Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151024" target="_blank" >RIV/00216305:26220/24:PU151024 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SITA60746.2023.10373593" target="_blank" >https://doi.org/10.1109/SITA60746.2023.10373593</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SITA60746.2023.10373593" target="_blank" >10.1109/SITA60746.2023.10373593</a>

Result language
angličtina
Original language name
Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers
Original language description
Transcranial sonography of the substantia nigra (TCS-SN) may serve as a suitable test for screening groups at a high risk of developing Lewy body diseases (LBDs) such as Parkinson's disease or dementia with Lewy bodies. Although one of the most prominent early markers of these neurodegenerative disorders is the idiopathic rapid eye movement (REM) sleep behavior disorder, the relationship between TCS-SN and sleep alterations has not been fully explored. The aim of this study is to investigate whether sleep-based biomarkers could be used to stratify subjects into three groups with different echogenic areas of the substantia nigra. To achieve this goal, we enrolled 93 participants who underwent TCS-SN and 7-night actigraphy. Additionally, participants completed a sleep diary and the REM sleep behavior disorder screening questionnaire. To assess the severity of pathological echogenicity, we employed a machine learning algorithm utilizing the XGBoost algorithm. The results show that a multimodal assessment of sleep was able to predict the outcomes of TCS-SN with a balanced accuracy of 96 %. Overall, these findings underscore the potential of a comprehensive approach to model the results of TCS-SN and its implications for the prodromal diagnosis of LBDs.
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)
ISBN
9798350308211
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Casablanca, Morocco
Event location
Casablanca
Event date
Nov 22, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)