<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Despite the long history of rheoencephalography (REG), some important aspects of the method are still debatable. Bioimpedance measurements offer great potential benefit for study of the human brain, but the traditional four or six electrode method suffers from potential misinterpretations and lack of accuracy. The objective of this paper is to study the possible mechanism of REG formation by means of numerical modelling using a realistic finite element model of the human head. It is shown that the cardiac related variations in electrical resistivity of the scalp contributes more than 60% to the REG amplitude, whereas the brain and cerebrospinal fluid are mutually compensated by each over.</p></abstract>

Despite the long history of rheoencephalography (REG), some important aspects of the method are still debatable. Bioimpedance measurements offer great potential benefit for study of the human brain, but the traditional four or six electrode method suffers from potential misinterpretations and lack of accuracy. The objective of this paper is to study the possible mechanism of REG formation by means of numerical modelling using a realistic finite element model of the human head. It is shown that the cardiac related variations in electrical resistivity of the scalp contributes more than 60% to the REG amplitude, whereas the brain and cerebrospinal fluid are mutually compensated by each over.

Modelling the Ability of Rheoencephalography to Measure Cerebral Blood Flow

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Modelling the Ability of Rheoencephalography to Measure Cerebral Blood Flow"}

Despite the long history of rheoencephalography (REG), some important aspects of the method are still debatable. Bioimpedance measurements offer great...

Modelling the Ability of Rheoencephalography to Measure Cerebral Blood Flow

Article Category: Articles

Online veröffentlicht: 25. Dez. 2014

Seitenbereich: 110 - 113

Eingereicht: 27. Okt. 2014

DOI: https://doi.org/10.5617/jeb.962

Schlüsselwörter
Rheoenchephalography, finite element model, numerical modelling

© 2014 Konstantin S. Brazovskii, Jacov S. Pekker, Oleg S.Umanskii, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Modelling the Ability of Rheoencephalography to Measure Cerebral Blood Flow

Article Category: Articles

Online veröffentlicht: 25. Dez. 2014

Seitenbereich: 110 - 113

Eingereicht: 27. Okt. 2014

DOI: https://doi.org/10.5617/jeb.962

SchlüsselwörterRheoenchephalography, finite element model, numerical modelling

© 2014 Konstantin S. Brazovskii, Jacov S. Pekker, Oleg S.Umanskii, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Rheoenchephalography, finite element model, numerical modelling