Evidence mapPaperPMID 39632897Full record

ArticleNature communications2024

Edge-centric connectome-genetic markers of bridging factor to comorbidity between depression and anxiety.

Zhiyi Chen, Yancheng Tang, Xuerong Liu, Wei Li, Yuanyuan Hu, Bowen Hu, Ting Xu, Rong Zhang, Lei Xia, Jing-Xuan Zhang and 10 more

Abstract readTwin Study
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

20 authors.

Zhiyi Chen *Experimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing, China. chenzhiyi@tmmu.edu.cn.ORCID 0000-0003-1744-4647
Yancheng Tang *Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China.
Xuerong LiuExperimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing, China.
Wei Li *Experimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing, China.
Yuanyuan Hu *CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Bowen Hu *State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Ting XuSchool of Psychology, Southwest University, Chongqing, China.
Rong ZhangSchool of Psychology, Southwest University, Chongqing, China.
Lei XiaExperimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing, China.
Jing-Xuan ZhangExperimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing, China.
Zhibing XiaoState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0002-0457-0233
Ji ChenCenter for Brain Health and Brain Technology, Global Institute of Future Technology, Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-9476-1737
Zhengzhi FengExperimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing, China.
Yuan ZhouCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. zhouyuan@psych.ac.cn.ORCID 0000-0001-6378-1711
Qinghua HeSchool of Psychology, Southwest University, Chongqing, China.ORCID 0000-0001-6396-6273
Jiang QiuSchool of Psychology, Southwest University, Chongqing, China.
Xu LeiSchool of Psychology, Southwest University, Chongqing, China.ORCID 0000-0003-2271-1287
Hong ChenSchool of Psychology, Southwest University, Chongqing, China.
Shaozheng QinState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. szqin@bnu.edu.cn.ORCID 0000-0002-1859-2150
Tingyong FengSchool of Psychology, Southwest University, Chongqing, China. fengty0@swu.edu.cn.ORCID 0000-0001-9278-6474

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32300907
6 · The paper itself

Abstract

Depression-anxiety comorbidity is commonly attributed to the occurrence of specific symptoms bridging the two disorders. However, the significant heterogeneity of most bridging symptoms presents challenges for psychopathological interpretation and clinical applicability. Here, we conceptually established a common bridging factor (cb factor) to characterize a general structure of these bridging symptoms, analogous to the general psychopathological p factor. We identified a cb factor from 12 bridging symptoms in depression-anxiety comorbidity network. Moreover, this cb factor could be predicted using edge-centric connectomes with robust generalizability, and was characterized by connectome patterns in attention and frontoparietal networks. In an independent twin cohort, we found that these patterns were moderately heritable, and identified their genetic connectome-transcriptional markers that were associated with the neurobiological enrichment of vasculature and cerebellar development, particularly during late-childhood-to-young-adulthood periods. Our findings revealed a general factor of bridging symptoms and its neurobiological architectures, which enriched neurogenetic understanding of depression-anxiety comorbidity.

Indexed as

AnxietyComorbidityConnectomeDepressionAdolescentAdultAnxiety DisordersBrainChildFemaleGenetic MarkersHumansMagnetic Resonance ImagingMaleYoung AdultGenetic Markers

Identifiers

PMID39632897
PMCPMC11618586

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.