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

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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.

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Data Availability

The data that support the findings of this study are available from the IT’IS foundationFootnote 7 but restrictions apply to the availability of these data, which were used under licenceFootnote 8 for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the IT’IS foundation.

Notes

  1. https://github.com/CyclotronResearchCentre/shamo

  2. http://www.ceci-hpc.be/

  3. https://github.com/CyclotronResearchCentre/shamo,

  4. https://cyclotronresearchcentre.github.io/shamo/index.html,

  5. https://pypi.org/project/shamo/

  6. https://github.com/CyclotronResearchCentre/shamo-tutorials

  7. https://itis.swiss/virtual-population/regional-human-models/mida-model/,

  8. https://itis.swiss/assets/Downloads/VirtualPopulation/License_Agreements/LicenseAgreementMIDA.pdf,

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Acknowledgements

MG and CP are supported by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS), the former under Grant No. EOS 30446199, Belgium. Computational resources have been provided by the Consortium des Équipements de Calcul Intensif (CÉCI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under Grant No. 2.5020.11 and by the Walloon Region, Belgium.

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Correspondence to Christophe Phillips.

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Grignard, M., Geuzaine, C. & Phillips, C. Shamo: A Tool for Electromagnetic Modeling, Simulation and Sensitivity Analysis of the Head. Neuroinform 20, 811–824 (2022). https://doi.org/10.1007/s12021-022-09574-7

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  • DOI: https://doi.org/10.1007/s12021-022-09574-7

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