FoMO and the brain: Loneliness and problematic social networking site use mediate the association between the topology of the resting-state EEG brain network and fear of missing out

Yin, Yulong; X, Cai; Ouyang, Mingkun; Li, Sen; Li, Xu; Wang, Pengcheng

doi:10.1016/j.chb.2022.107624

Cited by 10 publications

(6 citation statements)

References 63 publications

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“…Furthermore, this change increased the traffic loads at the hubs and the risk of hub overload, which, in turn, compromised the global network ( Stam, 2014 ). Previous research reported that internet use disorder and problematic social networking site use also showed a star-like topology of the rs-EEG brain network in the alpha band, like our results ( H. Wang, Sun et al., 2019 ; Yin et al., 2023 ). Thus, for the first time, our findings reveal a close relationship between topological deviations of rs-EEG brain networks and smartphone use disorder.…”

Section: Discussionsupporting

confidence: 88%

Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study

Yin,

Li,

Lau

et al. 2024

JBA

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BackgroundIncreasing research has examined the factors related to smartphone use disorder. However, limited research has explored its neural basis.AimsWe aimed to examine the relationship between the topology of the resting-state electroencephalography (rs-EEG) brain network and smartphone use disorder using minimum spanning tree analysis. Furthermore, we examined how negative emotions mediate this relationship.MethodsThis study included 113 young, healthy adults (mean age = 20.87 years, 46.9% males).ResultsThe results showed that the alpha- and delta-band kappas and delta-band leaf fraction were positively correlated with smartphone use disorder. In contrast, the alpha-band diameter was negatively correlated with smartphone use disorder. Negative emotions fully mediated the relationship between alpha-band kappa and alpha-band diameter and smartphone use disorder. Furthermore, negative emotions partially mediated the relationship between delta-band kappa and smartphone use disorder. The findings suggest that excessive scale-free alpha- and delta-band brain networks contribute to the emergence of smartphone use disorder. In addition, the findings also demonstrate that negative emotions and smartphone use disorder share the same neural basis. Negative emotions play a mediating role in the association between topological deviations and smartphone use disorder.DiscussionTo the best of our knowledge, this is the first study to examine the neural basis of smartphone use disorder from the perspective of the topology of the rs-EEG brain network. Therefore, neuromodulation may be a potential intervention for smartphone use disorder.

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Section: Discussionsupporting

confidence: 88%

Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study

Yin,

Li,

Lau

et al. 2024

JBA

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“…Further, the connections FC6-Fp1 and Fp2-F7 appear for both classes (highlighted in bold in Tables 2 and 3). 44 , and each region was plotted according to 45,46 .…”

Section: /19mentioning

confidence: 99%

Temporal Patterns of EEG Connectivity Unveil Parkinson's Disease Progression: Insights from Machine Learning Analysis

Alves,

Sallum,

Rodrigues

et al. 2024

Preprint

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Objectives: Parkinson’s disease is a multifactorial neurodegenerative disorder whose progression remains complex despiteextensive research. Our study presents an innovative approach to understanding PD progression through detailed analysis ofelectroencephalography signals. By segmenting patients based on disease duration, we uncover unique neural connectivitypatterns corresponding to different duration of PD development. Methods: Employing advanced machine learning techniques,our methodology achieves exceptional accuracy rates in binary classification tasks compared to prior literature. Integrationof Shapley Additive Explanations values enhances model interpretability, revealing critical brain regions and connectivitypatterns implicated in PD pathophysiology. Results: Coherence emerges as a crucial metric for capturing synchronizedsignal behaviors, aiding in discriminating PD patients from controls. Further, our analysis suggests a continuum of neuralconnectivity patterns across disease duration, with early-stage PD resembling healthy brain function and advanced durationexhibiting distinct features indicative of disease progression. Conclusions: These findings deepen our understanding of PDpathogenesis, laying the groundwork for personalized diagnostic and therapeutic approaches tailored to different diseaseduration. Our study contributes significant insights into the complex interplay between neural dynamics, disease progression,and age-related changes in PD, offering potential for future research and clinical applications

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“…According to several studies, fear of missing out (FoMO) is related to loneliness (Fumagalli et al, 2021;O'Brien et al, 2022;Yin et al, 2023). Loneliness activates two opposing motives: social re-connection and selfpreservation, which causes lonely individuals to be hypervigilant about social threats, which may lead to worry about and even misinterpretation of social interactions (Jabeen et al, 2023).…”

Section: Perceived Lonelinessmentioning

confidence: 99%

“…Early research into the prevalence of FOMO discovered that nearly three-quarters of young individuals reported experiencing the phenomenon (Adams et al, 2017). According to Yin et al (2023), most of the younger generation, from the European to the Asian continent, who have access to information through social media, have experienced feelings of FOMO, or fear of being left behind by an experience. FoMO is characterized by the need always to stay connected with what other people are doing and is described as a chronic fear that others may have pleasant experiences while one is missing (Przybylski et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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2024

jbis

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This research aims to systematically review the literature on the drivers and consequences of the fear of missing out (FOMO) phenomena in the tourism context. This study employed a systematic literature review following PRISMA reporting guidelines. The writers searched the online database Elsevier (Scopus) for scholarly publications published in English that can be accessed throughout the databases. This study does a systematic literature review using data from 56 articles. According to the findings, three elements of antecedents contribute to FOMO in the tourism context: electronic word of mouth, reference groups, and perceived loneliness. Then, three variables are the results of the FOMO: intention to seek information, intention to visit, and positive well-being. FOMO is a "fear of being left behind" phenomenon that occurs among online users as a result of the different activities available on social media. Tourism enterprises will likely be able to use the FOMO phenomenon as an advertising tool that will influence the emergence of motivation to visit and create new experiences for travelers. For travelers, the FOMO phenomenon is predicted to be a personal motivation, particularly in meeting the desire for self-esteem and avoiding undesirable attributes such as fear and loneliness.

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FoMO and the brain: Loneliness and problematic social networking site use mediate the association between the topology of the resting-state EEG brain network and fear of missing out

Cited by 10 publications

References 63 publications

Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study

Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study

Temporal Patterns of EEG Connectivity Unveil Parkinson's Disease Progression: Insights from Machine Learning Analysis

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