Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter August 18, 2017

Head phantoms for electroencephalography and transcranial electric stimulation: a skull material study

  • Alexander Hunold EMAIL logo , Daniel Strohmeier , Patrique Fiedler and Jens Haueisen

Abstract

Physical head phantoms allow the assessment of source reconstruction procedures in electroencephalography and electrical stimulation profiles during transcranial electric stimulation. Volume conduction in the head is strongly influenced by the skull, which represents the main conductivity barrier. Realistic modeling of its characteristics is thus important for phantom development. In the present study, we proposed plastic clay as a material for modeling the skull in phantoms. We analyzed five clay types varying in granularity and fractions of fire clay, each with firing temperatures from 550°C to 950°C. We investigated the conductivity of standardized clay samples when immersed in a 0.9% sodium chloride solution with time-resolved four-point impedance measurements. To test the reusability of the clay model, these measurements were repeated after cleaning the samples by rinsing in deionized water for 5 h. We found time-dependent impedance changes for approximately 5 min after immersion in the solution. Thereafter, the conductivities stabilized between 0.0716 S/m and 0.0224 S/m depending on clay type and firing temperatures. The reproducibility of the measurement results proved the effectiveness of the rinsing procedure. Clay provides formability, is permeable to ions, can be adjusted in conductivity value and is thus suitable for the skull modeling in phantoms.

Acknowledgments

We would like to thank the Technical Expert, Chamber of Crafts, Erfurt, Germany, Mr. Stefan Hasenöhrl, who supported us in the selection of clay types and manufactured the clay samples. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 686865 (project BREAKBEN), from the Thuringian Ministry of Economic Affairs, Science and Digital Society under FGR 0085 (project BASIs), and from the German Research Foundation under grand number HA 2899/21-1.

References

[1] Aydin Ü, Vorwerk J, Dümpelmann M, et al. Combined EEG/MEG can outperform single modality EEG or MEG source reconstruction in presurgical epilepsy diagnosis. PLoS One 2015; 10: e0118753.10.1371/journal.pone.0118753Search in Google Scholar PubMed

[2] Baillet S, Mosher JC, Leahy RM. Electromagnetic brain mapping. IEEE Signal Process Mag 2001; 18: 14–30.10.1109/79.962275Search in Google Scholar

[3] Baillet S, Riera JJ, Marin G, Mangin JF, Aubert J, Garnero L. Evaluation of inverse methods and head models for EEG source localization using a human skull phantom. Phys Med Biol 2001; 46: 77–96.10.1088/0031-9155/46/1/306Search in Google Scholar PubMed

[4] Barbour RL, Graber HL, Xu Y, et al. A programmable laboratory testbed in support of evaluation of functional brain activation and connectivity. IEEE Trans Neural Syst Rehabil Eng 2012; 20: 170–183.10.1109/TNSRE.2012.2185514Search in Google Scholar PubMed

[5] Collier TJ, Kynor DB, Bieszczad J, Audette WE, Kobylarz EJ, Diamond SG. Creation of a human head phantom for testing of electroencephalography equipment and techniques. IEEE Trans Biomed Eng 2012; 59: 2628–2634.10.1109/TBME.2012.2207434Search in Google Scholar PubMed

[6] Cooper RJ, Bhatt D, Everdell NL, Jeremy CH. A tissue-like optically turbid and electrically conducting phantom for simultaneous EEG and near-infrared imaging. Phys Med Biol 2009; 54: N403.10.1088/0031-9155/54/18/N01Search in Google Scholar PubMed

[7] Cooper RJ, Eames R, Brunker J, Enfield LC, Gibson AP, Hebden JC. A tissue equivalent phantom for simultaneous near-infrared optical tomography and EEG. Biomed Opt Express 2010; 1: 425–430.10.1364/BOE.1.000425Search in Google Scholar PubMed

[8] Geddes LA, Baker LE. The specific resistance of biological material – a compendium of data for the biomedical engineer and physiologist. Med Biol Eng 1967; 5: 271–293.10.1007/BF02474537Search in Google Scholar PubMed

[9] Hofner N, Albrecht HH, Cassara AM, et al. Are brain currents detectable by means of low-field NMR? A phantom study. Magn Reson Imaging 2011; 29: 1365–1373.10.1016/j.mri.2011.07.009Search in Google Scholar PubMed

