Viewing personalized video clips recommended by TikTok activates default mode network and ventral tegmental area

Su, Conghui; Zhou, Hui; Gong, Liangyu; Teng, Binyu; Geng, Fengji; Hu, Yuzheng

doi:10.1016/j.neuroimage.2021.118136

Cited by 39 publications

(37 citation statements)

References 104 publications

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“…Consequently, our results overlapped with several findings on shallow reading maybe because the reading mode for social media is relatively shallow. Previous neuroimaging research also reports similar findings, including increased brain activation in the DMN and increased coupling between activated DMN and neural pathways underlying auditory and visual processing, as well as the FPN ( Su et al, 2021 ). In contrast, brain activity increases after reading books, and this mainly results from the increased FC between the visual word forming area and the regions related to language, visual processing, and cognitive control ( Horowitz-Kraus and Hutton, 2018 ).…”

Section: Discussionsupporting

confidence: 62%

“…Several fMRI studies have investigated brain activity while reading social media posts; however, in these studies, the relevant tasks were conducted in the MR scanners, which is not the normal state ( Moisala et al, 2016 ; Sherman et al, 2016 ; Su et al, 2021 ). Recent neuroimaging studies show that transient cognitive tasks can result in carryover effects of intrinsic brain activity that can be traced after the task through the functional connectivity (FC) ( Gaviria et al, 2021a , b ).…”

Section: Introductionmentioning

confidence: 99%

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Combining Dynamic Network Analysis and Cerebral Carryover Effect to Evaluate the Impacts of Reading Social Media Posts and Science Fiction in the Natural State on the Human Brain

Cui

et al. 2022

Front. Neurosci.

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Social media has been associated with decreased attention, memory, and learning abilities; however, the underlying mechanisms remain unclear. Dynamic function network connectivity (dFNC) analysis is suitable for uncovering dynamical brain activity. Besides, the effects of a cognitive task may persist for a while on the brain, even after the termination of the task, also known as the carryover effect. Consequently, we combined the dFNC analysis and cerebral carryover effects to study the brain dynamics of reading social media posts in the natural state and comparatively investigated the brain dynamics of reading science fiction on the smartphone. We performed functional MRI (fMRI) scans of all subjects at baseline and then assigned them a social media post or science fiction reading task. Immediately after, another fMRI scanning was performed for these subjects. We found that the change between dFNC states, the number of dFNC states, and the total distances increased after reading science fiction. Furthermore, the global, local, and nodal efficiencies of the deep-thinking state tended to increase after reading science fiction. On reading social media posts, the functional connectivity (FC) between the default mode network (DMN) and bilateral frontoparietal network (FPN) decreased, while the FC between DMN and visual network (VN) increased. Given the current evidence, we concluded that reading science fiction could substantially increase brain activity and network efficiency, while social media was related to abnormal FCs between DMN, VN, and FPN.

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Section: Discussionsupporting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Combining Dynamic Network Analysis and Cerebral Carryover Effect to Evaluate the Impacts of Reading Social Media Posts and Science Fiction in the Natural State on the Human Brain

Cui

et al. 2022

Front. Neurosci.

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“…Secondly, short video apps can predict each user’s interest and recommend personalized videos. This can activate the default mode network, reduce cognitive control, and develop a problematic usage pattern that manifests as addictive undesirable behavior [ 47 ]. This further leads to increased screen time, ultimately reducing melatonin production.…”

Section: Discussionmentioning

confidence: 99%

Short Video Viewing, and Not Sedentary Time, Is Associated with Overweightness/Obesity among Chinese Women

