网络游戏分数显示年龄相关认知能力下降的证据。
Evidence for age-associated cognitive decline from Internet game scores.
作者信息
Geyer Jason, Insel Philip, Farzin Faraz, Sternberg Daniel, Hardy Joseph L, Scanlon Michael, Mungas Dan, Kramer Joel, Mackin R Scott, Weiner Michael W
机构信息
Department of Radiology, University of California, San Francisco, CA, USA.
Department of Radiology, University of California, San Francisco, CA, USA; Department of Radiology, Center for Imaging of Neurodegenerative Diseases, VA Medical Center, San Francisco, CA, USA.
出版信息
Alzheimers Dement (Amst). 2015 Jun 3;1(2):260-7. doi: 10.1016/j.dadm.2015.04.002. eCollection 2015 Jun.
INTRODUCTION
Lumosity's Memory Match (LMM) is an online game requiring visual working memory. Change in LMM scores may be associated with individual differences in age-related changes in working memory.
METHODS
Effects of age and time on LMM learning and forgetting rates were estimated using data from 1890 game sessions for users aged 40 to 79 years.
RESULTS
There were significant effects of age on baseline LMM scores (β = -.31, standard error or SE = .02, P < .0001) and lower learning rates (β = -.0066, SE = .0008, P < .0001). A sample size of 202 subjects/arm was estimated for a 1-year study for subjects in the lower quartile of game performance.
DISCUSSION
Online memory games have the potential to identify age-related decline in cognition and to identify subjects at risk for cognitive decline with smaller sample sizes and lower cost than traditional recruitment methods.
引言
Lumosity的记忆匹配游戏（LMM）是一款需要视觉工作记忆的在线游戏。LMM分数的变化可能与工作记忆中与年龄相关变化的个体差异有关。
方法
使用来自40至79岁用户的1890个游戏会话数据，估计年龄和时间对LMM学习和遗忘率的影响。
结果
年龄对基线LMM分数有显著影响（β = -0.31，标准误差或SE = 0.02，P < 0.0001），且学习率较低（β = -0.0066，SE = 0.0008，P < 0.0001）。对于游戏表现处于下四分位数的受试者，估计一项为期1年的研究每组需要202名受试者的样本量。
讨论
在线记忆游戏有可能识别与年龄相关的认知衰退，并以比传统招募方法更小的样本量和更低的成本识别有认知衰退风险的受试者。
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