<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...

	F4-T4	F3-T3	T4-T8	T3-T7	T8-O2	T7-O1
Rbg, Ohm	529.264	477.82	552.155	507.325	560.549	533.523
R scalp, Ohm	529.116	477.703	551.963	507.142	560.349	533.282
ΔR, Ohm	-0.148	-0.117	-0.192	-0.183	-0.2	-0.241
R brain, Ohm	529.218	477.766	552.108	507.275	560.475	533.454
ΔR, Ohm	-0.046	-0.054	-0.047	-0.05	-0.074	-0.069
R CSF, Ohm	529.296	477.867	552.185	507.368	560.612	533.584
ΔR, Ohm	0.032	0.047	0.03	0.043	0.063	0.061
Amplitude, Ohm	-0.162	-0.124	-0.209	-0.19	-0.211	-0.249

Modelling the Ability of Rheoencephalography to Measure Cerebral Blood Flow

Article Category: Articles

Data publikacji: 25 gru 2014

Zakres stron: 110 - 113

Otrzymano: 27 paź 2014

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

Słowa kluczowe
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.

Fig. 1

Calculated amplitudes of REG

Modelling the Ability of Rheoencephalography to Measure Cerebral Blood Flow

Article Category: Articles

Data publikacji: 25 gru 2014

Zakres stron: 110 - 113

Otrzymano: 27 paź 2014

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

Słowa kluczoweRheoenchephalography, 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.

Fig. 1

Calculated amplitudes of REG

Słowa kluczowe
Rheoenchephalography, finite element model, numerical modelling