Evidence map›Paper›PMID 41872831›Full record

ArticleBMC medicine2026

Clustering depression subgroups based on dorsolateral prefrontal-subgenual anterior cingulate cortex peak functional connectivity reveals different symptom profiles and TMS treatment outcomes.

Gai Kong, Sirui Wang, Lijiang Wei, Dan Zhang, Lihua Xu, Junjie Wang, Huiru Cui, Zhenying Qian, Hui Li, Jingjing Huang and 4 more

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Gai Kong *Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Sirui Wang *Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lijiang Wei *State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Dan ZhangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lihua XuShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junjie WangSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China.
Huiru CuiShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhenying QianShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui LiShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jingjing HuangSchool of Medicine, Shanghai Pudong New Area Mental Health Center, Tongji University, Shanghai, China.
Hongliang ZhuSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China.
Jijun WangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chaozhe ZhuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. czzhu@bnu.edu.cn.
Yingying TangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. yytang@smhc.org.cn.

Funding

Clinical Research Center at Shanghai Mental Health Center CRC2018ZD01Clinical Research Center at Shanghai Mental Health Center CRC2019ZD02National Nature Science Foundation of China 82101582National Nature Science Foundation of China 82151314National Nature Science Foundation of China 82171497Science and Technology Commission of Shanghai Municipality 21ZR1481500Shanghai Clinical Research Center for Mental Health 19MC1911100Shanghai Talented Youth Program and Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support 20191836STI2030-Major Projects 2022ZD0212800Suzhou Clinical Key Disease Diagnosis and Treatment Technology Special Project LCZX202218Suzhou Municipal Science and Technology Bureau, China SYWD2025005The Health Commission of Suzhou City,China MSXM2025043
6 · The paper itself

Abstract

backgroundAberrant functional connectivity (FC) between the left dorsolateral prefrontal cortex (DLPFC) and subgenual anterior cingulate cortex (sgACC) is a replicated neural correlate of major depressive disorder (MDD). Emerging evidence suggests that individualized DLPFC-sgACC peak connectivity profiles may optimize transcranial magnetic stimulation (TMS) targeting and therapeutic outcomes. We hypothesized that the heterogeneity of DLPFC-sgACC peak FC locations could serve as a neurological basis for classifying distinct MDD subgroups.

methodsWe recruited 120 patients with MDD and used resting-state functional magnetic resonance imaging (MRI) to identify the peak of DLPFC-sgACC FC. Using the personalized peaks' spatial distribution, we clustered patients with MDD into subgroups and compared between-subgroup depressive and anxiety profiles. The classification performance of different clinical profiles between the subgroups was evaluated. The TMS therapeutic outcomes were retrospectively compared between these two subgroups in a small subsample of 37 patients who completed TMS treatment.

resultsThe personalized DLPFC-sgACC peaks of patients with MDD were spread widely within the left DLPFC, clustering into the anterior (73.3%) and posterior (26.7%) subgroups. Peaks in the anterior subgroup were closer to the group-averaged peak, whereas peaks in the posterior subgroup were localized in the posterior DLPFC. The two subgroups showed comparable depressive symptom severity; however, the posterior subgroup showed more severe anxiety symptoms. The clustering of MDD subgroups demonstrated robust consistency across two datasets and different radii parameters. The logistic regression classifier based on the clinical profiles with between-subgroup differences showed good discrimination (AUC = 0.83). The anterior subgroup exhibited greater improvements in the anxiety and depressive symptoms than the posterior subgroup after receiving anterior DLPFC-targeted TMS treatment in the subsample.

conclusionsOur findings suggest two distinct MDD subgroups characterized by differential spatial distribution of personalized DLPFC-sgACC peak FC. These subgroups demonstrate clinical differences in both anxiety symptom severity and TMS therapeutic outcomes, warranting validation through large-sample prospective studies in the future.

Indexed as

Dorsolateral Prefrontal CortexGyrus CinguliMajor Depressive DisorderTranscranial Magnetic StimulationAdultCluster AnalysisFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesTreatment Effect HeterogeneityTreatment OutcomeFunctional connectivityMajor depressive disorderSubgroupsTranscranial magnetic stimulation

Identifiers

PMID41872831
PMCPMC13134212

What OpenQuestion 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 OpenQuestion graph.