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来自在自然环境中玩多人在线战斗竞技游戏时的脑电图数据集。

EEG dataset from playing Multiplayer Online Battle Arena games in natural settings.

作者信息

Li Hong-Zhi, Yang Jia-Jia, Lv Zhen, Wan Li-Yang, Wang Wo, Li Da-Qi, Zhou Dong-Dong, Kuang Li

机构信息

Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.

Mental Health Education and Counseling Center, Chongqing jianzhu College, Chongqing, China.

出版信息

Sci Data. 2025 Jul 2;12(1):1129. doi: 10.1038/s41597-025-05435-5.

DOI:10.1038/s41597-025-05435-5
PMID:40603368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12223101/
Abstract

Mobile Multiplayer Online Battle Arena (MOBA) games have emerged as one of the most popular gaming genres, yet the underlying neurophysiological mechanisms contributing to their addictive potential remain unclear. In this study, 23 participants played six real matches of Honor of Kings while synchronized 64-channel EEG recordings were conducted. We provide EEG data collected during gameplay, alongside corresponding video recordings. Additionally, we developed an experimental protocol that accurately marks the timestamps of player kills and deaths within the EEG data. This allows for an investigation of neurophysiological responses to kills and deaths at a millisecond-level time scale within actual MOBA gameplay. Furthermore, we include resting-state EEG data recorded in both eyes-open and eyes-closed conditions, as well as participants' demographic information and scores related to gaming addiction, impulsivity, and emotional regulation. This dataset aims to contribute to the understanding of neurophysiological responses in natural MOBA gaming environments, providing open access resources with high ecological validity.

摘要

移动多人在线战斗竞技（MOBA）游戏已成为最受欢迎的游戏类型之一，但其成瘾潜力背后的神经生理机制仍不清楚。在本研究中，23名参与者进行了6场《王者荣耀》的真实对战，同时进行了64通道脑电图同步记录。我们提供了游戏过程中收集的脑电图数据以及相应的视频记录。此外，我们制定了一个实验方案，可在脑电图数据中准确标记玩家击杀和死亡的时间戳。这使得我们能够在实际MOBA游戏玩法中，以毫秒级时间尺度研究对击杀和死亡的神经生理反应。此外，我们还纳入了在睁眼和闭眼条件下记录的静息态脑电图数据，以及参与者的人口统计学信息和与游戏成瘾、冲动性及情绪调节相关的分数。该数据集旨在促进对自然MOBA游戏环境中神经生理反应的理解，提供具有高生态效度的开放获取资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/148d613a9abc/41597_2025_5435_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/81525c1e818d/41597_2025_5435_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/11a6d89821eb/41597_2025_5435_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/d723eb5dde5e/41597_2025_5435_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/148d613a9abc/41597_2025_5435_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/be90bcd83a5b/41597_2025_5435_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/5e4ae44afe7d/41597_2025_5435_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/235a069a3e4c/41597_2025_5435_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/7a66cecf462a/41597_2025_5435_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/410a8de5e895/41597_2025_5435_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/7fc6be1be1c3/41597_2025_5435_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/81525c1e818d/41597_2025_5435_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/11a6d89821eb/41597_2025_5435_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/2f75cbd00c1c/41597_2025_5435_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/d723eb5dde5e/41597_2025_5435_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05c/12223101/148d613a9abc/41597_2025_5435_Fig11_HTML.jpg

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