[10] Homma S, Musha T, Nakajima Y, et al. Conductivity ratios of the scalp-skull-brain head model in estimating equivalent dipole sources in human brain. Neurosci Res 1995; 22: 51–55.10.1016/0168-0102(95)00880-3Search in Google Scholar PubMed

[11] Hunold A, Haueisen J, Ahtam B, et al. Localization of the epileptogenic foci in tuberous sclerosis complex: a pediatric case report. Front Hum Neurosci 2014; 8: 175.10.3389/fnhum.2014.00175Search in Google Scholar PubMed

[12] Jung YJ, Kim JH, Kim D, Im CH. An image-guided transcranial direct current stimulation system: a pilot phantom study. Physiol Meas 2013; 34: 937–950.10.1088/0967-3334/34/8/937Search in Google Scholar PubMed

[13] Kim D, Jeong J, Jeong S, Kim S, Jun SC, Chung E. Validation of computational studies for electrical brain stimulation with phantom head experiments. Brain Stimul 2015; 8: 914–935.10.1016/j.brs.2015.06.009Search in Google Scholar PubMed

[14] Leahy RM, Mosher JC, Spencer ME, Huang MX, Lewine JD. A study of dipole localization accuracy for MEG and EEG using a human skull phantom. Electroencephalogr Clin Neurophysiol 1998; 107: 159–173.10.1016/S0013-4694(98)00057-1Search in Google Scholar PubMed

[15] Lewis JA, Smay JE, Stuecker J, Cesarano J. Direct ink writing of three-dimensional ceramic structures. J Am Ceram Soc 2006; 89: 3599–3609.10.1111/j.1551-2916.2006.01382.xSearch in Google Scholar

[16] Nitsche MA, Paulus W. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol 2000; 527: 633–639.10.1111/j.1469-7793.2000.t01-1-00633.xSearch in Google Scholar PubMed PubMed Central

[17] Oostendorp TF, Delbeke J, Stegeman DF. The conductivity of the human skull: results of in vivo and in vitro measurements. IEEE Trans Biomed Eng 2000; 47: 1487–1492.10.1109/TBME.2000.880100Search in Google Scholar PubMed

[18] Sadleir RJ, Neralwala F, Te T, Tucker A. A controllably anisotropic conductivity or diffusion phantom constructed from isotropic layers. Ann Biomed Eng 2009; 37: 2522–2531.10.1007/s10439-009-9799-6Search in Google Scholar PubMed PubMed Central

[19] Sperandio M, Guermandi M, Guerrieri R. A four-shell diffusion phantom of the head for electrical impedance tomography. IEEE Trans Biomed Eng 2012; 59: 383–389.10.1109/TBME.2011.2173197Search in Google Scholar PubMed

[20] Stenroos M, Hunold A, Haueisen J. Comparison of three-shell and simplified volume conductor models in magnetoencephalography. Neuroimage 2014; 94: 337–348.10.1016/j.neuroimage.2014.01.006Search in Google Scholar PubMed

[21] Tenner U, Haueisen J, Nowak H, Leder U, Brauer H. Source localization in an inhomogeneous physical thorax phantom. Phys Med Biol 1999; 44: 1969–1981.10.1088/0031-9155/44/8/309Search in Google Scholar PubMed

[22] Wagner S, Lucka F, Vorwerk J, et al. Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem. Neuroimage 2016; 140: 163–173.10.1016/j.neuroimage.2016.04.005Search in Google Scholar PubMed

[23] Wendel K, Narra NG, Hannula M, Kauppinen P, Malmivuo J. The influence of CSF on EEG sensitivity distributions of multilayered head models. IEEE Trans Biomed Eng 2008; 55: 1454–1456.10.1109/TBME.2007.912427Search in Google Scholar PubMed

[24] Wetterling F, Liehr M, Schimpf P, Liu H, Haueisen J. The localization of focal heart activity via body surface potential measurements: tests in a heterogeneous torso phantom. Phys Med Biol 2009; 54: 5395–5409.10.1088/0031-9155/54/18/003Search in Google Scholar PubMed

Received: 2017-05-05
Accepted: 2017-07-17
Published Online: 2017-08-18
Published in Print: 2018-11-27

©2018 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 28.4.2024 from https://www.degruyter.com/document/doi/10.1515/bmt-2017-0069/html
Scroll to top button