Evidence map›Paper›PMID 27921216›Full record

Trial reportCognitive, affective & behavioral neuroscience2017

Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy controls.

Katie L Burkhouse, Rachel H Jacobs, Amy T Peters, Olu Ajilore, Edward R Watkins, Scott A Langenecker

Registry-linked trialOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cognitive, affective & behavioral neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03859297 (Developing Rumination-focused Treatment to Reduce Risk for Depression Recurrence), which is not on this map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 4% 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.

NCT03859297 narecruitingnot on this mapstarted 2019, after this paper: background citation

Developing Rumination-focused Treatment to Reduce Risk for Depression Recurrence (RDR) in Adolescence

TypeinterventionalSponsorOhio State UniversityRan2019 to 2029Enrolled183ConditionsMajor Depressive Disorder, Mood DisordersArmsRumination-Focused CBT, Relaxation-based Therapy
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 2 countries.

Katie L BurkhouseDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
Rachel H JacobsDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA. rjacobs@psych.uic.edu.
Amy T PetersDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
Olu AjiloreDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
Edward R WatkinsUniversity of Exeter, Exeter, UK.
Scott A LangeneckerDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
University of Illinois Chicago · USUniversity of Exeter · GB

Funding

Center for Clinical and Translational ScienceUL1TR000050 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AZAR, DIMITRI T, MERMELSTEIN, ROBIN J. · 2012 to 2014
$9.8M
Training in the Neuroscience of Mental HealthT32MH067631 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RASENICK, MARK M. · 2004 to 2024
$4.8M
Dimensional RDoC Modeling across the Range of Negative Mood DysfunctionR01MH101487 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LANGENECKER, SCOTT A · 2013 to 2016
$2.5M
Neurobiological Intermediate Phenotypes of Major Depressive DisorderR01MH091811 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGENECKER, SCOTT A · 2010 to 2014
$2.3M
NCATS NIH HHS UL1 TR000050NIMH NIH HHS R01 MH091811NIMH NIH HHS R01 MH101487NIMH NIH HHS T32 MH067631
6 · The paper itself

Abstract

The aim of the present study was to use fMRI to examine the neural correlates of engaging in rumination among a sample of remitted depressed adolescents, a population at high risk for future depressive relapse. A rumination induction task was used to assess differences in the patterns of neural activation during rumination versus a distraction condition among 26 adolescents in remission from major depressive disorder (rMDD) and in 15 healthy control adolescents. Self-report depression and rumination, as well as clinician-rated depression, were also assessed among all participants. All of the participants recruited regions in the default mode network (DMN), including the posterior cingulate cortex, medial prefrontal cortex, inferior parietal lobe, and medial temporal gyrus, during rumination. Increased activation in these regions during rumination was correlated with increased self-report rumination and symptoms of depression across all participants. Adolescents with rMDD also exhibited greater activation in regions involved in visual, somatosensory, and emotion processing than did healthy peers. The present findings suggest that during ruminative thought, adolescents with rMDD are characterized by increased recruitment of regions within the DMN and in areas involved in visual, somatosensory, and emotion processing.

Indexed as

AdolescentBrainBrain MappingCognitive Behavioral TherapyFactor Analysis, StatisticalFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleNeural PathwaysNeuropsychological TestsPilot ProjectsPsychiatric Status Rating ScalesRestSelf ReportAdolescenceDefault mode networkDepressionNeuroimagingRumination

Identifiers

PMID27921216
PMCPMC5366093
OpenAlexW2559877660

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.