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结合动态网络分析和脑遗留效应来评估在自然状态下阅读社交媒体帖子和科幻小说对人类大脑的影响。

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.

作者信息

Hu Bo, Cui Yu-Ling, Yu Ying, Li Yu-Ting, Yan Lin-Feng, Sun Jing-Ting, Sun Qian, Zhang Jing, Wang Wen, Cui Guang-Bin

机构信息

Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University Air Forced Medical University, Xi'an, China.

Department of Radiology, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.

出版信息

Front Neurosci. 2022 Feb 21;16:827396. doi: 10.3389/fnins.2022.827396. eCollection 2022.

Abstract

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.

摘要

社交媒体与注意力、记忆力和学习能力下降有关;然而,其潜在机制仍不清楚。动态功能网络连接性(dFNC)分析适用于揭示大脑的动态活动。此外,认知任务的影响可能会在大脑中持续一段时间,即使在任务终止后也是如此,这也被称为遗留效应。因此,我们结合dFNC分析和大脑遗留效应,来研究在自然状态下阅读社交媒体帖子时的大脑动态,并比较研究在智能手机上阅读科幻小说时的大脑动态。我们在基线时对所有受试者进行了功能磁共振成像(fMRI)扫描,然后为他们分配了社交媒体帖子或科幻小说阅读任务。之后,立即对这些受试者进行了另一轮fMRI扫描。我们发现,阅读科幻小说后,dFNC状态之间的变化、dFNC状态的数量和总距离增加。此外,阅读科幻小说后,深度思考状态的全局、局部和节点效率趋于增加。在阅读社交媒体帖子时,默认模式网络(DMN)与双侧额顶叶网络(FPN)之间的功能连接性(FC)下降,而DMN与视觉网络(VN)之间的FC增加。根据目前的证据,我们得出结论,阅读科幻小说可以大幅增加大脑活动和网络效率,而社交媒体与DMN、VN和FPN之间的异常FC有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6333/8901113/c60c6bb5868a/fnins-16-827396-g001.jpg

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