4.7 Article

Lenticular nucleus volume predicts performance in real-time strategy game: cross-sectional and training approach using voxel-based morphometry

期刊

ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
卷 1492, 期 1, 页码 42-57

出版社

WILEY
DOI: 10.1111/nyas.14548

关键词

real-time strategy games; game performance; training; neuroimaging

资金

  1. Polish National Science Centre, NCN [2016/23/B/HS6/03843, 2013/10/E/HS6/00186, 2013/11/N/HS6/01335]
  2. Foundation for Polish Science (FNP)
  3. Kosciuszko Foundation
  4. Ministry of Science and Higher Education in Poland [012/RID/2018/19]

向作者/读者索取更多资源

This research found that players' brain structures may be related to real-time strategy game skills, aiding in successful learning of new skills, not limited to video games, but can also be applied to broader cognitive training.
It is unclear why some people learn faster than others. We performed two independent studies in which we investigated the neural basis of real-time strategy (RTS) gaming and neural predictors of RTS game skill acquisition. In the first (cross-sectional) study, we found that experts in the RTS game StarCraft(R) II (SC2) had a larger lenticular nucleus volume (LNV) than non-RTS players. We followed a cross-validation procedure where we used the volume of regions identified in the first study to predict the quality of learning a new, complex skill (SC2) in a sample of individuals who were naive to RTS games (a second (training) study). Our findings provide new insights into how the LNV, which is associated with motor as well as cognitive functions, can be utilized to predict successful skill learning and be applied to a much broader context than just video games, such as contributing to optimizing cognitive training interventions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据