Evidence map›Paper›PMID 32864560›Full record

ArticleSleep and vigilance2019

Utility of the Compensatory Tracking Task for Objective Differentiation of Hypersomnolence in Depression: A High-Density EEG Investigation.

Emily C Forscher, Michael L Prairie, Jesse D Cook, Sydney L Notermann, David T Plante

Open access · greenAbstract read
In one paragraph

Article in Sleep and vigilance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Emily C ForscherUniversity of Wisconsin-Madison School of Medicine and Public Health, Department of Psychiatry, Madison, WI.
Michael L PrairieUniversity of Wisconsin-Madison School of Medicine and Public Health, Department of Psychiatry, Madison, WI.
Jesse D CookUniversity of Wisconsin-Madison School of Medicine and Public Health, Department of Psychiatry, Madison, WI.
Sydney L NotermannUniversity of Wisconsin-Madison School of Medicine and Public Health, Department of Psychiatry, Madison, WI.
David T PlanteUniversity of Wisconsin-Madison School of Medicine and Public Health, Department of Psychiatry, Madison, WI.
University of Wisconsin–Madison · US

Funding

Hypersomnia in Major Depressive Disorder: a high-density EEG investigationK23MH099234 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI PLANTE, DAVID T · 2013 to 2017
$972k
NIMH NIH HHS K23 MH099234
6 · The paper itself

Abstract

Hypersomnolence is a common and debilitating symptom in mood disorders. However, objective differentiation of excessive daytime sleepiness (EDS) from non-EDS in depression has not yet been achieved. This study compared performance on the Compensatory Tracking Task (CTT) and concurrently-recorded high-density (hd)EEG theta power in 22 patients with major depressive disorder (MDD) and co-occurring EDS against 22 age- and sex-matched patients with MDD but no EDS, as well as 22 age- and sex-matched healthy controls. Though depressed hypersomnolent participants endorsed feeling sleepier than depressed non-hypersomnolent and healthy control participants prior to starting the CTT, no group differences in CTT performance were observed. Average hdEEG theta power was higher during periods of high error on the CTT compared to periods of low error, but did not differ between the groups. Though the CTT still holds promise as an objective neurobehavioral measure, these results do not indicate a capability to differentiate EDS from non-EDS in mood disorders.

Indexed as

depressionelectrophysiologyhypersomnolenceperformance

Identifiers

PMID32864560
PMCPMC7453740
OpenAlexW2945863262

What OpenQuestion holds

Textmetadata
LicenceTDM
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.