Evidence map›Paper›PMID 41398163›Full record

ArticleTranslational psychiatry2025

Symptom-specific alterations in subregional intrinsic connectivity of anterior cingulate cortex in major depressive disorder.

Zilin Zhou, Lianqing Zhang, Xinyue Hu, Lingxiao Cao, Yingxue Gao, Hailong Li, Weijie Bao, Mengyue Tang, Huaiqiang Sun, Weihong Kuang and 3 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Zilin ZhouDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Lianqing ZhangDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Xinyue HuDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Lingxiao CaoDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Yingxue GaoDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Hailong LiDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Weijie BaoDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Mengyue TangDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Huaiqiang SunDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
Weihong KuangDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, 610041, China.
Graham J KempLiverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L69 3BX, United Kingdom.
Xiaoqi HuangDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China. julianahuang@163.com.ORCID http://orcid.org/0000-0001-8686-5010
Qiyong GongDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.ORCID http://orcid.org/0000-0002-5912-4871

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82027808National Natural Science Foundation of China (National Science Foundation of China) 82372080
6 · The paper itself

Abstract

The anterior cingulate cortex (ACC) is critically implicated in major depressive disorder (MDD), with distinct subregional dysfunctions related to specific aspects of emotional and cognitive dysregulation. However, its precise functional architecture, including the number, boundaries and intrinsic connectivity patterns of subdivisions, remains to be characterized in MDD. To address this, we employed data-driven connectivity-based parcellation (CBP) to delineate the optimal ACC functional partitions in 158 first-episode medication-naïve non-comorbid patients with MDD, and 152 healthy controls (HC). We generated subregion-specific ACC intrinsic connectivity maps, and analyzed group differences using diagnosis-by-subregion flexible factorial analyses of variance. We further explored the relationship between connectivity changes and clinical features. The ACC was optimally parcellated into bilateral ventral ACC (vACC) and dorsal ACC (dACC): The vACC showed preferential connections with default mode network (DMN) regions, whereas the dACC primarily connected to salience network and subcortical areas. Significant diagnosis-by-subregion interactions in ACC connectivity were mainly in the DMN regions: in HC, vACC showed stronger connectivity with DMN regions compared to the dACC, while this difference was attenuated in MDD, characterized by the vACC-DMN hypoconnectivity and a trend towards dACC-DMN hyperconnectivity. Clinically, lower vACC-DMN connectivity was related with core depressive symptoms, i.e., lower mood and longer illness duration, while higher dACC-DMN connectivity was linked to elevated maladaptive behaviors, e.g., suicide and insomnia. These findings confirm ventral-dorsal functional heterogeneity of ACC architecture and reveal symptom-specific patterns of subregional ACC-DMN dysconnectivity in MDD, which may provide insights for developing tailored interventions to address specific clinical manifestations.

Indexed as

Default Mode NetworkGyrus CinguliMajor Depressive DisorderNerve NetAdultCase-Control StudiesConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysYoung Adult

Identifiers

PMID41398163
PMCPMC12783760

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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.