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Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia
STUDY OBJECTIVES: To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification. METHODS: We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls’ v-PSGs. Patients diagnosed with RBD had:...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995778/ https://www.ncbi.nlm.nih.gov/pubmed/34984464 http://dx.doi.org/10.1093/sleep/zsab299 |
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author | Cesari, Matteo Heidbreder, Anna Gaig, Carles Bergmann, Melanie Brandauer, Elisabeth Iranzo, Alex Holzknecht, Evi Santamaria, Joan Högl, Birgit Stefani, Ambra |
author_facet | Cesari, Matteo Heidbreder, Anna Gaig, Carles Bergmann, Melanie Brandauer, Elisabeth Iranzo, Alex Holzknecht, Evi Santamaria, Joan Högl, Birgit Stefani, Ambra |
author_sort | Cesari, Matteo |
collection | PubMed |
description | STUDY OBJECTIVES: To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification. METHODS: We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls’ v-PSGs. Patients diagnosed with RBD had: i) RWA, quantified with a reference method, i.e. automatic and artifact-corrected 3-s Sleep Innsbruck Barcelona (SINBAR) index in REM sleep periods (RSPs, i.e. manually selected portions of REM sleep); and ii) v-PSG-documented RBD behaviors. We quantified RWA with other (semi)-automated methods requiring less human intervention than the reference one: the indices proposed by the SINBAR group (the 3-s and 30-s phasic flexor digitorum superficialis (FDS), phasic/”any”/tonic mentalis), and the REM atonia, short and long muscle activity indices (in mentalis/submentalis/FDS muscles). They were calculated in whole REM sleep (i.e. REM sleep scored following international guidelines), in RSPs, with and without manual artifact correction. Area under curves (AUC) discriminating iRBD from controls were computed. Using published cut-offs, the indices’ sensitivity and specificity for iRBD identification were calculated. Apnea-hypopnea index in REM sleep (AHI(REM)) was considered in the analyses. RESULTS: RWA indices from FDS muscles alone had the highest AUCs and all of them had 100% sensitivity. Without manual RSP selection and artifact correction, the “30-s phasic FDS” and the “FDS long muscle activity” had the highest specificity (85%) with AHI(REM) < 15/h. RWA indices were less reliable when AHI(REM)≥15/h. CONCLUSIONS: If AHI(REM)<15/h, FDS muscular activity in whole REM sleep and without artifact correction is fast and reliable to rule out RWA. |
format | Online Article Text |
id | pubmed-9995778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99957782023-03-10 Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia Cesari, Matteo Heidbreder, Anna Gaig, Carles Bergmann, Melanie Brandauer, Elisabeth Iranzo, Alex Holzknecht, Evi Santamaria, Joan Högl, Birgit Stefani, Ambra Sleep Neurological Disorders STUDY OBJECTIVES: To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification. METHODS: We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls’ v-PSGs. Patients diagnosed with RBD had: i) RWA, quantified with a reference method, i.e. automatic and artifact-corrected 3-s Sleep Innsbruck Barcelona (SINBAR) index in REM sleep periods (RSPs, i.e. manually selected portions of REM sleep); and ii) v-PSG-documented RBD behaviors. We quantified RWA with other (semi)-automated methods requiring less human intervention than the reference one: the indices proposed by the SINBAR group (the 3-s and 30-s phasic flexor digitorum superficialis (FDS), phasic/”any”/tonic mentalis), and the REM atonia, short and long muscle activity indices (in mentalis/submentalis/FDS muscles). They were calculated in whole REM sleep (i.e. REM sleep scored following international guidelines), in RSPs, with and without manual artifact correction. Area under curves (AUC) discriminating iRBD from controls were computed. Using published cut-offs, the indices’ sensitivity and specificity for iRBD identification were calculated. Apnea-hypopnea index in REM sleep (AHI(REM)) was considered in the analyses. RESULTS: RWA indices from FDS muscles alone had the highest AUCs and all of them had 100% sensitivity. Without manual RSP selection and artifact correction, the “30-s phasic FDS” and the “FDS long muscle activity” had the highest specificity (85%) with AHI(REM) < 15/h. RWA indices were less reliable when AHI(REM)≥15/h. CONCLUSIONS: If AHI(REM)<15/h, FDS muscular activity in whole REM sleep and without artifact correction is fast and reliable to rule out RWA. Oxford University Press 2022-01-04 /pmc/articles/PMC9995778/ /pubmed/34984464 http://dx.doi.org/10.1093/sleep/zsab299 Text en © Sleep Research Society 2022. Published by Oxford University Press on behalf of the Sleep Research Society. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Neurological Disorders Cesari, Matteo Heidbreder, Anna Gaig, Carles Bergmann, Melanie Brandauer, Elisabeth Iranzo, Alex Holzknecht, Evi Santamaria, Joan Högl, Birgit Stefani, Ambra Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia |
title | Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia |
title_full | Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia |
title_fullStr | Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia |
title_full_unstemmed | Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia |
title_short | Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia |
title_sort | automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia |
topic | Neurological Disorders |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995778/ https://www.ncbi.nlm.nih.gov/pubmed/34984464 http://dx.doi.org/10.1093/sleep/zsab299 |
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