Evidence map›Paper›PMID 33450577›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2021

Optimizing computation of overnight decline in delta power: Evidence for slower rate of decline in delta power in insomnia patients.

Jessica R Lunsford-Avery, Jack D Edinger, Andrew D Krystal

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. Sleep Physiology and Neurocognition Among Adolescents With Attention-Deficit/Hyperactivity Disorder.Journal of the American Academy of Child and Adolescent Psychiatry · 2025
    Observational
  8. Article
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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

3 authors.

Jessica R Lunsford-AveryDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road Suite 300, Durham, NC 27710, USA. Electronic address: Jessica.r.avery@duke.edu.
Jack D EdingerDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road Suite 300, Durham, NC 27710, USA; Department of Medicine, National Jewish Health, 1400 Jackson St, Denver, CO 80206, USA. Electronic address: EdingerJ@NJHealth.org.
Andrew D KrystalDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road Suite 300, Durham, NC 27710, USA; Departments of Psychiatry and Neurology, University of California San Francisco School of Medicine, 400 Parnassus Ave, San Francisco, CA 94143, USA. Electronic address: Andrew.Krystal@ucsf.edu.

Funding

Behavioral Insomnia Therapy for those with Insomnia and DepressionR01MH076856 · NIMH · TORONTO METROPOLITAN UNIVERSITY · PI CARNEY, COLLEEN E · 2008 to 2012
$1.7M
Biomarkers of the Response to CBT for Insomnia in Major DepressionR01HL096492 · NHLBI · DUKE UNIVERSITY · PI KRYSTAL, ANDREW D · 2009 to 2012
$1.6M
Sleep Dysfunction and Neurocognitive Outcomes in Adolescent ADHDK23MH108704 · NIMH · DUKE UNIVERSITY · PI LUNSFORD-AVERY, JESSICA RUTH · 2016 to 2022
$837k
Sleep EEG Spectral Measures of InsomniaR01HL073259 · NHLBI · DUKE UNIVERSITY · PI EDINGER, JACK D · 2003 to 2004
$256k
NHLBI NIH HHS R01 HL073259NHLBI NIH HHS R01 HL096492NIMH NIH HHS K23 MH108704NIMH NIH HHS R01 MH076856
6 · The paper itself

Abstract

objectiveTo determine the best of commonly used methods for computing the rate of decline in non-rapid eye movement (NREM) sleep EEG delta power overnight (Delta Decline) in terms of vulnerability to missing data and to evaluate whether this rate is slower in insomnia patients than healthy controls (HC).

methodsFifty-one insomnia patients and 53 HC underwent 6 nights of polysomnography. Four methods for estimating Delta Decline were compared (exponential and linear best-fit functions using NREM (1) episode mean, (2) peak, and (3) total delta power and (4) delta power for all available NREM epochs). The best method was applied to compare groups on linear and exponential rates of Delta Decline.

resultsBest-fit models using all available NREM epochs were significantly less vulnerable to deviation due to missing data than other methods. Insomnia patients displayed significantly slower linear and exponential Delta Decline than HC.

conclusionsComputing Delta Decline using all available NREM epochs was the best of the methods studied for minimizing the effects of missing data. Insomnia patients display slower Delta Decline, which is not explained by differences in total sleep time or wake after sleep onset. SIGNIFICANCE: This study supports using all available NREM epochs in Delta Decline computation and suggests a slower rate in insomnia.

Indexed as

Delta RhythmAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSleep Initiation and Maintenance DisordersSleep StagesDelta powerEEGHomeostatic sleep driveInsomnia disorderSpectral analysis

Identifiers

PMID33450577
PMCPMC7891187

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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.