A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue
Although the power of low-frequency oscillatory field potentials (FP) has been extensively applied previously, few studies have investigated the influence of conducting direction of deep-brain rhythm generator on the power distribution of low-frequency oscillatory FPs on the head surface. To address...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/13/5/900 |
id |
doaj-375e6d2c3e184264b875d1d82d262863 |
---|---|
record_format |
Article |
spelling |
doaj-375e6d2c3e184264b875d1d82d2628632021-06-01T00:27:45ZengMDPI AGSymmetry2073-89942021-05-011390090010.3390/sym13050900A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain TissueHao Cheng0Manling Ge1Abdelkader Nasreddine Belkacem2Xiaoxuan Fu3Chong Xie4Zibo Song5Shenghua Chen6Chao Chen7State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, ChinaState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, ChinaDepartment of Computer and Network Engineering, College of Information Technology, United Arab Emirates University, Al Ain 15551, United Arab EmeritesState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, ChinaState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, ChinaState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, ChinaState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, ChinaKey Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, ChinaAlthough the power of low-frequency oscillatory field potentials (FP) has been extensively applied previously, few studies have investigated the influence of conducting direction of deep-brain rhythm generator on the power distribution of low-frequency oscillatory FPs on the head surface. To address this issue, a simulation was designed based on the principle of electroencephalogram (EEG) generation of equivalent dipole current in deep brain, where a single oscillatory dipole current represented the rhythm generator, the dipole moment for the rhythm generator’s conducting direction (which was orthogonal and rotating every 30 degrees and at pointing to or parallel to the frontal lobe surface) and the (an)isotropic conduction medium for the 3D (a)symmetrical brain tissue. Both the power above average (significant power value, SP value) and its space (SP area) of low-frequency oscillatory FPs were employed to respectively evaluate the strength and the space of the influence. The computation was conducted using the finite element method (FEM) and Hilbert transform. The finding was that either the SP value or the SP area could be reduced or extended, depending on the conducting direction of deep-brain rhythm generator flowing in the (an)isotropic medium, suggesting that the 3D (a)symmetrical brain tissue could decay or strengthen the spatial spread of a rhythm generator conducting in a different direction.https://www.mdpi.com/2073-8994/13/5/900finite element methodelectrical field potentialdipole momentpowerEEG |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hao Cheng Manling Ge Abdelkader Nasreddine Belkacem Xiaoxuan Fu Chong Xie Zibo Song Shenghua Chen Chao Chen |
spellingShingle |
Hao Cheng Manling Ge Abdelkader Nasreddine Belkacem Xiaoxuan Fu Chong Xie Zibo Song Shenghua Chen Chao Chen A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue Symmetry finite element method electrical field potential dipole moment power EEG |
author_facet |
Hao Cheng Manling Ge Abdelkader Nasreddine Belkacem Xiaoxuan Fu Chong Xie Zibo Song Shenghua Chen Chao Chen |
author_sort |
Hao Cheng |
title |
A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue |
title_short |
A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue |
title_full |
A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue |
title_fullStr |
A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue |
title_full_unstemmed |
A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue |
title_sort |
simulation on relation between power distribution of low-frequency field potentials and conducting direction of rhythm generator flowing through 3d asymmetrical brain tissue |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2021-05-01 |
description |
Although the power of low-frequency oscillatory field potentials (FP) has been extensively applied previously, few studies have investigated the influence of conducting direction of deep-brain rhythm generator on the power distribution of low-frequency oscillatory FPs on the head surface. To address this issue, a simulation was designed based on the principle of electroencephalogram (EEG) generation of equivalent dipole current in deep brain, where a single oscillatory dipole current represented the rhythm generator, the dipole moment for the rhythm generator’s conducting direction (which was orthogonal and rotating every 30 degrees and at pointing to or parallel to the frontal lobe surface) and the (an)isotropic conduction medium for the 3D (a)symmetrical brain tissue. Both the power above average (significant power value, SP value) and its space (SP area) of low-frequency oscillatory FPs were employed to respectively evaluate the strength and the space of the influence. The computation was conducted using the finite element method (FEM) and Hilbert transform. The finding was that either the SP value or the SP area could be reduced or extended, depending on the conducting direction of deep-brain rhythm generator flowing in the (an)isotropic medium, suggesting that the 3D (a)symmetrical brain tissue could decay or strengthen the spatial spread of a rhythm generator conducting in a different direction. |
topic |
finite element method electrical field potential dipole moment power EEG |
url |
https://www.mdpi.com/2073-8994/13/5/900 |
work_keys_str_mv |
AT haocheng asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT manlingge asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT abdelkadernasreddinebelkacem asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT xiaoxuanfu asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT chongxie asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT zibosong asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT shenghuachen asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT chaochen asimulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT haocheng simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT manlingge simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT abdelkadernasreddinebelkacem simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT xiaoxuanfu simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT chongxie simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT zibosong simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT shenghuachen simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue AT chaochen simulationonrelationbetweenpowerdistributionoflowfrequencyfieldpotentialsandconductingdirectionofrhythmgeneratorflowingthrough3dasymmetricalbraintissue |
_version_ |
1721414833438457856 |