Evidence map›Paper›PMID 40574764›Full record

ArticleWorld journal of psychiatry2025

Neural correlates of rumination in remitted depressive episodes: Brain network connectivity and topology analyses.

Kang-Ning Li, Shi-Xiong Tang, You-Fu Tao, Hai-Ruo He, Mo-Han Ma, Qian-Qian Zhang, Mei Huang, Wen-Tao Chen, Hui Liang, Ao-Qian Deng and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Neural Circuit Taxonomy and Precision Psychiatry in Major Depression.Advances in experimental medicine and biology · 2026
    Review
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

17 authors.

Kang-Ning LiDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Shi-Xiong TangDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
You-Fu TaoXiangya Medical School, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Hai-Ruo HeDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Mo-Han MaDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Qian-Qian ZhangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Mei HuangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Wen-Tao ChenDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Hui LiangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Ao-Qian DengDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Si-Rui GaoDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Fan-Yu MengDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Yi-Lin PengDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Yu-Meng JuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Wen-Wen OuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Su ShuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China. shusujy@163.com.
Yan ZhangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRumination is a critical psychological factor contributing to the relapse of major depressive episodes (MDEs) and a core residual symptom in remitted MDEs. Investigating its neural correlations is essential for developing strategies to prevent MDE relapse. Despite its clinical importance, the brain network mechanisms underlying rumination in remitted MDE patients have yet to be fully elucidated.

aimTo investigate the brain network mechanism underlying rumination in patients with remitted MDEs using functional magnetic resonance imaging (fMRI).

methodsWe conducted an fMRI-based rumination-distraction task to induce rumination and distraction states in 51 patients with remitted MDEs. Functional connectivity (FC) was analyzed using the network-based statistic (NBS) approach, and eight topological metrics were calculated to compare the network topological properties between the two states. Correlation analyses were further performed to identify the relationships between individual rumination levels and the significantly altered brain network metrics.

resultsThe NBS analysis revealed that the altered FCs between the rumination and distraction states were located primarily in the frontoparietal, default mode, and cerebellar networks. No significant correlation was detected between these altered FCs and individual rumination levels. Among the eight topological metrics, the clustering coefficient, shortest path length, and local efficiency were significantly lower during rumination and positively correlated with individual rumination levels. In contrast, global efficiency was greater in the rumination state than in the distraction state and was negatively correlated with individual rumination levels.

conclusionOur work revealed the altered FC and topological properties during rumination in remitted MDE patients, offering valuable insights into the neural mechanisms of rumination from a brain network perspective.

Indexed as

Functional connectivityMajor depressive episodeNetwork topologyNeural mechanismRumination

Identifiers

PMID40574764
PMCPMC12188921

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.