Evidence map›Paper›PMID 33327626›Full record

ArticleDiagnostics (Basel, Switzerland)2020

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

Marek Piorecky, Vlastimil Koudelka, Eva Miletinova, Jitka Buskova, Jan Strobl, Jiri Horacek, Martin Brunovsky, Stanislav Jiricek, Jaroslav Hlinka, David Tomecek and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Marek PioreckyNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0001-8157-6447
Vlastimil KoudelkaNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0002-7553-7529
Eva MiletinovaNational Institute of Mental Health, 25067 Klecany, Czech Republic.
Jitka BuskovaNational Institute of Mental Health, 25067 Klecany, Czech Republic.
Jan StroblDepartment of Biomedical Technology, Faculty of Biomedical Engineering, CTU in Prague, 27201 Kladno, Czech Republic.
Jiri HoracekNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0003-0114-7306
Martin BrunovskyNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0002-2483-0848
Stanislav JiricekNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0002-7228-1425
Jaroslav HlinkaNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0003-1402-1470
David TomecekNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0001-7038-0529
Vaclava PioreckaNational Institute of Mental Health, 25067 Klecany, Czech Republic.ORCID 0000-0002-7661-0660
Charles University · CZCzech Academy of Sciences, Institute of Computer Science · CZNational Institute of Mental Health · CZCzech Technical University in Prague · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 (n=10). 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.

Indexed as

disorders of arousalEEGfMRINREM parasomniasimultaneous measurement

Identifiers

PMID33327626
PMCPMC7765133
OpenAlexW3111771695

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.