Evidence map›Paper›PMID 42098265›Full record

ArticleMolecular psychiatry2026

Stable depression subtypes identified using functional connectome normative deviation models and their response to rTMS.

Chengfeng Chen, Liyuan Lin, Yuan Liu, Shiying Wang, Jiang Wang, Yufeng Zang, Jijun Wang, Wen Qin, Bin Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 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

9 authors.

Chengfeng Chen *Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.
Liyuan Lin *Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
Yuan LiuInstitute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.
Shiying WangDepartment of Psychiatry and Psychology, Tianjin Medical University, Tianjin, China.
Jiang WangMental Health Center of Tianjin University, Tianjin Anding Hospital, Tianjin, China.
Yufeng ZangCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
Jijun WangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-5427-7425
Wen QinDepartment of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China. wayne.wenqin@gmail.com.ORCID http://orcid.org/0000-0002-9121-8296
Bin ZhangInstitute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China. zhang.bin845@foxmail.com.ORCID http://orcid.org/0000-0002-9280-8247

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81971599
6 · The paper itself

Abstract

The heterogeneity of depression complicates treatment. Identifying stable biological subtypes could advance precision-targeted interventions. This study aims to identify stable depression subtypes using functional connectome normative deviation models and to assess their response to repetitive transcranial magnetic stimulation (rTMS). We analyzed 1204 patients spanning different states of depression, together with 1636 healthy controls. Functional connectome normative models were derived from healthy controls to generate individual deviation maps for patients with depression, which were clustered using k-means to identify biologically informed subtypes. Subtype-specific responses to dorsolateral prefrontal cortex rTMS were evaluated, and putative neurobiological mechanisms underlying differential rTMS responsiveness were investigated. Two reproducible subtypes emerged across various clinical and methodological conditions: subtype-1 exhibited hyperconnectivity in somatomotor and ventral attention networks and hypoconnectivity in frontoparietal and default mode networks, whereas subtype-2 showed the opposite pattern. Only subtype-2 showed significant improvement in anhedonia following rTMS treatment (SHAPS: z =- 2.92, P = 0.001, FDR), which was significantly greater than that of subtype-1 (SHAPS, subtype-1 vs. subtype-2 efficacy: z = -2.43, P = 0.046, FDR). Patients whose connectome deviation patterns more closely resembled subtype-2 had better anhedonia improvement (r = 0.48, P = 0.012), while those closer to subtype-1 had less improvement (r = -0.46, P = 0.016). Only the pattern of deviation changes in subtype-2 was positively correlated with the anhedonia-related functional connectivity network mapping (r = 0.43, P < 0.001). These preliminary findings highlight potential avenues for subtype-targeted interventions in depression and warrant validation in larger randomized controlled trials.

Indexed as

ConnectomeDepressionAdultAnhedoniaBrainDorsolateral Prefrontal CortexFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNeural PathwaysPrefrontal CortexTranscranial Magnetic Stimulation

Identifiers

What OpenQuestion holds

Textmetadata
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.