Evidence map›Paper›PMID 41484145›Full record

ArticleNature communications2026

Distinct antidepressant therapies act on a common brain network.

Gong-Jun Ji, Wenqiang Xu, Juan Zhang, Qianqian Li, Yinian Yang, Kongliang He, Fengqiong Yu, Chunyan Zhu, Xiao Jiang, Liang Jing and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

13 authors.

Gong-Jun Ji *School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.ORCID http://orcid.org/0000-0002-7073-5534
Wenqiang Xu *School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.ORCID http://orcid.org/0009-0002-5839-069X
Juan Zhang *School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Qianqian Li *Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Yinian YangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Kongliang HeAffiliated Psychological Hospital of Anhui Medical University, Hefei, China.
Fengqiong YuSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Chunyan ZhuSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.ORCID http://orcid.org/0000-0002-3434-2581
Xiao JiangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Liang JingSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Panpan HuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China. hpppanda9@126.com.ORCID http://orcid.org/0000-0002-1683-2739
Yanghua TianDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China. tianyh@ahmu.edu.cn.ORCID http://orcid.org/0000-0001-5038-0599
Kai WangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China. wangkai1964@126.com.ORCID http://orcid.org/0000-0002-6197-914X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression disorder is a global health crisis, due to its high prevalence. Yet clinical treatments are inadequate. Uncovering the neural correlates of depression remission is a vital step toward developing effective therapies. Using a method termed therapeutic network mapping, we performed secondary analyses on the data of 16 longitudinal experiments and found that the network of the amygdala was commonly modulated by three antidepressant therapies (pharmacotherapy, electroconvulsive therapy, and magnetic seizure therapy). This therapeutic network was i) validated by two independent treatment datasets of patients with depression and a prospective preclinical experiment on male rats, ii) associated with networks of depression-related genes, neurotransmitters, and cognitions, and iii) also the target network of deep brain stimulation and repetitive transcranial magnetic stimulation (rTMS). Finally, a longitudinal rTMS experiment indicated that strengthened therapeutic network connectivity is associated with higher depressant alleviation. Taken together, our findings demonstrate that distinct antidepressant therapies act on a common network with potential targets for developing effective therapies.

Indexed as

Antidepressive AgentsBrainDepressionDepressive DisorderNerve NetAdultAmygdalaAnimalsDeep Brain StimulationDisease Models, AnimalElectroconvulsive TherapyFemaleHumansMaleRatsRats, Sprague-DawleyAntidepressive Agents

Identifiers

PMID41484145
PMCPMC12858948

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.