基于游戏的认知衰老评估:走向认知健康的数字生物标志物
Benny Markovitch1, Panos Markopoulos2, Max V Birk1
1Human Technology Interaction, Eindhoven University of Technology, Eindhoven, The Netherlands.
Digital biomarkers
|December 1, 2025
概括
基于游戏的认知评估提供了一种可扩展的方式来追踪衰老. 这项研究使用游戏创建认知衰老的数字生物标志物,显示了早期发现衰退的前景.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 计算心理学 计算心理学
背景情况:
- 认知表现自然会随着年龄的增长而下降,影响生活结果.
- 认知衰老是评估健康和发育的未充分利用的生物标志物.
- 数字生物标志物为认知评估提供了一种新的方法.
研究的目的:
- 建立基于游戏的数字生物标志物用于认知衰老的可行性和价值.
- 如何利用家庭认知评估游戏来收集数据.
- 开发和验证用于预测认知衰老的机器学习模型.
主要方法:
- 871名参与者 (18至75岁) 玩过"道跑者"认知游戏.
- 17个基于游戏的认知指标被用来训练机器学习模型来预测时间年龄.
- 嵌套交叉验证用于评估样本外预测准确性.
主要成果:
- 最好的机器学习模型预测年龄的平均绝对误差为6.97年 (相关性=0.626).
- 对于性别或游戏身份,没有发现预测偏见.
- 认知衰老得分与ADHD (衰老减缓) 和游戏玩家身份 (负关联) 相相关.
结论:
- 基于游戏的评估可以产生可访问的认知衰老的数字生物标志物.
- 这种方法允许可扩展,低负担的认知衰老评估.
- 潜在的应用包括早期认知衰退的检测,跟踪和干预评估.
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