Methods for Animal Brain Mapping
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F18%3A00323675" target="_blank" >RIV/68407700:21460/18:00323675 - isvavai.cz</a>
Result on the web
<a href="https://www.radioeng.cz/fulltexts/2018/18_03_0806_0812.pdf" target="_blank" >https://www.radioeng.cz/fulltexts/2018/18_03_0806_0812.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/re.2018.0806" target="_blank" >10.13164/re.2018.0806</a>
Alternative languages
Result language
angličtina
Original language name
Methods for Animal Brain Mapping
Original language description
Measurements of brain electrical activity in animals are essential for the validation of the pharmaco-effect of drugs. The way to evaluate these recordings should be comparable to that of EEG in humans. Methods that visualize the results of the measured EEG recording include brain mapping in two-dimensional or three-dimensional space. The most commonly used methods of interpolation techniques in humans are spherical splines and 3D splines. We measured nine brains of Wistar rats and compared them with a brain model from the atlas (Brain Atlas Reconstructor, BAR). We validated the brain model of Wistar rat for future use. We implemented a module in MATLAB 2015a for brain mapping, specifically, we implemented algorithms for spherical and 3D spline mapping. The root mean square error of the spherical spline method is 0.5943 in the case of testing signal and 0.6291/0.6388 in the case of real data estimation. The root mean square error of the 3D spline method is 0.4334 in the case of testing signal and 0.0849/0.0768 in the case of real data estimation. Our results show that the 3D spline method with the projection on sphere gives significantly better 3D potential map than spherical splines.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/GA17-20480S" target="_blank" >GA17-20480S: Temporal context in analysis of long-term non-stationary multidimensional signal</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Radioengineering
ISSN
1805-9600
e-ISSN
1805-9600
Volume of the periodical
2018
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
806-812
UT code for WoS article
000444598500023
EID of the result in the Scopus database
2-s2.0-85053330335