Anisotropic Conductivity of Rat's Head Phantom and Its Influence on Electroencephalogram Source Localization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11120%2F22%3A43922936" target="_blank" >RIV/00216208:11120/22:43922936 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1109/ACCESS.2022.3143952" target="_blank" >https://doi.org/10.1109/ACCESS.2022.3143952</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2022.3143952" target="_blank" >10.1109/ACCESS.2022.3143952</a>

Result language

angličtina

Original language name

Anisotropic Conductivity of Rat's Head Phantom and Its Influence on Electroencephalogram Source Localization

Original language description

In this paper we deal with a simplified anisotropic rat head phantom development and the investigation of the influence of the anisotropic white matter on electroencephalogram source localization. The proposed phantom is based on the cubic cross cell composition combined with agar mixture to set desired electrical conductivity anisotropic ratio. For the fabrication of the phantom, the 3D printed technology is exploited. Starting from a real rat brain, we proposed a simplified brain model incorporating the actual dimensions, shape and conductivity parameters of both grey and white matter containing simultaneously relevant deep-brain electrical signal sources. Five testing dipoles were located in the areas corresponding to the active brain regions. A single dipole localization error was calculated by comparing an inverse solution with a dipole position obtained from a computer tomography image. Neglecting anisotropy had a rather weak effect on localization error of a single testing dipole in our model. The reliability map was computed and interpreted in terms of spatial similarity between distributed inverse solutions involving isotropic and anisotropic forward models. We found spatially specific error increases located close to the electrodes and in the vicinity of anisotropic compartment. Hence, areas to be most sensitive to neglecting anisotropy in our model were identified. Author

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Volume of the periodical

10

Issue of the periodical within the volume

January

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

9877-9888

UT code for WoS article

000826170800001

EID of the result in the Scopus database

2-s2.0-85123386449