Department of Psychology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Cereb Cortex. 2010 Nov;20(11):2522-30. doi: 10.1093/cercor/bhp293. Epub 2010 Jan 20.
Video game skills transfer to other tasks, but individual differences in performance and in learning and transfer rates make it difficult to identify the source of transfer benefits. We asked whether variability in initial acquisition and of improvement in performance on a demanding video game, the Space Fortress game, could be predicted by variations in the pretraining volume of either of 2 key brain regions implicated in learning and memory: the striatum, implicated in procedural learning and cognitive flexibility, and the hippocampus, implicated in declarative memory. We found that hippocampal volumes did not predict learning improvement but that striatal volumes did. Moreover, for the striatum, the volumes of the dorsal striatum predicted improvement in performance but the volumes of the ventral striatum did not. Both ventral and dorsal striatal volumes predicted early acquisition rates. Furthermore, this early-stage correlation between striatal volumes and learning held regardless of the cognitive flexibility demands of the game versions, whereas the predictive power of the dorsal striatal volumes held selectively for performance improvements in a game version emphasizing cognitive flexibility. These findings suggest a neuroanatomical basis for the superiority of training strategies that promote cognitive flexibility and transfer to untrained tasks.
视频游戏技能可以转移到其他任务上,但由于个体在表现和学习及迁移率方面存在差异,因此难以确定迁移收益的来源。我们想知道,在一项要求很高的视频游戏《太空堡垒》中,初始获取和表现改善的可变性是否可以通过两种关键大脑区域(纹状体和海马体)中任一种的预训练量的变化来预测:纹状体与程序性学习和认知灵活性有关,而海马体则与陈述性记忆有关。我们发现,海马体体积不能预测学习的提高,但纹状体体积可以。此外,对于纹状体,背侧纹状体的体积可以预测表现的改善,但腹侧纹状体的体积则不能。腹侧和背侧纹状体的体积都可以预测早期的获取速度。此外,无论游戏版本对认知灵活性的要求如何,这种纹状体体积与学习之间的早期相关性都成立,而背侧纹状体体积的预测能力则专门针对强调认知灵活性的游戏版本的表现提高。这些发现为促进认知灵活性和向未训练任务转移的训练策略的优越性提供了神经解剖学基础。