Evidence map›Paper›PMID 40500269›Full record

Trial reportTranslational psychiatry2025

A large-scale multimodal investigation of the interplay between the serotonergic system and emotion processing.

Manfred Klöbl, Matej Murgaš, Murray Bruce Reed, Leo Robert Silberbauer, Annette M Hartmann, Godber Mathis Godbersen, Gregor Gryglewski, Lukas Nics, Andreas Hahn, Dan Rujescu and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Manfred KlöblDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0003-2107-8803
Matej MurgašDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-7643-2182
Murray Bruce ReedDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Leo Robert SilberbauerDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-8521-1012
Annette M HartmannDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Godber Mathis GodbersenDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-9739-0724
Gregor GryglewskiDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-7344-8071
Lukas NicsDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Andreas HahnDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-9727-7580
Dan RujescuDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-1432-313X
Marcus HackerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-4222-4083
Rupert LanzenbergerDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria. rupert.lanzenberger@meduniwien.ac.at.ORCID http://orcid.org/0000-0003-4641-9539

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/DOC33Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/KLI1006Österreichischen Akademie der Wissenschaften (Austrian Academy of Sciences) DOCVienna Science and Technology Fund (Wiener Wissenschafts-, Forschungs- und Technologiefonds) https://doi.org/10.47379/CS18039
6 · The paper itself

Abstract

Considering the complexity of serotonergic influence on emotions, we conducted a comprehensive investigation of the interplay between emotion processing and the serotonergic system using simultaneous functional and molecular neuroimaging during pharmacological challenge while disentangling the effects of serotonin transporter (SERT) binding, genotype, and diagnosis of major depressive disorder (MDD). Herein, 153 subjects (44 with MDD) performed a facial emotion processing task during functional magnetic resonance imaging (fMRI) before and after an acute intravenous application of 8 mg citalopram or placebo. Patients with MDD were assessed again after at least three months of antidepressant treatment. Citalopram administration resulted in a reduced fMRI activation in regions involved in fear processing, including the anterior cingulate cortex (ACC), when viewing fearful faces contrasted against happy or neutral faces. ACC activation correlated negatively with striatal/thalamic SERT availability across drug conditions as measured by [11 C]DASB positron emission tomography. Across groups, citalopram-induced changes in ACC activation correlated with emotional attribution, indicating stronger reductions for subjects with higher self- versus other- attribution. Moreover, striatal SERT availability mediated the influence of the number of 5-HTTLPR/rs25531 L

Indexed as

CitalopramEmotionsGyrus CinguliMajor Depressive DisorderSelective Serotonin Reuptake InhibitorsSerotoninSerotonin Plasma Membrane Transport ProteinsAdultFacial ExpressionFacial RecognitionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyCitalopramSelective Serotonin Reuptake InhibitorsSerotoninSerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, human

Identifiers

PMID40500269
PMCPMC12159172

What OpenQuestion holds

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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.