Evidence map›Paper›PMID 30182751›Full record

ArticleClinical EEG and neuroscience2019

Resting EEG Measures of Brain Arousal in a Multisite Study of Major Depression.

Christine Ulke, Craig E Tenke, Jürgen Kayser, Christian Sander, Daniel Böttger, Lidia Y X Wong, Jorge E Alvarenga, Maurizio Fava, Patrick J McGrath, Patricia J Deldin and 6 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Clinical EEG and neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01407094 (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 11% 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.

NCT01407094 phase2completednot on this map

Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) for Depression

TypeinterventionalSponsorUniversity of Texas Southwestern Medical CenterRan2011 to 2016Enrolled296ConditionsDepressionArmsSertraline, Placebo, BupropionXL
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. [Identifying Depressive Disorder With Sleep Electroencephalogram Data: A Study Based on Deep Learning].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Fatigue and brain arousal in patients with major depressive disorder.European archives of psychiatry and clinical neuroscience · 2021
    Article
  16. Article
  17. Increased behavioral inhibition trait and negative stress coping in non-rapid eye movement parasomnias.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
  18. Article
  19. Article
  20. 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

16 authors at 6 institutions in 2 countries.

Christine Ulke1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-8277-1671
Craig E Tenke3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
Jürgen Kayser3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
Christian Sander1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.
Daniel Böttger1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.
Lidia Y X Wong4 New York State Psychiatric Institute, New York, NY, USA.
Jorge E Alvarenga4 New York State Psychiatric Institute, New York, NY, USA.
Maurizio Fava5 Depression Clinical and Research Program, MA General Hospital, Boston, Massachusetts, USA.
Patrick J McGrath3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
Patricia J Deldin6 Departments of Psychology and Psychiatry, The University of Michigan, Ann Arbor, MI, USA.
Melvin G Mcinnis7 Department of Psychiatry, The University of Michigan, Ann Arbor, MI, USA.
Madhukar H Trivedi8 Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.
Myrna M Weissman3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
Diego A Pizzagalli9 Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA.
Ulrich Hegerl1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.
Gerard E Bruder3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
New York Psychoanalytic Society and Institute · USEuropean Alliance Against Depression · DEUniversity of Michigan · USHarvard University · USMassachusetts General Hospital · USSouthwestern Medical Center · US

Funding

Establishing Moderators/Biosignatures of Antidepressant Response- Clinical CareU01MH092221 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2010 to 2015
$9.7M
Biosignatures of Treatment Remission in Major DepressionU01MH092250 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCGRATH, PATRICK J, PARSEY, RAMIN V. · 2010 to 2015
$8.9M
MDD Treatment Response and Functional Connectivity of Brain Regions via Reference-free EEG: Further Development and Integration of Biomarkers Using Multisite EMBARC DataR21MH115299 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI KAYSER, RALF JÜRGEN · 2018 to 2019
$446k
NIMH NIH HHS R21 MH115299NIMH NIH HHS U01 MH092221NIMH NIH HHS U01 MH092250
6 · The paper itself

Abstract

Several studies have found upregulated brain arousal during 15-minute EEG recordings at rest in depressed patients. However, studies based on shorter EEG recording intervals are lacking. Here we aimed to compare measures of brain arousal obtained from 2-minute EEGs at rest under eyes-closed condition in depressed patients and healthy controls in a multisite project-Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC). We expected that depressed patients would show stable and elevated brain arousal relative to controls. Eighty-seven depressed patients and 36 healthy controls from four research sites in the United States were included in the analyses. The Vigilance Algorithm Leipzig (VIGALL) was used for the fully automatic classification of EEG-vigilance stages (indicating arousal states) of 1-second EEG segments; VIGALL-derived measures of brain arousal were calculated. We found that depressed patients scored higher on arousal stability ( Z = -2.163, P = .015) and A stages (dominant alpha activity; P = .027) but lower on B1 stages (low-voltage non-alpha activity, P = .008) compared with healthy controls. No significant group differences were observed in Stage B2/3. In summary, we were able to demonstrate stable and elevated brain arousal during brief 2-minute recordings at rest in depressed patients. Results set the stage for examining the value of these measures for predicting clinical response to antidepressants in the entire EMBARC sample and evaluating whether an upregulated brain arousal is particularly characteristic for responders to antidepressants.

Indexed as

ArousalAdolescentAdultAgedAlgorithmsBrainElectroencephalographyFemaleHumansMajor Depressive DisorderMaleMiddle AgedSignal Processing, Computer-AssistedYoung Adultbrain arousal regulationEEG-vigilanceelectroencephalogramEMBARCmajor depressive disorderVIGALL 2.1

Identifiers

PMID30182751
PMCPMC6384132
OpenAlexW2889784571

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.