Evidence map›Paper›PMID 40611472›Full record

Trial reportPsychological medicine2025

A common symptom geometry of mood improvement under sertraline and placebo associated with distinct neural patterns.

Lucie Berkovitch, Kangjoo Lee, Jie Ji, Markus Helmer, Masih Rahmati, Jure Demsar, Aleksij Kraljic, Andraz Matkovic, Zailyn Tamayo, John Murray and 5 more

Erratum issuedAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Lucie BerkovitchDepartment of Psychiatry, Neuroscience, and Psychology, https://ror.org/03v76x132Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-5098-7921
Kangjoo LeeDepartment of Psychiatry, Neuroscience, and Psychology, https://ror.org/03v76x132Yale University School of Medicine, New Haven, CT, USA.
Jie JiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Markus HelmerDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Masih RahmatiDepartment of Psychiatry, Neuroscience, and Psychology, https://ror.org/03v76x132Yale University School of Medicine, New Haven, CT, USA.
Jure DemsarDepartment of Psychology, University of Ljubljana, Ljubljana, Slovenia.
Aleksij KraljicDepartment of Psychology, University of Ljubljana, Ljubljana, Slovenia.
Andraz MatkovicDepartment of Psychology, University of Ljubljana, Ljubljana, Slovenia.
Zailyn TamayoDepartment of Psychiatry, Neuroscience, and Psychology, https://ror.org/03v76x132Yale University School of Medicine, New Haven, CT, USA.
John MurrayDepartment of Psychological and Brain Science, https://ror.org/049s0rh22Dartmouth College, Hanover, NH, USA.
Grega RepovsDepartment of Psychology, University of Ljubljana, Ljubljana, Slovenia.
John KrystalDepartment of Psychiatry, Neuroscience, and Psychology, https://ror.org/03v76x132Yale University School of Medicine, New Haven, CT, USA.
William MartinDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Clara FonteneauDepartment of Psychiatry, Neuroscience, and Psychology, https://ror.org/03v76x132Yale University School of Medicine, New Haven, CT, USA.
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.

Funding

ProNET: Psychosis-Risk Outcomes NetworkU01MH124639 · NIMH · YALE UNIVERSITY · PI CARRIE E BEARDEN, JOHN M KANE · 2020 to 2026
$81.2M
A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for SchizophreniaU01MH121766 · NIMH · YALE UNIVERSITY · PI KRYSTAL, JOHN H. · 2019 to 2022
$11.8M
Brain Network Changes Accompanying and Predicting Responses to Pharmacotherapy in OCDR01MH116038 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN, PITTENGER, CHRISTOPHER JOHN · 2019 to 2023
$3.7M
NIMH NIH HHS F-115371NIMH NIH HHS F-115372NIMH NIH HHS F-115373NIMH NIH HHS R01 MH116038NIMH NIH HHS U01 MH121766NIMH NIH HHS U01 MH124639
6 · The paper itself

Abstract

backgroundUnderstanding the mechanisms of major depressive disorder (MDD) improvement is a key challenge to determining effective personalized treatments.

methodsTo identify a data-driven pattern of clinical improvement in MDD and to quantify neural-to-symptom relationships according to antidepressant treatment, we performed a secondary analysis of the publicly available dataset EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care). In EMBARC, participants with MDD were treated either by sertraline or placebo for 8 weeks (Stage 1), and then switched to bupropion according to clinical response (Stage 2). We computed a univariate measure of clinical improvement through a principal component (PC) analysis on the variations of individual items of four clinical scales measuring depression, anxiety, suicidal ideas, and manic-like symptoms. We then investigated how initial clinical and neural factors predicted this measure during Stage 1 by running a linear model for each brain parcel's resting-state global brain connectivity (GBC) with individual improvement scores during Stage 1.

resultsThe first PC (PC1) was similar across treatment groups at stages 1 and 2, suggesting a shared pattern of symptom improvement. PC1 patients' scores significantly differed according to treatment, whereas no difference in response was evidenced between groups with the Clinical Global Impressions Scale. Baseline GBC correlated with Stage 1 PC1 scores in the sertraline but not in the placebo group.Using data-driven reduction of symptom scales, we identified a common profile of symptom improvement with distinct intensity between sertraline and placebo.

conclusionsMapping from data-driven symptom improvement onto neural circuits revealed treatment-responsive neural profiles that may aid in optimal patient selection for future trials.

Indexed as

AffectAntidepressive AgentsBrainMajor Depressive DisorderSertralineAdultBupropionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSecondary Data AnalysisAntidepressive AgentsBupropionSertralinedata reductionfunctional neuroimagingmood spectrumstatistical learningsymptoms mapping personalized patient selection

Identifiers

PMID40611472
PMCPMC12270277

What OpenQuestion holds

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Registered trials

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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.