Evidence map›Paper›PMID 39921611›Full record

ReviewThe international journal of neuropsychopharmacology2025

Towards an expanded neurocognitive account of ketamine's rapid antidepressant effects.

Yingliang Dai, Ben J Harrison, Christopher G Davey, Trevor Steward

Abstract readReview
In one paragraph

Review in The international journal of neuropsychopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Yingliang DaiDepartment of Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0001-9547-9410
Ben J HarrisonDepartment of Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-2226-2074
Christopher G DaveyDepartment of Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-1431-3852
Trevor StewardDepartment of Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-3116-8175

Funding

Brain & Behavior Research FundChina Scholarship Council CSC202209350007Medical Research Future Fund MRF1193736National Health and Medical Research Council 2027662NHMRC Career Development Fellowship 1141738
6 · The paper itself

Abstract

Ketamine is an N-methyl-D-aspartate receptor antagonist that has shown effectiveness as a rapidly acting treatment for depression. Although advances have been made in understanding ketamine's antidepressant pharmacological and molecular mechanisms of action, the large-scale neurocognitive mechanisms driving its therapeutic effects are less clearly understood. To help provide such a framework, we provide a synthesis of current evidence linking ketamine treatment to the modulation of brain systems supporting reward processing, interoception, and self-related cognition. We suggest that ketamine's antidepressant effects are, at least in part, driven by dynamic multi-level influences across these key functional domains.

Indexed as

Antidepressive AgentsBrainCognitionExcitatory Amino Acid AntagonistsKetamineAnimalsHumansReceptors, N-Methyl-D-AspartateRewardAntidepressive AgentsExcitatory Amino Acid AntagonistsKetamineReceptors, N-Methyl-D-Aspartateantidepressantdepressionketamineneurobiologyneurocognitive

Identifiers

PMID39921611
PMCPMC11879094

What OpenQuestion holds

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LicenceCC BY-NC
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.