Evidence map›Paper›PMID 25640931›Full record

ReviewThe American journal of psychiatry2015

Identifying predictors, moderators, and mediators of antidepressant response in major depressive disorder: neuroimaging approaches.

Mary L Phillips, Henry W Chase, Yvette I Sheline, Amit Etkin, Jorge R C Almeida, Thilo Deckersbach, Madhukar H Trivedi

Abstract readReview
In one paragraph

Review in The American journal of psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 1 pooled it
17.2field-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

119 citing papers in PubMed, 1 synthesis or guideline pooled it, 267 citations in OpenAlex.

  1. Pooled it
  2. Towards causal inference-based antidepressant selection with brain and blood biomarkers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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59 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

7 authors at 1 institution in 1 country.

Mary L PhillipsFrom the Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh; the Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia; the Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford; the Department of Psychiatry, Massachusetts General Hospital, Boston; and the Department of Psychiatry, UT Southwestern Medical Center, Dallas.
Henry W Chase
Yvette I Sheline
Amit Etkin
Jorge R C Almeida
Thilo Deckersbach
Madhukar H Trivedi
University of Pittsburgh · 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
Promoting Research Training During Psychiatry ResidencyR25MH101076 · NIMH · BROWN UNIVERSITY · PI AUDREY TYRKA · 2013 to 2026
$2.8M
NIMH NIH HHS R25 MH101076NIMH NIH HHS U01 MH092221NIMH NIH HHS U01MH092221NIMH NIH HHS U01 MH092250NIMH NIH HHS U01MH092250
6 · The paper itself

Abstract

objectiveDespite significant advances in neuroscience and treatment development, no widely accepted biomarkers are available to inform diagnostics or identify preferred treatments for individuals with major depressive disorder.

methodIn this critical review, the authors examine the extent to which multimodal neuroimaging techniques can identify biomarkers reflecting key pathophysiologic processes in depression and whether such biomarkers may act as predictors, moderators, and mediators of treatment response that might facilitate development of personalized treatments based on a better understanding of these processes.

resultsThe authors first highlight the most consistent findings from neuroimaging studies using different techniques in depression, including structural and functional abnormalities in two parallel neural circuits: serotonergically modulated implicit emotion regulation circuitry, centered on the amygdala and different regions in the medial prefrontal cortex; and dopaminergically modulated reward neural circuitry, centered on the ventral striatum and medial prefrontal cortex. They then describe key findings from the relatively small number of studies indicating that specific measures of regional function and, to a lesser extent, structure in these neural circuits predict treatment response in depression.

conclusionsLimitations of existing studies include small sample sizes, use of only one neuroimaging modality, and a focus on identifying predictors rather than moderators and mediators of differential treatment response. By addressing these limitations and, most importantly, capitalizing on the benefits of multimodal neuroimaging, future studies can yield moderators and mediators of treatment response in depression to facilitate significant improvements in shorter- and longer-term clinical and functional outcomes.

Indexed as

Antidepressive AgentsBrainMajor Depressive DisorderNeuroimagingBiomarkersHumansNeurotransmitter AgentsPrognosisTreatment OutcomeAntidepressive AgentsBiomarkersNeurotransmitter Agents

Identifiers

PMID25640931
PMCPMC4464814
OpenAlexW2058494291

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.