Evidence map›Paper›PMID 39696016›Full record

ArticleBMC psychiatry2024

Altered dynamic functional connectivity in antagonistic state in first-episode, drug-naïve patients with major depressive disorder.

Min Wang, Tao Chen, Zhongyi He, Lawrence Wing-Chi Chan, Qinger Guo, Shuyang Cai, Jingfeng Duan, Danbin Zhang, Xunda Wang, Yu Fang and 1 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Min Wang *Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China. wangmin707@zju.edu.cn.
Tao Chen *Department of Radiology, College of Medicine, The First Affiliated Hospital, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang, 310003, China.
Zhongyi He *Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Lawrence Wing-Chi ChanDepartment of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China.
Qinger GuoDepartment of Radiology, College of Medicine, The First Affiliated Hospital, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang, 310003, China.
Shuyang CaiDepartment of Radiology, College of Medicine, The First Affiliated Hospital, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang, 310003, China.
Jingfeng DuanDepartment of Psychiatry, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.
Danbin ZhangDepartment of Radiology, College of Medicine, The First Affiliated Hospital, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang, 310003, China.
Xunda WangDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Yu FangDepartment of Radiology, College of Medicine, The First Affiliated Hospital, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang, 310003, China.
Hong YangDepartment of Radiology, College of Medicine, The First Affiliated Hospital, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang, 310003, China. 1307017@zju.edu.cn.

Funding

Basic Public Welfare Research Program of Zhejiang Province LGF20H090013Key Research and Development Program, Ministry of Science and Technology of People's Republic of China 2019YFC0121003National Natural Science Foundation of China 32301159Science and Technology Department of Zhejiang Province 2022C03029
6 · The paper itself

Abstract

objectiveMajor depressive disorder (MDD) is known to be characterized by disrupted brain functional network connectivity (FNC) patterns, while the dynamic change mode of different functional networks is unclear. This study aimed to characterize specific dynamic alterations pattern on intrinsic FNC in MDD by combining static FNC (sFNC) and dynamic FNC (dFNC).

methodsA total of 48 first-episode drug-naïve MDD and 48 matched healthy controls (HCs) were included in this study. The sFNC and dFNC were analyzed using complete time-series and sliding window approach, respectively. Both sFNC and dFNC differences between groups were analyzed and associations between disease severity and aberrant FNC were explored.

resultsMDD patients exhibited lower sFNC within and between sensory and motor networks than HC. Four dFNC states were identified, including a globally-weakly-connected state, a cognitive-control-dominated state, a globally-positively-connected state, and an antagonistic state. The antagonistic state was marked by strong positive connections within the sensorimotor domain and their anti-correlations with the executive-motor control domain. Notably, MDD patients exhibited significantly longer dwell time in the globally-weakly-connected state, at the cost of significantly shorter dwell time in the antagonistic state. Further, only the mean dwell time of this antagonistic state was significantly anticorrelated to disease severity measures.

conclusionsOur study highlights the altered dynamics of the antagonistic state as a fundamental aspect of disrupted FNC in early MDD.

Indexed as

ConnectomeMajor Depressive DisorderAdultBrainCase-Control StudiesExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleNerve NetYoung AdultDynamic functional connectivityMajor depressive disorderNetwork antagonismResting-state functional magnetic resonance imaging

Identifiers

PMID39696016
PMCPMC11653573

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.