Evidence map›Paper›PMID 38833581›Full record

Trial reportThe international journal of neuropsychopharmacology2024

Subanesthetic Ketamine Suppresses Locus Coeruleus-Mediated Alertness Effects: A 7T fMRI Study.

Thomas Liebe, Lena Vera Danyeli, Zümrüt Duygu Sen, Meng Li, Jörn Kaufmann, Martin Walter

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The international journal of neuropsychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Thomas LiebeDepartment of Psychiatry and Psychotherapy, University of Jena, Jena, Germany.ORCID 0009-0007-5942-4405
Lena Vera DanyeliDepartment of Psychiatry and Psychotherapy, University of Jena, Jena, Germany.
Zümrüt Duygu SenDepartment of Psychiatry and Psychotherapy, University of Jena, Jena, Germany.
Meng LiDepartment of Psychiatry and Psychotherapy, University of Jena, Jena, Germany.
Jörn KaufmannDepartment of Psychiatry and Psychotherapy, University of Jena, Jena, Germany.
Martin WalterDepartment of Psychiatry and Psychotherapy, University of Jena, Jena, Germany.

Funding

Interdisciplinary Center of Clinical Research
6 · The paper itself

Abstract

backgroundThe NMDA antagonist S-ketamine is gaining increasing use as a rapid-acting antidepressant, although its exact mechanisms of action are still unknown. In this study, we investigated ketamine in respect to its properties toward central noradrenergic mechanisms and how they influence alertness behavior.

methodsWe investigated the influence of S-ketamine on the locus coeruleus (LC) brain network in a placebo-controlled, cross-over, 7T functional, pharmacological MRI study in 35 healthy male participants (25.1 ± 4.2 years) in conjunction with the attention network task to measure LC-related alertness behavioral changes.

resultsWe could show that acute disruption of the LC alertness network to the thalamus by ketamine is related to a behavioral alertness reduction.

conclusionThe results shed new light on the neural correlates of ketamine beyond the glutamatergic system and underpin a new concept of how it may unfold its antidepressant effects.

Indexed as

AttentionCross-Over StudiesKetamineLocus CoeruleusMagnetic Resonance ImagingAdultAntidepressive AgentsDouble-Blind MethodExcitatory Amino Acid AntagonistsHumansMaleYoung AdultAntidepressive AgentsEsketamineExcitatory Amino Acid AntagonistsKetaminealertnessKetamineLC functional connectivitylocus coeruleusultra-high field MRI

Identifiers

PMID38833581
PMCPMC11187989

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.