errors on EEG source localization.

Authors:  Zeynep Akalin Acar; Scott Makeig
Journal:  Brain Topogr       Date:  2013-01-26       Impact factor: 3.020

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