Evidence map›Paper›PMID 37837649›Full record

ArticleHuman brain mapping2023

Aberrant degree centrality profiles during rumination in major depressive disorder.

Feng-Nan Jia, Xiao Chen, Xiang-Dong Du, Zhen Tang, Xiao-Yun Ma, Tian-Tian Ning, Si-Yun Zou, Shang-Fu Zuo, Hui-Xian Li, Shi-Xian Cui and 19 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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

29 authors at 5 institutions in 3 countries.

Feng-Nan JiaSoochow University, Suzhou, Jiangsu, China.
Xiao ChenCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.ORCID 0000-0001-5561-6572
Xiang-Dong DuSoochow University, Suzhou, Jiangsu, China.
Zhen TangSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Xiao-Yun MaSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Tian-Tian NingSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Si-Yun ZouSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Shang-Fu ZuoBoston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Hui-Xian LiThe Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Shi-Xian CuiCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Zhao-Yu DengCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Jia-Lin FuSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Xiao-Qian FuSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Yue-Xiang HuangSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Xue-Ying LiCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Tao LianCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Yi-Fan LiaoCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Li-Li LiuSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Bin LuCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Yan WangSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Yu-Wei WangCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Zi-Han WangCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Gang YeSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Xin-Zhu ZhangSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Hong-Liang ZhuSuzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Chuan-Sheng QuanDepartment of Psychology, Zhangjiagang Fourth People's Hospital, Zhangjiagang, Jiangsu, China.
Hong-Yan SunDepartment of Radiology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China.
Chao-Gan YanCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Yan-Song LiuSoochow University, Suzhou, Jiangsu, China.
Soochow University · CNChinese Academy of Sciences · CNBoston University · USCentre for Addiction and Mental Health · CAThird Affiliated Hospital of Zhengzhou University · CN

Funding

CSRD VA IK2 CX000624
6 · The paper itself

Abstract

Rumination is closely linked to the onset and maintenance of major depressive disorder (MDD). Prior neuroimaging studies have identified the association between self-reported rumination trait and the functional coupling among a network of brain regions using resting-state functional magnetic resonance imaging (MRI). However, little is known about the underlying neural circuitry mechanism during active rumination in MDD. Degree centrality (DC) is a simple metric to denote network integration, which is critical for higher-order psychological processes such as rumination. During an MRI scan, individuals with MDD (N = 45) and healthy controls (HC, N = 46) completed a rumination state task. We examined the interaction effect between the group (MDD vs. HC) and condition (rumination vs. distraction) on vertex-wise DC. We further characterized the identified brain region's functional involvement with Neurosynth and BrainMap. Network-wise seed-based functional connectivity (FC) analysis was also conducted for the identified region of interest. Finally, exploratory correlation analysis was conducted between the identified region of interest's network FCs and self-reported in-scanner affect levels. We found that a left superior frontal gyrus (SFG) region, generally overlapped with the frontal eye field, showed a significant interaction effect. Further analysis revealed its involvement with executive functions. FCs between this region, the frontoparietal, and the dorsal attention network (DAN) also showed significant interaction effects. Furthermore, its FC to DAN during distraction showed a marginally significant negative association with in-scanner affect level at the baseline. Our results implicated an essential role of the left SFG in the rumination's underlying neural circuitry mechanism in MDD and provided novel evidence for the conceptualization of rumination in terms of impaired executive control.

Indexed as

Major Depressive DisorderBrainBrain MappingExecutive FunctionFrontal LobeHumansMagnetic Resonance ImagingPrefrontal Cortexdegree centralitydorsal attention networkexecutive functionfMRImajor depressive disorderrumination

Identifiers

PMID37837649
PMCPMC10619375
OpenAlexW4387638831

What OpenQuestion holds

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LicenceCC BY-NC
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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.