Evidence map›Paper›PMID 41684114›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2026

Network localization of brain functional effects of ketamine treatment for major depression.

Haining Ma, Huaigui Liu, Wenwei Zhang, Xufeng Zhao, Dan Zhang, Kaijie An, Yinfeng Qian, Jiajia Zhu

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Haining MaDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei230022, China.
Huaigui LiuDepartment of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, https://ror.org/003sav965Tianjin Medical University General Hospital, Tianjin300052, China.ORCID 0000-0003-3660-3770
Wenwei ZhangDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei230022, China.
Xufeng ZhaoDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei230022, China.
Dan ZhangDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei230022, China.ORCID 0009-0009-7957-0148
Kaijie AnDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei230022, China.
Yinfeng QianDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei230022, China.
Jiajia ZhuDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei230022, China.ORCID 0000-0001-7343-6241

Funding

National Natural Science Foundation of China 82471952
6 · The paper itself

Abstract

backgroundConsiderable effort has been devoted to investigate the neuroimaging correlates and predictors of antidepressant response to ketamine, yet inconsistency in the location and nature of the regional brain effects makes it difficult to unify this research. Despite the revolutionary notion that psychiatric therapeutics show network-level brain representations, investigations into network localization of brain functional effects of ketamine treatment are still lacking.

methodsWe initially identified the locations of longitudinal brain functional alterations (increase and decrease separately) induced by ketamine treatment from 16 published studies with 508 depressed patients. By integrating these affected brain locations with large-scale functional MRI datasets from 1113 healthy and 255 depressed individuals, we then leveraged a novel functional connectivity network mapping approach to construct ketamine-induced hyper-functional and hypo-functional networks respectively.

resultsThe hyper-functional network mainly involved the subcortical (caudate nucleus and thalamus) and default (medial prefrontal cortex) networks, while its hypo-functional counterpart predominantly implicated the limbic (temporal pole), subcortical (hippocampus and amygdala), and default (lateral temporal cortex) networks.

conclusionOur findings may shed light on the neurobiological effects of ketamine from a network perspective, which might represent a crucial step toward fostering the clinical application of ketamine in antidepressant treatment.

Indexed as

Antidepressive AgentsBrainKetamineMajor Depressive DisorderNerve NetAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleAntidepressive AgentsKetaminebrain networkdepressionfunctional connectivityketamineMRI

Identifiers

PMID41684114
PMCPMC12978991

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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.