Evidence map›Paper›PMID 23389382›Full record

Trial reportJAMA psychiatry2013

Antidepressants normalize the default mode network in patients with dysthymia.

Jonathan Posner, David J Hellerstein, Inbal Gat, Anna Mechling, Kristin Klahr, Zhishun Wang, Patrick J McGrath, Jonathan W Stewart, Bradley S Peterson

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 6 pooled it
11.8field-weighted citation impact, top 1% 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

132 citing papers in PubMed, 6 syntheses or guidelines pooled it, 270 citations in OpenAlex.

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  4. Premorbid de novo artistic creativity in frontotemporal dementia (FTD) syndromes.Journal of neural transmission (Vienna, Austria : 1996) · 2021
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  14. MDMA-induced changes in within-network connectivity contradict the specificity of these alterations for the effects of serotonergic hallucinogens.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
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72 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

9 authors at 1 institution in 1 country.

Jonathan PosnerColumbia University College of Physicians and Surgeons, and New York State Psychiatric Institute, New York, New York 10032, USA. posnerj@nyspi.columbia.edu
David J Hellerstein
Inbal Gat
Anna Mechling
Kristin Klahr
Zhishun Wang
Patrick J McGrath
Jonathan W Stewart
Bradley S Peterson
New York State Psychiatric Institute

Funding

Inhibitory Control and Emotional Processing in Pediatric ADHDK23MH091249 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI POSNER, JONATHAN E · 2010 to 2014
$919k
NIMH NIH HHS K23 MH091249NIMH NIH HHS K23-MH091249PHS HHS K02-74677
6 · The paper itself

Abstract

importanceThe default mode network (DMN) is a collection of brain regions that reliably deactivate during goal-directed behaviors and is more active during a baseline, or so-called resting, condition. Coherence of neural activity, or functional connectivity, within the brain's DMN is increased in major depressive disorder relative to healthy control (HC) subjects; however, whether similar abnormalities are present in persons with dysthymic disorder (DD) is unknown. Moreover, the effect of antidepressant medications on DMN connectivity in patients with DD is also unknown.

objectiveTo use resting-state functional-connectivity magnetic resonance imaging (MRI) to study (1) the functional connectivity of the DMN in subjects with DD vs HC participants and (2) the effects of antidepressant therapy on DMN connectivity.

designAfter collecting baseline MRI scans from subjects with DD and HC participants, we enrolled the participants with DD into a 10-week prospective, double-blind, placebo-controlled trial of duloxetine and collected MRI scans again at the conclusion of the study. Enrollment occurred between 2007 and 2011.

settingUniversity research institute.

participantsVolunteer sample of 41 subjects with DD and 25 HC participants aged 18 to 53 years. Control subjects were group matched to patients with DD by age and sex.

main outcome measuresWe used resting-state functional-connectivity MRI to measure the functional connectivity of the brain's DMN in persons with DD compared with HC subjects, and we examined the effects of treatment with duloxetine vs placebo on DMN connectivity.

resultsOf the 41 subjects with DD, 32 completed the clinical trial and MRI scans, along with the 25 HC participants. At baseline, we found that the coherence of neural activity within the brain's DMN was greater in persons with DD compared with HC subjects. Following a 10-week clinical trial, we found that treatment with duloxetine, but not placebo, normalized DMN connectivity. CONCLUSIONS AND RELEVANCE: The baseline imaging findings are consistent with those found in patients with major depressive disorder and suggest that increased connectivity within the DMN may be important in the pathophysiology of both acute and chronic manifestations of depressive illness. The normalization of DMN connectivity following antidepressant treatment suggests an important causal pathway through which antidepressants may reduce depression.

Indexed as

AdultAntidepressive AgentsBrainCase-Control StudiesDouble-Blind MethodDuloxetine HydrochlorideDysthymic DisorderFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleNerve NetThiophenesAntidepressive AgentsDuloxetine HydrochlorideThiophenes

Identifiers

PMID23389382
PMCPMC3935731
OpenAlexW2095139544

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.