Lenticular nucleus volume predicts performance in real-time strategy game: cross-sectional and training approach using voxel-based morphometry.
Ann N Y Acad Sci
; 1492(1): 42-57, 2021 05.
Article
em En
| MEDLINE
| ID: mdl-33372699
ABSTRACT
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® 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.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Jogos de Vídeo
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Corpo Estriado
Tipo de estudo:
Observational_studies
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Prevalence_studies
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Prognostic_studies
Limite:
Adult
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Humans
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Male
Idioma:
En
Revista:
Ann N Y Acad Sci
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Polônia