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MIKULEC, M. BRABENEC, L. MEKYSKA, J. BOČKOVÁ, K. GÁLÁŽ, Z. REKTOROVÁ, I.
Original Title
Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers
Type
conference paper
Language
English
Original Abstract
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.
Keywords
actigraphy; Lewy body diseases; REM sleep behavior disorder; screening questionnaires; sleep diary; substantia nigra; transcranial sonography
Authors
MIKULEC, M.; BRABENEC, L.; MEKYSKA, J.; BOČKOVÁ, K.; GÁLÁŽ, Z.; REKTOROVÁ, I.
Released
3. 1. 2024
Publisher
Institute of Electrical and Electronics Engineers Inc.
Location
Casablanca, Morocco
ISBN
9798350308211
Book
2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)
Edition
1
Pages from
Pages to
6
Pages count
URL
https://doi.org/10.1109/SITA60746.2023.10373593
BibTex
@inproceedings{BUT188163, author="MIKULEC, M. and BRABENEC, L. and MEKYSKA, J. and BOČKOVÁ, K. and GÁLÁŽ, Z. and REKTOROVÁ, I.", title="Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers", booktitle="2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)", year="2024", series="1", pages="1--6", publisher="Institute of Electrical and Electronics Engineers Inc.", address="Casablanca, Morocco", doi="10.1109/SITA60746.2023.10373593", isbn="9798350308211", url="https://doi.org/10.1109/SITA60746.2023.10373593" }