Evidence map›Paper›PMID 29409920›Full record

Trial reportProgress in neuro-psychopharmacology & biological psychiatry2018

The effects of serotonin modulation on medial prefrontal connectivity strength and stability: A pharmacological fMRI study with citalopram.

D Arnone, T Wise, C Walker, P J Cowen, O Howes, S Selvaraj

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Progress in neuro-psychopharmacology & biological psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Pooled it
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  12. Alterations of Power Spectral Density in Salience Network during Thought-action Fusion Induction Paradigm in Obsessive-compulsive Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
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  16. Altered Dynamic Functional Connectivity inFrontiers in aging neuroscience · 2021
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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

6 authors.

D ArnoneCentre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, UK. Electronic address: danilo.arnone@kcl.ac.uk.
T WiseCentre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK; Wellcome Trust Centre for Neuroimaging, University College London, London, UK.
C WalkerUT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
P J CowenNeurosciences Building, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
O HowesMedical Research Council Clinical Sciences Centre (CSC), Institute of Clinical Sciences (ICS), Imperial College London, UK; Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
S SelvarajUT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA. Electronic address: Sudhakar.Selvaraj@uth.tmc.edu.

Funding

Academy of Medical Sciences SGL006\1020Academy of Medical Sciences SGL008\1001Medical Research Council MC-A656-5QD30Medical Research Council MC_U120097115Medical Research Council MR/K022202/1Wellcome TrustWellcome Trust 094849/Z/10/Z
6 · The paper itself

Abstract

backgroundStatic and dynamic functional connectivity are being increasingly used to measure the effects of disease and a range of different interventions on brain networks. While preliminary evidence suggests that static connectivity can be modulated by chronic antidepressants administration in healthy individuals and in major depression, much less is known about the acute effects of antidepressants especially on dynamic functional connectivity changes. Here we examine acute effects of antidepressants on dynamic functional connectivity within the default mode network. The default mode network is a well described network with many functions in which the role of serotonin is not clear.

methodsIn this work we measured acute pharmacological effects of an infusion of the selective serotonin reuptake inhibitor (SSRI) citalopram (10 mg) in a sample of thirteen healthy volunteers randomised to receive on two occasions the active compound or placebo in a cross over dosing.

resultsAcute citalopram administration relative to placebo increased static connectivity between the medial prefrontal cortex and right dorsolateral prefrontal cortex and posterior cingulate cortex. The SSRI also induced a reduction in variability of connectivity with the medial prefrontal cortex in the precuneus and posterior cingulate cortex. DISCUSSION: The measured changes are compatible with modified serotonin cortical availability.

Indexed as

AdultAgedBrain MappingCitalopramCross-Over StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysPrefrontal CortexSelective Serotonin Reuptake InhibitorsSerotoninSingle-Blind MethodCitalopramSelective Serotonin Reuptake InhibitorsSerotoninCitalopramFunctional MRIMRISerotoninSSRI

Identifiers

PMID29409920
PMCPMC5886357

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.