Evidence map›Paper›PMID 41403255›Full record

SynthesisPsychological medicine2025

Alterations in resting-state brain activity patterns following antidepressant treatment: insights from a coordinate-based meta-analysis.

Ruifeng Shi, Yikai Dou, Ying He, Menglei Luo, Cui Yuan, Yunqiong Wang, Daotao Lan, Dong Yang, Yanling Shen, Yihan Su and 1 more

Erratum issuedAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Ruifeng ShiSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Yikai DouWest China School of Medicine: West China Hospital of Sichuan University, China.ORCID 0000-0001-6210-3206
Ying HeSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Menglei LuoSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Cui YuanSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Yunqiong WangSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Daotao LanSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Dong YangSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Yanling ShenSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Yihan SuSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.
Zuxing WangSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, China.ORCID 0000-0002-5004-9422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntidepressants are the primary treatment for major depressive disorder (MDD), yet their precise neurobiological mechanisms remain incompletely understood. This study aimed to elucidate neural differences between medicated and unmedicated MDD patients by analyzing resting-state functional magnetic resonance imaging data.

methodsWe conducted a coordinate-based meta-analysis, complemented by behavioral, genetic, and neurotransmitter-level evaluations to identify potential therapeutic targets and diagnostic biomarkers. Using seed-based d-mapping with permutation of subject images (SDM-PSI), we assessed brain activation changes associated with antidepressant treatment. The identified regions were further characterized using large-scale molecular and functional brain databases.

resultsA total of 59 studies on unmedicated MDD (2,618 patients, 2,486 controls) and 15 studies on medicated MDD (541 patients, 483 controls) were included. The meta-analysis revealed significantly increased activation in the left striatum among medicated patients, a region linked to cognitive functions such as memory and perception. Gene expression analysis highlighted SLC5A7 and prolactin (PRL) as key genes in this region, while neurotransmitter mapping showed associations with serotonin (5-HT1a, 5-HT2a) and dopamine (D1, D2) receptors. Additionally, reduced activation in the left middle occipital gyrus (MOG) was observed across both medicated and unmedicated groups. This region, implicated in recognition and face processing, showed high expression of TFAP2B and PRL and was associated with serotonin and norepinephrine transporter distributions.

conclusionsThese findings suggest that the left striatum may represent a core neurofunctional target of antidepressant treatment, while the left MOG may serve as a stable neurobiological marker for MDD diagnosis, independent of pharmacological status.

Indexed as

Antidepressive AgentsBrainMajor Depressive DisorderBrain MappingHumansMagnetic Resonance ImagingAntidepressive Agentsdrug-naïvefunctional magnetic resonance imagingmajor depressive disordermedicationtherapeutic target

Identifiers

PMID41403255
PMCPMC13058646

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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.