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Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations

Functional magnetic resonance imaging (fMRI) techniques and electroencephalography (EEG) were used to investigate sleep with a focus on impaired arousal mechanisms in disorders of arousal (DOAs). With a prevalence of 2–4% in adults, DOAs are significant disorders that are currently gaining attention...

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Autores principales: Piorecky, Marek, Koudelka, Vlastimil, Miletinova, Eva, Buskova, Jitka, Strobl, Jan, Horacek, Jiri, Brunovsky, Martin, Jiricek, Stanislav, Hlinka, Jaroslav, Tomecek, David, Piorecka, Vaclava
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765133/
https://www.ncbi.nlm.nih.gov/pubmed/33327626
http://dx.doi.org/10.3390/diagnostics10121087
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author Piorecky, Marek
Koudelka, Vlastimil
Miletinova, Eva
Buskova, Jitka
Strobl, Jan
Horacek, Jiri
Brunovsky, Martin
Jiricek, Stanislav
Hlinka, Jaroslav
Tomecek, David
Piorecka, Vaclava
author_facet Piorecky, Marek
Koudelka, Vlastimil
Miletinova, Eva
Buskova, Jitka
Strobl, Jan
Horacek, Jiri
Brunovsky, Martin
Jiricek, Stanislav
Hlinka, Jaroslav
Tomecek, David
Piorecka, Vaclava
author_sort Piorecky, Marek
collection PubMed
description Functional magnetic resonance imaging (fMRI) techniques and electroencephalography (EEG) were used to investigate sleep with a focus on impaired arousal mechanisms in disorders of arousal (DOAs). With a prevalence of 2–4% in adults, DOAs are significant disorders that are currently gaining attention among physicians. The paper describes a simultaneous EEG and fMRI experiment conducted in adult individuals with DOAs ([Formula: see text]). Both EEG and fMRI data were validated by reproducing well established EEG and fMRI associations. A method for identification of both brain functional areas and EEG rhythms associated with DOAs in shallow sleep was designed. Significant differences between patients and controls were found in delta, theta, and alpha bands during awakening epochs. General linear models of the blood-oxygen-level-dependent signal have shown the secondary visual cortex and dorsal posterior cingulate cortex to be associated with alpha spectral power fluctuations, and the precuneus with delta spectral power fluctuations, specifically in patients and not in controls. Future EEG–fMRI sleep studies should also consider subject comfort as an important aspect in the experimental design.
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spelling pubmed-77651332020-12-27 Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations Piorecky, Marek Koudelka, Vlastimil Miletinova, Eva Buskova, Jitka Strobl, Jan Horacek, Jiri Brunovsky, Martin Jiricek, Stanislav Hlinka, Jaroslav Tomecek, David Piorecka, Vaclava Diagnostics (Basel) Article Functional magnetic resonance imaging (fMRI) techniques and electroencephalography (EEG) were used to investigate sleep with a focus on impaired arousal mechanisms in disorders of arousal (DOAs). With a prevalence of 2–4% in adults, DOAs are significant disorders that are currently gaining attention among physicians. The paper describes a simultaneous EEG and fMRI experiment conducted in adult individuals with DOAs ([Formula: see text]). Both EEG and fMRI data were validated by reproducing well established EEG and fMRI associations. A method for identification of both brain functional areas and EEG rhythms associated with DOAs in shallow sleep was designed. Significant differences between patients and controls were found in delta, theta, and alpha bands during awakening epochs. General linear models of the blood-oxygen-level-dependent signal have shown the secondary visual cortex and dorsal posterior cingulate cortex to be associated with alpha spectral power fluctuations, and the precuneus with delta spectral power fluctuations, specifically in patients and not in controls. Future EEG–fMRI sleep studies should also consider subject comfort as an important aspect in the experimental design. MDPI 2020-12-14 /pmc/articles/PMC7765133/ /pubmed/33327626 http://dx.doi.org/10.3390/diagnostics10121087 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Piorecky, Marek
Koudelka, Vlastimil
Miletinova, Eva
Buskova, Jitka
Strobl, Jan
Horacek, Jiri
Brunovsky, Martin
Jiricek, Stanislav
Hlinka, Jaroslav
Tomecek, David
Piorecka, Vaclava
Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
title Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
title_full Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
title_fullStr Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
title_full_unstemmed Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
title_short Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
title_sort simultaneous fmri-eeg-based characterisation of nrem parasomnia disease: methods and limitations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765133/
https://www.ncbi.nlm.nih.gov/pubmed/33327626
http://dx.doi.org/10.3390/diagnostics10121087
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