Evidence map›Paper›PMID 28361870›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2017

Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder.

Michelle N Servaas, Harriëtte Riese, Remco J Renken, Marieke Wichers, Jojanneke A Bastiaansen, Caroline A Figueroa, Hanneke Geugies, Roel Jt Mocking, Linda Geerligs, Jan-Bernard C Marsman and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
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  12. Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2019
    Review
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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

14 authors at 5 institutions in 2 countries.

Michelle N ServaasDepartment of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Harriëtte RieseDepartment of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands.
Remco J RenkenDepartment of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands.
Marieke WichersDepartment of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands.
Jojanneke A BastiaansenDepartment of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands.
Caroline A FigueroaDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Hanneke GeugiesDepartment of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Roel Jt MockingDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Linda GeerligsDonders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.
Jan-Bernard C MarsmanDepartment of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands.
André AlemanDepartment of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands.
Aart H ScheneDonders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.
Robert A SchoeversDepartment of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Henricus G RuhéDepartment of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLAcademic Medical Center · NLUniversity of Groningen · NLRadboud University Medical Center · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remitted patients with major depressive disorder (rMDD) often report more fluctuations in mood as residual symptomatology. It is unclear how this affective instability is associated with information processing related to the default mode (DMS), salience/reward (SRS), and frontoparietal (FPS) subnetworks in rMDD patients at high risk of recurrence (rrMDD). Sixty-two unipolar, drug-free rrMDD patients (⩾2 MDD episodes) and 41 healthy controls (HCs) were recruited. We used experience sampling methodology to monitor mood/cognitions (10 times a day for 6 days) and calculated affective instability using the mean adjusted absolute successive difference. Subsequently, we collected resting-state functional magnetic resonance imaging data and performed graph theory to obtain network metrics of integration within (local efficiency) the DMS, SRS, and FPS, and between (participation coefficient) these subnetworks and others. In rrMDD patients compared with HCs, we found that affective instability was increased in most negative mood/cognition variables and that the DMS had less connections with other subnetworks. Furthermore, we found that rrMDD patients, who showed more instability in feeling down and irritated, had less connections between the SRS and other subnetworks and higher local efficiency coefficients in the FPS, respectively. In conclusion, rrMDD patients, compared with HCs, are less stable in their negative mood and these dynamics are related to differences in information processing within- and between-specific functional subnetworks. These results are a first step to gain a better understanding of how mood fluctuations in real life are represented in the brain and provide insights into the vulnerability profile of MDD.

Indexed as

AffectConnectomeBrainFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNeural PathwaysPsychiatric Status Rating ScalesRecurrenceRest

Identifiers

PMID28361870
PMCPMC5686496
OpenAlexW2600089334

What OpenQuestion holds

Textmetadata
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.