GeNeDis 2022
Springer International Publishing
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Attention Score in Context
| Chapter title |
On Modelling Electrical Conductivity of the Cerebral White Matter.
|
|---|---|
| Book title |
GeNeDis 2022
|
| Published in |
Advances in experimental medicine and biology, July 2023
|
| DOI | 10.1007/978-3-031-31982-2_9 |
| Pubmed ID | |
| Book ISBNs |
978-3-03-131981-5, 978-3-03-131982-2
|
| Authors |
Perakis, Emmanouil |
| Abstract |
The conductivity, in general, of the brain tissues is a characteristic key of functional cerebral changes. White matter electric conductivity appears to be extremely anisotropic, so a tensor (matrix) is needed to describe it. Traditional methods of imaging brain electrical properties fail to capture it and required the interpolation of the diffusion matrix. The electrochemical model is suitable for analysis, while, on the other hand, the volume fraction model is suitable for studying the effect of white matter structural changes in relation to electrical conductivity. It adopts a relevant algorithm, based upon a linear conductivity-to-diffusivity relationship and a volume constraint, respectively. It incorporates the effects of the partial volume of the cerebrospinal fluid and the structure of the neuronal fiber crossing, which was not achieved by the existing algorithms, accomplishing a more accurate estimation of the anisotropic conductivity of the white matter. Diffusion matrix imaging is a powerful noninvasive method for characterizing neuronal tissue in the human brain. The ultimate goal is to study and draw appropriate conclusions, regarding the molecule diffusion in the brain under normal physiological conditions and the changes that occur in development, diseases, and aging. The ability to measure the electrical conductivity of brain tissues in a noninvasive way also helps in characterizing endogenous currents by measuring the associated electromagnetic fields. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 July 2023.
All research outputs
#20,064,783
of 24,661,808 outputs
Outputs from Advances in experimental medicine and biology
#3,584
of 5,220 outputs
Outputs of similar age
#243,434
of 339,683 outputs
Outputs of similar age from Advances in experimental medicine and biology
#64
of 97 outputs
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So far Altmetric has tracked 5,220 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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