scholarly journals Modeling of intracranial vessels and Simulation of cerebral blood flow

2020 ◽  
Vol 185 ◽  
pp. 03030
Author(s):  
Yingying Yan ◽  
Li Ke ◽  
Qiang Du ◽  
Xiaodi Ding ◽  
Jia Chen

The stable regulation of cerebral blood flow plays an important role in the normal operation of brain function. The disturbance of cerebral blood flow automatic regulation will lead to brain injury and lead to cerebrovascular disease. Therefore, it is of practical clinical significance to study the fine modeling of intracranial blood vessels. First of all, based on the anatomic structure of the intracranial blood vessels, the above sagittal sinus vein, sigmoid sinus, superior petrosal sinus, transverse sinus and cerebral arterial circle were mainly modeled, the three-dimensional model of cerebral blood flow is constructed. Secondly, the three-dimensional model is given conductivity characteristics. Through the expansion and contraction of cerebral blood vessels to simulate the self-regulation of cerebral blood flow, the simulation method of cerebral blood flow impedance is studied. When the blood flow changes, the brain impedance is calculated. The simulation data shows that the change trend of the electric potential and the whole brain impedance of the outer layer of the brain is consistent with the theoretical analysis. The experimental results show that the impedance curves and changes calculated by the brain model in this study are consistent with the measured impedance results, which shows that the modeling method in this paper is precise and effective, and provides a theoretical basis for further study of cerebral blood flow problems.

2019 ◽  
Vol 17 (3) ◽  
pp. 18-28
Author(s):  
E. Bykova ◽  
A. Savostyanov

Despite the large number of existing methods of the diagnosis of the brain, brain remains the least studied part of the human body. Electroencephalography (EEG) is one of the most popular methods of studying of brain activity due to its relative cheapness, harmless, and mobility of equipment. While analyzing the EEG data of the brain, the problem of solving of the inverse problem of electroencephalography, the localization of the sources of electrical activity of the brain, arises. This problem can be formulated as follows: according to the signals recorded on the surface of the head, it is necessary to determine the location of sources of these signals in the brain. The purpose of my research is to develop a software system for localization of brain activity sources based on the joint analysis of EEG and sMRI data. There are various approaches to solving of the inverse problem of EEG. To obtain the most exact results, some of them involve the use of data on the individual anatomy of the human head – structural magnetic resonance imaging (sMRI data). In this paper, one of these approaches is supposed to be used – Electromagnetic Spatiotemporal Independent Component Analysis (EMSICA) proposed by A. Tsai. The article describes the main stages of the system, such as preprocessing of the initial data; the calculation of the special matrix of the EMSICA approach, the values of which show the level of activity of a certain part of the brain; visualization of brain activity sources on its three-dimensional model.


2000 ◽  
Vol 23 (6) ◽  
pp. 793-842 ◽  
Author(s):  
J. Allan Hobson ◽  
Edward F. Pace-Schott ◽  
Robert Stickgold

Sleep researchers in different disciplines disagree about how fully dreaming can be explained in terms of brain physiology. Debate has focused on whether REM sleep dreaming is qualitatively different from nonREM (NREM) sleep and waking. A review of psychophysiological studies shows clear quantitative differences between REM and NREM mentation and between REM and waking mentation. Recent neuroimaging and neurophysiological studies also differentiate REM, NREM, and waking in features with phenomenological implications. Both evidence and theory suggest that there are isomorphisms between the phenomenology and the physiology of dreams. We present a three-dimensional model with specific examples from normally and abnormally changing conscious states.


2017 ◽  
Vol 43 (9) ◽  
pp. 2033-2044
Author(s):  
Inge H. Gerrits ◽  
Maartje M. Nillesen ◽  
Livia Kapusta ◽  
Johan M. Thijssen ◽  
Chris L. de Korte

1994 ◽  
Vol 150 (1) ◽  
pp. 69-74 ◽  
Author(s):  
R. Schubert ◽  
K.H. Höhne ◽  
A. Pommert ◽  
M. Riemer ◽  
Th. Schiemann ◽  
...  

2012 ◽  
Vol 594-597 ◽  
pp. 2041-2044
Author(s):  
Qin Zhao ◽  
Guo Liang Bai ◽  
Xin Hong Hei ◽  
Peng Fei Zhang

The comprehensive pipeline is a kind of important facilities and equipment and the key to normal operation in metro station, and the certain design requirement of various pipelines’ headroom in specific spatial region need to be met. As a technology centralized upon information and based on three-dimensional mode, BIM technology can express three-dimensional model of metro comprehensive pipeline imaginatively, provide the spatial topological relations among pipelines and relevant detecting calculations. In this paper, the necessity of identification of headroom of metro comprehensive pipeline is deeply analyzed, and then the article designs identification algorithms of headroom of metro comprehensive pipeline according to BIM technology. This algorithm can detect the pipelines which not meet the design requirements of headroom on BIM platform efficiently, thus we can improve design efficiency and quality and liberate labors so that designers can be engaged in more complex design work


1993 ◽  
Vol 71 (3) ◽  
pp. 657-660
Author(s):  
I. Meierhofer

The neuroanatomy of the supraoesophageal ganglion and suboesophageal ganglion of larval Creatonotos transiens (Lepidoptera: Arctiidae) was investigated to obtain a three-dimensional model of the brain. Central projections of antennal and maxillary sensory structures were traced using methods of cobalt diffusion. The majority of antennal axons project to the larval antennal centre in the supraoesophageal ganglion, whereas the major region to which the maxillary inputs project lies within the suboesophageal ganglion.


Sign in / Sign up

Export Citation Format

Share Document