Evidence map›Paper›PMID 32604403›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2020

Structural-functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode.

Haiteng Jiang, Rongxin Zhu, Shui Tian, Huan Wang, Zhilu Chen, Xinyi Wang, Junneng Shao, Jiaolong Qin, Jiabo Shi, Haiyan Liu and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 51 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

13 authors at 4 institutions in 3 countries.

Haiteng Jiang *Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China.
Rongxin Zhu *Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China.
Shui TianSchool of Biological Sciences and Medical Engineering, Southeast University, 2 Sipailou Street, Nanjing, 210096, China.
Huan WangSchool of Biological Sciences and Medical Engineering, Southeast University, 2 Sipailou Street, Nanjing, 210096, China.
Zhilu ChenDepartment of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China.
Xinyi WangSchool of Biological Sciences and Medical Engineering, Southeast University, 2 Sipailou Street, Nanjing, 210096, China.
Junneng ShaoSchool of Biological Sciences and Medical Engineering, Southeast University, 2 Sipailou Street, Nanjing, 210096, China.
Jiaolong QinKey Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
Jiabo ShiDepartment of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China.
Haiyan LiuDepartment of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China.
Yu ChenDepartment of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China.
Zhijian YaoDepartment of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China. zjyao@njmu.edu.cn.
Qing LuSchool of Biological Sciences and Medical Engineering, Southeast University, 2 Sipailou Street, Nanjing, 210096, China. luq@seu.edu.cn.ORCID http://orcid.org/0000-0001-7717-391X
Nanjing Brain Hospital · CNMinistry of Education · CLNanjing University of Science and Technology · CNSoutheast University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) is associated with a high risk of suicidality, and it is challenging to predict suicide attempts in clinical practice to date. Although structural and functional connectivity alterations from neuroimaging studies have been previously reported in BD with suicide attempts, little is known about how abnormal structural and functional connectivity relates to each other. Here, we hypothesize that structure connectivity constrains functional connectivity, and structural-functional coupling is a more sensitive biomarker to detect subtle brain abnormalities than any single modality in BD patients with a current major depressive episode who had attempted suicide. By investigating structural and resting-state fMRI connectivity, as well as their coupling among 191 BD depression patients with or without a history of suicide attempts and 113 healthy controls, we found that suicide attempters in BD depression patients showed significantly decreased central-temporal structural connectivity, increased frontal-temporal functional connectivity, along with decreased structural-functional coupling compared with non-suicide attempters. Crucially, the altered structural connectivity network predicted the abnormal functional connectivity network profile, and the structural-functional coupling was significantly correlated with suicide risk but not with depression or anxiety severity. Our findings suggest that the structural connectome is the key determinant of brain dysfunction, and structural-functional coupling could serve as a valuable trait-like biomarker for BD suicidal predication over and above the intramodality network connectivity. Such a measure can have clinical implications for early identification of suicide attempters with BD depression and inform strategies for prevention.

Indexed as

Bipolar DisorderConnectomeMajor Depressive DisorderHumansMagnetic Resonance ImagingSuicide, Attempted

Identifiers

PMID32604403
PMCPMC7421902
OpenAlexW3040317061

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.