Evidence map›Paper›PMID 26611950›Full record

ArticleSleep medicine2015

The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients.

Julie Anja Engelhard Christensen, Emil Gammelmark Schreiner Munk, Paul E Peppard, Terry Young, Emmanuel Mignot, Helge Bjarrup Dissing Sorensen, Poul Jennum

Open access · greenAbstract read
In one paragraph

Article in Sleep medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Probability estimation of narcolepsy type 1 in DTA mice using unlabeled EEG and EMG data.Sleep advances : a journal of the Sleep Research Society · 2025
    Article
  3. A Review on Automated Sleep Study.Annals of biomedical engineering · 2024
    Review
  4. Article
  5. Article
  6. Disrupted nighttime sleep and sleep instability in narcolepsy.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Review
  7. Increased EEG Theta Spectral Power in Sleep in Myotonic Dystrophy Type 1.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018
    Article
  8. Role ofFrontiers in molecular neuroscience · 2017
    Article
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

7 authors at 5 institutions in 2 countries.

Julie Anja Engelhard ChristensenDepartment of Electrical Engineering, Technical University of Denmark, KongensLyngby, Denmark; Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Glostrup Hospital, Glostrup, Denmark; Stanford Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Science, Stanford University, Palo Alto, CA, USA.
Emil Gammelmark Schreiner MunkDanish Center for Sleep Medicine, Department of Clinical Neurophysiology, Glostrup Hospital, Glostrup, Denmark; Stanford Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Science, Stanford University, Palo Alto, CA, USA.
Paul E PeppardUniversity of Wisconsin, School of Medicine and Public Health, Health Sciences Learning Center, Madison, WI, USA.
Terry YoungUniversity of Wisconsin, School of Medicine and Public Health, Health Sciences Learning Center, Madison, WI, USA.
Emmanuel MignotStanford Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Science, Stanford University, Palo Alto, CA, USA. Electronic address: mignot@stanford.edu.
Helge Bjarrup Dissing SorensenDepartment of Electrical Engineering, Technical University of Denmark, KongensLyngby, Denmark.
Poul JennumDanish Center for Sleep Medicine, Department of Clinical Neurophysiology, Glostrup Hospital, Glostrup, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark.
Glostrup Hospital · DKUniversity of Wisconsin–Madison · USStanford Medicine · USTechnical University of Denmark · DKUniversity of Copenhagen · DK

Funding

INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
EPIDEMIOLOGY OF SLEEP-DISORDERED BREATHING IN ADULTSR01HL062252 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI PEPPARD, PAUL E · 1999 to 2013
$14.1M
NCRR NIH HHS 1UL1RR025011NCRR NIH HHS UL1 RR025011NHLBI NIH HHS R01 HL062252NHLBI NIH HHS R01HL62252
6 · The paper itself

Abstract

objectiveManifestations of narcolepsy with cataplexy (NC) include disturbed nocturnal sleep - hereunder sleep-wake instability, decreased latency to rapid eye movement (REM) sleep, and dissociated REM sleep events. In this study, we characterized the electroencephalography (EEG) of various sleep stages in NC versus controls.

methodsEEG power spectral density (PSD) was computed in 136 NC patients and 510 sex- and age-matched controls. Features reflecting differences in PSD curves were computed. A Lasso-regularized regression model was used to find an optimal feature subset, which was validated on 19 NC patients and 708 non-NC patients from a sleep clinic. Reproducible features were analyzed using receiver operating characteristic (ROC) curves.

resultsThirteen features were selected based on the training dataset. Three were applicable in the validation dataset, indicating that NC patients show (1) increased alpha power in REM sleep, (2) decreased sigma power in wakefulness, and (3) decreased delta power in stage N1 versus wakefulness. Sensitivity of these features ranged from 4% to 10% with specificity around 98%, and it did not vary substantially with and without treatment.

conclusionsEEG spectral analysis of REM sleep, wake, and differences between N1 and wakefulness contain diagnostic features of NC. These traits may represent sleepiness and dissociated REM sleep in patients with NC. However, the features are not sufficient for differentiating NC from controls, and further analysis is needed to completely evaluate the diagnostic potential of these features.

Indexed as

AdultCataplexyElectroencephalographyFemaleHumansMaleMiddle AgedPolysomnographySleep, REMWakefulnessautomatic classificationelectroencephalography (EEG)machine learningNarcolepsysleep dissociation

Identifiers

PMID26611950
PMCPMC8008706
OpenAlexW2116016394

What OpenQuestion holds

Textmetadata
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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.