Median method for determining cortical brain activity in a near infrared spectroscopy image
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F18%3A10377672" target="_blank" >RIV/00216208:11110/18:10377672 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/18:00326472 RIV/00064165:_____/18:10377672
Result on the web
<a href="https://www.prolekare.cz/linkout/105028" target="_blank" >https://www.prolekare.cz/linkout/105028</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Median method for determining cortical brain activity in a near infrared spectroscopy image
Original language description
Near-InfraRed-Spectroscopy (NIRS) is a neuroimaging method of brain cortical activity using low-energy optical radiation to detect local changes in (de)oxyhaemoglobin concentration. A methodology consisting of a raw signal pre-processing phase, followed by statistical analysis based on a general linear model, is currently being used to determine signal activity. The aim of this research is to define the median modification of the standard method usually used for the estimation of cortical activity from the NIRS signal and to verify its applicability in measuring motor tasks for patients with Parkinson's disease. Individual examinations were conducted in 10 cycles, during which finger tapping, and rest phases were alternating. Changes in oxyhaemoglobin concentration were calculated from the native NIRS signal using the modified Lambert-Beer equation. The signals were filtered in the 0.015-0.3 Hz band and fitted by the physiological response function of the brain tissue for each finger tapping cycle separately. The median value from the 10 cycles was then computed. Activity values obtained in individual subjects have been used in Brain Mapping visualizations. These describe motor task patterns during the ON and OFF deep brain stimulation of the subthalamic nucleus in Parkinson's disease, which demonstrates activation in accordance with the current state of knowledge in functional imaging
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
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/NV16-28119A" target="_blank" >NV16-28119A: Analysis of movement disorders for the study of extrapyramidal diseases mechanisms using motion capture camera systems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Lékař a technika
ISSN
0301-5491
e-ISSN
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Volume of the periodical
48
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
11-16
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85049771148