Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms

Zarei, Shahab A.; Yahyavi, Seyedeh-Saeedeh; Salehi, Iman; Kazemiha, Milad; Kamali, Ali-Mohammad; Nami, Mohammad

doi:10.1002/brb3.2640

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Moreover, humorous videos have the potential to elicit laughter among viewers. Laughter, often considered as a manifestation of joy and satisfaction, has the potential to alleviate feelings like anxiety, stress, loneliness, depression, thereby enhancing mood, optimism, energy levels, and cognitive function [51,52]. Furthermore, short videos can offer virtual reality relaxation with immersive nature scenery and interactive animations.…”

Section: The Mediating Role Of Depressionmentioning

confidence: 99%

Relationships of Short video use and insomnia symptoms among rural adults: A perspective on the mediating role of depression (Preprint)

Hao,

Dong,

et al. 2024

Preprint

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BACKGROUND About four in ten people globally exhibit symptoms of insomnia. With the proliferation of short video apps in life, their impact on adult insomnia remains under explored. OBJECTIVE The purpose of this study was to explore the relationship between short video use, insomnia symptoms, and the mediating role of depression among rural adults in China. METHODS A cross-sectional survey was conducted from July to August 2023 in rural Shandong, China. A total of 2931 individuals were included in the analysis. Depression and insomnia symptoms were measured using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) and the 8-item Athens Insomnia Scale (AIS-8), respectively. After match the short video users with the non-short video users by Propensity Score Matching method (PSM), the chi-square test and rank sum test were used to explore whether short video use was associated with depression and insomnia symptoms. The Ordinary Least Square method (OLS) was employed to determine this association further after controlling for the confounding factors. The significance of the mediation effect was obtained using a bootstrap approach with SPSS PROCESS macro. RESULTS 42.17% (1236/2931) of the participants used the short video. A significant negative correlation was found between short video use and insomnia symptoms (β=-.590, P<.05). Depression fully mediated the association between short video use and insomnia symptoms (β=-.120, P>.1). The significance of the indirect accounted for 79.66% of the total variance in insomnia symptoms. CONCLUSIONS The present findings reveal that short videos use among adults can alleviate insomnia symptoms through its mediating effect on reducing depression. Thus, the potential benefits of short videos warrant further exploration and amplification, provided that addictive behaviors are avoided.

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Section: The Mediating Role Of Depressionmentioning

confidence: 99%

Relationships of Short video use and insomnia symptoms among rural adults: A perspective on the mediating role of depression (Preprint)

Hao,

Dong,

et al. 2024

Preprint

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“…These biometric signals are often referred to as physiological [ 3 , 4 , 5 ] and psychophysiological signals [ 6 ]. The applications of biofeedback are broad and include medical purposes, such as physical and occupational therapy [ 7 , 8 , 9 , 10 ], psychological clinics [ 11 , 12 , 13 , 14 ], and cognitive research [ 15 , 16 , 17 , 18 ]. To ensure the accuracy and quality of their work, researchers often use medical-grade devices in biofeedback studies.…”

Section: Introductionmentioning

confidence: 99%

Building a Low-Cost Wireless Biofeedback Solution: Applying Design Science Research Methodology

Cheng

Lin

2023

Sensors

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In recent years, affective computing has emerged as a promising approach to studying user experience, replacing subjective methods that rely on participants’ self-evaluation. Affective computing uses biometrics to recognize people’s emotional states as they interact with a product. However, the cost of medical-grade biofeedback systems is prohibitive for researchers with limited budgets. An alternative solution is to use consumer-grade devices, which are more affordable. However, these devices require proprietary software to collect data, complicating data processing, synchronization, and integration. Additionally, researchers need multiple computers to control the biofeedback system, increasing equipment costs and complexity. To address these challenges, we developed a low-cost biofeedback platform using inexpensive hardware and open-source libraries. Our software can serve as a system development kit for future studies. We conducted a simple experiment with one participant to validate the platform’s effectiveness, using one baseline and two tasks that elicited distinct responses. Our low-cost biofeedback platform provides a reference architecture for researchers with limited budgets who wish to incorporate biometrics into their studies. This platform can be used to develop affective computing models in various domains, including ergonomics, human factors engineering, user experience, human behavioral studies, and human–robot interaction.

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Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms

Zarei

Yahyavi

Salehi³

et al. 2022

Brain and Behavior

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Introduction:The practicality of the idea whether the laughter-involved large-scale brain networks can be stimulated to remediate affective symptoms, namely depression, has remained elusive. Methods:In this study, 25 healthy individuals were tested through 21-channel quantitative electroencephalography (qEEG) setup upon resting state and while submitted to standardized funny video clips (corated by two behavioral neuroscientists and a verified expert comedian, into neutral and mildly to highly funny). We evaluated the individuals' facial expressions against the valence and intensity of each stimulus through the Nuldos face analysis software. The study also employed an eye-tracking setup to examine fixations, gaze, and saccadic movements upon each task. In addition, changes in polygraphic parameters were monitored upon resting state and exposure to clips using the 4-channel Nexus polygraphy setup. Results:The happy facial expression analysis, as a function of rated funny clips, showed a significant difference against neutral videos (p < 0.001). In terms of the polygraphic changes, heart rate variability and the trapezius muscle surface electromyography measures were significantly higher upon exposure to funny vs. neutral videos (p < 0.5). The average pupil size and fixation drifts were significantly higher and lower, respectively, upon exposure to funny videos (p < 0.01). The qEEG data revealed the highest current source density (CSD) for the alpha frequency band localized in the left frontotemporal network (FTN) upon exposure to funny clips. Additionally, left FTN acquired the highest value for theta coherence z-score, while the beta CSD predominantly fell upon the salience network (SN).Conclusions: These preliminary data support the notion that left FTN may be targeted as a cortical hub for noninvasive neuromodulation as a single or adjunct therapy in remediating affective disorders in the clinical setting. Further studies are needed to test the hypotheses derived from the present report.

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Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms

Cited by 3 publications

References 27 publications

Relationships of Short video use and insomnia symptoms among rural adults: A perspective on the mediating role of depression (Preprint)

Relationships of Short video use and insomnia symptoms among rural adults: A perspective on the mediating role of depression (Preprint)

Building a Low-Cost Wireless Biofeedback Solution: Applying Design Science Research Methodology

Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms

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