Evidence map›Paper›PMID 39335429›Full record

ArticleBrain sciences2024

Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder.

Luyao Lai, Dandan Li, Yating Zhang, Jianchao Hao, Xuedong Wang, Xiaohong Cui, Jie Xiang, Bin Wang

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

8 authors.

Luyao LaiCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.
Dandan LiCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.
Yating ZhangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.
Jianchao HaoCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.
Xuedong WangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.
Xiaohong CuiCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.
Jie XiangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.ORCID 0000-0002-9758-6954
Bin WangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.ORCID 0000-0001-7771-5360

Funding

National Key Scientific and Technological Infrastructure project "Earth System Numerical Simu-lation Facility" 2023-EL-PT-000371National Natural Science Foundation of China 62176177National Natural Science Foundation of China 62376184Shanxi Province Applied Basic Research Plan 202303021211055Shanxi Province Applied Basic Research Plan 202303021221034
6 · The paper itself

Abstract

backgroundMultilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of dynamic reconfiguration is not comprehensive enough; Methods: Resting-state functional magnetic resonance imaging data were collected from 46 BD patients and 54 normal controls. A multilayer temporal network was constructed for each subject, and inter-layer coupling of different nodes was considered using network similarity. The promiscuity, recruitment, and integration coefficients were calculated to quantify the different dynamic reconfigurations between the two groups; Results: The global inter-layer coupling, recruitment, and integration coefficients were significantly lower in BD patients. These results were further observed in the attention network and the limbic/paralimbic and subcortical network, reflecting reduced temporal stability, intra- and inter-subnetwork communication abilities in BD patients. The whole-brain promiscuity was increased in BD patients. The same results were observed in the somatosensory/motor and auditory network, reflecting more functional interactions; Conclusions: This study discovered abnormal dynamic interactions of BD from the perspective of dynamic reconfiguration, which can help to understand the pathological mechanisms of BD.

Indexed as

bipolar disorderdynamic reconfigurationinter-layer couplingmultilayer temporal networkphase coherence

Identifiers

PMID39335429
PMCPMC11430687

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