Chen

Pan

et al. 2022

Nutrients

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Previous studies have found that the relationship between sedentary time (ST) and overweightness/obesity is unclear. The association between sedentary behavior and overweightness/obesity may depend on the type of sedentary behavior engaged in. Nowadays, in older Chinese adults, especially females, short video viewing (SVV) is the most popular leisure sedentary behavior. However, the association between SVV and overweightness/obesity remains to be determined. This study aimed to examine the associations between ST and SVV and overweightness/obesity in Chinese community-dwelling older women. A cross-sectional analysis of baseline data from the Physical Activity and Health in Older Women Study was carried out in this study. A total of 1105 older Chinese women aged 60–70 years were included. SVV was estimated using a self-reported questionnaire, and ST was objectively measured using a tri-axial accelerometer. Overweightness/obesity indicators, including body fat ratio (BFR), fat mass (FM), visceral fat mass (VFM), subcutaneous fat mass (SFM), trunk fat mass (TFM), and limb fat mass (LFM), were assessed using multi-frequency bioimpedance analysis. The covariates included socio-demographic data and a range of health-related factors. Multiple linear regression analyses were used to assess the association between ST and SVV and overweightness/obesity. ST was significantly positively associated with all indicators of overweightness/obesity; however, the associations disappeared after adjusting for moderate-to-vigorous-intensity physical activity (MVPA). A higher SVV time was associated with a higher body mass index (BMI) (β = 0.19, 95% confidence interval (CI): 0.05 to 0.32), BFR (β = 0.31, 95% CI: 0.07 to 0.56), FM (β = 0.33, 95% CI: 0.04 to 0.61), VFM (β = 0.09, 95% CI: 0.01 to 0.16), SFM (β = 0.24, 95% CI: 0.03 to 0.45), TFM (β = 0.21, 95% CI: 0.04 to 0.39), and LFM (β = 0.11, 95% CI: 0.00 to 0.23) in the fully adjusted models. Compared with non-food short videos, short food videos had a greater effect on overweightness/obesity. SVV was an independent risk factor for overweightness/obesity. A reduction in SVV (especially the food category) rather than ST might be an effective way to prevent overweightness/obesity when incorporated in future public health policy formulations.

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“…In addition, daily media multitasking was associated with increased recruitment of brain areas involved in attentional and inhibitory control (Moisala et al, 2016). When viewing personalized videos, there was higher brain activations in DMN, ventral tegmental area, and discrete regions including lateral prefrontal, anterior thalamus, and cerebellum (Su et al, 2021). These findings are consistent with our findings, which indicates that the impact of social media on brain is extensive due to the diverse stimuli.…”

Section: Discussionmentioning

confidence: 99%

Intersubject correlation analysis reveals the plasticity of cerebral functional connectivity in the long‐term use of social media

Yan

et al. 2022

Human Brain Mapping

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Owing to the limitations of cross-sectional studies, it is unclear whether social media induce brain changes, or if individuals with certain biological traits are more likely to use social media. Functional connectivity (FC) can reflect cerebral functional plasticity, and if social media can influence cerebral FC, then the FC of light social media users should be more similar to that of heavy users after they "heavily" used social media for a long period. We combined longitudinal study design and intersubject correlation (ISC) analysis to investigate this similarity. Thirty-five heavy and 21 light social media users underwent cognitive tests and functional MRIs. The 21 light social media users underwent another functional MRI scan after completing an additional four-week social media task. We conducted the ISC at the group, individual, and brain-region levels to investigate the similarity of FC and locate the brain regions most affected by social media. The FC of light social media users was more similar to that of heavy social media users after they completed the four-week social media task. Then, social media had an impact on half of the brain, involving almost all brain networks. Finally, cerebral FC that mostly affected by social media was associated with selective attention. We concluded that the impact of social media use on cerebral functional connectivity changes is revealed by ISC method and longitudinal design, which may provide guidance for clinical practice. The methods used in the current research could also be applied to similar domains.

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Viewing personalized video clips recommended by TikTok activates default mode network and ventral tegmental area

Cited by 39 publications

References 104 publications

Combining Dynamic Network Analysis and Cerebral Carryover Effect to Evaluate the Impacts of Reading Social Media Posts and Science Fiction in the Natural State on the Human Brain

Combining Dynamic Network Analysis and Cerebral Carryover Effect to Evaluate the Impacts of Reading Social Media Posts and Science Fiction in the Natural State on the Human Brain

Short Video Viewing, and Not Sedentary Time, Is Associated with Overweightness/Obesity among Chinese Women

Intersubject correlation analysis reveals the plasticity of cerebral functional connectivity in the long‐term use of social media

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