Evidence map›Paper›PMID 42830015›Full record

ArticleNeuroImage. Clinical2026

Depression: higher temporal variability of the functional connectivity of the ventromedial prefrontal cortex and hippocampal system.

Yinhan Chen, Edmund T Rolls, Yanlin Yu, Chu-Chung Huang, Qiang Luo, Wei Cheng, Xiang Wang, Tianhong Zhang, Jianfeng Feng

Erratum issuedAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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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

5 · Who and what money

Authors and funding

9 authors.

Yinhan ChenInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China.
Edmund T RollsInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China; Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK; Oxford Centre for Computational Neuroscience, Oxford, UK. Electronic address: Edmund.Rolls@oxcns.org.
Yanlin YuShanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200602, China.
Chu-Chung HuangShanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200602, China.
Qiang LuoInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China; Shanghai Research Center of Acupuncture & Meridian, Shanghai 200433, China; State Key Laboratory of Brain Function and Disorders and MOE Frontiers Center for Brain Science, Institutes of Brain Science and Research Institute of Intelligent and Complex Systems, Fudan University, Shanghai 200433, China.
Wei ChengInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China.
Xiang WangMedical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China; China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, 410011, China.
Tianhong ZhangNeuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China.
Jianfeng FengInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China; Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is important to understand the brain differences found in depression in the first episode untreated state, to ensure that differences related to depression and not to the treatments or long-term effects of being depressed are identified. Resting state functional connectivity was measured in 172 patients with not yet treated first-episode major depressive disorder (MDD) with a mean age of 22 years, and 237 healthy controls (HC), using the Human Connectome Project Multimodal Parcellation atlas. Higher temporal variability of resting state functional connectivity was found in depression of ventromedial prefrontal cortex (vmPFC) and medial orbitofrontal cortex regions including 10r, 10v and OFC implicated in reward, and the medial temporal lobe / hippocampal memory system, and for some lateral orbitofrontal cortex regions, in the right hemisphere. These functional differences in depression were found with only two significant differences between the MDD patients and the controls in the volumes of cortical regions, and no significant differences in the weighted streamline numbers between cortical regions measured with diffusion tractography, so functional measures of cortical function are more revealing in this first-episode cohort about brain differences in depression than anatomical differences. The results greatly extend by use of a young first-episode cohort not yet receiving medication our understanding of how a ventromedial prefrontal cortex (vmPFC) reward-related region with major connectivity with orbitofrontal cortex emotion systems and hippocampal memory systems have increased temporal variability and reduced stability in depression, and have implications for treatment, including that this vmPFC reward system should be treated.

Indexed as

Anterior cingulate cortexFunctional connectivityHCP-MMPhippocampusMajor depressive disorderOrbitofrontal cortexVentromedial prefrontal cortex

Identifiers

PMID42830015
PMCPMC13659759

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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.