A network analysis of subjective well-being in Chinese high school students

Wang, Shiwei; Zhao, Siqi; Guo, Yan; Huang, Chengjing; Zhang, Pei; She, Lu; Bing, Xiang; Zeng, Jing; Zhu, Feng; Xie, Xinyan; Yang, Mei

doi:10.1186/s12889-023-16156-y

Cited by 1 publication

(1 citation statement)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The y-axis displays the average correlations between the centrality indices of the initial network and the centrality indices obtained from the networks estimated again after dropping increasing percentages of cases. Each line on the graph illustrates the correlations of strength, betweenness and closeness, while the areas represent the 95% con dence intervals (43).…”

Section: Declarations Figuresmentioning

confidence: 99%

Using network analysis to examine the connectivity between the brain regions in rs-fMRI data of FND patient and healthy participant : A single subject study

Ahmadi,

Oghabian

et al. 2023

Preprint

View full text Add to dashboard Cite

Introduction: Functional neurological disorders (FND) is one of the most common causes of neuropathy, However, its cause continues to be mysterious. Understanding the underlying mechanisms of FND is crucial for treatment strategies. The study was conducted on brain images(rs-fMRI) taken from two volunteers (FND patient and healthy subject) who had the same characteristics. Method: We fitted Gaussian Graphical Models to a single subject data using network approach. Results: Based on the results of the networks, the number of significant edges was more in the left hemisphere in the patient, but in the healthy person, the number of these non-zero edges was more in the right hemisphere. Both the networks related to the healthy person and the patient had high density. Therefore, it indicated that the regions considered by these 2 people were strongly related to each other. The results showed the existence of more links and positive relationships between the regions, most of which showed a strong relationship. Among these connections, there were also negative connections. The networks of the healthy participant with almost symmetrical structures and the patient with FND showed different characteristics, including asymmetry between the hemispheres. Conclusion: this study is the first to demonstrate that the brain regions of both FND patient and healthy participant can be conceptualized as networks. The findings of this study add to a growing body of literature that FND patient brain regions can be analyzed using network approaches.

show abstract

Section: Declarations Figuresmentioning

confidence: 99%