Evidence map›Paper›PMID 39963257›Full record

ArticleFrontiers in neuroscience2025

Ketamine effects on resting state functional brain connectivity in major depressive disorder patients: a hypothesis-driven analysis based on a network model of depression.

Kasper Recourt, Joop Van Gerven, Nadieh Drenth, Jeroen van der Grond, Kantaro Nishigori, Nic J Van Der Wee, Gabriël E Jacobs

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 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. Emerging Therapeutic Interventions for Treatment‑Resistant Depression.Advances in experimental medicine and biology · 2026
    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

7 authors.

Kasper RecourtDepartment of Psychiatry, Centre for Human Drug Research, Leiden, Netherlands.
Joop Van GervenDepartment of Psychiatry, Centre for Human Drug Research, Leiden, Netherlands.
Nadieh DrenthDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
Jeroen van der GrondDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
Kantaro NishigoriSumitomo Pharma Co., Ltd., Tokyo, Japan.
Nic J Van Der WeeDepartment of Psychiatry, Leiden University Medical Center, Leiden, Netherlands.
Gabriël E JacobsDepartment of Psychiatry, Centre for Human Drug Research, Leiden, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ketamine demonstrates robust and rapidly occurring antidepressant effects in patients with difficult-to-treat major depressive disorder. Ketamine's antidepressant effects and its impact on functional networks in non-resistant forms of major depressive disorder are expected to provide valuable insight into ketamine's mechanism of action related to depression. Methods: This study employs an existing network model of major depressive disorder to investigate the effects of ketamine on resting state connectivity in a therapy-non-resistant major depressive disorder population. In a randomized, double-blind, placebo-controlled, cross-over study, 0.5 mg/kg racemic ketamine or 0.9%NaCl was administered intravenously in 16 MDD patients. We applied resting-state functional magnetic resonance imaging (rs-fMRI) to explore changes in functional brain connectivity directly at 50, 80 and 165 min (acute) and 24 h (delayed) following ketamine administration. A clinician-rated 10-item scale (MADRS) was administered at 165 min and 24 h after ketamine administration. Connections-of-interest (COIs) were based on the previously published corticolimbic-insular-striatalpallidal-thalamic (CLIPST) circuitry model of major depressive disorder. Results: Compared with placebo, ketamine significantly ( Discussion: This study demonstrates that ketamine specifically affects depression-related circuitry. Analyzing functional connectivity based on a neurocircuitry model of a specific CNS disease and drug action may be an effective approach that could result in a more targeted analysis in future pharmaco-fMRI studies in CNS drug development.

Indexed as

functional MRIglutamatergic modulatorhypothesis-driven analysisketaminemajor depressive disorderNMDA receptor

Identifiers

PMID39963257
PMCPMC11830811

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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.